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Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education

机译:使用结构性主题建模来检测过去四年中教育技术中的潜在主题和趋势:回顾所有计算机与教育

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摘要

Computers & Education has been leading the field of computers in education for over 40 years, during which time it has developed into a well-known journal with significant influences on the educational technology research community. Questions such as "in what research topics were the academic community of Computers & Education interested?" "how did such research topics evolve over time?" and "what were the main research concerns of its major contributors?" are important to both the editorial board and readership of Computers & Education. To address these issues, this paper conducted a structural topic modeling analysis of 3963 articles published in Computers & Education between 1976 and 2018 bibliometrically. A structural topic model was used to profile the research hotspots. By further exploring annual topic proportion trends and topic correlations, potential future research directions and inter-topic research areas were identified. The major research concerns of the publications in Computers & Education by prolific countries/regions were shown and compared. Thus, this work provided useful insights and implications, and it could be used as a guide for contributors to Computers & Education.
机译:Computers&Education在教育计算机领域一直处于领先地位40多年,在此期间,它已发展成为对教育技术研究界具有重大影响的知名期刊。诸如“计算机与教育学术界对哪些研究主题感兴趣”之类的问题? “随着时间的推移,这些研究主题是如何演变的?”以及“其主要贡献者主要关注哪些研究?”对于计算机与教育的编辑委员会和读者群都很重要。为了解决这些问题,本文以文献计量方式对1976年至2018年间在《计算机与教育》上发表的3963条文章进行了结构化主题建模分析。结构性主题模型用于描述研究热点。通过进一步探索年度主题比例趋势和主题相关性,确定了潜在的未来研究方向和主题间研究领域。展示并比较了多产国家/地区的计算机与教育出版物的主要研究关注点。因此,这项工作提供了有用的见解和启示,可以用作计算机和教育贡献者的指南。

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  • 来源
    《Computers & education》 |2020年第7期|103855.1-103855.21|共21页
  • 作者

  • 作者单位

    Educ Univ Hong Kong Dept Math & Informat Technol Tai Po 10 Lo Ping Rd Hong Kong Peoples R China;

    Educ Univ Hong Kong Dept English Language Educ Tai Po 10 Lo Ping Rd Hong Kong Peoples R China;

    Lingnan Univ Dept Comp & Decis Sci Tuen Mun 8 Castle Peak Rd Hong Kong Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Applications in subject areas; Data science applications in education;

    机译:学科领域的申请;数据科学在教育中的应用;
  • 入库时间 2022-08-18 05:21:12

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