Prof. Mike Joy
Department of Computer Science
University of Warwick, UK

Email: [email protected]

Qualifications
2006  MA, University of Warwick, Post-Compulsory Education, UK
1985  PhD, University of East Anglia, Computer Science, UK
1983  MA, University of Cambridge, Mathematics, UK
1979  BA, University of Cambridge, Mathematics, UK

Publications (Selected)

1. Ebrahim, F., & Joy, M. (2026). An empirical study of fine-tuning pre-trained code models and adapters for the classification of source code plagiarism instances. Applied Sciences, 16(14), 7156.
2. Li, Z., Joy, M., & Li, D., et al. (2026). Design-based learning and students’ study engagement and design thinking competence: A study based on the job demands–resources theory. Education Sciences, 16(7), 1082.
3. Ebrahim, F., & Joy, M. (2026). Can code evaluation metrics detect code plagiarism? arXiv.
4. Shweikeh, E., Al-Rajab, M., & Lu, J., et al. (2026). A deep learning model to enhance lung cancer detection using ‘Dual-Branch’ model classification approach. PLOS ONE, 21(1), e0339404.
5. Yanwar, A. P., Sitthiworachart, J., & Morris, J., et al. (2026). Unidentified versus identified peer feedback combined with teacher feedback to improve second language students’ online writing. Language Teaching Research Quarterly, 54, 56–82.
6. Auliya, R. N., Sitthiworachart, J., & Joy, M., et al. (2026). Integrating problem-based learning and augmented reality for enhancing problem-solving and computational thinking skills. International Journal of Mobile Learning and Organisation, 20(1), 59–92.
7. Liu, Y., Sitthiworachart, J., & Prabowo, T. T., et al. (2025). Fostering critical thinking in physical education through the integration of peer, self, and teacher assessments. International Journal of Innovative Research and Scientific Studies, 8(7).
8. Lu, J., Balasubramanian, B. K., & Joy, M., et al. (2025). Survey and analysis for the challenges in computer science to the automation of grading systems. ACM Computing Surveys, 58(1), 1–37.
9. Yanwar, A. P., Sitthiworachart, J., & Joy, M. (2025). Students’ difficulties, perceptions, feelings, and types of technology used in learning english. Journal of Higher Education Theory and Practice, 25(1), 134–142.
10. Auliya, R. N., Sitthiworachart, J., & Joy, M. (2025). An evaluation of student response systems in secondary mathematics classrooms. International Journal of Mobile Learning and Organisation, 19(4), 365–397.
11. Prabowo, T. T., Sitthiworachart, J., & Hong, J. C., et al. (2024). Problem-based learning with library e-resources to enhance student information literacy self-efficacy. Library Management, 45(8-9), 564–580.
12. Ebrahim, F., & Joy, M. (2024). Semantic similarity search for source code plagiarism detection: An exploratory study. Proceedings of the 2024 on Innovation and Technology in Computer Science Education, 13–20.
13. Ebrahim, F., & Joy, M. (2024). WarwickNLP at semeval-2024 task 1: Low-rank cross-encoders for efficient semantic textual relatedness. Proceedings of the 18th International Workshop on Semantic Evaluation, 1–9.
14. Ebrahim, F., & Joy, M. (2024). Few-shot issue report classification with adapters. Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, 7–14.
15. Al-Rajab, M., Lu, J., & Xu, Q., et al. (2023). A hybrid machine learning feature selection model—HMLFSM to enhance gene classification applied to multiple colon cancers dataset. PLOS ONE, 18(11), e0286791.
16. Alotaibi, M., & Joy, M. (2023). Supervised machine learning model for diabetic students’ glucose levels classification system. Intelligent Systems Conference, 516–524.
17. Ebrahim, F., & Joy, M. (2023). Source code plagiarism detection with pre-trained model embeddings and automated machine learning. Proceedings of the 14th International Conference on Recent Advances in Software Engineering, 20–23.
18. Al-Fraihat, D., Alzaidi, M., & Joy, M. (2023). Why do consumers adopt smart voice assistants for shopping purposes? A perspective from complexity theory. Intelligent Systems with Applications, 18, 200230.
19. Quqandi, E., Joy, M., & Drumm, I., et al. (2023). Augmented reality in supporting healthcare and nursing independent learning: Narrative review. CIN: Computers, Informatics, Nursing, 41(5), 281–291.
20. Sitthiworachart, J., Joy, M., & Ponce, H. R. (2023). Interactive learning with student response system to encourage students to provide peer feedback. Education Sciences, 13(3), 310.

Profile Details
https://scholar.google.com/citations?user=IOV57iUAAAAJ&hl=en
https://profiles.warwick.ac.uk/csrnp-mike-joy
https://www.researchgate.net/profile/Mike-Joy

WOS ResearcherID: D-2164-2011