AIEDU Lab is an interdisciplinary research group focused on AI in education, learning sciences, educational technology, learning analytics, and inclusive learning design. Our team brings together researchers, collaborators, students, and technical support members working across education, computer science, language learning, and digital learning environments.
Lab Leader
Dr. Daniel Chang
Lab Leader, AIEDU Lab
Assistant Professor, Faculty of Humanities and Social Sciences, Athabasca University
Dr. Daniel Chang is the Lab Leader of AIEDU Lab. His teaching and research focus on the ethical and pedagogical integration of AI in postsecondary education, with particular interest in self-regulated learning, metacognition, and inclusive teaching practices.
Research Team
Dr. Michael Lin
Assistant Professor, Faculty of Education, Mount Saint Vincent University
Dr. Michael Lin is a university educator and interdisciplinary researcher in educational technology and learning design. His research examines how emerging technologies, particularly GenAI, can support teaching and learning in K–12 and postsecondary contexts, with interests in personalized learning, learning analytics, chatbot-assisted learning, and self-regulated learning.
Dr. Jeeho Ryoo
Assistant Professor, Olson College of Engineering and Science, Fairleigh Dickinson University
Dr. Jeeho Ryoo leads the Computer Systems Laboratory at FDU-Vancouver. His research spans computer systems, computer architecture, operating systems, and GenAI in computer science education, including the development and classroom deployment of learning technologies.
Dr. Marco Ho
Faculty, School of Computing and Academic Studies, British Columbia Institute of Technology
Dr. Marco Ho is an educator in engineering and computing. He strives to integrate emerging technologies with evidence-based pedagogical practices to make learning engaging, relevant, and future-focused.
Research Collaborators
Dr. Angel M. Y. Lin
Chair Professor, Department of English Language Education, The Education University of Hong Kong
Dr. Angel M. Y. Lin is a leading scholar in English language education and critical literacies. Her research spans translanguaging, trans-semiotising, content and language integrated learning, decoloniality, and critical media literacies, with extensive contributions to classroom-based research and graduate mentorship.
Dr. Qinghua Chen
Postdoctoral Fellow, Department of English Language Education, The Education University of Hong Kong
Dr. Qinghua Chen’s research focuses on subjectivity, emotions, and identities among pre-service teachers and English language learners, particularly in multicultural and multilingual teaching and learning contexts.
Dr. Vivien Lin
Associate Professor, National Changhua University of Education
Dr. Vivien Lin specializes in technology-enhanced language learning, academic writing among English language learners, and interdisciplinary research involving AR, VR, educational robots, pedagogical AI agents, and digital learning games.
Dr. Yu-Feng Lan
Associate Professor and Department Chair, Information Management, National Formosa University
Dr. Yu-Feng Lan’s work focuses on integrating information technology into education. His expertise includes digital learning strategies, programming, algorithms, and web programming, with contributions to both research and educational practice.
Student Researchers
Alex Jing-Yuan Huang
PhD Student, Educational Technology and Learning Design, Simon Fraser University
Alex Jing-Yuan Huang’s research focuses on data-driven approaches to understanding the impacts of AI in education through text mining and quantitative analysis. He is interested in how AI and learning analytics can inform educational design and reveal students’ learning experiences.
AIEDU Lab welcomes student researchers interested in GenAI in education, learning analytics, self-regulated learning, educational technology, and AI-supported learning design. To inquire about paid or volunteer opportunities, please contact [email protected] with a CV or resume and a brief statement of interest.
Technical Support
Mr. Jeff Gao
Lab Technician
Mr. Jeff Gao provides technical support for the lab’s day-to-day operations, digital infrastructure, and research initiatives.