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I have always been interested in the value that material culture and information systems particularly have for making, sharing and analysing knowledge and how this is used for meaning making and the benefits this has for societies and systems. Broadly speaking I am interested in how, what, where and why people learn.
My work has involved studies of craft work, materiality, embodiment and the senses – and has included technology such as AI voice assistants, large language models and web applications. I also work on co-production and co-participation projects that involve crowd-sourced data and citizen science and community engagement.
I am passionate about education and pedagogy and technology. I have led postgraduate Data Science MSc, PGCE Computing courses and currently lead an undergraduate course. I publish in internationally rated peer-reviewed journals, am a peer-reviewer and recently won an award for Novel and Innovative Research. My current research is a tripartite stakeholder ‘litter’ project being delivered through an intersection of AI, citizen science and a co-production methodology.
PhD Education and Technology (thesis entitled “Connecting the Dots: An exploratory ethnographic study of Alexa in the classroom”), 2021
Masters’ in Educational Leadership, 2015
PGCE Computing, 2003
BSc Multimedia and Computing, 2001
Fellow of the Higher Education Academy, 2019
Postgraduate Certificate in Academic Practice, 2019
John Hockey Award for Innovative Research, 2024/25. Recognising published research that has made a novel contribution to its field.
British Educational Research Association
ACEM
I teach all aspects of technology and education at both undergraduate and postgraduate levels. More specifically I lead undergraduate modules on computer science and postgraduate modules on data science. I lead an Apprenticeship Degree course and have previously led PGCE Computing and Research Methods courses at the University of Sheffield and Bath Spa.
My research interests lie within sociology but focus on people and technology. I am driven by two burning questions: what counts as knowledge? and whose knowledge is important?
Having technical expertise and skills in a wide range of traditional and emergent technology and a deep understanding of people’s motivations and behaviours I am keen to collaborate on interdisciplinary research. I have studied cyclists, graffiti artists, large language AI models, classrooms and more recently ‘nonsense’ and information security.
I am currently involved in a research project that is using computer vision AI with a District Council and community groups to develop a data dashboard and web app.
I., Vasas, (Completed May 2024) A Competency-Based Autonomous Coaching Framework Utilizing Large Language Model Technology
IB., Lowater (2019 – 2026) Restorative practice training for senior school leaders: How restorative training methods support whole school implementation of restorative practice
J., Torrent (2025 – 2028) User-Centric Approach for Automatic Generation of Audio Description Based on Multimodal Large Language Models
B., Daniels (2025 – 2028) AI-Powered Mobile Asset Verification Innovation: Adoption and Influence on Local Government in South Africa
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