Research Grants & Publications

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Book Chapter & Journal Papers:

1. 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]

2. 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]

3. 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) 

4. 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]

5. 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]

6. 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]

7. 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]

8. 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]

Conference Proceedings:

1. 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]

2. 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]

3. 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]

4. Wang, Q. Q., Chang, D. H., Hajian, S., & Lin, M. P. C. (2024). What do Post-secondary Students Think about ChatGPT? An Exploratory Study. American Educational Research Association, Philadelphia, Pennsyvania.

5. 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). 

6. 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.

7. 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)

8. 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.

9. 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.

10. 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]

11. 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]

12. 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]

Talk:

1. Lin, M. P. C. (2024, April 30). Using Generative AI in Education Classes. MSVU Celebration of Teaching and Learning, Halifax, Nova Scotia, Canada

2. Lin, M. P. C. (2021, August 19). HyFlex Learning. Geekapalooza 2021, Medicine Hat College, Medicine Hat, Alberta, Canada. https://youtu.be/MLpDaUHuaaM