Learner Interactions in Massive Private Online Courses (PDF)
(Sprache: Englisch)
By employing learning analytics methodology and big data in Learning Management Systems (LMSs), this volume conducts data-driven research to identify and compare learner interaction patterns in Massive Private Online Courses (MPOCs).
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By employing learning analytics methodology and big data in Learning Management Systems (LMSs), this volume conducts data-driven research to identify and compare learner interaction patterns in Massive Private Online Courses (MPOCs).
Autoren-Porträt von Di Sun, Gang Cheng
Di Sun is an associate professor of educational evaluation at Dalian University of Technology. She received her MS and Ph.D. degrees majoring in Educational Evaluation from Syracuse University. Her research interests include Learning Analytics, Educational Data Mining, and Educational Evaluation. Gang Cheng is an associate professor at The Open University of China, where he directs the Department of Learning Resource and Digital Library. His research interests include Resource and environment of digital learning, Learner support, and Learning Analytics.
Bibliographische Angaben
- Autoren: Di Sun , Gang Cheng
- 2022, 1. Auflage, 108 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000755819
- ISBN-13: 9781000755817
- Erscheinungsdatum: 11.08.2022
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- Dateiformat: PDF
- Grösse: 2.03 MB
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Englisch
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