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Título : Recommending self-regulated learning strategies does not improve performance in a MOOC
Autor: Maldonado Mahauad, Jorge Javier
Nombre de Revista: 3rd Annual ACM Conference on Learning at Scale L@S 2016
Palabras clave : Massive Open Online Course
Self-Regulated Learning
Fecha de publicación : 25-abr-2016
Fecha de fin de embargo: 1-ene-2022
Fuente: L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
metadata.dc.identifier.doi: 10.1145/2876034.2893378
Editor: ASSOCIATION FOR COMPUTING MACHINERY INC
Ciudad: 
Edinburgh
Tipo: Article
Abstract: 
Many committed learners struggle to achieve their goal of completing a Massive Open Online Course (MOOC). This work investigates self-regulated learning (SRL) in MOOCs and tests if encouraging the use of SRL strategies can improve course performance. We asked 17 highly successful learners about their strategies for how to succeed in a MOOC. Their responses were coded based on a SRL framework and synthesized into seven recommendations. In a randomized experiment, we evaluated the effect of providing the recommendations to learners in the same course (N = 653). Although most learners rated the study tips as very helpful, the intervention did not improve course persistence or achievement. Results suggest that a single SRL prompt at the beginning of the course provides insufficient support. Instead, embedding technological AIDS that adaptively support SRL throughout the course could better support learners in MOOCs.
URI : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84970028909&doi=10.1145%2f2876034.2893378&partnerID=40&md5=1c9f76306c66f5b4f55eaa0da521bd49
http://dspace.ucuenca.edu.ec/handle/123456789/29140
ISBN : 9781450337267
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