Photo of Michael LinDr Michael Pin-Chuan Lin
Assistant Professor
PhD, Simon Fraser University

Office: Seton 439
Tel: (902) 457-6220
Email:  Michael.Lin@msvu.ca

Website: https://sites.google.com/view/drmichaelpin-chuanlin/home

Google Scholar: https://scholar.google.ca/citations?user=drkk4oYAAAAJ&hl=en

Dr. Lin is currently accepting MA Education thesis students. Dr. Lin’s research group is also recruiting dedicated students for volunteer or paid research assistantships.

 

Background

PhD in Educational Technology & Learning Design, Simon Fraser University

MBA in Information Management, National Formosa University

BBA in Information Management, National Penghu University of Science and Technology

Research & Teaching Interests

Dr. Lin’s multidisciplinary research and teaching practice focuses on the latest uses of educational technology, including generative AI, to promote active learning in public schools and post-secondary classrooms. He aims to deepen understanding of students’ and teachers’ engagement with learning technologies, particularly focusing on chatbot-assisted learning, personalized learning, and learning analytics, to improve self-regulated learning and student achievement.

Sample Publications

  • Lin, M. P. C., Chang, D., & Winne, P. H. (2025). A Proposed Methodology For Investigating Student-Chatbot Interaction Patterns In Giving Peer Feedback Educational Technology Research and Development, 73(1), 353–386. https://doi.org/10.1007/s11423-024-10408-3
  • Min, S., Lin, M. P. C., Ho, M., & Ryoo, J. (2025). Evaluating the Impact of Assistive AI Tools on Learning Outcomes and Ethical Considerations in Programming Education. 2025 IEEE Global Engineering Education Conference (EDUCON), 1–10. https://ieeexplore.ieee.org/abstract/document/11016517/
  • Lin, M. P. C., Liu, A. L., Saffari S., & Chang, D. H. (2025). Mapping AI Tools in Education: A Topic Modeling Analysis of Cognitive, Metacognitive, & Affective Insights. In S. Graf & A. Markos (Eds.), Generative Systems and Intelligent Tutoring Systems (pp. 88–101). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-98281-1_7
  • Lin, M. P. C., Liu, A. L., Poitras, E., Chang, M., & Chang, D. H. (2024). An Exploratory Study on the Efficacy and Inclusivity of AI Technologies in Diverse Learning Environments, Sustainability, 16(20), 8992. https://doi.org/10.3390/su16208992
  • Lin, M. P. C. & Chang, D. (2023). CHAT-ACTS: A Pedagogical Framework For Personalized Chatbot To Enhance Active Learning And Self-Regulated Learning. Computers and Education: Artificial Intelligence, 5, 100167. https://doi.org/10.1016/j.caeai.2023.100167
  • Chang, D. H., Lin, M. P. C., Hajian, S., & Wang, Q. Q. (2023). Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization. Sustainability, 15(17), 1–15. https://doi.org/10.3390/su151712921
  • Lin, M. P. C. & Chang, D. (2020).  Enhancing post-secondary writers’ writing skills with a chatbot: A mixed-method classroom study. Journal of Educational Technology & Society, 23(1), 78-92. https://www.jstor.org/stable/26915408
  • Winne, P. H., Teng, K., Chang, D., Lin, M. P. C., Marzouk, Z., Nesbit, J. C., Patzak, A., Rakovć, M., Samadi, D., & Vytasek, J. (2019). nStudy: Software for learning analytics about processes for self-regulated learning. Journal of Learning Analytics, 6, 95-106. https://doi.org/10.18608/jla.2019.62.7

Software Development Project

  • Lin, M. P. C., Chang, D. H., Yang, D., Ho, M., Winne, P. H. & Ryoo, J. (2025). MetaMentorAI. [Computer software]. https://MetaMentorAI.online.
  • Chang, D. H., Lin, M. P. C., & Ryoo, J. (in progress). Re-Map. [Computer software in development]