Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs

Author:

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

Funder

Erasmus+ Programme of the European Union

FEDER/Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación/project Smartlet

Madrid Regional Government

Ministerio de Ciencia, Innovación y Universidades, under an FPU fellowship

CONICYT/DOCTORADO NACIONAL 2016

Publisher

Elsevier BV

Subject

Education,General Computer Science

Reference53 articles.

1. Comments on the crusade against the causal efficacy of human thought;Bandura;Journal of Behavior Therapy and Experimental Psychiatry,1995

2. Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students;Boekaerts;Learning and Instruction,1997

3. Predicting the decrease of engagement indicators in a MOOC;Bote-Lorenzo,2017

4. Transfer learning for predictive models in massive open online courses;Boyer,2015

5. MOOC performance prediction via clickstream data and social learning networks;Brinton,2015

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