Dr Mike O'Dea

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Contact

profile_image:

Name:

Dr Mike O'Dea

Email:

M.ODea@yorksj.ac.uk

Department:

School of Science, Technology and Health

Biography

Expertise:

Computer Science Education, Machine Learning, Databases, The User Experience

Job title:

Senior Lecturer: Computer Science

Biography:

Mike spent a number of years in industry before moving over to academia in the mid-1990s. During his academic career he has taught in institutions both abroad, in New Zealand and China, as well as here in the UK. Mike's main research interest is in Computer Science Education and Machine Learning. In particular he is interested in the affordances offered by and integration of computer games to teaching and learning. His teaching specialisms include AI/Machine Learning, Databases, web design and development and the user experience.

Qualifications:

He holds a doctorate from the University of Leeds, where he investigated the use of computer games in enabling the connection between conceptual and procedural knowledge by providing problem spaces. He is a Senior Fellow of the HEA and a York St John E-Pedagogy Teaching Fellow.

My Latest

Baghban Karimi, Ouldooz, Toti, Giulia, Gutica, Mirela, Robinson, Rebecca, Zhang, Lisa, Paterson, James H., Lindner, Peggy and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2023) 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, pp. 563-564
O'Dea, Xianghan (Christine) ORCID: https://orcid.org/0000-0003-1533-1067 and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2023) Is Artificial Intelligence Really the Next Big Thing in Learning and Teaching in Higher Education? A Conceptual Paper. Journal of University Teaching and Learning Practice, 20 (5).
O'Dea, Xianghan (Christine) ORCID: https://orcid.org/0000-0003-1533-1067 and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2023) Teaching AI literacy: how to begin. Times Higher Education.
O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194, O'Dea, Xianghan (Christine) ORCID: https://orcid.org/0000-0003-1533-1067 and Wang, Chen (2023) 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, 16. pp. 359-379.
O'Dea, Xianghan (Christine) ORCID: https://orcid.org/0000-0003-1533-1067 and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2023) Can AI support academic research? Wonkhe.
Shkuratskyy, Viacheslav, Usman, Aminu ORCID: https://orcid.org/0000-0002-4973-3585 and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2023) The Application of Machine Learning for Predicting Global Seismicity. In: Artificial Intelligence Methods and Applications in Computer Engineering. 1 ed. Engineering Science Reference, 2023, pp. 1-22
Jegathees, Keshanth Jude, Usman, Aminu ORCID: https://orcid.org/0000-0002-4973-3585 and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2023) Assessing the Predictability of Bitcoin Using AI and Statistical Models. In: Maleh, Yassine, Alazab, Mamoun and Romdhani, Imed, (eds.) Blockchain for Cybersecurity in Cyber Physical Systems. Advances in Information Security (12). Springer
O'Dea, Xianghan (Christine) ORCID: https://orcid.org/0000-0003-1533-1067 and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2022) Is there still a future for online and blended teaching? WonkHE.
O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 and O'Dea, Xianghan (Christine) ORCID: https://orcid.org/0000-0003-1533-1067 (2021) Showing how computer science can save the world might encourage girls to study it. Wonkhe.
O'Dea, Xianghan ORCID: https://orcid.org/0000-0003-1533-1067, Wang, Chen and O'Dea, Mike ORCID: https://orcid.org/0000-0003-2112-0194 (2021) Learning effectiveness of short term study abroad through the lens of transformative learning: a comparative study of international students in China and the UK. In: 9th European Conference on Education, July 15 - 18, 2021, UCL, London.

My Most Viewed

#	Item title
1	Is Artificial Intelligence Really the Next Big Thing in Learning and Teaching in Higher Education? A Conceptual Paper	504	527
2	Yorkshire Innovation Fund Project Report - Sue Overton Associates	120	51
3	Yorkshire Innovation Fund Project Report - 5th Wall	85	23
4	Learning effectiveness of short term study abroad through the lens of transformative learning: a comparative study of international students in China and the UK	58	28
5	Teaching AI literacy: how to begin	57
6	Can AI support academic research?	41
7	Learning effectiveness of semester and year long study abroad programmes: perspectives of international students in a UK and China context	21	14
8	Exploring Computing Science Programs' Admission Procedures with a Diversity and Inclusion Lens	17