Photo of Michael Lin

Dr. Michael Pin-Chuan Lin

Assistant Professor, Educational Technology

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 recruiting prospective PhD students in Educational Studies and welcoming inquiries from MAEd and RMA thesis students whose interests align with his research. Paid research assistantships may be available, subject to research fit, project needs, and available funding.

Before contacting Dr. Lin, prospective students should review his Graduate Student and Research Opportunities page for current openings, supervision interests, and application instructions: https://sites.google.com/view/drmichaelpin-chuanlin/opportunities

 

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

Additional appointment: Adjunct Professor, Faculty of Education, Simon Fraser University (2026–present).

Research & Teaching Interests

Dr. Lin studies how generative AI, educational chatbots, and learning analytics can support active learning and self-regulated learning in K–12 and higher education. His research examines the design of AI-supported learning activities, students’ interactions with these tools, and the conditions that support learner agency, equitable participation, and responsible AI use. His teaching emphasizes active, inquiry-based learning and the critical use of educational technologies. He mentors graduate students in research design, data analysis, and scholarly writing.

Selected Research Grants

Amounts below are total project awards in Canadian dollars.

2026–2030 | SSHRC Insight Grant | $415,539. Tracing Self-Regulated Learning in Computer Science Education with an AI-Enhanced Learning Tool. Role: Principal Investigator.

2026–2028 | SSHRC Insight Development Grant | $98,040. Emotion-Aware Learning Supports for Equitable Computing Education. Role: Co-applicant; Principal Investigator: Marco Ho, British Columbia Institute of Technology.

2024–2026 | SSHRC Insight Development Grant | $70,724. Evolving Pedagogy: Integrating Generative AI into Teaching Practices. Role: Principal Investigator.

2023–2025 | MSVU New Scholar’s Grant | $10,000. Transforming Education: A Comprehensive Framework for Integrating AI Chatbots in Teaching and Learning. Role: Principal Investigator.

Postdoctoral Research Training Support

Canada Impact+ Research Training Award (SSHRC), $140,000 over two years ($70,000 annually). Award holder: Dr. Mahboobe Mehrvarz, whose postdoctoral appointment begins November 1, 2026. Dr. Lin served as MSVU’s institutional nominator, co-developed the successful nomination with Dr. Mehrvarz, and will supervise the fellowship.

Sample Publications

  • Lin, M. P. C., Chang, D. H., Winne, P. H., Bowen, G. M., & Ryoo, J. (2026). Mapping generative AI in higher education teaching and learning: A scoping review. International Journal of Educational Technology in Higher Education, 23, 55. https://doi.org/10.1186/s41239-026-00630-9
  • Lin, M. P. C., Chang, D. H., Janarthanan, V., Hsiao, M., Ho, M., & Ryoo, J. (2026). Designing for self-regulated learning in AI-assisted quizzing: A classroom pilot study. International Journal of Emerging Technologies in Learning, 21(3), 30–43. https://doi.org/10.3991/ijet.v21i03.61437
  • Lin, M. P. C., Huang, J.-Y., Chang, D. H., Tembrevilla, G., Bowen, G. M., Poitras, E., Janarthanan, V., & Ryoo, J. (2026). Open-source large language models in education: A narrative review of evidence, pedagogical roles, and learning outcomes. AI in Education, 2(1), 4. https://doi.org/10.3390/aieduc2010004
  • 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

For additional publications and conference contributions, visit Dr. Lin’s research page: https://sites.google.com/view/drmichaelpin-chuanlin/research

Software Development Project

Dr. Lin leads the research and development of MetaMentorAI, an AI-supported platform for studying self-regulated learning. He collaborates with colleagues through the Artificial Intelligence in Education Lab (AIEDU Lab): https://www.aiedulab.ca

  • 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]