自适应和智能mooc:它们如何促进mooc有效性的提高

Alexandros Papadimitriou
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引用次数: 2

摘要

一些传统的mooc已经开发利用特定的传统方法进行远程学习。本文的主要目的是考察大量关于提供自适应和智能mooc的研究,以解决诸如辍学率等问题,从而提高其与传统mooc相比的效率。对辍学率、完成率、孤独感等近年来MOOC学者关注的重要问题进行了研究。最后,讨论了自适应和智能mooc的有效性、学习者用于适应的特征、所使用的自适应和智能方法和技术,以及它们对传统mooc的改进,作为未来几年设计自适应和智能mooc的指南针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive and Intelligent MOOCs: How they Contribute to the Improvement of the MOOCs’ Effectiveness
Several traditional MOOCs have been developed utilizing particular traditional approaches for distance learning. The main objective of this article is to examine numerous studies and research about the provision of adaptive and intelligent MOOCs to address issues, such as dropout rate, for improving their efficiency compared to conventional MOOCs. Important issues that have been the essential study interests of MOOC scholars in recent years, including dropout rate, completion rate, loneliness, and other topics, were studied. Finally, the research questions posed on the effectiveness of Adaptive and Intelligent MOOCs, the learner’s characteristics used for adaptation, the adaptive and intelligent methods and techniques used, and the improvements they bring to traditional MOOCs as a compass for designing Adaptive and Intelligent MOOCs in the coming years, are discussed.
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