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A decade of learning analytics: Structural topic modeling based bibliometric analysis

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Abstract

Learning analytics (LA) has become an increasingly active field focusing on leveraging learning process data to understand and improve teaching and learning. With the explosive growth in the number of studies concerning LA, it is significant to investigate its research status and trends, particularly the thematic structure. Based on 3900 LA articles published during the past decade, this study explores answers to questions such as “what research topics were the LA community interested in?” and “how did such research topics evolve?” by adopting structural topic modeling and bibliometrics. Major publication sources, countries/regions, institutions, and scientific collaborations were examined and visualized. Based on the analyses, we present suggestions for future LA research and discussions about important topics in the field. It is worth highlighting LA combining various innovative technologies (e.g., visual dashboards, neural networks, multimodal technologies, and open learner models) to support classroom orchestration, personalized recommendation/feedback, self-regulated learning in flipped classrooms, interaction in game-based and social learning. This work is useful in providing an overview of LA research, revealing the trends in LA practices, and suggesting future research directions.

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Authors and Affiliations

  1. Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, 10 Lo Ping Road, Tai Po, New Territories, Hong Kong

    Xieling Chen

  2. Department of English Language Education, The Education University of Hong Kong, Hong Kong SAR, 10 Lo Ping Road, Tai Po, New Territories, Hong Kong

    Di Zou

  3. Department of Computing and Decision Sciences, Lingnan University, Hong Kong SAR, Tuen Mun, New Territories, Hong Kong

    Haoran Xie

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  1. Xieling Chen
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  2. Di Zou
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Correspondence to Di Zou.

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Appendix

Appendix

Table 4 The most up-to-date reviews on LA
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Table 5 The comparison of the 16- and 17-topic models
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Table 6 Top publication sources ranked by H-index
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Table 7 Top countries/regions ranked by H-index
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Table 8 Top institutions ranked by H-index
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Table 9 Representative terms for each topics
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References for Appendix

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Chen, X., Zou, D. & Xie, H. A decade of learning analytics: Structural topic modeling based bibliometric analysis. Educ Inf Technol 27, 10517–10561 (2022). https://doi.org/10.1007/s10639-022-11046-z

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