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Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review.

, , , , and . IEEE Trans. Learn. Technol., 15 (4): 508-522 (2022)

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Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses., , and . Comput. Educ., (2017)Large scale analytics of global and regional MOOC providers: Differences in learners’ demographics, preferences, and perceptions, , , , , , , , , and 5 other author(s). Computers & Education, (2022)4SPPIces: A case study of factors in a scripted collaborative-learning blended course across spatial locations., , , and . Int. J. Comput. Support. Collab. Learn., 7 (3): 443-465 (2012)Detection of Learning Strategies: A Comparison of Process, Sequence and Network Analytic Approaches., , , , , , and . EC-TEL, volume 11722 of Lecture Notes in Computer Science, page 525-540. Springer, (2019)Unsupervised Automatic Detection of Learners' Programming Behavior., , and . EC-TEL, volume 11722 of Lecture Notes in Computer Science, page 69-82. Springer, (2019)NoteMyProgress: A Tool to Support Learners' Self-Regulated Learning Strategies in MOOC Environments., , , and . EC-TEL, volume 10474 of Lecture Notes in Computer Science, page 460-466. Springer, (2017)Evaluating Usage of an Analytics Tool to Support Continuous Curriculum Improvement., , , and . EC-TEL (Practitioner Proceedings), volume 2437 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Large scale analytics of global and regional MOOC providers: Differences in learners' demographics, preferences, and perceptions., , , , , , , , , and 5 other author(s). Comput. Educ., (2022)Modeling the Computing Based Testing domain extending IMS QTI: Framework, models and exemplary implementations., , , and . Comput. Hum. Behav., 28 (5): 1648-1662 (2012)Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses., , , , and . Comput. Hum. Behav., (2018)