Assistant Professor, Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taiwan
e-mail: sandy0692@gmail.com
Yun-Fang Tu received a Ph.D. in 2019 from the Graduate Institute of Digital Learning and Education at National Taiwan University of Science and Technology. Research interests include generative AI, digital learning, graphical analysis, digital storytelling, user information and learning behavior, behavioral intention analysis, educational data mining and learning analytics, information literacy, mobile learning strategies, visual analytics, bibliometrics, social network analysis, quantitative research, and digital library studies. To date, Tu has published more than 100+ academic papers, including over 85 articles in SSCI- or SCI-indexed journals. Tu also serves as a reviewer for several international journals, including Language Learning & Technology, Computers & Education, Interactive Learning Environments, Australasian Journal of Educational Technology, Educational Technology & Society, The Journal of Academic Librarianship, and The Electronic Library. In recognition of contributions to scholarly peer review, Tu received the Outstanding Reviewer Award from The Electronic Library in 2022.
Academic Service
Guest Editors, Special Issue on: “Artificial Intelligence-supported Adaptive and Self-regulated Learning in the Mobile Era.” International Journal of Mobile Learning and Organisation. (ESCI) (2024)
Guest Editors, Special Issue on: “Robotics-Facilitated Teaching and Learning: An Embodied Cognition and Multi-modal Perspective”. Educational Technology & Society (SSCI) (2025)
Guest Editors, Special Issue on: “Learning success mechanisms and adaptability in the AI era: from reactive to predictive and proactive learning”. Educational Psychology (SSCI) (2026) Critical Reviews in Analytical Chemistry
Co-Chair, C1 Learning Sciences & Computer-Supported Collaborative Learning, 27th Global Conference on Chinese Computer Education (GCCCE 2023)
Executive Chair, C1 Learning Sciences & Computer-Supported Collaborative Learning, 28th Global Conference on Chinese Computer Education (GCCCE 2024)
Co-Chair, C1 Learning Sciences & Computer-Supported Collaborative Learning, 29th Global Conference on Chinese Computer Education (GCCCE 2025)