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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. 

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