Early prediction of MOOC dropout in self-paced students using deep learning

IF 3.7 3区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Interactive Learning Environments Pub Date : 2024-01-02 DOI:10.1080/10494820.2023.2300000

XIAO Wen, HU Juan

引用次数: 0

Abstract

To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC lear...

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利用深度学习提前预测自学学生的 MOOC 辍学情况

为了解决以往研究中发现的三个问题，本研究提出了一种基于聚类的MOOC辍学识别方法和一种基于深度学习的早期预测模型。MOOC学...

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来源期刊

Interactive Learning Environments EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

12.10

自引率

11.10%

发文量

249

期刊介绍： Founded in 1990, Interactive Learning Environments publishes peer-reviewed articles on all aspects of the design and use of interactive learning environments in the broadest sense, encompassing environments that support individual learners through to environments that support collaboration amongst groups of learners or co-workers. Relevant domains of application include education and training at all levels, life-long learning and knowledge sharing. Relevant topics for articles include: adaptive systems, learning theory, pedagogy and learning design, the electronically-enhanced classroom, computer mediated communications of all kinds, computer aided assessment, the design and use of virtual learning environments and learning management systems.