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About Me
Christopher Ching-Yuan Yang received his Ph.D. degree from the Learning and Educational Technologies Research Unit and the Department of Social informatics, Kyoto University, Japan. His research interests include: Learning Analytics, Educational Data Mining, Machine Learning, and Personalized Learning. Specifically, he is an active researcher in applying learning analytics and educational data mining methodologies for improving the personalized learning experiences of learners in various education scenarios such as self-regulated learning, flipped learning, blended learning, and computer-assisted language learning.Â
Education
2012/09-2016/08: Bachelor of Electrical and Computer Engineering, Department of Electrical and Computer Engineering, Tamkang University, Taiwan.
2016/10-2017/03: Research student, Department of Intelligence Science and Technology, Kyushu University, Japan.
2017/04-2018/3: Research student, Department of Social Informatics, Kyoto University, Japan.
2018/04-2020/3: Master's program, Department of Social Informatics, Kyoto University, Japan.
2020/04-2023/3: Ph.D. program, Department of Social Informatics, Kyoto University, Japan.
Experiences
2019/04-2019/06: Office assistant, Academic Center of Computing and Media Studies, Kyoto University, Japan.
2019/12/-2020/02: Office assistant, Academic Center of Computing and Media Studies, Kyoto University, Japan.
Awards
IEEE ICALT 2021: Best Reviewer Award
Japan-Taiwan Exchange Association: Scholarship (2020.4~2023.3)
Academic Service
Program Committee
IEEE ICALT 2021: Big Data in Education and Learning Analytics (BDELA) Track, The 21th IEEE International Conference on Advanced Learning Technologies
IEEE ICALT 2021: Artificial Intelligence and Smart Learning Environments (AISLE) Track, The 21th IEEE International Conference on Advanced Learning Technologies
IEEE ICALT 2022: Big Data in Education and Learning Analytics (BDELA) Track, The 22th IEEE International Conference on Advanced Learning Technologies
IEEE ICALT 2022: Artificial Intelligence and Smart Learning Environments (AISLE) Track, The 22th IEEE International Conference on Advanced Learning Technologies
MetaACES 2022: The International Workshop on Metaverse and Artificial Companions in Education and Society.
ICCE 2022: LA@ICCE2022, the 9th ICCE Workshop on Learning Analytics (LA) Technologies & Practices for Evidence-based Education