Torch

Mrs Joanna Carter

Academic Data Manager

Faculty and Department

  • Education
  • Teaching Excellence Academy

Qualifications

  • BSc (University of Wales)
  • MSc (University of York)

Summary

Jo joined the University of Hull as an Academic Data Manager in November 2017 with analytical skills developed over almost a decade of working as an Intelligence Analyst for Humberside Police, the latter four years being in a senior position.

Highlights during Jo's time with Humberside Police include analysing and informing high profile tactical and strategic evidence-based policing activity, leading a working group on the testing of business intelligence tools for data extraction and visibility, designing intelligent processes and visualisations for crime mapping, critical appraisal of predictive policing techniques to inform operational practice, creation of complex data extraction queries and performing comprehensive data quality assurance and best practice methodologies.

Jo undertook a secondment with Her Majesty's Inspectorate of Constabulary in 2013 where she conceptualised and produced the framework for the monitoring of equality and diversity across Police forces.

Jo has achieved MSc in Applied Forensic Psychology from the University of York where her interest in crime pattern analysis and organisational intelligence-led, proactive interventions developed. She seeks to work transparently with data, providing clear methodology, drawing together and evaluating information in a meaningful way to staff at all levels and communicating this effectively to influence strategy and make a difference.

She brings to the University of Hull a commitment to improving the use of data to support the enhancement of teaching and learning and is currently taking the Postgraduate Certificate in Academic Practice (PCAP) course to achieve fellowship of the Higher Education Academy.

Undergraduate

My main area of focus in my role is the development and analysis of the Module Evaluation Questionnaire (MEQ) process and results data. During 2019 I co-chaired an MEQ working group which reviewed the purpose and format of MEQs and how MEQs fit into module review as a whole. Now that the majority of this work has been implemented I am focusing on analysing student survey results collectively and the impact of student survey results on teaching practice.

The work I undertake also encompasses a range of reporting on academic data, including continuation, retention and attainment; analysing data from module to institutional level.

As part of the Teaching Excellence Academy my work supports the enhancement of pedagogic practice, working with Scholarship of Teaching and Learning and Learning Technology colleagues.