Michael Pin-Chuan Lin

According to our database, Michael Pin-Chuan Lin authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the Generative Systems and Intelligent Tutoring Systems, 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

Proceedings of the Generative Systems and Intelligent Tutoring Systems, 2025

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

Proceedings of the IEEE Global Engineering Education Conference, 2025

2024

Preliminary Systematic Review of Open-Source Large Language Models in Education.

Michael Pin-Chuan Lin, Daniel Chang, Sarah Hall, Gaganpreet Jhajj

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

Exploring Inclusivity in AI Education: Perceptions and Pathways for Diverse Learners.

Michael Pin-Chuan Lin, Daniel Chang

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

Educational Knowledge Graph Creation and Augmentation via LLMs.

Gaganpreet Jhajj, Xiaokun Zhang, Jerry Ryan Gustafson, Fuhua Lin, Michael Pin-Chuan Lin

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

2023

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

2020

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

2019

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., July, 2019