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2020 – today
- 2024
[c2]Min-Jia Li, Shun-Ting Li, Albert C. M. Yang, Anna Y. Q. Huang, Stephen J. H. Yang:
Trustworthy and Explainable AI for Learning Analytics. LAK Workshops 2024: 3-12- [c1]Yi-Chun Hsieh, Albert C. M. Yang:
Enhancing Personalized Learning with MBTI Forecasts and ChatGPT's Tailored Study Advice. LAK Workshops 2024: 42-46 - [e1]Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents] - 2023
- [j3]Albert C. M. Yang
, Hiroaki Ogata:
Evaluation and modeling of students' persistence and wheel-spinning propensities in formative assessments. Smart Learn. Environ. 10(1): 63 (2023) - 2022
- [j2]Albert C. M. Yang, Irene Y. L. Chen, Brendan Flanagan, Hiroaki Ogata:
How students' self-assessment behavior affects their online learning performance. Comput. Educ. Artif. Intell. 3: 100058 (2022) - [j1]Albert C. M. Yang, Brendan Flanagan, Hiroaki Ogata:
Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning. Comput. Educ. Artif. Intell. 3: 100104 (2022)
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