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Design Variables For Self-Directed Learning In Mooc Environment, Tai Wang, Juhong Christie Liu, Tonggui Li
Design Variables For Self-Directed Learning In Mooc Environment, Tai Wang, Juhong Christie Liu, Tonggui Li
Journal of Educational Technology Development and Exchange (JETDE)
Massive Open Online Courses (MOOCs) can meet education needs from diverse social, cultural, and access backgrounds and require a minimal cost of resources from learners. To successfully scaffold large and distributed populations to learn effectively in these MOOCs, the design needs to optimize self-directed learning. In this paper, the researchers investigated the design variables for MOOCs' learning environment that allowed learning choices made by learners. With this study, the researchers developed a 21-item questionnaire based on a review of the literature and their MOOC design and implementation practices, Massive Online Open Course Learning Environment Design Questionnaire (MOOC-LED). The researchers used …
Effects Of Pre-Tests And Feedback On Performance Outcomes In Massive Open Online Courses:What Works And What Doesn’T?, Maria Janelli
Effects Of Pre-Tests And Feedback On Performance Outcomes In Massive Open Online Courses:What Works And What Doesn’T?, Maria Janelli
Dissertations, Theses, and Capstone Projects
This experimental study examined the effects of pre-tests and feedback on learning outcomes in a five-week massive open online course (MOOC). The participants (N = 399) were adults from around the world who self-enrolled in the American Museum of Natural History’s (AMNH) climate change MOOC (called Our Earth’s Future) offered on the Coursera platform. Participants were randomly assigned to one of four conditions. Learners in the first treatment group took pre-tests without receiving feedback. Learners in the second treatment group took pre-tests and received basic (correct/incorrect) feedback. Learners in the third treatment group took pre-tests and received elaborate feedback. The …