Peer reviewed journal articles published:

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• Chan, C. K. Y. (2025). A scoping review of empirical research on Collaborative Online International Learning (COIL) implementation. Educational Research Review. Advance online publication. https://doi.org/10.1016/j.edurev.2025.100749 [link]

• Hu, W., & Chan, C. K. Y. (2025). From user needs to AI solutions: A human-centered design approach for AI-powered virtual teamwork competency training. International Journal of Educational Technology in Higher Education, 22, 52. https://doi.org/10.1186/s41239-025-00551-z [link]

• Chan, C. K. Y., & Lee, K. K. W. (2025). The balancing act between AI and authenticity in assessment: A case study of secondary school students’ use of GenAI in reflective writing. Computers & Education, 238, 105399. https://doi.org/10.1016/j.compedu.2025.105399 [link]

• Chan, C. K. Y., & Wong, H. Y. H. (2025). Assessing the ability of generative AI in English literary analysis through Bloom’s taxonomy. Discover Computing, 28, 127. https://doi.org/10.1007/s10791-025-09572-8 [link]

• Hu, W., & Chan, C. K. Y. (2025). Closing the evaluation gap: Developing a behavior-oriented framework for assessing virtual teamwork competency [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2504.14531 [link]

• Chan, C. K. Y. (2025). Students’ perceptions of “AI-giarism”: Investigating changes in understandings of academic misconduct. Education and Information Technologies, 30, 8087–8108. https://doi.org/10.1007/s10639-024-13151-7 [link]

• Dai, W., Lin, J., Jin, F., Tsai, Y.-S., Srivastava, N., Le Bodic, P., Gašević, D., & Chen, G. (2025). Learning Analytics for Early Identification of At-Risk Students and Feedback Intervention. Journal of Learning Analytics, 1-24. https://doi.org/10.18608/jla.2025.8735 [link] 

• Dai, W., Cheng, Y., Aldino, A. A., Tsai, Y. S., Gašević, D., & Chen, G. (2025). Evaluating the Capability of Large Language Models in Characterising Relational Feedback: A Comparative Analysis of Prompting Strategies. Computers and Education: Artificial Intelligence, 100427. https://doi.org/10.1016/j.caeai.2025.100427 [link]

• Chan, C. K. Y., & Lee, K. K. W. (2025). Who grades more consistently? Exploring AI vs. human teachers in the assessment of reflective writing. AI Enhanced Learning, 1(1), 203–228. https://doi.org/10.70725/298318rdotfx [link]

• Chan, C. K. Y. (2025). Understanding AI guilt: the development, pilot-testing, and validation of an instrument for students. Education and Information Technologies, 30(15), https://doi.org/10.1007/s10639-025-13629-y [link]

• Chan, C. K. Y. (2025). AI as the therapist: Student insights on the challenges of using generative AI for school mental health frameworks. Behavioral Sciences, 15(3), 287. https://doi.org/10.3390/bs15030287 [link]

• Chan, C. (2024). Holistic competencies and AI in education: A synergistic pathway. Australasian Journal of Educational Technology, 40(5), 1-12. https://doi.org/10.14742/ajet.10191 [link]

• Dai, W., Tsai, Y. S., Lin, J., Aldino, A., Jin, H., Li, T., ... & Chen, G. (2024). Assessing the proficiency of large language models in automatic feedback generation: An evaluation study. Computers and Education: Artificial Intelligence, 7, 100299. https://doi.org/10.1016/j.caeai.2024.100299 [link]

• Chan, C.K.Y. (2024). Students’ perceptions of ‘AI-giarism’: investigating changes in understandings of academic misconduct. Education and Information Technologies, 30(6), 8087–8108.  https://doi.org/10.1007/s10639-024-13151-7 [link]

• Chan, C. K. Y., & Tsi, L. H. (2024). Will generative AI replace teachers in higher education? A study of teacher and student perceptions. Studies in Educational Evaluation, 83, Article 101395. https://doi.org/10.1016/j.stueduc.2024.101395 [link],

• Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments, 10(60), 1-23. https://doi.org/10.1186/s40561-023-00269-3 [link]

• Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), Article 38. DOI: 10.1186/s41239-023-00408-3 [link]

• Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), Article 43. https://doi.org/10.1186/s41239-023-00411-8 [link]

• Liu, D., Bridgeman, A., & Chan, C. K. Y. (2023, May 15). Please do not assume the worst of us: Students know AI is here to stay and want unis to teach them how to use it [Web log post]. The Conversation. Retrieved from https://theconversation.com/please-do-not-assume-the-worst-of-us-students-know-ai-is-here-to-stay-and-want-unis-to-teach-them-how-to-use-it-203426 [link]