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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
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Wei, Xuefeng; Cheng, I-Ling; Chen, Nian-Shing; Yang, Xianmin; Liu, Yongbo; Dong, Yan; Zhai, Xuesong; Kinshuk – Educational Technology Research and Development, 2020
With advances in learning technologies, new pedagogical models are being developed to improve students' learning performance. One notable model is the flipped classroom, which has attracted the attention of many researchers, particularly in K-12 education. However, research on effective approaches for managing the flipped classroom model to…
Descriptors: Middle School Students, Educational Technology, Technology Uses in Education, Homework
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Hsiao, Kuei-Fang; Chen, Nian-Shing; Huang, Shih-Yu – Interactive Learning Environments, 2012
Because of a shortage of physical exercise, concerns about adolescents have recently been raised in Taiwan. In educational environments where student exercise has been limited by scheduling constraints and the lack of physical exercise has become a vital problem, "learning while exercising" may be part of a possible solution. This study…
Descriptors: Foreign Countries, Exercise, Science Achievement, Computer Assisted Instruction