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Heather Robinson; Whitney Kilgore; Maha Al-Freih – OTESSA Conference Proceedings, 2021
Researchers in the field of online learning have raised concerns over its lack of focus on the affective/emotional aspect of the online learning experience, despite a strong research base indicating the important role that emotions play in successful and effective learning (Ch'ng, 2019). Utilizing a phenomenological methodological approach, the…
Descriptors: Students, Teachers, Electronic Learning, Online Courses
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Xu, Jianzhong; Du, Jianxia; Fan, Xitao – Educational Technology & Society, 2015
The present study investigates empirical models of groupwork management in online collaborative learning environments, based on the data from 298 students (86 groups) in United States. Data revealed that, at the group level, groupwork management was positively associated with feedback and help seeking. Data further revealed that, at the individual…
Descriptors: Educational Environment, Online Courses, Electronic Learning, Teamwork
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Neji, Mahmoud; Ben Ammar, Mohamed – Electronic Journal of e-Learning, 2007
Based on facial expression (FE), this paper explores the possible use of the affective communication in virtual environments (VEs). The attention of affective communication is examined and some research ideas for developing affective communication in virtual environments are proposed. We place an emphasis on communication between virtual entities,…
Descriptors: Electronic Learning, Cooperative Learning, Affective Behavior, Nonverbal Communication
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection