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dc.contributor.authorMaldonado Mahauad, Jorge Javier-
dc.date.accessioned2018-01-11T16:47:31Z-
dc.date.available2018-01-11T16:47:31Z-
dc.date.issued2016-04-25-
dc.identifier.isbn9781450337267-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84970028909&doi=10.1145%2f2876034.2893378&partnerID=40&md5=1c9f76306c66f5b4f55eaa0da521bd49-
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/29140-
dc.description.abstractMany 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.-
dc.language.isoen_US-
dc.publisherASSOCIATION FOR COMPUTING MACHINERY INC-
dc.sourceL@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale-
dc.subjectMassive Open Online Course-
dc.subjectSelf-Regulated Learning-
dc.titleRecommending self-regulated learning strategies does not improve performance in a MOOC-
dc.typeArticle-
dc.description.cityEdinburgh-
dc.ucuenca.idautor1102959051-
dc.identifier.doi10.1145/2876034.2893378-
dc.ucuenca.embargoend2022-01-01 0:00-
dc.ucuenca.afiliacionmaldonado, j.j., pontificia u. católica de chile, universidad de cuenca, ecuador-
dc.ucuenca.indicebibliograficoSCOPUS-
dc.ucuenca.numerocitaciones7-
dc.ucuenca.nombrerevista3rd Annual ACM Conference on Learning at Scale L@S 2016-
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