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Academic and Teaching Staff

Michael O'Dea
Lecturer

Interests

Computer Science Education
AI in Education
AI literacy
Machine Learning

Qualifications

Senior Fellow of the HEA
Ed.D. University of Leeds, Computer based Learning

Career

Senior Lecturer in Computer Science, York St John University
Lecturer in Software Engineering, Beijing University of Technology, China
Lecturer in Computer Science, University of Hull
Lecturer in Information Technology, Waikato Institute of Technology, NZ

SCHOLARSHIP ACTIVITIES

Journal of University Teaching and Learning Practice: Associate Editor - Special Issues
https://open-publishing.org/journals/index.php/jutlp/about/editorialTeam

Journal of University Teaching and Learning Practice: Lead Guest Editor
Special Issue: Are the Technology Acceptance Models still fit for purpose?
July 2024 https://open-publishing.org/journals/index.php/jutlp/cfp

Education Sciences: Guest Editor
Special Issue: Generative-AI-Enhanced Learning Environments and Applications https://www.mdpi.com/journal/education/special_issues/6252O2E1AK

King's Institute for Artificial Intelligence, King's College, University of London. Invited external academic affiliate

PUBLICATIONS, PAPERS AND PEER REVIEWED CONFERENCE PRESENTATIONS

O'Dea X., O'Dea M., Ng D.T.K., Lau, J., Fenyvesi, K. Graduate attributes in the age of disruptive technology: abilities, skills and mindsets required for Industry 5.0. Artificial Intelligence in Education, 2025, 1(1), 144-158,
https://doi.org/10.1108/AIIE-08-2025-0230

O'Dea, M. Editorial: Are Technology Acceptance Models still fit for purpose? Journal of University Teaching and Learning Practice 2025. 21(8) https://doi.org/10.53761/1bdbms32

O'Dea, M. Book Review: The Technology Acceptance Model - 30 Years of TAM by Fred D. Davis and Andrina Granic. Journal of University Teaching and Learning Practice 2025. 21(8)
https://doi.org/10.53761/ffx9bd95

O'Dea, X., Ng, D. T. K., O'Dea, M. and Shkuratskyy, V. Factors affecting university students' generative AI literacy: Evidence and evaluation in the UK and Hong Kong contexts. Policy Futures in Education 2024
https://doi.org/10.1177/14782103241287401

Shkuratskyy, V., Usman, A., O'Dea, M., Rehman, M., Sabuj, S.. A Machine Learning Approach for Earthquake Prediction in Various Zones Based on Solar Activity. World Academy of Science, Engineering and Technology, Open Science Index 211, International Journal of Computer and Information Engineering. 2024, 18(7), 380 - 387.
https://publications.waset.org/10013721.pdf

Baghban Karimi, O., Toti, G., Gutica, M., Robinson, R., Zhang, L., Paterson, J. H., Lindner, P. and O'Dea, M. Exploring Computing Science Programs' Admission Procedures with a Diversity and Inclusion Lens. In: ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education. ACM, 2023, 563-564,
https://doi.org/10.1145/3623762.3633496

O'Dea, M., and O'Dea, X. Is artificial intelligence really the next big thing in learning and teaching in Higher Education? Journal of University Learning and Teaching Practice. 2023, 20(5)
https://doi.org/10.53761/1.20.5.06

Jegathees, K. J., Usman, A. B. and O'Dea, M. Assessing the Predictability of Bitcoin Using AI and Statistical Models. In: Maleh, Y., Alazab, M. and Romdhani, I., (eds.) Blockchain for Cybersecurity in Cyber Physical Systems. Springer 2023
https://doi.org/10.1007/978-3-031-25506-9_11

O'Dea, X. and O'Dea, M. Learning effectiveness of semester and year long study abroad programmes: perspectives of international students in a UK and China context Fudan Journal of the Humanities and Social Sciences. 2023, 16, 359 - 379
https://doi.org/10.1007/s40647-023-00370-4

Shkuratskyy, V., Usman, A. B. and O'Dea, M. The Application of Machine Learning for Predicting Global Seismicity In Artificial Intelligence Methods and Applications in Computer Engineering. 1 ed. Engineering Science Reference, 2023, 1-22
https://doi.org/10.4018/978-1-6684-6937-8.ch011

O'Dea, X., Chen, W. and O'Dea, M. Transformative Learning and Short-Term Study Abroad: A Comparative Study of International Students' Learning Experiences in the UK and China 9th European Conference on Education UCL, London, July 15 - 18 at UCL in London. 2021

OTHER PUBLICATIONS

O'Dea, M. and O'Dea, X. GenAI is here to stay. Now let's get on with it! Emerald Publishing 28/5/2024
https://www.emeraldgrouppublishing.com/opinion-and-blog/genai-here-stay-now-lets-get-it

O'Dea, X. and O'Dea, M. How can we teach AI Literacy Skills? Times Higher Education 11/4/2024
https://www.timeshighereducation.com/campus/how-can-we-teach-ai-literacy-skills

O'Dea, X. and O'Dea, M. Teaching AI literacy: how to begin. Times Higher Education 9/6/2023
https://www.timeshighereducation.com/campus/teaching-ai-literacy-how-begin

O'Dea, X. and O'Dea, M. Can AI support academic research? Wonkhe 20/2/2023
https://wonkhe.com/blogs/can-ai-support-academic-research/

O'Dea, X. and O'Dea, M. Is there still a future for online and blended teaching? Wonkhe 6/4/2022
https://wonkhe.com/blogs/is-there-still-a-future-for-online-and-blended-teaching/

O'Dea, M. and O'Dea, X. Showing how computer science can save the world might encourage girls to study it. Wonkhe 11/02/2021
https://wonkhe.com/blogs/showing-how-computer-science-can-save-the-world-might-encourage-girls-to-study-it/

INVITED TALKS AND WORKSHOPS

Do we need to reconceptualise graduate attributes in the Gen AI era? University of York: Education in a world with Generative AI mini-conference. 15/10/2025
https://drive.google.com/file/d/1dukb_oKJpcR-Iuck_Kefy9IAEXqNW_j3/view

GenAI in Learning and Teaching: adapting to, integrating and embracing. ISPIM Future Educators Program - Manchester Metropolitan University. 19/5/2025

Preparing for a new academic skills landscape. Podcast: University of York. 25/3/2025
https://baleaptelsig.podbean.com/e/how-do-we-embrace-ai-with-mike-o-dea-and-paulina-melichova/?token=ea3c1c6c0aaa7e0ff266088d26563252

What it Means to be An AI-Literate Graduate. Keynote speech. GenAI at York St John Conference. 21/3/2025 https://blog.yorksj.ac.uk/tatlblog/2025/03/21/genai-at-york-st-john-conference-2025/

Integrating generative AI inclusively for constructivist-oriented active learning. 84th Annual Meeting of the Academy of Management, Teaching & Learning Conference: Chicago, Illinois. 11/8/2024 https://aom.org/events/annual-meeting

Using Synthetic data sets in research and teaching. International Conference on Artificial Intelligence in Education, The Open Access Publishing Association. 6/6/2024
https://open-publishing.org/international-conference-of-artificial-intelligence-in-higher-education-2024

Bridging the gap: Using emerging technologies to improve the student experience. Panel Speaker. Chartered Association of Business Schools: PMAC Conference 2024. 18/4/2024 https://charteredabs.org/events/pmaconline2024

Higher Education Research, Practice, and Policy: Connections & Complexities. Invited Panel Speaker. Society of Research in Higher Education Conference 2023. 8/12/2023
https://srhe.ac.uk/2023-programme-and-highlights/#1699274345200-0f70a507-9a21

AI for Research. Queen Mary University of London: AI Literacy Workshop. 9/11/2023
https://gamma.app/docs/QMUL-AI-Literacy-Training-Workshop-0r7uxhetvfs0ywh?mode=doc

Portrait methodology, conversational methodology and grounded theory. Society of Research in Higher Education: Workshop - Personal approaches to research in higher education. 15/2/2023
https://srhe.ac.uk/civicrm/?civiwp=CiviCRM&q=civicrm/event/info&reset=1&id=635

EXTERNAL GRANTS

2025 QAA Collaborative Enhancement Project: Graduate Attributes in the Era of GenAI. Funding: £10,000. Role: Principal Investigator: International collaboration project with teams from the UK, Ireland, Hong Kong, and Australia.

Departmental and University Roles

  • PGT Data Science Programme Lead

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Contact details

Department of Computer Science
University of York
Deramore Lane
York
YO10 5GH

Phone: +44 (0)1904 325500

Office: CSE/165

E-mail: