Predicting Learners’ Success in a Self-paced MOOC Through Sequence Patterns of Self-regulated Learning-Reference-Cited by-同舟云学术

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Predicting Learners’ Success in a Self-paced MOOC Through Sequence Patterns of Self-regulated Learning

Published:2018 Issue: Volume: Page:355-369
ISSN:0302-9743
Container-title:Lifelong Technology-Enhanced Learning
language:
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Author:

Maldonado-Mahauad Jorge,Pérez-Sanagustín Mar,Moreno-Marcos Pedro Manuel,Alario-Hoyos Carlos,Muñoz-Merino Pedro J.,Delgado-Kloos Carlos

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-98572-5_27

Reference28 articles.

1. Van der Aalst, W.M.P.: Process mining: data science in action. Springer, Heidelberg (2016)

2. Bannert, M.: Promoting self-regulated learning through prompts. Zeitschrift für Pädagogische Psychol. 23(2), 139–145 (2009)

3. de Barba, P.G., et al.: The role of students’ motivation and participation in predicting performance in a MOOC. J. Comput. Assist. Learn. 32(3), 218–231 (2016)

4. Boekaerts, M.: Self-regulated learning: a new concept embraced by researchers, policy makers, educators, teachers, and students. Learn. Instr. 7(2), 161–186 (1997)

5. Brinton, C.G., et al.: Mining MOOC clickstreams: video-watching behavior vs. in-video quiz performance. IEEE Trans. Signal Process. 64(14), 3677–3692 (2016)

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