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).
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).
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.
Inhaltsangabe
1. Online Learning Needs Learning Analytics 2. Traditional Learner Interaction Research in Online Learning 3. LMS Log Data Presenting Interaction Traces 4. Interaction Research with Learning Analytics 5. Massive Private Open Courses 6. Research Design of a MPOCs Case 7. Results and Discussion based on the Case 8. Reflection and Consideration
1. Online Learning Needs Learning Analytics 2. Traditional Learner Interaction Research in Online Learning 3. LMS Log Data Presenting Interaction Traces 4. Interaction Research with Learning Analytics 5. Massive Private Open Courses 6. Research Design of a MPOCs Case 7. Results and Discussion based on the Case 8. Reflection and Consideration
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