E-learning and artificial intelligence with students’ perspective: a business sciences orientation backed bibliometric and systematic literature review

Authors

  • Imran Bashir Dar Foundation University Islamabad Author
  • Muhammad Ali Baig Research Scholar, Department of Graduate Studies, School of Management, Air University Islamabad, Pakistan Author
  • Muhammad Babar Shahzad Country Manager, Pakistan Currency Exchange, Islamabad, Pakistan Author

DOI:

https://doi.org/10.59263/x9zpcm15

Keywords:

E-learning, Artificial Intelligence, Machine Learning, Learning Systems, Recommendation Systems, MOOCs, personalised learning tools, student data mining, chatbots

Abstract

This systematic literature review and bibliometric analysis aimed to explore E-learning and Artificial Intelligence in terms of students while considering the articles available in business sciences. From 400 screened journal and conference papers, only 44 passed the eligibility and significant contribution and impact criteria of PRISMA.  VOS viewer was applied to the data of 44 papers for the Keyword Co-occurrence Map that projected the 6 themes and 39 constructs. The findings give the condensed literary sense of AI-backed e-learning for students by the research community of business sciences.

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Published

2025-07-09

Issue

Vol. 15 No. 1 (2025): GMJACS

Section

Articles