nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning. - Philip H. Winne; Kenny Teng; Daniel Chang; Michael Pin-Chuan Lin; Zahia Marzouk; John C. Nesbit; Alexandra Patzak; Mladen Rakovic; Donya Samadi; Jovita M. Vytasek (J. Learn. Anal., 2019)

Enhancing Post-secondary Writers' Writing Skills with a Chatbot: A Mixed-Method Classroom Study. - Michael Pin-Chuan Lin; Daniel Chang (J. Educ. Technol. Soc., 2020)

CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning. - Michael Pin-Chuan Lin; Daniel Chang (Comput. Educ. Artif. Intell., 2023)

Educational Knowledge Graph Creation and Augmentation via LLMs. - Gaganpreet Jhajj; Xiaokun Zhang 003; Jerry Ryan Gustafson; Fuhua Lin 001; Michael Pin-Chuan Lin (ITS (2), 2024)

Exploring Inclusivity in AI Education: Perceptions and Pathways for Diverse Learners. - Michael Pin-Chuan Lin; Daniel Chang (ITS (2), 2024)

Preliminary Systematic Review of Open-Source Large Language Models in Education. - Michael Pin-Chuan Lin; Daniel Chang; Sarah Hall; Gaganpreet Jhajj (ITS (1), 2024)

Evaluating the Impact of Assistive AI Tools on Learning Outcomes and Ethical Considerations in Programming Education. - Seong Min Park; Marco Ho; Michael Pin-Chuan Lin; Jeeho Ryoo (EDUCON, 2025)

Neuromorphic Knowledge Representation: SNN-Based Relational Inference and Explainability in Knowledge Graphs. - Gaganpreet Jhajj; Jerry Ryan Gustafson; Raymond Morland; Carlos Enrique Gutierrez; Michael Pin-Chuan Lin; M. Ali Akber Dewan; Fuhua Lin 001 (ITS (2), 2025)

Mapping AI Tools in Education: A Topic Modeling Analysis of Cognitive, Metacognitive, and Affective Insights. - Michael Pin-Chuan Lin; Arita Li Liu; Saeed Saffari; Daniel Chang; Jeeho Ryoo (ITS (1), 2025)