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

EAI Endorsed Transactions on Scalable Information Systems

article

Soumaya El Emrani¹  Manuel Palomo-Duarte²  José Miguel Mota²  Juan Manuel Dodero² 

[1] Abdelmalek Essaâdi University;University of Cádiz

关键词: cMOOC;    adaptive MOOC;    machine learning;    intelligent system;    systematic literature review;    covid-19;   

DOI  :  10.4108/eetsis.v9i6.2713

学科分类：社会科学、人文和艺术（综合）

来源: Bern Open Publishing

【 摘 要 】

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.

【 授权许可】

CC BY