斯科普斯
计算机科学
学习分析
数据科学
人工智能
分析
人工神经网络
随机森林
开放式研究
万维网
梅德林
政治学
法学
作者
Yue Guoqing,Mideth Abisado
标识
DOI:10.1109/icdate58146.2023.10248574
摘要
This study statistically analyzed the literature on MOOC learner behavior research based on artificial intelligence included in the Scopus database from 2020 to 2022, and systematically sorted out the current research status of MOOC learner behavior based on artificial intelligence. The scientific analysis clarified the research hotspots and development trends in online learning behavior. The research results show that the current MOOC learner behavior research is in the stage of gradual development; applying VOSviewer software to analyze the keyword co-occurrence mapping of the literature, the research in related fields over the years has mainly focused on machine learning technology, and the research direction has largely shifted from the traditional random forest to machine learning and deep learning. Based on Scopus and VOSviewer, the knowledge mapping analysis of literature research hotspots shows that the relevant research hotspots are mainly in the research of artificial neural networks. The results of the literature measurement analysis provide ideas and methods for further technical research on MOOC learner behavior.
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