Global Trends of Educational Data Mining in Online Learning

IF 8.6 1区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

International Journal of Educational Technology in Higher Education Pub Date : 2023-10-23 DOI:10.46328/ijte.558

Nie Hui Ling, Chwen Jen Chen, Chee Siong Teh, Dexter Sigan John, Looi Chin Ch’ng, Yoon Fah Lay

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引用次数: 0

Abstract

Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. This study explored EDM in online learning publication trends and focuses. It involved a bibliometric analysis of 615 scholarly works related to EDM in online learning as recorded in Scopus, the largest peer-reviewed citation database, on February 1, 2023. The study examined EDM in online learning publications regarding its evolution and distribution, key focus areas, impact and performance, and prominent authors and collaborations in the last decade, in which the timespan is the period from 2012 to 2022. This bibliometric analysis shows that EDM in online learning is a dynamic area of scientific research as related publications grow steadily throughout the years and involve worldwide collaborations. The study reveals current research trends, offering valuable insights for future researchers to guide their investigations in this field.

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在线学习中教育数据挖掘的全球趋势

在线学习中的教育数据挖掘(EDM)涉及数据挖掘技术，用于分析来自在线环境的数据，以深入了解学生的行为、表现和参与度。本研究探讨EDM在线学习出版的趋势与焦点。它涉及到2023年2月1日在最大的同行评审引文数据库Scopus中记录的615篇与在线学习中EDM相关的学术著作的文献计量学分析。该研究调查了在线学习出版物中EDM的演变和分布、重点领域、影响和表现，以及过去十年(时间跨度为2012年至2022年)的杰出作者和合作。这一文献计量分析表明，在线学习中的EDM是一个动态的科学研究领域，相关出版物多年来稳步增长，并涉及全球合作。该研究揭示了当前的研究趋势，为未来的研究人员在该领域的研究提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Educational Technology in Higher Education 计算机科学-计算机科学应用

CiteScore

19.30

自引率

4.70%

发文量

审稿时长

76.7 days

期刊介绍： This journal seeks to foster the sharing of critical scholarly works and information exchange across diverse cultural perspectives in the fields of technology-enhanced and digital learning in higher education. It aims to advance scientific knowledge on the human and personal aspects of technology use in higher education, while keeping readers informed about the latest developments in applying digital technologies to learning, training, research, and management.