My work examines how generative AI, learning analytics, and argument visualization can enhance learning and teaching, with emphases on self-regulated learning, personalized learning, and the ethical use of AI across K–12 and higher education.
Research Grants
Evolving Pedagogy: Integrating Generative AI into Teaching Practices
SSHRC Insight Development Grants (2024-2026) - $70,724
Principal Investigator: Dr. Michael Pin-Chuan Lin
Co-Investigators: Dr. Daniel Chang (SFU), Dr. Eric Poitras (Dalhousie University)
Collaborators: Dr. Oscar Lin (Athabasca University), Dr. Philip Winne (SFU)
Transforming Education: A Comprehensive Framework for Integrating AI Chatbots in Teaching and Learning
Mount Saint Vincent University New Scholar’s Grant (2023-2025) - $10,000
Principal Investigator: Dr. Michael Pin-Chuan Lin
Instrumentation for Gauging Computational Thinking in Elementary Grades
Mitacs and Classtop, Inc. (2019-2020) - Declined (approved by MITACS, but not funded due to collaborator’s withdrawal)
Principal Investigator: Dr. Philip Winne (SFU)
Co-Investigators: Dr. Michael Pin-Chuan Lin
Collaborators: Classtop, Inc.
My Google Scholar Profile: click me
Book Chapter & Journal Papers:
Bowen, G. M., Lin, M. P. C., Willison, A. (In-Press). Teaching Fundamentals of AI Using Bee-bot Floor. In Lynn Cohen (Ed.), Exploring the Potential of AI in Early Childhood: New Learning Experiences for Young Children. Routledge.
Bowen, G. M., Lin, M. P. C., & Royce, C. A. (In-Press). Supplementing AI “Curriculum” using Teachers-Pay-Teachers resources: What there is and what there isn’t. In S. Kadry (Ed.), Artificial Intelligence in education - Creating an equitable, creative, and effective learning environment. IntechOpen.
Poitras, E., Durai, J. P., Yunus Raida, N. Z., Sachdeva, J., Doucette, K., & Lin, M. P. C. (2026). Data-Informed Decision Making in Introductory Programming Instruction. In R. Dhakal, W. Davis, & K. Heske (Eds.), Fostering Educational Culture for Student Success (pp. 305-336). IGI Global Scientific Publishing. [Link]
Poitras, E., Crane, B., Dempsey, D., Bragg, T., Siegel, A., & Lin, M. P. C. (2024). Cognitive Apprenticeship and Artificial Intelligence Coding Assistants. In Chantelle Bosch, Leila Goosen, and Jacqueline Chetty (Eds.), Navigating Computer Science Education in the 21st Century. IGI Global. [Link]
Winne, P. H., Vytasek, J. M., Patzak, A., Rakovic, M., Marzouk, Z., Pakdaman-Savoji, A., Ram, I., Samadi, D., Lin, M. P. C., Liu, A., Liaqat, A., Nashaat, N., Mozaffari, Z., Stewart-Alonso, J., & Nesbit, J. C. (2017). Designs for learning analytics to support information problem solving. In J. Buder & F. W. Hesse (Eds.) Informational environments: Effects of use, effective designs (pp. 249-272). New York, NY: Springer. [Link]
Ballantyne, E., Lin, M. P. C., Chang, D. H., & Poitras, E. (In-Press). Bridging the Gap: Leveraging CHAT-ACTS for Equity and Access in AI-Driven Higher Education, Journal of Computing in Higher Education. (SSCI)
Hajian, S., Chang, D. H., Wang, Q. Q., & Lin, M. P. C. (2025). Motivational theories in action: A guide for teaching artificial intelligence prompts to support student learning motivation. International Journal of Instruction, 18(4), 601-626. (ESCI) [Link]
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 . (SSCI) [Link]
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. (SSCI) [Link]
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. (ESCI) [Link]
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. (SSCI) [Link]
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. (SSCI) [Link]
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. [Link]
Lan, Y. F., Lin, P. C., & Hung, C. L. (2012). An approach to encouraging and evaluating learner’s knowledge contribution in web-based collaborative learning. Journal of Educational Computing Research, 47(2), 107-135. (SSCI) [Link]
Lan, Y. F. & Lin, P. C. (2011). Evaluation and improvement of student’s question-posing ability in a web-based learning environment. Australasian Journal of Educational Technology, 27(4), 581-599. (SSCI) [Link]
Nguyen, J. C., Lin, M. P. C., & Chang, D. H. (2025). Navigating AI Literacy in Education: a Scoping Review of Generative AI’s Impact on Writing, Learning, and Policy. (Accepted in ACE2025).
Ho, M., Orr, C., Jeon, R., Lin, M. P. C., & Ryoo, J. AI Literacy Through a Project-Based Learning Course. (Accepted in IEEE SEGA 2025).
Lin, M. P. C., Lin, F., Lan, Y. F., & Ryoo, J. Perceiving Generative AI in Teacher Practice: A Design-Based Case Study in a Graduate Course. (Accepted in SEGA 2025).
Poitras, E., Durai, J. P. S., Boisvert, J., Doucette, K., Lin, M. P. C., Kryven, M., & Sampangi, R. Clustering and Profiling Student Study Behaviors and Interactions with an AI Coding Assistant. (Accepted in SEGA 2025)
Saffari S. & Lin, M. P. C. Repurposing Generative AI for Learning A Topic Modeling Approach Beyond EdTech. (Accepted in IEEE SEGA 2025).
Ryoo, J., Lin, M. P. C., He, W., Min, S., & Ho, M. WIP: Multi-Agent Artificial Intelligence Model to Enhance Self-Regulated Learning and Conceptual Understanding in Computer Science Education (Accepted in FIE 2025)
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.
Jhajj, G., Gustafson, J. R., Morland, R., Gutierrez, C. E., Lin, M. P. C., Dewan, M. A. A., & Lin, F. (2025). Neuromorphic Knowledge Representation: SNN-Based Relational Inference and Explainability in Knowledge Graphs. In S. Graf & A. Markos (Eds.), Generative Systems and Intelligent Tutoring Systems (pp. 159–165). Springer Nature Switzerland.
Poitras, E., Suresh Durai, J. P., Kryven, M., & Lin, M. P. C (2025). Spaced and Interleaved Programming Practice: The Role of Generative AI Tools, DUCTL2025 (Accepted).
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://doi.org/10.1109/EDUCON62633.2025.11016517
Chang, D. & Lin, M. P. C. (2025). Is Argument Visualization Effective? : Exploring the Use of Argument Visualization in Coaching Argumentation in Higher Education. The Eighteenth International Conference on e-Learning & Innovative Pedagogies. The Eighteenth International Conference on e-Learning & Innovative Pedagogies.
Saffari S., Lin, M. P. C., Lin, F., & Ryoo, J. (2025). Investigating Open-Source Large Language Models in Digital Pedagogies. The Eighteenth International Conference on e-Learning & Innovative Pedagogies.
Sarfo, J. A. & Lin, M. P. C. (2025). Assessing the Impact of Generative AI Integration on Student Learning and Educator Approaches in Higher Education. The Eighteenth International Conference on e-Learning & Innovative Pedagogies.
Lin, M. P. C. & Chang, D. (2024). Exploring Inclusivity in AI Education: Perceptions and Pathways for Diverse Learners. In A. Sifaleras & F. Lin (Eds.), Generative Intelligence and Intelligent Tutoring Systems (pp. 237–249). Springer Nature Switzerland. [Link]
Lin, M. P. C., Chang, D., Hall, S., & Jhajj, G. (2024). Preliminary Systematic Review of Open-Source Large Language Models in Education. In A. Sifaleras & F. Lin (Eds.), Generative Intelligence and Intelligent Tutoring Systems (pp. 68–77). Springer Nature Switzerland. [Link]
Jhajj, G., Zhang, X., Gustafson, J. R., Lin, F., & Lin, M. P. C. (2024). Educational Knowledge Graph Creation and Augmentation via LLMs. In A. Sifaleras & F. Lin (Eds.), Generative Intelligence and Intelligent Tutoring Systems (pp. 292–304). Springer Nature Switzerland. [Link]
Wang, Q. Q., Chang, D., Hajian, S., & Lin, M. P. C. (2024). What Do Postsecondary Students Think about ChatGPT? An Exploratory Study. AERA Online Paper Repository. [Link]
Chang, D. & Lin, M. P. C. (2021). Exploring common features of thesis statements in online writing resources. The Twelfth Annual Conference of the Canadian Association for the Study of Discourse and Writing-l’Association canadienne de rédactologie (CASDW-ACR).
Lin, M. P. C., Chang, D., & Winne, P. H. (2019). Student perception towards peer review activity guided by a chatbot. Technology and Teacher Education (TATE) pre-conference, Vancouver, BC.
Chang, D., Marzouk, Z., Nesbit, J. C., Rakovic, M., Samadi, D., Lin, M. P. C., Winne, P. H. (2018). Does engaging in peer review improve students' written work? A meta-analysis. American Psychological Association, San Francisco, California. (Best Poster Award, Division # 52 International Psychology)
Winne, P. H., Nesbit, J. C., Ram, I., Marzouk, Z., Vytasek, J., Samadi, D., Stewart-Alonso, J., Rakovic, M., Liaqat, A., Lin, M. P. C., Mozaffari, Z., & Savoji, A. (2017). Tracing metacognition by highlighting and tagging to predict recall and transfer. American Educational Research Association, San Antonio, TX.
Winne, P. H., Nesbit, J. C., Marzouk, Z., Mozaffari, Z., Pakdaman-Savoji, A., Lin, M. P. C., Rakovic, M., Ram, I., Samadi, D., Stewart-Alonso, J., Teng, K., Truscott, D., Vytasek, J., & Woloshen, S. (2016). nStudy: Software for gathering trace data about learning and generating learning analytics. American Psychological Association, Denver, Colorado.
Lan, Y. F. & Lin, P. C. (2010). A framework for development of a mobile learning based on webquest strategy. 2nd International Conference on Information and Multimedia Technology (pp. 274-277), Hong Kong, China. (EI) [Link]
Lan, Y. F. & Lin, P. C. (2010). An approach to evaluating question-posing ability in a web-based collaborative learning. Proceedings of the 18th International Conference on Computers in Education (pp. 64-70), Putrajaya, Malaysia. [Link]
Huang, J.Y., Huang, K.K., Tsang, P.E., Chung, P.H., Lin, P.C., & Hsu, Y.W. (2008). The Study of Implementing an On-Line Mobile Commerce Authentication for Cell Phones based on Short Message Service(SMS) and QR Code. 14th International Conference on Information Management & Practice (pp. 78-89), Taipei City, Taiwan. [Link]
Computer Software:
MetaMentorAI – Research and Development Collaboration (2025-Present)
Co-developers: Dr. Jeeho Ryoo (FDU), Dr. Philip Winne (SFU), Dr. Daniel Chang (SFU), Dr. Marco Ho (BCIT), Dazhi Yang (FDU)
Description: Building on the foundations of nStudy, MetaMentorAI integrates advanced AI-driven features to support self-regulated learning research. The platform incorporates metacognitive guidance, adaptive quizzes, and semantic knowledge graphs, providing a state-of-the-art environment for studying and enhancing learning processes.
DD Chatbot – Intelligent Writing Support System (2018-2020)
Co-developers: Dr. Daniel Chang (SFU), Dr. Philip Winne (SFU)
Description: Co-designed a chatbot using the RASA API to mentor students in writing argumentative outlines and delivering effective peer feedback. The system provided scaffolded prompts and adaptive feedback, improving students’ critical writing skills and peer review quality.
Talk:
Lin, M. P. C. (2025, May 1). From NPUST to a PhD Abroad: An Alumnus’s Academic and Career Journey (Invited Speaker). NPUST, Penghu, Taiwan.
Lin, M. P. C. (2024, April 30). Using Generative AI in Education Classes. MSVU Celebration of Teaching and Learning, Halifax, Nova Scotia, Canada
Lin, M. P. C. (2023, November 21). Navigating The Job Market: Insights & Experiences (Guest Speaker). SFU ETLD Doctoral Seminar - EDUC 931, Burnaby, BC, Canada.
Lin, M. P. C. (2021, August 19). HyFlex Learning. Geekapalooza 2021, Medicine Hat College, Medicine Hat, Alberta, Canada. https://youtu.be/MLpDaUHuaaM
Non-refereed publications:
1. Lin, M. P. C., Jhajj, G., Lin, F., Poitras, E., Chang, D., & Ryoo, J. (2025, September 11). Generative AI’s influence in computer science classrooms: A rapid review methodology [Preprint]. EdArXiv.https://doi.org/10.35542/osf.io/xfcek_v2
Current Students:
Gagan Jhajj, MSc IS, Athabasca University, Oct 2023 – Present
Jemima Sarfo, incoming MAEd student, MSVU, Sept 2024 – Present
Service:
2025 Co-General Chair: The 1st International Workshop on Smart Education in the Age of Generative AI (SEGA 2025) - IEEE Smart World Congress 2025
2025 IEEE Frontiers in Education Conference Reviewer
Chair of the ITS2025 Session 4 – Intelligent Tutoring Systems
2025 Program Committee: ITS2025: 21th International Conference on Intelligent Tutoring Systems
2024 July-Present. Reviewer of the International Journal of Artificial Intelligence in Education
2024 July-June 2027. Information Technology and Services Committee, MSVU
2024 Feb-May. Departmental Appointment Committee for Tenure-Track TESOL Faculty Hiring, MSVU
2024 Jan-Present. Reviewer of the International Journal of Human-Computer Interaction
2024 Program Committee: ITS2024: 20th International Conference on Intelligent Tutoring Systems
2023 Sept-Present. FA Equity Action Committee, MSVU
2023-Present. Reviewer of Innovation in Language Learning and Teaching
2021-Present. Reviewer of Journal of Educational Technology & Society
2022 April. External Committee for the departmental self-assessment reports at the Department of Information Management at National Formosa University
2021-2022 June. Consultant of chatbot development at Medicine Hat College
Graduate Examination Committees:
2025 July 3. Committee Member, Oral Thesis Defence for four Master’s students, Department of Information Management, National Formosa University:
Lin, Bo-Jun
Lin, Sheng-Feng
Lin, Yu-Wei
Guo, Yu-Xiang