Accepted proposals
Select any title to view authors details and abstract

Index of proposals

1) Learning Preferences and Readiness for Online Learning
2) The Dunn and Dunn Learning Style Model: Theoretical Cornerstone, Research, and Practical Applications
3) Learning Approaches: Examination Type, Discipline of Study
4) Real learning in real time: Constructivist principles in practice
5) Peer Collaboration in Synchronous Computer-Mediated Communication: Promoting Discourse for Better Learning
6) The Effect of Brain Hemisphericity and Perceptual Learning Styles on the Use of Learning Strategies
7) Cognitive style, dyslexia and mode of instruction in higher education.
8) Toward Integrated and Revised Learning Styles Theory supported by Web and Multimedia Technologies
9) Interactive relationship between learner attributes and participation in web based courses
10) Learning Style Theory and Computer Mediated Communication
11) The relationship between learning style preference, attitude to learning, appropriate prior knowledge and achievement in the context of computer aided learning in electronics
12) Are individual learners disadvantaged by the use of Computer-Adaptive Testing in Higher Education?
13) Gender Differences in the Use of Digital Games
14) Learning Styles: An Overview of Theories, Models and Measures
15) The Influence of Culture on Learning Styles
16) The Relationship between students' cognitive styles and their learning difficulties in Higher Education
17) Learning style awareness: why would it work? In search for a theoretical explanation for a self-evident conception.
18) Comparing the learning styles of medicine and pedagogical sciences students
19) Approaches to learning and evaluation of teaching quality
20) Successful results when international administrators, teachers, students, and teacher trainers, correctly implement learning styles into the classroom culture: It's a road map to reach your goals effectively
21) Identification of appropriate aspects of a 30 question RASI to be included in a Motivational Interview booklet
22) Exploring the relationship between cognitive style and teaching style
23) What Do Language Learners Want from CALL? Emotional Stimulus as a Key to Academic Achievement
24) A Comparative Analysis of the Learning Styles of Adolescents from Eight Nations by Age, Gender, and Academic Achievement Level
25) Learning Styles in Teacher Education
26) Learning to an Entrepreneur in China
27) Developing a Learning Community as part of the Teaching Training Process
28) Using a learning styles approach to improve learning, achievement and retention in further education
29) Individual Differences in Learning Achievements: The Relations between Cognitive Style and Memory Capacity
30) An international and cross-cultural study of learning style preferences of entrants to hospitality and tourism management programmes
31) Cultural diversity & the exhibition of organisational citizenship behaviours
32) Workforce Diversity and Innovation: A Working Model for Today?s Business Environment
33) Critical Thinking-creative thinking-multiple intelligence:A cycle in the learning process
34) Cognitive style, dyslexia and mode of instruction in higher education.
35) A Level subject choice as a predictor of cognitive style
36) Developing Teacher Sensitivity to Student Learning Styles
37) Interactive Instructional Resources ProvidingTransformational Cognitive And Metacognitive Developmet Across An Indiscriminate Time Continum For Social Literacy And Academic Achievement
38) Learning style, academic performance, and attributions and emotions for academic performance
39) The influence of learning styles on the acquisition of tacit knowledge in three content areas of public sector management
40) Thinking styles and social problem solving
41) The Value and Use of Learning Styles in Developing Learning
42) A Systematic Review of Learning Styles and Pedagogy
43) The Relationship between Learner Variables and the Choice of Vocabulary Leraning Strategies
44) Informing design of learning situations through pedagogic research
45) Young children --- Learning with Technologies
46) Cognitive style, organisational culture, organisational learning and restructuring for a market economy: New evidence from Polish industry
47) Designing an On-line Learning & Creativity Profile Generator: A Fusion of Learning Styles, Creativity Diagnostics and LMS
48) Management Learning: a comparison between managers' perceptions of study progress and of career progress.
49) Context and Choice in Learning to Change in Healthcare
50) "Questioning styles" and students learning: four case studies
51) Embedding Entrepreneurial Studies Across the HE Curriculum: embracing independent learning, employability and transferable skills
52) Conceptions of learning and knowledge in higher education: Relationships with study behaviour and influences of learning environments
53) Entrepreneurship And Personality: A Case For Methodological Reform
54) Cognitive style as a predictor of entrepreneurial predilection
55) Success Factors of Ph.D. Research in the Contemporary Environment:An Empirical Study
56) Intuition: laying some ghosts to rest?
57) The Case for Individualizing Teaching Based on Cross-National Adolescents' Learning Styles

Learning Preferences and Readiness for Online Learning

Dr Peter Smith
Deakin University
AUSTRALIA

Using a sample of 314 Australian university students McVay's (2000, 2001) Readiness for Online Learning questionnaire is tested for its technical characteristics of reliability and factorability, with results indicating the instrument has promise both for research and for practice. The factor analysis identified a factor associated with self-management of learning, and one of comfort with e-learning. These factors are interpreted and discussed within a framework of the broader literature on learning preferences associated with flexible delivery and resource-based learning

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The Dunn and Dunn Learning Style Model: Theoretical Cornerstone, Research, and Practical Applications

Professor Rita Dunn,
St John's University,
New York,
USA

Researchers at more than 120 different institutions of higher education have reported at lest 800 studies conducted with the Dunn and Dunn Learning-Style Model (www.learningstyles.net). Support for this model's effectiveness was widespread. 1. The United States Center for Research in Education that examined the dismal results of 20-years of extensive federal funding (1970-1990) for Special Education (SPED) students. It reported that the Dunn and Dunn Model was one of very few programs that consistently increased SPED students' standardized reading and mathematics achievement-test scores (Alberg et al., 1992). 2. A meta-analysis of 42 experimental studies conducted at 13 different universities with the Dunn and Dunn Model between 1980-1990, revealed that eight variables coded for each study produced 65 individual effect sizes (Dunn, Griggs, Olson, Gorman, & Beasley, 1995). The overall, unweighted group effect size value (r) was .384 and the weighted effect size value was .353 with a mean difference (d) of .755. Referring to the standard normal curve, this suggested that students whose learning styles were accommodated could be expected to achieve 75% of a standard deviation higher than students who had not had their learning styles accommodated. Thus, matching students' learning-styles with educational interventions compatible with their preferences was beneficial to their academic achievement. 3. One decade later, a second meta-analysis of 76 experimental studies conducted with the Dunn and Dunn Model was completed by Lovelace (2002). The total sample size (N) was 7,196 and the total number of individual effect sizes was 168. Twenty-one dissertations came from 17 universities other than the one at which this meta-analysis was conducted; four dissertations were completed at the same university. Overall data reported significantly higher test scores when the Dunns' learning-style strategies were employed and compared with traditional teaching, regardless of the university at which the study was conducted. Most effect sizes were medium to large dependent on the elements tested. Very few effect sizes were small, but some elements affect students more than others. 4. Further support emerged from the reversal of underachievers' poor academic performances to statistically higher standardized-achievement test scores across grade levels and across the United States (Braio, Dunn, Beasley, Quinn, & Buchanan, 1997; Brunner & Majewski, 1990; Dunn, Bruno, Sklar, & Beaudry, 1990; Dunn & DeBello, 1999; Dunn & Griggs, 2003; Klavas, 1994; Stone, 1992). 5. In response to the New York State Education Department's 1998 mandate that all SPED students must pass the statewide Regents Examinations or forfeit graduation (Office of Elementary, Middle, Secondary, and Continuing Education School Executive's Bulletin, 2000), the Hamburg, New York Frontier High School SPED teachers received extensive training in the Dunn and Dunn Learning-Style Model. They then applied those strategies in inclusion classrooms to accommodate the learning styles of all students, but especially those of students with disabilities. After only one year in Frontier's learning-style program, students with disabilities demonstrated outstanding results on the New York State Regents Examinations. Of the 1998-99 Special Education students who took the Regents Comprehensive Language Exam, 89% passed. On both the Regents English and Regents Chemistry Exams, 100% passed. In Regents U. S. History & Government, 90% passed, and in Regents Math, Course I, 96% passed. In Regents Biology, 73.3 passed and 20% of these students passed the Regents Math Course III course. 6. Because the Dunn and Dunn model is university, rather than commercially based, it has had the advantage of many professors and graduate students test and retest its tenets and practices during the past three decades. Many of those investigators have published individually and collaboratively in refereed research and professional journals (Research with the Dunn & Dunn Model, 2003). For the intervention experiments conducted with this model at St. John's University, its researchers have been the recipients of 32 national and international awards for the quality of their work (see Table 1). 7. Support also emerged from several researchers who examined the construct validities and reliabilities of the Dunns' diagnostic assessments in contrast with those of other learning-style instruments (Curry, 1987; Miller & Edgar, 1994; O. A. Roberts, 1999). 8. Further support resulted from researchers who used the Dunn and Dunn construct to increase achievement in engineering (Ingham, Ponce Meza, & Price, 1998), corporate training (Ingham, 1991), law (Boyle & Dunn, 1998; Boyle, Russo, & Lefkowitz, 2003; Russo, 2002a, b), allied health (Miller & Dunn, 1997; Miller, Ostrow, Dunn, Beasley, Geisert, & Nelson, 2000-2001), and nursing (Dunn & Griggs, 1998; Lenehan, Dunn, Ingham, Murray, & Signer, 1994; O'Hare, 2002; Van Wynen, 1997, 1998, 2001). 9. The establishment of 28 independent university or corporate Centers internationally all of which use, provide staff development in, and conduct research with this model. Therefore, this manuscript briefly synthesizes the theoretical cornerstone of this model, its research findings, and the instructional strategies it suggests for teaching selected students based on their performance in traditional schools and their identified learning-style traits.

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Learning Approaches: Examination Type, Discipline of Study

Swee Smith (Ms)

Deakin University,

Australia

Two hundred and forty-eight Australian university students participated in a study that investigated the influence of assessment type and discipline of study on students' learning approaches. Participants (93 Psychology and 155 Business students)responded to the Study Process Questionnaire (Biggs, 1987) in a context of preparation for a hypothetical examination. The hypothetical examination is in either a multiple-choice or an essay format. Results indicated that assessment type had no significant influence on how students approached their learning, while discipline did have significant influence on student learning. These findings were explained with reference to Hounsell's (1997) work and Becher's (1994) model on disciplinary types.

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Real learning in real time: Constructivist principles in practice

Ahmed Ali

University of Wisconsin

USA

Learning styles that promote knowledge acquisition through reflection on personal experiences, interaction, and collaboration with others have become appealing in the last few decades. Students are provided with opportunities to explore, discover and construct knowledge that is relevant, applicable, and useful to them instead of passively receiving information from teachers. Students no longer have to receive prepackaged content but can actively contribute towards constructing their own knowledge for real world activities. Among the changing learning practices, constructivism has emerged as a strong and significant learning theory that emphasizes student-centered learning (Dalgarno, 2001). Though traditional teaching and learning styles are still widespread, individual instructors and programs have tried various techniques to meet the learning needs of their students which were not being met by the traditional teaching methods (Jonassen, 1991). Changes in the pedagogy focus on techniques that promote students dynamic learning and engage students in the learning and teaching processes. Students are moved from the periphery of the learning process to being important collaborators. A two year certificate program in a Mid-western university implemented a constructivist style learning environment by creating a curriculum focused around students participation in curriculum and course design, pedagogical planning and practices, and course and program evaluation. The program was a 30 quarter-hour undergraduate certificate program on global issues, with a strong emphasis on real-world projects and problem-solving skills. This multidisciplinary program was supported and coordinated by the Colleges of Business, Communication, Engineering, and Arts and Sciences. It prepared students for leadership and global issues. Courses were not traditional classes with lectures and tests, but involved project and problem-based learning, peer learning, student-led teaching, field experiences, and group activities. Learning settings included classrooms, the web, student homes, and distant field locations. The program required students to live together in the same residential building. When students simply receive and consume knowledge, as is widely practiced, they fail to exploit their potential, and end up becoming part of the reproduced graduates with limited real life experiences. Constructivism allows students to experience learning and reflect on their experiences. Some people may argue that applying constructivist principles is impractical. This may be true if we follow the radical constructivists views that constructivism cannot work in structured learning environments. However, the theory can be implemented if the learning environment is organized to facilitate the application of constructivist styles without discarding parts of the formal structure that is helpful. The program described in this paper utilized the traditional formal structure to support the implementation and application of constructivist teaching and learning styles. A hybrid of different styles that do not conflict, but instead complement one another, is a realistic way to deliver instruction.

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Peer Collaboration in Synchronous Computer-Mediated Communication: Promoting Discourse for Better Learning

Ahmed Ali

University of Wisconsin

USA

Instructional environments play significant roles in students learning. The learning settings are as important as the roles of the teachers and students. Facilities, space, and ergonomics can help or hinder learning. A friendly and conducive learning atmosphere can motivate students and support individual and/or collaborative learning. Technology as an instructional tool and medium of communication has influence on instructional styles in classrooms. For example, teaching and learning in an electronic classroom is conducted differently from a traditional chalkboard classroom. Technology implementation in classrooms has diversified teaching and learning styles. Students are no longer confined to the teacher s lectures only. Technology resources, such as computers and the Internet, help to facilitate student s control of learning and encourage interaction in the classroom (Gokhale, 1995). The changing instructional styles have influenced how learning is conducted in the classroom. The vast resources available in an electronic classroom reduce a students dependence on the teacher. Because of the communication facilities, students may ask for help from one another. Electronic interactive communications provide students with opportunities to explore ideas and work problems from multiple perspectives. The presence of technologies such as the Internet facilitates discussions and interaction. Students are motivated to work because of the hands-on activities and the collective responsibility they share. Having access to electronic resources is important in collaboration. Unlike the traditional classroom, electronic classroom provides students with access to all resources at one place and time. The immediate application of knowledge is helpful to students. E-classrooms allow for the practical application of skills developed. Thus, there is a nexus between classroom knowledge and real-world application of the knowledge. Synchronous communication services such as chat and instant messaging can promote dialogue and discourse. The advantage of chatting is that it provides anonymity for shy students. Combining electronic and face-to-face collaboration in the same setting provides students with opportunities for their preferred style for collaboration. Students who might be less productive in face-to-face group discussions will be able to contribute productively to group work by participating actively in an electronic discussion, and vice versa. The environment for collaboration in an e-classroom can be counterproductive if students misuse the resources for activities not related to their respective class activities. Synchronous communication such as chat and instant messaging can be disorganized, unstructured and difficult to document. Discourse recording in real-time computer-mediated communication is not simple or user-friendly. The digital resource saturation in one room can reduce the efficiency of the resources. For example, a sluggish network or freezing and crashing computers can slow down students activities, and this can cause students to spend more time on technical rather than content issues. E-classrooms are developed with a mindset for a technology lab even if they are meant to be for instruction. Students must first acquire technical skills needed to use the services and facilities before using the services for collaboration and learning. This becomes an add-on to the students learning. Collaboration is an important strategy for promoting learning by encouraging students to participate and construct knowledge. Collaboration provides students with an opportunity to explore their potential, and develop problem solving and critical thinking skills as an individual and as a group member. The medium of communication such as face-to-face and/or online, synchronous and/or asynchronous communication can influence the effects of collaborative learning. Electronic classrooms facilitate collaboration, and access to various communication technologies provides students with options for collaboration. E-classrooms allow for a combination of face-to-face and online collaboration.

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The Effect of Brain Hemisphericity and Perceptual Learning Styles on the Use of Learning Strategies

Dr Jamila Suliman Khanji

Ministry of Education

United Arab Emirates

The Barsch Learning Styles Inventory (BLSI) (Barsch, 1994), the Brain Dominance Inventory (BDI) (Davis, 1994) and the Strategy Inventory for Language Learning (SILL) (Oxford, 1989 and Oxford, 1990), were first translated into Arabic and then used in a study of 348 female students from the United Arab Emirates. The results of the perceptual style (visual, auditory, tactile) and brain dominance (right brain, left brain or the whole brain) subjects are presented in details and used to categorize groups for the factor analysis of the strategy data in this study. A nine-factor, principal component, Varimax (oblique) solution to the SILL data was used as a statistical analysis approach to facilitate comparison between the results of the strategy data of this study and the outcome of a large meta-study done by Oxford and Burry-Stock (1995), in which they examined the factor structures of six data sets generated by six different researchers who had used the SILL on subjects from various cultures and backgrounds. In the present study, the factors generated from the 348 students and those generated from sub-groups on the basis of their perceptual style and brain dominance are compared to each other and to the results quoted in Oxford and Burry (1995). All solutions accounted for more than 50% of the variance in the different data sets which was taken to indicate that more than one half of the language LSs' use is represented by items on the identified SILL factors of these solutions. The result of the 348 subjects as one group tends to reflect the original classification of the SILL. However, when subjects are grouped according to their perceptual and brain dominance, the analytic factors are shown to be distinctly different for the different groups. For example, the right-brainers: factor 1 consisted of meta-cognitive LSs and factor 2 consisted of cognitive LS. These two factors are reversed in the case of the left-brain dominance. Similar remarks apply to the analytic factors derived from the data sets according to the subjects’ perceptual style. The main thesis of Oxford and Burry (1995) is that cultural differences constitute the underlying cause for differences in the structure of the principal factors. However, the principal component analysis of the present study data, performed on categories classified according to their learning styles, produces different, but distinct, factors .It could, then, be argued that these analytic factors are attributable to the basic, yet distinctive, learning style subsets within the same study (cultural) group. This conclusion indicates that differences in the structure of the principal factors resulting from analyzing the SILL's data are, in all probability, learning style, rather than cultural, dependent. The effort to promote language learning across population groups might, therefore, be served by similar studies that utilize these analytic factors to explore/quantify the differences (if and whenever they exist) between subjects who possess the same learning style but who belong to different cultural groups. This is likely to further our understanding of the manner in which students from different cultural backgrounds utilize/prioritize LSs.

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Cognitive style, dyslexia and mode of instruction in higher education.

Tilly Mortimore

ESRC PhD Student

University of Cardiff

This research project examines the relationship between dyslexia and learning style in male university students and investigates the extent to which different ways of presenting information might affect the levels of success experienced at a typical university lecture task. Its focus is to determine the impact dyslexia, cognitive style and mode of presentation might have upon success levels and, through the use of questionnaire and interviews, their effect upon the quality, positive or negative, of the student's learning experiences at university. Research Questions The study posed the following questions: 1. Is dyslexia associated with a predominant cognitive style? 2. Is variation in cognitive style associated with differences in the ability to assimilate information from the lecture form of presentation? Is the pattern equivalent for students with and without dyslexia? 3. What is the relationship between the way in which information is presented and the successful comprehension and retention of that information? How does cognitive style and dyslexia impact upon this relationship? 4. What are the implications of the findings for teaching and support practices in higher education? Methodology Sixty dyslexic and sixty non-dyslexic male students were recruited from fourteen HE institutions. They were selected from a wide range of disciplines and care was taken to match the spread of ages and subjects across the dyslexic and non-dyslexic groups. Cognitive style was measured by the Cognitive Styles Analysis (Riding, 1991); the students watched a short videoed lecture presented with or without graphic reinforcers; students filled out and discussed a questionnaire as to learning experiences and preferences and completed a task booklet testing their recall of the lecture information. Students discussed the implications of the result of the Cognitive Style Analysis for their approaches to study at University. Results and Discussion Results of the students' performances on the test and the questionnaire responses are presented. The implications of the results for teaching and support procedures are discussed.

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Toward Integrated and Revised Learning Styles Theory supported by Web and Multimedia Technologies

Bozidar Klicek

University of Zagreb, Croatia

This paper describes an approach towards integration and revision of different learning style theories. Advanced uses of learning technologies need a very comprehensive and precise understanding of learning processes. Present theories describe learning only partially, listing advantages, having many similarities in their approaches and orientation towards the classical way of teaching. Several learning theories are investigated, such as Kolb's experimental model, the theory of multiple intelligences, Myers-Briggs type indicator, visual-auditory-kynestetical model, VARK learning styles inventory, modality strengths model, learning styles inventory, and index of learning styles (ILS). In order to investigate the possibility of grouping students according to different learning styles and different technology preferences, a survey was conducted. The same group of students (N=500) was tested using a multi-standard learning style questionnaire, with additional questions oriented towards different technologies that support today's learning. Analyzed survey results explain some inter-connections among present theories, which could serve as an initial basis for integrating different approaches, as well as for revising the role of classical tools vs. multimedia and Web tools. A decision tree and neural networks using these results were made in order to test the dependency among learning styles and technology preferences. A significant inter-dependence of learning styles and technology preferences was found. An experimental Web multimedia educational system is suggested, enabling detailed empirical investigation of the learning process. This system is based on: a) semantic network learners model, b) assembled multimedia and Web technologies (animation, texts, sound, visual content, video, forum and chat communication, knowledge testing, etc.), c) support teachers and those familiarizing themselves with the learning process, d) comprehensive empirical research with detailed reports on the monitoring of the learning process of a particular large group of students. Initial research results show some important findings concerning knowledge comprehension and confirmation, main characteristics of the learning process, key entities and their roles, as well as adequate technologies needed to support each learning style. Due to the complexity of the learning process, we consider such approach to be an important step towards creating an integrated and revised theory of learning styles. The suggested Web multimedia educational system has been experimentally implemented as a part of the academic course of intelligent systems, through the Educational Repository for Intelligent Systems (ERIS) project. Besides being used for teaching the topics in question, such experimental system trains students to use different computer technologies, and offers a wide range of research instruments that can be used for further investigation of the learning process. The list of further promising researches is proposed and described.

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Interactive relationship between learner attributes and participation in web based courses

Margaret Anderson

Psychology dept., Suny Cortland, New York

Distance education, especially asynchronous Web based, is one of the fastest growing sectors of education today. This growth is due to its accessibility by a wide range of individuals in different locations, with different schedules, commitments and ability levels. Little research has yet been devoted to studying which individuals succeed with this new educational format and, more importantly, how best to accommodate students who may not innately possess the attributes necessary to thrive in this new environment. There is some information related to the demographic profile of successful distance students. However, to date there is little documentation of the interaction between specific cognitive components and performance in an asynchronous distance course. Similarly, there is no prescription for the pedagogical elements that need to be included in a distance course in order to ensure that individuals with diverse approaches to learning are all able to gain the most benefit from this new educational environment. Probably the most interesting empirical question related to participation in Web based courses is the extent to which an individual's approach to learning can actually be modified as a result of participation in the course itself. The present paper addresses three interrelated questions. First, is there a relationship between performance in an asynchronous distance course and student's learning style, metacognition and self-directed approach to learning? Second, does taking an asynchronous distance course affect the student's learning style, metacognitive abilities and self-direction for learning? Third, which elements of the course interact specifically with the various learning attributes? Based on existing research from related areas I have created an interactive model of the learner and the impact of participation in Web based courses on academic performance. I predict which learner characteristics are most likely to facilitate performance in a Web based course, and indicate the importance of certain preexisting experiential elements. Throughout the model, the crucial element becomes understanding the recursive interaction between the student, the course and the outcome measures. The issue facing distance educators is not just the impact of the medium or the individual characteristics of the successful learner. The issue is to determine the significance of the interaction between the two. I would like to have the opportunity to present this model to your conference participants in order to solicit their feedback on the model. In particular I welcome the opportunity to explore possible instruments that could be used to validate this model.

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Learning Style Theory and Computer Mediated Communication

Hilary Cunningham-Atkins & David Moore Leeds Metropolitan University & David Hobbs, Bradford University

Computer mediated communication (CMC) is becoming a popular tool in tertiary education establishments for both distance and campus-based students. However, whilst CMC offers many advantages, especially to distance students, there are concerns about the low levels of active participation in conferences. The authors have argued elsewhere [Atkins et al. 2001] that one of the causes of low participation may be an incompatibility between students' learning style and the style imposed by CMC, and proposed that Riding's Cognitive Styles Analysis be used in an empirical study of the educational use of CMC. This paper reports on the preliminary findings of such a study involving students from three courses run by the British Open University. Riding's verbal-imagery style dimension describes the way in which individuals represent knowledge, in mental pictures or in words. Intuitively it was felt that this would be the dimension of greatest importance in the text-based environment of CMC and that students with a score at the verbaliser end of the dimension would feel most at home in the environment. However, contrary to these expectations, it would appear from our study that it is the students who fall at the imager end of the dimension who are more likely to thrive in the CMC conferences. In general, however, statistical analysis of the data does not suggest any strong influence of learning style on student participation in the conferences. However, our data does suggest a link between certain learning styles and course completion and also that the interaction of different styles within a group, as described by Riding & Rayner's [1998] team roles, may have an indirect influence on the completion of educational tasks when utilising CMC. References Atkins, H., Moore, D. and Hobbs, D. (2001) Learning Style Theory and Computer Mediated Communication. In: Proceedings of ED MEDIA 2001, June 25-30 2001, Tampere, Finland. Riding, R. and Rayner, S. (1998) Cognitive Styles and Learning Strategies: Understanding Style Differences in Learning and Behaviour, London, David Fulton.

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The relationship between learning style preference, attitude to learning, appropriate prior knowledge and achievement in the context of computer aided learning in electronics

Stephanie Atkinson

Sunderland University, UK

This paper is concerned with comparing the relationship between an individual s learning style preference, attitude to using computers for learning, level of appropriate prior computing and electronics knowledge, and achievement, in the context of computer aided learning (CAL). The results of a small-scale study involving thirty-two students (eighteen male and fourteen female) studying their first electronics module during an Initial Teacher Training (ITT) Design and Technology degree programme at a University in NE England are reported. Data concerning cognitive style was collected using a well-established Cognitive Style Analysis (Riding, 1991), attitude to CAL was established using a 58 item summated rating scale. A questionnaire ascertained the prior electronic knowledge and computing skills of the sample, whilst levels of achievement were provided by a post-test embedded in the CAL package that was the main teaching strategy utilised in the module under question. The collected data indicated that those students who had no electronics knowledge at the start of the module were significantly less positive in their attitude to using CAL in their quest for knowledge than those with previous electronics experience. The data also suggested that the level of computing skill prior to starting the course may be more important to achieving a high mark for electronics in this CAL situation than the level of previous electronics knowledge appeared to be. The data did support the belief that there was a different relationship between a student s attitude to CAL and their ability to achieve using such learning materials, depending upon their preferred learning style. On one cognitive style dimension Imagers had the most positive attitude and Verbalisers had the least positive attitude, whilst on the other dimension Wholists were the least positive and Intermediates at the centre of the dimension were the most positive. As far as achievement was concerned Intermediates followed the expected pattern and achieved the highest mean mark, whilst Wholists achieved the lowest score. However, on the other dimension Verbalsiers who had the poorest attitude to CAL actually achieved the highest mark in the electronic test and Bimodals at the centre of the dimension achieved the lowest mean mark. Possible reasons for these results are discussed in the paper. Unfortunately the imbalance in student numbers in the three categories on one cognitive style dimension may have skewed some results. It is therefore the intention of the researchers to continue to collect data from subsequent groups of students to see if further data will replicate these results and add credence to the interesting findings obtained so far in this study.

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Are individual learners disadvantaged by the use of Computer-Adaptive Testing in Higher Education?

Trevor Barker & Mariana Lilley, University of Hertfordshire

This paper presents ongoing research at the University of Hertfordshire on the use of computer-adaptive tests in Higher Education. Computer Adaptive tests are a form of computer-based testing where the difficulty of the test is tailored to the individual learner. In general terms, the test starts with a question of medium difficulty. If the student answers the question correctly, a more difficult question is next presented. Conversely, if the question is answered incorrectly, an easier question follows. The statistical process which supports the selection of the next question is based on Item-Response Theory (IRT). The main purpose of CAT is to present the student with questions that are challenging for his or her level of ability. Questions that reflect a student's skills provide more information about the student and motivate more than those that are either too difficult or too easy. One of the consequences of the dynamic selection of questions is that no two student will answer the same set of questions. This may bring both advantages and disadvantages. Although students may feel motivated, some students may consider that the fairness of the test is jeopardised, since the set of test questions is not the same for all participants. One student may answer the same number of questions correctly as another student, yet achieve a lower level, and hence a lower grade. It is therefore important to be sure that students are not disadvantaged by the CAT approach. The research described in this paper therefore relates to the design, development and evaluation of computer-adaptive testing software for a Visual Basic programming course at the University of Hertfordshire in a real educational context. In previous research, academic staff and students evaluated the CAT software introduced here. The academic staff performed an expert evaluation of the software to ensure that it was usable and pedagogically sound. A group of international students compared the software with a traditional computer based test, and took part in a focus group session. During this session, students discussed issues related to computer-adaptive tests, ranging from their perception that very easy tests are “meaningless” to their insights into the fairness of such computer-assisted assessments. In this research, 128 second year computer programming students at the University of Hertfordshire took the CAT test as part of their normal coursework assessment. This assessment consisted of two theory tests each having a traditional CBT component and CAT component and off-computer project work. Performance on the CAT and CBT parts of the course was compared, using an Analysis of Variance and Pearson’s correlation. The results of this suggested that the CAT test was a better measure of learner ability than the CBT component. We also compared the CAT and CBT tests with the off-computer assessments. We were able to conclude from this that the CAT approach was a fair measure of learner ability. Students were also measured using Riding’s CSA test. We present the results of this test and discuss some interesting differences in learner performance related to individual cognitive style.

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Gender Differences in the Use of Digital Games

Phil p Bonanno

University of Malta

This paper reports work in progress investigating gender differences in the use of digital games amongst advanced level Biology students. It is an elaboration on previous work exploring the relationship between cognitive style and academic performance in Maltese students taking Biology at advanced level (Bonanno 2001). In this work the Cognitive Style of 581 (212 males and 369 females) advanced Biology students, as determined by the Cognitive Style Analysis (CSA) administered (Riding, 1991), was correlated with their academic performance in five different subjects. Pearson s Correlation showed that the Wholist-Analytic dimension, the Verbal-Imagery dimension and gender were not correlated. Regression Analysis showed that none of the style dimension combinations proved to have significant effect on performance in any of the subjects. But gender proved to be a stronger determinant in performance. These results were interpreted from a Cognitive Neuroscience perspective. Numerous studies consistently found gender differences in language and visuospatial skills. Female superiority is seen on tests of both receptive and productive language, and on more complex tasks such as making analogies and creative writing. Males have an advantage in visuospatial reasoning being more adept at performing disembedding and internal spatial transformations required by a task. In view of these results and the constantly reported gender difference in the use of digital games, this paper describes the initial stage of an investigation about gender-determined propensities to digital media. Different studies claim that males dedicate more time to playing digital games than female students. A marked emphasis on the use of particular game genres by the different sexes is also reported. This reported phenomenon is investigated within the context of Maltese students taking advanced Biology. Using a questionnaire students were asked about the time they spend playing digital games, their preferred platform and their preferred games. Data is being analysed to establish gender differences in the time spent on playing digital games, the preferred platform, the most popular digital games amongst males and female students, and the preferred game genre. The results will be interpreted from a Cognitive Neuroscience perspective. Suggestions will be made for possible integration of digital games in science instruction.

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Learning Styles: An Overview of Theories, Models and Measures

Simon Cassidy, University of Salford

Although its origins have been traced back much further, research in the area of learning styles has been active for at a conservative estimate around three decades. During that period the intensity of activity has varied, with recent years seeing a particularly marked upturn in the number of researchers working in the area. Also of note is the variety of disciplines from which the research is emerging. Increasingly, research in the area of learning style is being conducted in domains outside psychology the discipline from where many of the central concepts and theories originate. These domains include medical and health care training, management, industry, vocational training and a vast range of settings and levels in the field of education. It is of little wonder that applications of these concepts are so wide ranging given the centrality of learning and how best to do it to almost every aspect of life. As a consequence of the quantity of research, the diversity of the disciplines and domains in which the research is conducted and the varied aims of the research, the topic has become fragmented and disparate. This is almost certainly how it must appear to researchers new to the area, with its complexities and convolutions difficult to easily comprehend and assimilate. As such, it is perhaps timely to present an account of the central themes and issues surrounding learning styles and to consider the instruments available for the measurement of style. The paper aims to provide such an account, attempting to clarify common areas of ambiguity and in particular issues surrounding measurement and appropriate instruments. It aims to bring together necessary components of the area in such a way as to allow for a broader appreciation of learning styles and to inform regarding possible tools for measurement. It is anticipated that such an account will promote research in the field by presenting it as more accessible and by developing a greater appreciation for the area across disciplines and for researchers new to the area.

 

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The Influence of Culture on Learning Styles

Zarina Charlesworth, Glion Institute of Higher Education

Despite a considerable body of scholarly research on learning styles, the literature that investigates the influence of culture on learning styles is relatively sparse. In light of the increasing internationalisation in institutes of higher education this project aims to examine the learning styles and strategies of students of diverse cultural backgrounds enrolled in an international management programme. A two-stage pilot study is being conducted using a sample of eighty 3rd year degree students studying in a Swiss institute of higher education. Focus group research, using groups split into three cultural subsets, indicates that strategies for learning are conditioned by socio-cultural factors. In the second stage a revised version of the Honey and Mumford Learning Style Questionnaire (1986, 1992) is administered to a population of multi-cultural students. Preliminary findings suggest that the diversity of learning styles likely to be found in the classroom is accentuated in the case of international cohorts. These findings are discussed in the context of the development and delivery of international degree level management programmes.

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The Relationship between students' cognitive styles and their learning difficulties in Higher Education

Mary Davis, Swansea Institute of Higher Education

"The words or the language, as they are written or spoken, do not seem to play any role in my mechanism of thought." In Einstein's description of his thought processes, we are given an insight into the experience of the visual thinker for whom words are inadequate symbolic representations of both the concrete world and of conceptual thought. This paper is based on empirical research, supported by theory, in the relationship between students' cognitive styles and the learning difficulties they experience in higher education. For Einstein, the 'logical construction' of thought in words was arrived at only after a process of visualisation, "in more or less clear images". He describes how conventional words or other signs had "to be sought for laboriously only in a secondary stage…." This offers a useful model for understanding the nature of the difficulties of those students who struggle with the written word: a student whose mode of learning relies on visual/spatial imaging (and I will be focusing particularly on those studying in art and design), may be disadvantaged in an environment which, traditionally, measures the performance of its students through tasks which are language based and linear. This dichotomy, between a student's cognitive style which is right brain dominant and teaching methods which favour left-brained learners, forms the basis of much of my work as a study support and dyslexia support tutor. The work in accelerated learning techniques has been developed from the link established between hemispherical dominance and learning styles. Alongside this, Gardner's identification and categorisation of intelligences is in keeping with the idea that, while for some learners, their strengths may, for example, lie in the left hemispheric realm of language, they have within them the capacity to acquire and develop those abilities which are associated with the right hemisphere, for example, visual imaging. These ideas have pedagogical implications which, at Swansea Institute, we are addressing through the programme of staff development which I am currently delivering. Its aims and objectives are to develop teaching and learning strategies which are orientated towards students' learning styles. Staff are supported in this by a computerised screening package which our first year cohorts sit early in the first semester. QuickScan gives a comprehensive report on the student's individual style, with detailed examples of related learning strategies. It also identifies study skills' needs and indicators of dyslexia. The package offers a database of information on correlations between students' learning styles, study skills needs and a possible dyslexic profile. The correlations can be extended across subject areas - for example, we might expect students studying art and design to be visual spatial learners and for there to be higher numbers of dyslexic students studying creative subjects. In the context of the relationship between students' cognitive styles and learning difficulties, the results of this study will be set alongside the work done with students in study support and dyslexia support as the basis for discussion of their implications for current forms of assessment.

 

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Learning style awareness: why would it work? In search for a theoretical explanation for a self-evident conception.

Ella Desmedt, Ghent University

Educational applications of learning styles are traditionally based on ATI-based matching guidelines. This practice has been criticised for different reasons. Interventions to promote awareness of and reflection on one s own learning style have been put forward as a valuable alternative. That learning style awareness has a positive effect on the learning process indeed seems to be a self-evident conception. Empirical research on this topic is starting to emerge. Yet no attempts have been made to explain why this could be a reasonable hypothesis. In this paper, we try to solve this black-box problem by proposing a theoretical process-model. The model builds on cognitive psychology, research on metacognition and self-regulated learning, and on theory about self-concept. It hypothesises that receiving information about learning styles in general enhances metacognitive knowledge about the person factor in learning. Reflection on and awareness of one s own learning style contributes to the complexity and accuracy of the self-concept. The learning style framework thus provides a language that enables verbal expression and representation of individual differences in learning on the one hand, and of the own strengths and weaknesses on the other. As a result of these intertwined developments, the student can engage in more precise metacognitive monitoring, which in turn enhances his ability to self-regulate. However, thinking about a theoretical explanation just as well generates reasons why learning style awareness and reflection would not generate surplus value. The likelihood of this hypothesis will be discussed in conclusion.

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Comparing the learning styles of medicine and pedagogical sciences students

Ella Desmedt, Ghent University

A central conception in learning styles theory is that there is a relationship between learning style and academic discipline. One could even argue that this match makes up a central aspect of the construct validity of the learning style concept. Whether learning style determines academic career choice or academic career forms a particular learning style remains unclear. It is however generally accepted that both processes exercise mutual influence. In this paper we will compare the learning styles of the freshman medicine (N = 132) and pedagogical sciences (N = 190) students at Ghent University. Learning styles are operationalised in two ways. We used Witkin s GEFT (cognitive style) and Kolb s LSI (learning style). These instruments were administered from the medicine students at the beginning of the academic year 2002-2003 as a pre-test in a broader intervention study. From the first analyses of these data, we learned that this group is very homogeneous. All the students scored very high on the field-independence dimension of the GEFT. Some exceptional cases not to mention, they all displayed a clear preference for abstract conceptualisation. Assimilating and converging were the dominant learning styles in this group. To be able to contrast these results, the instruments were also administered from the pedagogical sciences students, a clearly distinct group. The following hypotheses will be tested. They are derived from theory and from information about the intake of students in both faculties. - The medicine students are more field independent than the pedagogical sciences students. - The medicine students have a stronger preference for abstract conceptualisation than the pedagogical sciences students. - The medicine students have a stronger preference for reflective observation than the pedagogical sciences students. - The pedagogical sciences group is more heterogeneous than the medicine group: all learning styles are more equally represented. The implications of the results for the construct validity of the learning style concept will be discussed.

 

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Approaches to learning and evaluation of teaching quality

Ege Diseth, University of Bergen

Research on individual differences in learning motives and learning strategies, conceptualised as Approaches to Learning (ATL), may be improved if we also consider the importance of how the students perceive their learning context. On way of addressing this issue, is to explore how the students evaluate and experience different aspects of the teaching quality, and to compare this with their score on inventories measuring ATL. Given that the same teaching is evaluated differently by students, it is possible that the students individual characteristics might predict how they perceive and evaluate the teaching quality. Furthermore, the relative contribution of approaches to learning and evaluation of teaching quality as predictors of academic achievement may shed light on the external aspects of construct validity, both for evaluation inventories and for inventories measuring ATL. Such findings may be useful in the design of future evaluation inventories and as a tool for the improvement of teaching quality. In order to investigate these issues, results from 250 undergraduate psychology students and 140 law students were collected. These students completed the Approaches and Study Skills Inventory for Students (ASSIST) and a newly developed inventory measuring different aspects of the teaching quality, such as lecturer presentation, lecturer enthusiasm, workload of the curriculum, etc. In addition, the students reported the amount of time they spent on diverse study activities during one typical week of studying, and how well they thought they would perform on the forthcoming exam. This study also gave the opportunity to collect the students examination grade at the end of the semester. Principal component analysis of the inventory measuring evaluation of teaching quality produced 6 factors. A subsequent confirmatory factor analysis showed that these 6 factors may be accounted for by one higher order factor. Structural equation modelling showed that approaches to learning moderately predicted this fact or, but that most of the variance in evaluation remained unexplained by ATL. Furthermore, approaches to learning accounted for a substantial amount of the students own prediction of their forthcoming academic achievement. As the results from the forthcoming exam will soon be available, it will be possible to present the relative contributions of evaluation and ATL as predictors of actual academic achievement.

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Successful results when international administrators, teachers, students, and teacher trainers, correctly implement learning styles into the classroom culture: Its a road map to reach your goals effectively

Laura Shea Doolan, St Joseph's College, Brooklyn, New York

This investigator conducted a historical analysis of the International Learning Styles Network (ILSN) and its impact on instructional innovation. Data were analyzed to: describe how this Network evolved; decipher whether the ILSN had evidenced an impact on instructional innovation; and develop a model and guidelines that could assist in the formation of future networks. This study focused extensively on this Network and included nine research areas one of which is the current focus for this document--the secondary sources responses. Data from: primary sources--the directors of the 21 ILSN Centers, whose Centers were located on the continents of Asia, Australia, Europe, and North America--; secondary-sources--two former representatives of the National Association of Secondary School Principals (NASSP), one ILSN Board member, and 87 participants representing school administrators, professors, teachers, and students directly involved with those Network Centers were examined. This research focuses on the 6 multi-site interviews with the 87 secondary sources. These participants from rural, suburban, and urban schools, private and public institutions and kindergarten through higher education levels, represented administrators, higher education professors, learning-style teachers, teacher trainers, elementary, high school, and higher education students, board members, and other education stakeholders--all of whom were involved with the Network Directors. A qualitative design using historiography was the cornerstone of this study. Interviews, in conjunction with audio taped transcripts, contact summary sheets, field notes, document analyses, observations, and photographs achieved triangulation. These multiple data established the study s validity. These interviewees revealed the main factor for the participants involvement with learning-styles and the ILSN s mission was that they believed this perspective was crucial in the fostering of learners positive academic and work performances. These subjects supported the construct, lauded the correct implementation of a learning-styles approach, and corroborated positive effects on teachers instructional goals and learners performances, which led to the self-efficacy of both pupils and educators. How the participants implemented--operationalized--the construct into the education setting varied. Successes and various obstacles also were reported to assist others who may implement learning-style strategies into their teaching repertoire. Data also revealed specific causes that led to these participants continued implementation of this construct, such as the St. John s Annual Leadership Certification Institute in New York. The interviewees revealed that this Institute was important because it brought together a cadre of individuals from different states and countries that supported and validated these educators undertakings. Thus, it allowed for networking and the building of professional relationships that led to a mutually constructive and enhancing organization. Findings extrapolated from these data led to the development of a model depicting the evolution and effect of the ILSN mission on teachers and students self-efficacy. This model may be replicated by all other education stakeholders who seek education reform.

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Identification of appropriate aspects of a 30 question RASI to be included in a Motivational Interview booklet

Tim Duffy, Elizabeth Boyle and Karen Dunleavy, University of Paisley

A wide range of assessment tools exist. These are frequently used to identify students learning styles and approaches to study. Most of these assessment tools have been evaluated in terms of their reliability and validity. Some studies also evaluate their ability to predict academic outcome. Student motivation is also discussed in the literature and some assessment tools attempt to assess this area. Motivation may be influenced by both external and internal factors. Therefore it may be possible to have an external influence on a student’s motivation to study. Motivational Interviewing is a technique used to nudge people towards change. It is applied with people with problems relating to alcohol, drugs, and tobacco use to influence such behaviours externally. This technique has been shown to be effective in changing a wide range of behaviours. Such a technique may also be useful in improving student’s approaches to learning. A series of pilot studies are currently in place to identify if the Learning Styles Questionnaire, Assist and RASI are effective measurement tools in relation to learning styles and approaches to study. Appropriate elements of some of the above measurement tools will be incorporated into a “Motivational Interview” approach. A Motivational Interviewing booklet will then be prepared and offered to students with a view to assisting them improve their approach to study. The impact of the Motivational Interview intervention will then be evaluated (with campus and distance learning students) to identify if it can assist students in improving their approach to learning. Following the pilot studies, appropriate elements of some of the above questionnaires will be incorporated where there are high reliability, validity and predictor values. To allow the Motivational Interviewing booklet to be brief, brevity of questionnaires will also be a factor in the selection process. This particular study focuses on the RASI questionnaire. This questionnaire was completed by 373 students in the Faculty of Health and Social Sciences at the University of Paisley. Results will be presented which indicate the reliability and validity of main scale and sub-scales. Their predictive value will also be considered. Based on this study, consideration will be given to incorporating both the Deep and the Strategic main scales from the RASI into the “Motivational Interview” booklet. (In an earlier paper reviewing the ASSIST, these scales also rated well, although are considerably longer). An outline of the implications for further research in this area will be provided.

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Exploring the relationship between cognitive style and teaching style

Carol Evans, University of Durham

To a greater extent the nature of the relationship between the cognitive style of a student teacher and their predominant teaching style in the classroom has been ignored by educational research. Using an opportunist sample of 84 student teachers (n: m = 23, f = 61) studying for a one year full time Post Graduate Certificate in Education in a range of subject specialist areas (Geography, Classics, Science, Physical Education, Modern Foreign Languages, Mathematics and Religious Education), based at a single English university. The age of the students ranged from 20 to 48 years. In order to determine their preferred cognitive styles, 55 of the student teachers completed a computerised version of Riding's 'Cognitive Styles Analysis' (1991). Consequently, on the basis of their more extreme cognitive styles, 25 of the students were selected to participate in semi-structured interviews. Of the subject specialist mentors assigned to each student, 77% (n = 59) completed a questionnaire on their perceptions of the teaching style of their PGCE student. Statistically significant differences in approaches to learning and teaching were identified. Using a two-way between-groups ANOVA, main effects for gender and cognitive style were found, with male wholist-imagers demonstrating the most wholist approach in the classroom and analytic-verbaliser females displaying the most analytic teaching style. Using Pearson product-moment correlation and t tests, verbalisers were identified as adopting a more analytic approach in the classroom compared to imagers and in terms of gender differences, females were observed to adopt a more analytic approach in the classroom compared to males. The qualitative analysis identified differences in approaches to teaching between the students with 'more extreme' cognitive styles. Wholists were more sensitive than analytic students to situational factors such as the culture of the school, support from the mentor and the ability to accept criticism. Further research is recommended to verify such findings amongst the student teachers presenting a continuum of cognitive styles. In this respect, a longitudinal study focusing on changes in cognitive style and approach in the classroom could be fruitful. Within the extreme cognitive styles group, the students' attitudes to teaching reflected their cognitive style. However, their teaching generally mirrored the way in which they were taught in school and at university. Consequently, universities need to adopt teaching and assessment tools that are increasingly varied in order to accommodate the continuum of cognitive styles.

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What Do Language Learners Want from CALL? Emotional Stimulus as a Key to Academic Achievement

Faina Furman, University of Haifa, Israel

Computer Assisted Language Learning (CALL) is an integral part of our Academic English Reading Comprehension courses at the University of Haifa. In addition to traditional frontal classroom instruction and whole-class visits to the CALL Center, many students come to the Center to work on our in-house produced courseware and on-line resources in their free time, at their own pace. The relevance of in-house produced courseware to the course material enhances motivation, while variety of activities and their flexibility attend to different learning styles and cultural backgrounds. Although learning styles are relatively stable and vary from individual to individual, there are many attributes which are common to all learners as human beings. The learner reacts to educational stimuli and his/her “emotional reactions… vary with situations and experiences” (Dunn & Dunn, 1999, p. 13) and, according to Miller (1991), affect cognitive development. It is now understood that a wide range of emotions plays a critical role in every computer-related goal-directed activity (Brave & Nass, 2003, p. 82). Our approach to CALL courseware design is based on the view that computer is not a tool or strictly a tutor, but rather an intellectual partner, a collaborator. As Reeves and Nass (1996) have shown, the computer is very much a social medium, and the more the computer program conforms to the norms of social behavior, the more effective and enjoyable the learning! Thus when our computer courseware “smiles” and “frowns”, “thinks” and “teases”, encourages curiosity or soothes in cases of frustration, it ignites students’ emotional reactions and becomes a peer in the knowledge quest. Indeed, students usually personalize the computer in their feedback on their work in the Center. This paper will discuss four elements of the emotional stimulus – motivation, persistence, responsibility, structure (Dunn & Dunn, 1999) – and their application to EFL courseware design. Courseware attributes appreciated by our students and considered conducive to successful learning will be illustrated by sample screenshots accompanied with student comments drawn from over 4,000 self-report slips, which students filled in when visiting our Center for self-access work during the past two academic years (fall 2000 – spring 2002). References: 1. Brave, S., & Nass, C. (2003). Emotion in human-computer interaction. In J.A. Jacko & A. Sears (Eds.) The human-computer interaction handbook: fundamentals, evolving technologies, and emerging applications. Mahwah, N.J.: Lawrence Erlbaum Associates. 2. Dunn, R., & Dunn, K. (1999) The Complete Guide to the Leaning Styles Inservice System. Boston: Allyn and Bacon. 3. Miller, A. (1991) Personality Types, Learning Styles and Educational Goals. Educational Psychology, 11 (3-4), 217-238. 4. Reeves, B., & Nass, C. The media equation: how people treat computers, televisions, and new media as real people and places. Stanford, Calif.: Center for the Study of Language and Information.

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A Comparative Analysis of the Learning Styles of Adolescents from Eight Nations by Age, Gender, and Academic Achievement Level

Heide Hlawaty, Georgia College & State University

This research examined the LS differences and similarities of approximately 4,300 adolescents from eight countries--Bermuda, Brazil, Brunei, Germany, Hungary, New Zealand, Russia, and Sweden. Participants for this investigation consisted of 13-, 15-, and 17-year-old students attending urban, suburban, and rural schools in eight countries located on five different continents. Students attended grades 7 through 13, depending on the local school system in their country of origin. Males and females were represented in approximately equivalent numbers. The appropriate language version of the Learning Style Inventory (LSI) (Dunn, Dunn, & Price, 1996-2001) for Grades 5-12 identified each student's learning styles (LS). Students LS were significantly differentiated among adolescents by age, gender, and academic achievement within each country and internationally. Means and standard deviations were calculated for the descriptive statistics. Inferential statistics were established by univariate analyses of variance (ANOVAs), t-tests, multivariate analyses of variance (MANOVAs) and Tamahane s T2 and Dunnett-C post-hoc tests. Discriminant analyses were conducted for the complete set of data. The level of statistical significance was set at an  < 0.05, although Bonferroni adjustments for inflation of the Type I error rate were made to an  < 0.002. Eta-squares (η2) were reported as effect sizes to determine the magnitude of the results regardless of sample size. Eighteen of the 22 elements were differentiated significantly among the complete eight-country sample by age. Gender differentiated by 7 of the 22 elements, and achievement differentiated by 12 of the 22 elements. Three significant two-way interactions were found for overall learning-style preferences with age-by-country, gender-by-country, and achievement-by-country, as well as one significant three-way interaction of age-by-gender-by-country. These findings corroborated previous research by Milgram, Dunn, and Price (1993), Honigsfeld (2001), Ingham, Ponce Meza, & Price (1998), and Pengiran-Jadid (1998). These findings suggest that only preparing lessons based on subject content, students grade levels, or teacher-selected instructional approaches is inappropriate and likely to be ineffective. Instead, teachers should develop lesson plans that respond to students learning styles as influenced by their gender, age, and achievement.

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Learning Styles in Teacher Education

Andrea Honigsfeld & Marjorie Schiering, Molloy College

The goal of this paper is to present the preliminary findings of a new research project on teacher candidates learning-style preferences and the implications thereof for their teaching styles. This research project is an outgrowth of various learning experiences provided by the researchers in their graduate education courses entitled Meeting the needs of culturally diverse students in the inclusive classroom, Interdisciplinary childhood and middle school teaching methods for diverse learners, and Integrated language arts and reading for the inclusive classroom of diverse learners. The researchers utilized two different learning-style assessment instruments based on the Dunn and Dunn Learning-Styles Model the Productivity Environmental Preference Survey (Dunn, Dunn, & Price, 1997) and the Building Excellence Survey (Dunn & Rundle, 2001)--one paper and pencil and one online learning-style assessment instrument to identify course participants learning styles. Within the same institution of higher education, the learning-style concept is introduced and operationalized in two different ways: In one course it is utilized as a catalyst to discover dimensions of cultural diversity and to explore diversity concepts including stereotyping and bias. It is also viewed as a tool to empower all learners: teachers and their students as well through differentiation of instruction. In two other courses, teacher candidates align their course assignments with New York State, National and Inclusion Classroom learning standards for knowledge, skills and dispositions that provide interdisciplinary instructional strategies that are interactive and address varied cognitive and learning styles. Following professor modeling, the candidates practice learning-style-responsive methods respective of processing style and learning style preferences, as well as how to identify these in future/present students. Using a combination of quantitative and qualitative approaches, teacher candidates individual and group learning-style profiles and their reflections on their own learning and teaching styles will also be discussed.

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Learning to an Entrepreneur in China

Pam Jackson, Queensland University of Technology

Learning to be an entrepreneur has been a topic of research and debate for decades. Learning to become an entrepreneur in China has become part of this since the emergence of private enterprise. The business owners in China are asked to make business decisions in a transitional economy with very diverse knowledge of the information they receive. How do they learn to become entrepreneurs? This paper will firstly explore the literature of learning for business owners and mangers in China. Secondly the paper will isolate some of the gaps in the literature where business owners and managers are learning to make decisions. The discussion will then aim to explore the various models of learning available to this market, given the political and social environment in which they operate. A model of learning for entrepreneurs in this country will be presented and finally recommendations are provided where further research will empirically test the model.

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Developing a Learning Community as part of the Teaching Training Process

Sara Cleeman, Oranim Academic College of Teacher Education, Israel

The term “learning community” has appeared recently within contexts such as distance learning, teamwork and problem-solving processes, etc. An attempt to develop a community of teachers and student teachers will be described here that will investigate and deal with the problems involved in implementing collaborative learning in schools and kindergartens. Pre- and in-service teachers participated in this research within the framework of their studies for a B.Ed. degree in Oranim School of Education. A course on collaborative learning strategies was provided, involveing the study of different types of learning. The objectives of the course were: a. To structure collaborative learning principles. b. To develop a learning process based on these principles. c. To locate interesting issues arising during the process and structure ways of coping. d. To develop an active learning community of students aware of group processes. The course helped develop learning communities and ensure continuity in their work. Summary The process of developing a learning community of teachers involved several stages: A. Introduction Getting acquainted with the participants, being exposed to the subject and becoming familiar with the key concepts through group activity, while implementing collaborative learning techniques. The principles and key concepts were elucidated by analysing and reflecting on the activity, confronting existing knowledge with new knowledge, and observing different locations outside Oranim. The objective of this stage is to create a basis for joint knowledge and uniform terminology to facilitate collaborative dialog in the future. B. Experiencing Collaborative Activity, Creating Contexts and Defining Problems While gaining experience, questions were asked such as: What are the conditions for developing collaboration? What are the characteristics of a group product, the evaluation of a group product, personal contributions, etc.? During this stage, the participants worked within the formal classroom and lessons framework. C. Organisation in Learning Communities From their activities and previous experience both as teachers and students, the participants formulated study problems and questions. The instructor taught various tools to report on the group’s progress, which helped in their reflection about their work, in thinking and in future planning. D. Experience Using Research Tools The course participants were pre- and in-service teachers who, during their training and professional development, dealt more with practice than with research. In preparing for the learning community study, they practiced formulating open, challenging, rich, authentic and relevant study questions based on the availability of learning sources, gained experience in raising assumptions and preliminary hypotheses, locating information sources, choosing research and learning tools, defining short- and long-term tasks, and dividing tasks among the group members. They also practiced using research tools – observations, interviews and questionnaires. E. Organising and Unifying Information The personal contributions of the research groups were examined, and generalisations and new insights were made. F. Presentation of the Study and its Findings The study groups discussed the questions of “what” and “how” to present the study findings and the process. Outcomes A great deal may be learned from the interesting dynamics that took place in the study on learning communities: members who left the group, new members, power struggles, enthusiasm among some/anguish among others, leading as opposed to following, etc. Within the structured, and to a great extent obligatory, course framework, freedom was given to the communities to act according to the group planning. In parallel to learning about the problem lying at the crux of the study, the participants received guidelines and tools reflectively testing the group and individual processes that took place in their community. The emotional involvement made it difficult for many to examine what was going in the eyes of the objective researcher. Those who succeeded in doing so and in transferring their experience to their classes enriched their understanding, and their learning was more significant. The outcomes were presented by visual presentations, dramatised segments, video clips, a questionnaire for the audience, a lecture accompanied by slides and a “homiletic picture” for identifying collaborative situations.

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Using a learning styles approach to improve learning, achievement and retention in further education

Cynthia Klein, South Bank University

The paper presents the findings of a two year pilot project using the Dunn & Dunn model and learning style profiles as a basis for implementing a learning styles approach to teaching and learning. The aim was to study the effectiveness of adapting the learning environment and teaching and learning strategies to address significant learning style elements in individuals and groups. We wanted to find out whether such an approach would improve learning, achievement, retention and student participation, with particular reference to low achievers. We trained course tutors in using the Dunn & Dunn model and learning style instrument (Productivity Environmental Preference Survey [PEPS]). They then gave the PEPS to their students. We supported the teachers in identifying and implementing teaching and other strategies based on their students individual and group learning style profiles. The paper discusses both quantitative and qualitative findings; these are based on the PEPS profiles, student and teacher questionnaires, a basic skills task and college attendance, achievement and retention data along with classroom observations and interviews with students and teachers. The project took place in three Inner London further education colleges, with two Inner London colleges as comparison colleges , to provide similar contexts where a variety of teaching and learning approaches might be used, but not systematically embedding a learning styles approach based on the Dunn & Dunn model. We worked with two GNVQ Intermediate courses: Health and Social Care and Business. Across the three colleges, nine groups of students participated in the initial year of the project: in the second year, this was reduced to seven groups, three business and four health and social care. Two groups, one in Health and Social Care and one in Business, were specifically for ESOL students. Our findings suggest that adopting a learning styles approach using the Dunn & Dunn model and instrument (PEPS) can help improve teaching and learning and can contribute to better achievement, as well as improving student enjoyment and confidence. They also point the way to future research. A qualitative analysis of data from observations and interviews with individual teachers and students showed a positive impact on both behaviour and learning. Though findings from such a small number are tentative, it appears that when teachers respond to students individual learning style, it improves enjoyment, attention and active participation, and learning for individual students. For teachers, use of the Dunn & Dunn model supported reflective practice, provided insights which improved classroom management and enhanced teachers relationships with students. The paper raises some of the questions which came out of the research and discusses the implications for post-16 education. We will also present examples of effective interventions, changes in practice and materials developed in response to individuals and group learning styles profiles

 

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Individual Differences in Learning Achievements: The Relations between Cognitive Style and Memory Capacity

Heling Huai, University Duisburg-Essen & Piet Kommers, University of Twente

This study explores the differences in learning achievements respect to knowledge dimensions among individuals with different cognitive styles. It further investigated the relations between cognitive style and memory capacity. The cognitive dimension used in the present study is Pask's serialist versus holist dimension. The learning achievement is measured by the examination score. The current study found that there are differences in learning results among different cognitive style students with respect to language and mathematics dimension. Concerning memory effects, individual differences exist as well.

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An international and cross-cultural study of learning style preferences of entrants to hospitality and tourism management programmes

Conrad Lashley, Nottingham Trent Business School & Paul Barron, University of Queensland

This proposal involves research on the preferred learning style of new entrants to degree programmes in the United Kingdom and in Australia. The research provides insights into the similarities and differences in learning style preferences of first year students on hospitality management programme using an adapted version of the Learning Styles Questionnaire (Honey and Mumford, 1986). For all its flaws and lack of conceptual rigour, the LSQ has been found to be a useful instrument for developing both students on management programmes and practising managers on workplace development schemes. At a fundamental level both authors working on two continents have found that the LSQ provides a valuable aid to discussion and critical evaluation of personal approaches to learning. Earlier work published by one of the authors suggest that LSQ has a role to play in developing more rounded approaches to learning consistent with reflective practice amongst students who are primarily 'Activist' learners. The paper brings together insights from new entrants onto these programmes from the UK and Australia. In the latter case, findings suggest that there are some interesting differences between those from occidental Australia backgrounds and those with oriental origins from a number of Far East countries studying in Australia on hospitality management courses.

 

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Cultural diversity & the exhibition of organisational citizenship behaviours

Waheeda Lillevik, McMaster University

Finding and nurturing talent in organizations has proved to be a difficult and unique task for many firms. Because of the interactional and accountable nature of many emerging jobs, especially managerial positions, organizations are creating and using competency models which outline specific behaviours that are considered to contribute to and enhance job effectiveness. With the decline of the manufacturing sector and the shift toward a knowledge economy, many organizations have used competency modeling as a way to assess many jobs at various levels and with various responsibilities. Competencies are often used for selection, development and performance assessment in organizations. Since task performance often does not adequately measure the performance of managers, some of the behaviours outlined in competency models can be linked to what has been identified as organizational citizenship behaviours (OCB). However, although the exhibition of OCB?s has been found to improve job performance, organizations may not be taking into account individual differences in the type and frequency of OCB?s displayed with respect to culture. With the globalization of the world economy and the increasing mobility of people around the world, a diverse workforce is becoming a non-avoidable issue; this is particularly important in Canada, where multiculturalism is embraced and government policies are enforced in order to ensure that the Canadian workforce is representative of its population in terms of race, ethnicity and sex. In this paper, I propose that individuals from some cultural backgrounds may inhibit their exhibition of OCB?s, and thus the use of competencies in selection, assessment and training and development methods where they are not deemed as essential behaviours to the job may facilitate discriminatory practices. I also include a model that shows the proposed relationship between cultural differences and OCB?s, and the mediating factors that may affect that relationship.

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Workforce Diversity and Innovation: A Working Model for Today?s Business Environment

Waheeda Lillevik, McMaster University

The constantly increasing global and national diversity within the workforce can provide a rich forum for new and different perspectives that can contribute to how corporations compete successfully within their business environments. Current Canadian demographic statistics indicate that a significant portion of the population does not have British, French, or Canadian origins; thus workforce diversity is a reality in many organizations today. This mix of multicultural citizens is not unique to Canada alone; many other industrialized nations face diverse populations. To compete at both local and global levels, simply ensuring that people from many different cultures are represented in the workforce is a good start, but it is not enough; the differing views, attitudes, beliefs, experiences and perceptions of people from diverse backgrounds must be encouraged and channeled to produce new and innovative ideas in the ever-changing knowledge economy. Through this discussion it is evident that the goals of workforce diversity and nurturing an innovation culture are congruent with one another. An environment of learning and tolerance must be balanced with a need for focus and productivity in order to foster innovation and gain competitive advantage in the marketplace. This environment can be found in organizations where workforce diversity is valued and embraced. To truly benefit from the diversity of our workforce and to realize these gains in creativity and innovation, however, we must go beyond simple numerical representation; we need to promote a learning culture and emphasize ?inclusiveness? within our organizations. This paper discusses the challenges and opportunities that workforce diversity offers toward the stimulation of creativity and innovation in the new business environment. Guidelines for facilitating an environment that embraces multiple cultures and encourages diverse thinking are provided, future issues with regard to workforce composition are outlined, and a model of diversity and innovation is outlined.

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Critical Thinking-creative thinking-multiple intelligence:A cycle in the learning process

Georgia Mega, University of Crete

The present article argues about how the child s critical thinking, creative thinking and multiple intelligence may affect the learning process. In the introduction of the article, reference is made to the prevailing definitions both of creative and critical thinking, Robert Ennis (1986), Mifflin (1994), so as to determine their characteristics and point out any differences. Reference is made to the 7 types of intelligence (Linguistic, Logical-mathematical, Two personal, Spatial, Musical, bodily - kinesthetic) as mentioned in H. Gardner s (1993) theory of multiple intelligence. Then an attempt is made to link these three characteristics of thinking (creative critical multiple) in the context of the educational act. Therefore, the main part of the article presents a model teaching method implemented in a primary school in Athens (College of Athens, Primary Department) during April 2003, among twenty-five ten-year old children. The aim of the article is to make the reader understand how these three forms of thinking are combined when the child is facing a problem seeking solution. The model teaching method was used in the context of Environmental Study subject. The theme was to construct a bridge using only a packet of newspapers. The children approached the theme collectively. They even split in seven groups depending on their performance in specific learning fields, so as to highlight the type of intelligence to which they mostly belonged (Literature, Mathematics, Social life Inter-personal, Intra-personal relations, Music, Painting, Dance). The model teaching includes: - the goals and the objectives of the teaching procedure, - the introductory activities, and - the design implementation activities. - the assessment of the implementation activities. The procedure of assessment, is one of the most important parts of this article. It includes the description of the strategy used by each group in order to achieve the goal (i.e. the construction of the bridge), and the differences observed among the seven final products (bridges) created by each group. The study of my observations on the working groups in connection with the final product of their work, brought to the surface some interesting conclusions. In the third part of this article the conclusions are commented upon in detail. These comments point to a possible connection between critical thinking and multiple intelligence and between creative thinking and multiple intelligence.

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Cognitive style, dyslexia and mode of instruction in higher education.

Tilly Mortimer, University of Cardiff

Contents: This research project examines the relationship between dyslexia and learning style in male university students and investigates the extent to which different ways of presenting information might affect the levels of success experienced at a typical university lecture task. Its focus is to determine the impact dyslexia, cognitive style and mode of presentation might have upon success levels and, through the use of questionnaire and interviews, their effect upon the quality, positive or negative, of the student's learning experiences at university. Research Questions The study posed the following questions: 1. Is dyslexia associated with a predominant cognitive style? 2. Is variation in cognitive style associated with differences in the ability to assimilate information from the lecture form of presentation? Is the pattern equivalent for students with and without dyslexia? 3. What is the relationship between the way in which information is presented and the successful comprehension and retention of that information? How does cognitive style and dyslexia impact upon this relationship? 4. What are the implications of the findings for teaching and support practices in higher education? Methodology Sixty dyslexic and sixty non-dyslexic male students were recruited from fourteen HE institutions. They were selected from a wide range of disciplines and care was taken to match the spread of ages and subjects across the dyslexic and non-dyslexic groups. Cognitive style was measured by the Cognitive Styles Analysis (Riding, 1991); the students watched a short videoed lecture presented with or without graphic reinforcers; students filled out and discussed a questionnaire as to learning experiences and preferences and completed a task booklet testing their recall of the lecture information. Students discussed the implications of the result of the Cognitive Style Analysis for their approaches to study at University. Results and Discussion Results of the students' performances on the test and the questionnaire responses are presented. The implications of the results for teaching and support procedures are discussed.

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A Level subject choice as a predictor of cognitive style

Andrew Roberts, University of Cardiff

In his book, Contrary Imaginations, Liam Hudson, suggested that a measure of cognitive style could be inferred from a student s performance on standard intelligence tests. Rather than focusing upon the attainment levels of the tests, Hudson looked at the student s relative performance on test items that required open ended responses compared to those that required a single, correct response. He proposed that this bias of IQ would indicate whether a student could be classified as having a divergent or convergent cognitive style. Furthermore, Hudson discovered a strong relationship between his measure of cognitive style and subject choice during later learning with divergent students tending to study arts based subjects and convergent subjects tending to follow scientific careers. Given this background it may be possible to hypothesise that a student s choice of subjects of study may form an indicator of their cognitive style. Using a student s GCE Advanced Level results, it is possible to derive a figure that indicates the extent of an individual s bias between the arts and science which can be compared with other measures of cognitive style and also with indicators of student performance at degree level. Recent reports in the UK media have suggested that raw A-level scores may be insufficient indicators of a student s future performance and that university admissions tutors need to consider other factors when making decisions to offer students places at their institutions. These factors could include measures of cognitive style but there are merits in being able to judge this without the need for students to sit specialist tests. This paper describes some preliminary research based upon the examination results of three cohorts of Architecture Students. In higher education, Architecture Students are rarely required to have previously studied any specific A level subject and therefore the cohorts were likely to contain students from a full range of subject backgrounds. The paper outlines how a measure of Arts and Science bias was derived and compares the results with students overall performance in their degree studies and also with students cognitive style as measured by Richard Riding s Cognitive Styles analysis. The results suggest that neither the overall A-level scores, nor the arts-science bias provide good indicators of a student s likely design performance. Furthermore, it appears that there is little relationship between subject choice and performance at A-level and cognitive style.

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Developing Teacher Sensitivity to Student Learning Styles

Melodie Rosenfeld, Achva College of Education, Israel

It is widely agreed that teachers need to understand and address student learning-differences (Sternberg & Zhang, 2001). This study focuses on two related issues, which are far from being well-understood: (1) how to design a process for developing such teacher sensitivity to learning-differences and (2) how to identify when teachers, who have undergone this process, have gained this sensitivity. Regarding the first issue, what guiding principle should be used to design a process for developing teacher sensitivity to learning-differences? Regarding the second issue, how can we know when teachers, who have undergone this process, have indeed undergone real change? Furthermore, what model of teacher change might inform future staff development in this area? Methodology The first researcher designed and taught a year-long college course for pre- and in-service teachers on the topic of learning differences. The guiding principle was for teachers to investigate their own unique learning patterns within a group context, based on a series of five learning-style inventories. Questionnaires and individual interview data were collected from the 14 participating teachers. In addition, the teachers submitted a total of 62 personal incidents documenting the development of their sensitivity to themselves and to other learners. These incidents were analyzed and they formed the basis for a model which describes how the teachers developed sensitivity to learning differences. Outcomes The participating teachers underwent a common change process. Their investigations of themselves as unique learners in a peer context led them to reframe their own present and past learning experiences. As a result, they were able to document how they saw themselves and other learners differently. They used terms and concepts for repetitive patterns of learning (learning and cognitive styles) which they had experienced as learners, and they identified these patterns in others. When they understood and legitimized their own learning differences, they also understood and legitimized the learning differences of others, including pupils, colleagues, and family members. The teachers’ deep personal understandings led to changes in their attitudes and behavior toward themselves and others. In many instances, the teachers reported that their newly-developed sensitivity to learner differences led to positive changes in their pupils’attitudes and behavior. Theoretical and Educational Significance It has been acknowledged that in order to grow professionally, teachers need to understand themselves (Kagan 1992) and "teacher learning ought not be bound and delivered but rather activated" (Wilson & Berne, 1999, p. 194). The learning-styles course supported the teachers in actively becoming sensitive to their own unique and legitimate learning needs in relation to their colleagues. As a result, the teachers transferred their knowledge and became more sensitive to other learners' learning differences. Thus, sensitizing teachers to their own learning differences can be an important first step in sensitizing them to the learning differences of other learners. Bibliography: Kagan, D. (1992). Professional growth among preservice and beginning teachers. Review of Educational Research, vol. 62 (2) 129-169. Sternberg, R. & Zhang, L.(2001). Perspectives on thinking, learning and cognitive styles. New Jersey: Lawrence Erlbaum Associates. Wilson, S., & Berne, J. (1999). Teacher learning and the acquisition of professional kowledge: an examination of research on contemporary professional development. Chapter 6, pp.173 -210 (in Iran-Nejad, A. & Pearson, P.D. eds., Review of Research in Education. Wash. D.C.: AERA.

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Interactive Instructional Resources ProvidingTransformational Cognitive And Metacognitive Developmet Across An Indiscriminate Time Continum For Social Literacy And Academic Achievement

Marjorie Schiering, Molloy College, New York

This presentation addresses the implications and practical applications of utilizing varied interactive instructional resources for the purpose of enhanced academic achievement, cognitive and meta-cognitive development, as well as social literacy applications across an interdisciplinary and indiscriminate time continuum. The basic premise of students ability to engage in transformational thought processes with respect to their existing level of consciousness is examined for emergence from basic cognitive awareness to critical and creative thinking and then, self-actualization. This conceptualization is explored through utilization of interactive learning stimuli that address learning-style preferences of individuals. Differentiation of instruction is emphasized with the comprehension of student-learner differences in learning style applications for practical teaching/learning strategies. Charts and tables are provided from an initial study, along with charts depicting the construction of linkages between sequential developmental and simultaneous thought processes that connect one's experiential past to sensory-motor applications in the phenomenological sense. Social reality and societal reality are examined with respect to initial belief systems and the differences between thoughts, ideas, opinions, judgments and feelings for expressive communication techniques within the classroom setting. Additionally, concentrates of the theory denoting initial belief systems with respect to the sociology of the world (S.O.W.) and its equanimity to religion, education, academics and politics (R.E.A.P.) (Schiering, 2001) will be discussed as the author postulates that the instructional methods operationalize and facilitate the student-learners' cognitive process, by providing alternative means to lecture and singular modeling of curriculum content. This will be presented for participants in conjunction with a hands-on/how-to-construct application of one tactile/kinesthetic learning resource.

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Learning style, academic performance, and attributions and emotions for academic performance

Georgia Stephanou, Technological Educational Institution of Thessaloniki

This study, considering the importance attached to good performance, aimed to investigate: (a) High school pupils attributions and emotions for their perceived successful and unsuccessful school year performance in Greek Literature, (b) the role of both attributions and intuitive appraisal (perceived performance) on emotions for the perceived performance, (c) the effects of students learning style on the formation of both school year performance in Greek Literature and attributions for the same performance. All of the pupils (n = 240, age 16 -17 years), at the beginning of the second school term, completed the learning style scale, whereas, at the end of the school year, they completed the scales of intuitive appraisal, attributions and emotions for their school year performance in Greek Literature. The results showed that: (a) Success was attributed to internal, personal controllable, stable and external uncontrollable attributions, while failure was attributed to external, personal uncontrollable, unstable and external controllable causes, (b) the pupils experienced positive affects for success, and negative affects for failure, (c) attribution -dependent affects were predominantly influenced by attributions, whereas outcome- dependent affects were mainly predicted by intuitive appraisal, and (d) learning style (in particular, deep approach) was associated with both attributions and, mainly, academic performance. The findings are discussed in terms of practical implications in academic settings. Keywords: Attributions, Emotions, Learning style.

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The influence of learning styles on the acquisition of tacit knowledge in three content areas of public sector management

Anis Mahmud, Steve Armstrong & Z. Zhu, University of Hull

Despite the huge investments made by organizations to equip their managers with the necessary knowledge and skills to be efficient and successful, it is often seen as more of an act of faith because the actual results are not easy to measure. There is a body of literature which suggests that most of what managers actually learn is on the job and they do it through their own experience. Examples include the theory of situated learning (Lave & Wenger, 1991), which emphasises the interaction between individual learning, practice and every-day work tasks, and the theory of communities of practice (Brown & Duguid, 1992; Wenger, 1999) which stresses the term community and social relationships around the learner. Drawing on Polanyi s (1966) distinction between explicit and tacit knowledge, the latter is often regarded as being the most valuable for a successful managerial career (Wenger, McDermott & Snyder, 2002). Literature also reveals that the content and level of tacit knowledge differs between the typical and the more successful managers. It follows, therefore, that if tacit knowledge is acquired by learning from experience, then management development providers need to reassess their role from being a provider of skills and theory to being a facilitator in the acquisition of relevant tacit knowledge. In order to enhance our understanding of the processes involved, this study explores the possibility that learning styles may play a significant role in determining the level of managerial tacit knowledge acquired, as managers interact with their local work environments. The broad thesis of the study is that: The level of tacit knowledge acquired by public sector managers is influenced by both their individual learning styles, and the degree to which their dominant preferred learning styles are matched with the context of their work environment. A mixed-method methodology is adopted in order to investigate the relationship between learning styles and the level of tacit knowledge acquired by managers in three content areas of the public sector. For the quantitative element of the study, Stenberg s Tacit Knowledge Inventory for Managers (TKIM) and Kolb s learning styles inventory are used. The study is expected to make two contributions. Firstly, to enhance our understanding of the significance of learning styles to the development of managers, and secondly, to inform management trainers of ways in which they need to shift their role from knowledge providers to facilitators of management learning.

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Thinking styles and social problem solving

Elizabeth Boyle, John MacDonald, Joy Aked, David Main & Karen Dunleavy, University of Paisely

Research on styles is at the interface between research on personality and research on intelligence. Consequently styles research has been very diverse and has addressed many different aspects of individual preferences in how people deploy their abilities. In trying to provide a more comprehensive theory of thinking styles, Sternberg (1997) proposed his theory of mental self-governance, which identified differences along five dimensions in the way that people think about issues in the real world and manage their everyday activities. Sternberg developed a questionnaire to measure these differences. While there is some evidence concerning the validity and reliability of Sternberg’s questionnaire and differential links to different outcomes, there has been less research examining links with other similar questionnaires. While not explicitly addressing styles, another questionnaire which addresses motivational and strategy differences in how people approach real-world problems is Zurilla’s Social Problem Solving Inventory (SPSI). The aim of the current study was to compare Sternberg’s thinking styles inventory and Zurilla’s self-report measure of social problem solving. Both of these questionnaires claim to predict differences in attitudes to and strategies used in tackling problems in the real world, which may lead to different adaptive outcomes. The sample consisted of 118 Social Science undergraduates who completed both the Sternberg-Wagner Thinking Styles Inventory (TSI) and Zurilla’s Social Problem Solving Inventory (SPSI). Preliminary analysis indicated weak correlations between both the judicial and executive functions of Sternberg’s TSI and the rational problem solving scale of the SPSI, which assesses strategies used in problem solving. In addition, both the local and liberal scales of the TSI were positively linked to positive problem orientation, a motivational scale of the SPSI. Sternberg’s liberal scale was also linked to two strategy subscales of the SPSI, generating alternative solutions and solution implementation and verification. These results suggest that there are some parallels between the two questionnaires in the way that they examine motivations and strategies used in tackling real world problems.

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The Value and Use of Learning Styles in Developing Learning

John Clark, Gary Pheiffer, David Andrew, Debbie Hollie & Miriam Green, London Metrpolitan University

This paper presents the both experiences via a case study and empirical data in the use of learning styles. Learning Styles are widely used in UK education and especially management education. However, the question of reliability and validity still is an issue for those working in the field as the 2002 ELSIN conference noted with it theme of reliability and validity. This paper firstly examines the psychometric features of two learning styles, the Kolb LSI and the Rundle and Dunn Building Excellence model, using reliability analyses and factor analysis. This builds on previous preliminary workby the authors. The paper examines the reliability and validity of the two instruments, and the focus is then on a critical examination of the use of these instruments in dveloping learning. This develops issues around their continued use in education and specifically management education. This section also examines the issues of Learning styles, Learning Strategies, Perceptions of Course Quality and individual variables such as Self-efficacy, Locus of control, identity and student engagement behaviour in relation to the issue of style. The aim is to understand student learning and retention, to develop strategies to deal with this issue, specifically in post 1992 universities and how issues around style may or may not help in this process. The paper does not deal only with the psychometric issues but presents a case study in the use of learning styles in developing their use through issues of engagement and identity.

 

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A Systematic Review of Learning Styles and Pedagogy

F. Coffield, D. Mosely, K. Ecclestone, E. Hall, Newcastle University

This paper presents findings from a systematic review, funded by the Learning and Skills Development Agency and carried out by a team from Newcastle University. Searches identified 69 models of learning styles (LS) which we grouped into six families and placed on a continuum from LS as modifiable to fixed characteristics of learners. We chose 12 models and their instruments to evaluate; our criteria for selection were theoretical importance, widespread use and influence. The six families and their representative model(s) are listed below: 1. LS are largely constitutionally based Gregorc 2. LS reflect cognitive structure Riding 3. LS are part of a stable personality type Myers-Briggs Jackson Apter 4. LS are stable learning preferences Kolb Honey & Mumford Allinson & Hayes 5. Learning approaches and strategies are the basis for understanding learning Entwistle Vermunt Sternberg 6. LS consist of learning and environmental Dunn & Dunn preferences We used the same evaluative criteria to review the 12 models: reliability, validity, implications for pedagogy and empirical evidence of impact on pedagogy. We found serious psychometric weaknesses in many of these models. Only three of the 12 those of Entwistle, Vermunt and Jackson met our criteria. In our judgement, the other nine should not be used to justify changing practice. Research into learning styles is characterised as small-scale, non-cumulative, uncritical and inward-looking. There s been a proliferation of concepts resulting in a large number of dichotomies, symptomatic of conceptual confusion and of a serious failure of accumulated theoretical coherence. Although learning style theorists warn of the dangers of labelling, we found examples of theorists, practitioners and students referring to globals and analytics and to low auditory, kinaesthetic learners . The instruments present not only an individualised and decontextualised view of learners, but also a depoliticised treatment of those differences among learners which stem from social class and race. There is a lack of research in the UK into learning styles and social class. There is widespread disagreement about the advice to be offered to teachers and a dearth of rigorously controlled experiments on the claims of the main advocates. We end with positive recommendations concerning the most psychometrically sound models, which could be used to encourage self-development: by diagnosing how people learn and showing them how to enhance their learning. They could also provide learners with a language with which to discuss learning preferences, how people learn, how they plan and monitor it and how teachers can facilitate it. At present there are a variety of competing vocabularies: we recommend one, particular vocabulary. A dialogue could also act as a springboard for broader change within organisations. Responding more appropriately to learning styles may provoke a re-assessment of the goals of education. The case for learning styles also has to compete with arguments from the meta-analyses of Marzano (1998) and Hattie (1992) in favour of other innovations eg formative assessment and metacognition.

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The Relationship between Learner Variables and the Choice of Vocabulary Leraning Strategies

Shaindokht Goodarzi, Iran University of Science and Technology

For a long time language teaching was only concerned about teaching methods and less attention was paid to the role of learner in learning a foreign language. However, with the increased focus of second language acquisition research on individual differences in language learning and on learner-centered language education, language learning strategies have been considered as an interesting topic warranting much research. At the same time, vocabulary, once being neglected as an aspect of language learning, has been much studied following the advent of communicative approaches to teaching. Thus, the present study investigates the following questions: a) is there any significance relationship between vocabulary learning strategies and the level of language proficiency of the Iranian EFL students? b) Is there any relationship between the choice of vocabulary learning strategies and learner variables such as age, occupation, years of studying English, and beliefs about vocabulary learning? The participants in the this research are 100 Iranian EFL students studying at a language institute.

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Informing design of learning situations through pedagogic research

Hilaire Graham & Caroline Abbey, University of Plymouth

This paper considers the impact of a research project that introduced students to learning as an activity that they would engage in at university and the concept of learning styles as a way of considering how they learn. In particular, the use of learning styles and student learning as a way of informing design of learning situations is examined. Addressed problem The research project on learning styles arose because of separate uses of learning style questionnaires in three schools in the Faculty of Technology at the University of Plymouth during 2001-2002. It was felt that a common approach to the use of learning styles for Stage 1 students would be appropriate and the research project endeavoured to develop this common approach. The aim of the project was to increase students awareness of learning as a skill that could be supported and developed. An expected outcome of the project was to increase teachers awareness of their own learning style and to consider the impact on their teaching. The project required an approach that considered the various subject/discipline requirements of learning situations and activities in the Faculty of Technology. The project was supported by a Teaching and Learning Development Grant from the University of Plymouth Education Development Unit. Applied approach In the research project, the current use of learning styles testing was reviewed, the range of learning styles tests evaluated, the delivery mode considered, and a podule introducing learning styles developed for use by academic staff with students. The project was evaluated by staff and students in questionnaires (Staff/students), a focus group (students) and a structured interview (staff) Results The presented results focus on the implementation of the podule (staff feedback) and its usefulness (student feedback). The student response to concept of learning styles suggested that they found knowledge of learning styles to be useful as they were able to consider how they approached the range of learning situations. Students were able to comment on the implementation of the podule and the learning styles session. The focus group indicated that students were keen to consider how their learning had developed over the year. The impact of learning styles awareness on teaching practice is considered in a case study (structured interview) that uses the outcome of the research project to inform teaching practice. The impact of learning styles awareness on teaching practice is considered in a case study that uses the outcome of the research project to Subsequent use Following evaluation of the project a number of modifications are planned for re-use of the podule in 2003-2004. Of particular interest is the need to consider the development of teaching in students learning situations.

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Young children --- Learning with Technologies

Christina Han, Hong Kong Institute of Education

Playing is the major part of young children’s life. Playing with electronic toys and computer technologies is getting very common in children’s daily life. Many of child care centers and kindergartens are using more computer technologies as one of the learning and teaching tools. What kinds of computer technologies that kindergartens adopt for children’s uses? How do young children use technologies for their learning? What strategies that kindergarten teachers apply when use technologies with young children? All of the above questions will be revealed in this study. This study has been done in the Early Childhood Learning Centre in Hong Kong Institute of Education. Observation has been done with a group of 4-5 years old children when they are playing with computer during creative activity time. Total number of the group is 20 young children. Videotape has been used to record children’s strategies in using computer as a learning tool. Analysis will be done according to children’s language skills, social skills, thinking skills and problem solving skills. In addition, there are suggestions regarding young children learning with technologies for early childhood organizations, early childhood educators and computer technologies developers.

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Cognitive style, organisational culture, organisational learning and restructuring for a market economy: New evidence from Polish industry

Jeanne Hill, University of Central Lancashire & Agnieszka Sitko-Lutek, Marie Curie-Sklodowska University, Poland

As ELSIN members well know, research on learning and cognitive styles covers a tremendous range of views, approaches and models for observing and making sense of consistent differences in individual thinking and cognitive processing. A great deal of this research focuses on style and learning in the classroom. Much less research addresses the issue of style in management, despite the fact that the ability of managers to process and respond to ever-increasing amounts of information is a key competence for managers in the 21st century (Hodgkinson & Sadler-Smith, 2002). Further, there is very little literature addressing the fit between occupational choice and style, organisational culture and style, or organisational learning and style. In this paper we report on new evidence from a study of over 750 managers in a variety of Polish firms across 7 industries. Managers were tested for their cognitive style (as measured by Allinson & Hayes’1993 Cognitive Style Index), completed a comprehensive questionnaire about the management and culture of their organisations, and also provided information about their training and development experience and preferences. The findings show significant differences in managers' cognitive style between industry groups. The most extreme differences appear between industries that have not yet undergone restructuring from the old ‘Soviet’ model and those in the new, more dynamic and technologically advanced sectors. We also examine evidence of differences in organisational culture between industries as related to cognitive style.

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Designing an On-line Learning & Creativity Profile Generator: A Fusion of Learning Styles, Creativity Diagnostics and LMS

Karl Jeffries & Glen Hardaker, University of Huddersfield

The need to embrace innovation and creativity is paramount for future prosperity and sustaining competitiveness; this has been identified by numerous sources including: the Design Council (2002), DEMOS (Seltzer & Bentley, 1999) the Qualifications and Curriculum Authority (Hargreaves, 2001; Boston, 2002), Confederation of British Industry (2002) and Institute of Directors (2002). From such a basis the question of how to train, foster or teach creativity comes to the fore. The current paper presents a case for the introduction of a specific software design approach that focuses on the interface between learning and creativity through the application of online adaptive learning content in the context of design education. Specifically, the focus is on the development of a software application, ‘The Learning and Creativity Profile Generator (LCPG)’, that has been designed to operate both as a stand-alone piece of software and in conjunction with adaptive learning management systems (LMS). The paper in particular considers the role of on-line learning and creativity diagnostics in supporting design education and the relationship with the context of learning through intelligent tutoring software applications (LMS, SCORM 1.2). The software design approach is based on generating both a learning and creativity profile for each learner that will be used in LMS solutions and/or by a mentor such as a tutor or trainer. The specific aims of the profile generator are directed at gaining a broader understanding of the user on a number of levels concerning their ability to learn and be creative:  The learner’s general interests, attitudes and desires  The pre-attitudes the learner has to formal learning  The individual’s learning preferences and the implications for teaching i.e. visual, auditory or kinaesthetic.  The individual’s cognitive learning style defined as ‘physically centred’, ‘emotionally centred’ and ‘mentally centred’.  The learner’s potential for creativity in the subject area that is understood by exploring the learner’s creative thinking skills, motivation and subject specific expertise. (Amabile, 1983, 1999) Furthermore, Sternberg (1997: 158) has argued:‘Styles matter. Moreover, they are often confused with abilities, so that students or others are thought to be incompetent not because they are lacking in abilities, but because their styles of thinking do not match those of the people doing the assessment. Especially in teaching, we need to take into account students’ styles of thinking if we hope to reach them’, a point reiterated by others involved in learning styles research (Dunn, 2000). Whether on matches or raises student awareness (Sadler-Smith, 2001; Riding & Rayner, 1998), clearly there may be pedagogic benefits to integrating learning styles with traditional creativity training. This paper explores how one UK University has interpreted this aim within the field of design education. In addition, we also discuss the development of creativity diagnostic tools as a means to engaging students and how such diagnostic tool may offer a framework for the exploration of individualised learning paths.

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Management Learning: a comparison between managers' perceptions of study progress and of career progress.

Bryan Jones, Dearne Valley Business School

Reports the design and findings of a pilot methodology into evaluating management learning on an MBA in Yorkshire. Identifies, from a sample of 25 questionnaires and 10 interviews, the significance of certain learning barriers and learning exemplars. A questionnaire tests two predictors, namely respondents’ self-perception of their abilities in study progression and in career progression. These are assessed against espoused learning attributes, split between exemplars and barriers. The interview explores respondents’ views around their learning as managers and as students. In the questionnaires, Pearson coefficients show very strong correlation for learning exemplars: (0.85) between confidence, against results and relationships; and (0.85) between understanding strategy, against feedback and managing stress. For learning barriers, the highest correlation (0.78) occurs against working in a blame culture. Factor analysis by varimax rotation shows communalities for the learning exemplars under interpersonal skills and a critical approach to strategy. For barriers, groupings occur around an isolating culture and conflicting personal agendas. On gender, and when considering their study performance, regression analysis shows women’s perceptions are more positive than those of men when based on learning exemplars. In contrast, when based on learning barriers, men’s perceptions are more positive than those of women. There are no significant gender differences for perceptions of career progress. Regression analysis shows potential for parsimonious refinement of the questionnaire. The interviews indicate some preference for learning aims namely: more clarity of learning intentions, leadership skills and developing relationships with others. However the interviews reflect varying articulation between respondents of the processes required in achieving their respective aims. Recommendations are made for further refining the research methods.

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Context and Choice in Learning to Change in Healthcare

Vivien Martin, NHSU

Context and Choice in Learning to Change in Healthcare This paper explores the contribution that learning makes to achieving change in health and care services. There has been considerable change in how healthcare services are organised and delivered in England. Concerns are emerging about the extent to which staff and service users are able to lead and engage in the fast pace and complex nature of service development. Change involves people and their energy, their enthusiasm, their values and their abilities to think and to do things differently. Learning is at the heart of change. When we learn we make a change in ourselves, we have the potential to apply that new understanding to how we live and work. Learning is therefore central to both personal and organisational change. People approach learning in many different ways. Much of the focus of research into learning styles has focused on individual choice without relating choice to constraints or demands of the context. Personal preferences or learning styles may shape a personal approach to learning, but there are many other factors that contribute to the choices that individuals make. A significant factor for those learning in a workplace setting is the extent to which the individual s choices are constrained by the workplace demands. Learning can lead to many different types of change in individuals, influencing abilities, ways of thinking, awareness of the nature of knowledge and awareness of differences in perception. Learning might be evident in changes in the ways people think and act, both as individuals and in the complex multiprofessional and interdisciplinary settings of health and care services. Learning can transform people and the deeply personal nature of transformational learning has implications for those engaged in and leading transformational change. Personal transformational learning is often a significant experience for individuals who may feel vulnerable or lose confidence if long-held beliefs are challenged. There are sometimes very difficult issues to face when organisations embark on transformational change with the expectation that members of staff will engage in the personal learning journey that is necessary to create change. This paper draws on theory that has informed approaches to adults as learners, management and leadership development. The context of health and social care service development includes many disciplines and professions, many fields of study and fields of practice. Modernisation of services puts a particular emphasis on the ways in which people from different traditions work together and include service users in developing responsive services. Little attention has been paid to the role that learning must contribute to change. There is an opportunity to review the contribution that a number of fields of study might make to inform the emerging development of multiprofessional and multidisciplinary fields of practice.

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"Questioning styles" and students learning: four case studies

Helena Pedrosa de Jesus, University of Aveiro, Portugal

In this paper we are driven by the spirit of inquiry . We are principally concerned with the personal, individual, manifestation of this spirit as it appears through the questions that learners ask during the course of their learning. In our previous work we have established that some learners are more curiosity-driven than others: dependent on such understandable factors as learning material, learning context and mode of inquiry among others. In this paper we relate the capacity of learners to generate and formulate questions to their dispositions for learning: the learning styles they adopt, in this case, in the learning of undergraduate chemistry. One of the intended outcomes of this research is to explore aspects of the match-mismatch problem, addressing the question as to whether to teach to students preferred style of learning or not. There are benefits to be seen from working within a learner s zone of maximal learning comfort . There are also arguments for deliberately operating slightly away from this zone: discomfiting, challenging and thereby extending students strategies for learning. In this paper we build upon data we have collected that spans two university semesters and a sample of some 300 students - giving us the opportunity to distinguish between question-askers; tally their question-asking and then to inventory their learning styles. Here, we report on four of these students in some detail: as a study of cases. Using Kolb s (1984) Learning Styles Inventory we have drawn our cases one each from his categories of Accommodative, Divergent, Assimilative and Convergent learning styles, and we illuminate them by further data collected through both written and oral questions; interviews, and observations of these students in different classroom settings and undertaking different learning tasks. Our intention is to unravel the interrogative basis for these students learning through the quality and the quantity of questions they ask, the nature of these questions and the extent to which the questions are deliberative or spontaneous. Written questions are collected through Question Boxes placed in each laboratory and classrooms and through an intra-net system incorporating an e-mail correspondence facility. Oral questions are logged through observation of classroom and lecture sessions. These four cases allow us snapshots of how particular learners shape questions, the ways in which these fit with their orientations to learning, how this then drives their learning and what teaching might best then ensue.

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Embedding Entrepreneurial Studies Across the HE Curriculum: embracing independent learning, employability and transferable skills

Kerry Wilson, Leeds Metropolitan University

Enterprise League Tables published in 2000 identified Yorkshire and The Humber as poor regional performers in business start up, with an average of 30 VAT registrations per 10,000 resident adult populations in the year 1998 (HMT, 2000). Compared to the English national average of 41 registrations, Yorkshire and the Humber was the second lowest regional performer. The White Paper for Enterprise, Skills and Innovation (DTI, 2002) determined a strategy for regional improvement, including strategic roles for regional development agencies and greater co-operation between business and universities. As a proactive response to the regional poor performance in terms of business start ups, ‘Business Start Up @ Leeds Met’ have a contractual agreement with the regional development agency Yorkshire Forward, to provide educational provision to support, develop and nurture entrepreneurial behaviour and start up potential amongst students of Leeds Metropolitan University (LMU). LMU are also working in partnership with Yorkshire Universities to embed enterprise teaching and learning across the region. Further to the Enterprise in Higher Education (EHE) programme, themes of enterprise teaching and learning, and the pedagogical crises involved in the implementation of entrepreneurial programmes have been extensively covered by the literature. Gaps appear in practical application of enterprise teaching and learning research, and of the pedagogical knowledge obtained. Whilst conceptual models of entrepreneurial learning are freely discussed, teaching and learning case studies need to be developed in order to substantiate theoretical findings. ‘Business Start Up @ Leeds Met’ are committed to encouraging business start up in the region by embedding entrepreneurial studies across the Leeds Metropolitan University curriculum, embracing cross-disciplinary enterprise, creativity and innovation by applying research findings via a generic teaching and learning model. For entrepreneurial programmes to be successful and sustainable, the relevant concepts of employability and transferable skills need to be emphasised in terms of developing enterprising, creative and innovative graduates. This paper builds upon existing research to recommend an effective cross-disciplinary enterprise teaching and learning strategy, which encourages creativity and innovation by embracing independent learning, employability and transferable skills. Research has been undertaken via a review of the literature in to entrepreneurial teaching and learning methods, models and concepts, and employability and key skills development in higher education. Following qualitative focus group research with a sample case study of ten academics at LMU, the purpose of this paper is to recommend an effective cross-disciplinary enterprise teaching and learning strategy, which places an emphasis on creativity and innovation, and utilises generic teaching and learning methods based on themes of independent study, employability and transferable skills.

 

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Conceptions of learning and knowledge in higher education: Relationships with study behaviour and influences of learning environments

Elizabeth Peterson & Noel Entwistle, University of Edinburgh

Much of the research into powerful learning environments has looked at the general influences on students’ engagement and learning, but individual differences in reactions to such environments are to be expected. This paper will reviewing the research on conceptions of knowledge and learning, along with learning orientations and consider how these concepts change the ways in which students view aspects of their learning experience. At a more specific level, researchers have also focused on the concepts and learning orientations that influence study behaviour and in particular their affect on students’ approaches to learning and the regulation of their study strategies. While the initial research into the broader constructs influencing learning used student interviews, two inventories [the Approaches and Study Skills Inventory for Students (ASSIST) and Inventory of Learning Style (ILS)] have been developed which bring together the broader and the more specific concepts and, in doing so, allow statistical relationships between them to be examined. Findings suggest a clear link between conceptions of learning and study behaviour with developed conceptions being associated with a personal interest in the subject matter along with a deep conceptual understanding and self regulation. We conclude that while we now have a clearer idea about how to design teaching-learning environments that encourage a deep approach and conceptual understanding, the research makes it clear that we still have to make allowance for differences between students in how they react to the teaching they experience. These findings are important especially when considering how best to devise inclusive teaching-learning environments and how best to bridge the gap between theory and practice.

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Entrepreneurship And Personality: A Case For Methodological Reform

David Llewellyn, Leeds Metropolitan University

There are many alternative conceptualisations of entrepreneurship, and it is important to appreciate the differences that may underlie superficial semantic similarities. Contemporary personality theory can be characterised by a shift towards a five-factor model of broad traits (enduring aspects of individuality or temperament that are stable over time), which are each comprised of a number of narrow traits or facets. Personality traits are now thought of as components of a multidimensional causal model that incorporates both biological and social influences, and this can be contrasted with the more narrow-minded approach adopted by classical trait theorists. Studies which have investigated the relationship between entrepreneurship and personality traits can generally be characterised by three main weaknesses: A lack of conceptual and taxonomic clarity, the use of psychometric measures with unknown or inadequate validity, and the incorporation of small samples which are insufficient to achieve acceptable statistical power. Despite these limitations it is clear that entrepreneurship may be associated with the broad traits of low neuroticism, agreeableness and conscientiousness, and high extraversion and openness to experience. In addition the narrow traits of achievement motivation, locus of control and risk taking also appear to be potentially important. Recommendations for future research, policy and practice are outlined.

 

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Cognitive style as a predictor of entrepreneurial predilection

Andrew Hird and Steve Armstrong, University of Hull

Carland et al, (2001) suggest that cognitive style is a relatively new, yet promising perspective of the entrepreneurial psych. Definitions of cognitive style types and entrepreneurial types certainly display interestingly similar characteristics such as greater impulsion, open-mindedness and change orientation. This paper reports an empirical study of the relationship between cognitive style and entrepreneurial predilection, to investigate the possibility that cognitive style may indeed be a component trait of the entrepreneurial personality. A random sample of 504 entrepreneurs was drawn from the membership of various chambers of commerce and business incubator sites from the midland and northern regions of the UK. There were 131 useable responses. A control group of non entrepreneurs also formed part of the study. Cognitive style was measured using the cognitive styles index (Allinson & Hayes, 1996), entrepreneurial drive by the Carland entrepreneurial index (Carland et al, 2002), and entrepreneurial predilection by self-developed items. Data were analysed by means of a correlational analysis, t-tests and one-way analysis of variance. Findings generally support the hypothesis that entrepreneurs tend to be more intuitive and less analytic than non entrepreneurs. This paper will present the results of the study, discuss its limitations, and make recommendations for further research in the field.

 

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Success Factors of Ph.D. Research in the Contemporary Environment:An Empirical Study

Nazmun Nahar, University of Jyvaskyla, Finland, Najmul Huda, Tallinn Technical University, Estonia, and Prosenjit Singha Deo, Bose National Centre for Basic Sciences, Calcutta.

This study explores which factors contribute to successful completion of Ph.D. research by maintaining high quality in the contemporary research environment. This research has been executed by: a) reviewing literature in the fields of research supervision, Ph.D. supervision, Ph.D. researchers, and a contemporary research environment; b) in-depth interviewing of Ph.D. graduates, supervisors, and policy makers of research institutes of different countries; and c) utilizing both qualitative and quantitative data analysis techniques. This study delivers a framework for the investigation of the success factors related to Ph.D. theses completion in a contemporary environment. This study contributes new knowledge to supervising Ph.D. theses and conducting Ph.D. research. This study suggests implications for Ph.D. supervisors, Ph.D. students, and research policy makers. This study also suggests future research directions.

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Intuition: laying some ghosts to rest?

Eugene Sadler-Smith, University of Plymouth, UK.

This paper will begin by reviewing the literature on intuitive information processing. It will then identify three common conceptions relating to intuition, namely that: it, along with other facets of style, is a 'right-brained' phenomenon; that it is the 'opposite of analysis'; and that 'women are more intuitive than men'. By using data gathered from a number of student and work-based samples the paper will examine the: (a) Inter-relationships between the following information processing styles: (i) local and global; (ii) a rational and intuitive; (iii) verbal and visual. The assertion that specific clusters comprising local, rational and verbal (left brained) and global, intuitive and visual (right brained) each form distinct groups will be examined empirically through factor analytical procedures; (b) Relationships between rational and intuitive measures of information processing. These will be explored to examine the extent to which these two different facets of style inter-correlate and therefore the extent to which each may be thought of as uni-polar constructs; (c) Stereotype of female intuition. This will be explored by means of sub-group comparisons. The paper aims to contribute to current and on-going debates about the nature of intuition and the relationship between intuition and other facets of style.

 

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The Case for Individualizing Teaching Based on Cross-National Adolescents' Learning Styles

Heide Hlawaty, Georgia College & State University, Andrea Honigsfeld, Molloy College, Tatyana Ulubabova, New York City Board of Education, Rita Dunn and Ruth De Paula St. John's University, USA.

This manuscript challenges Teacher Educators to prepare prospective teachers for teaching adolescents as diverse individuals rather than as a group. This challenge is based on five comprehensive studies with a combined population of 4,296 students from Bermuda, Brazil, Brunei, Germany Hungary, New Zealand, and Russia (De Paula, 2002; Hlawaty, 2002; Honigsfeld, 2001, 2002; Pengiran-Jadid, 1989; Ulubabova, 2003). Regardless of nation, individuals differed statistically by their achievement levels, ages, and gender. These findings suggest that only preparing lessons based on subject content, students' grade levels, or teacher-selected instructional approaches is inappropriate and likely to be ineffective. Instead, teachers should develop lesson plans that respond to students' learning styles as influenced by their gender, age, and achievement.

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