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

IF 1.1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS EAI Endorsed Transactions on Scalable Information Systems Pub Date : 2022-09-20 DOI:10.4108/eetsis.v9i6.2713
Soumaya El Emrani, M. Palomo-duarte, José Miguel Mota, J. Dodero
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引用次数: 3

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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基于自适应cMOOC的网络学习:是否值得进一步研究?
本文描述了研究者考虑的MOOC类型,并强调了后者对连接主义MOOC的关注。此外,本文还基于适应性、连接主义和社会建构主义的概念分析了MOOC的方法论以及学习者对MOOC的兴趣。这是为了解决MOOC平台的高辍学率问题。本工作的主要目的是回顾这些研究报告的实证结果。为了实现这一目标,从2013年到2021年4月,对798篇论文进行了系统文献综述,其中446篇论文被选为主要研究。对收集到的数据进行分类和分析得到的结果证实了在该领域继续研究的重要性。基于社会建构主义和适应性的概念,目标是根据每个学习者的特点和需求提供适应性的cMOOC;将学习风格和教学模式与机器学习技术相结合。
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来源期刊
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.80
自引率
15.40%
发文量
49
审稿时长
10 weeks
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