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1 Ergebnisse
1
How Much and for Whom? : A Multi-Wave Study of the Impac..:
, In:
Proceedings of the Ninth ACM Conference on Learning @ Scale
,
Hsu, Shu-Yi
;
Tutwiler, M. Shane
- p. 350-354 , 2022
Link:
https://dl.acm.org/doi/10.1145/3491140.3528312
RT T1 <cTitle>Proceedings of the Ninth ACM Conference on Learning @ Scale</cTitle>: T1 <Title>How Much and for Whom? : A Multi-Wave Study of the Impact of Self-Regulated Learning Scaffolds on MOOC Student Academic Performance</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3528312&Exemplar=1&LAN=DE A1 Hsu, Shu-Yi A1 Tutwiler, M. Shane PB ACM YR 2022 K1 bayesian regression K1 learning analytics K1 moocs K1 multilevel modeling K1 self-regulated learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning in probabilistic graphical models K1 Bayesian network models K1 Learning settings K1 Online learning settings SP 350 OP 354 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3491140.3528312 DO https://dl.acm.org/doi/10.1145/3491140.3528312 SF ELIB - SuUB Bremen
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