E-Learning through an Adaptive cMOOC: Is it Worthy of Further Research?

Soumaya El Emrani; Manuel Palomo-Duarte; José Miguel Mota; Juan Manuel Dodero

doi:10.4108/eetsis.v9i6.2713

Authors

Soumaya El Emrani Abdelmalek Essaâdi University
Manuel Palomo-Duarte University of Cádiz
José Miguel Mota University of Cádiz
Juan Manuel Dodero University of Cádiz

DOI:

https://doi.org/10.4108/eetsis.v9i6.2713

Keywords:

cMOOC, adaptive MOOC, machine learning, intelligent system, systematic literature review, covid-19

Abstract

This paper describes the types of MOOC considered by researchers, and highlights the latter’s focus on Connectivist MOOC. In addition, it analyses MOOC methodologies, and learners’ interest in MOOC based on the concepts of adaptability, connectivism, and socio-constructivism. This is to address the high dropout rate issue on MOOC platforms. The main objective of this work is to review the empirical results reported in these studies. To reach this goal, a Systematic Literature Review of 798 papers was carried out from 2013 until April 2021, where 446 papers were selected as primary studies. The results obtained from the classification and the analysis of the collected data confirmed the importance of continuing research in the field. Based on the concepts of socio-constructivism and adaptability, the objective is to provide an adaptive cMOOC for the profile and the needs of each learner; blending learning styles and pedagogical models with machine learning technologies.

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