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The study explores the limited adoption of Big Data in higher education despite its potential to improve decision-making and efficiency. A bibliometric analysis using Scopus data and VOSviewer examines 180 publications to map research trends, key contributors, and gaps. Findings indicate steady research growth, peaking in 2022 (32 publications), with a decline in 2018–2020, likely due to implementation challenges. COVID-19 accelerated research, emphasizing digital transformation. The U.S. (33) and China (30) lead contributions, followed by Malaysia, South Africa, and Australia. Journal articles (66) dominate, with Big Data, Students, and Data Analytics as primary themes. However, Teaching remains underexplored, revealing a research gap.

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Big Data in Higher Education: Adoption Through the Lens of Bibliometric Analysis

  • 章节

  • 发表日期：

    2026年

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  • Anber Shlash Mohammad,
  • Suleiman Ibrahim,
  • Asokan Vasudevan,
  • Khaleel Ibrahim Al-Daoud,
  • Sharmila Devi Ramachandaran,
  • Abdullah Mohammad,
  • Annie Wang Pei Ling,
  • Sam Toong Hai,
  • Muhamad Saufi Che Rusuli

摘要

The study explores the limited adoption of Big Data in higher education despite its potential to improve decision-making and efficiency. A bibliometric analysis using Scopus data and VOSviewer examines 180 publications to map research trends, key contributors, and gaps. Findings indicate steady research growth, peaking in 2022 (32 publications), with a decline in 2018–2020, likely due to implementation challenges. COVID-19 accelerated research, emphasizing digital transformation. The U.S. (33) and China (30) lead contributions, followed by Malaysia, South Africa, and Australia. Journal articles (66) dominate, with Big Data, Students, and Data Analytics as primary themes. However, Teaching remains underexplored, revealing a research gap.