E-Learning Using Artificial Intelligence Technologies: An Examination of Scientific Productions on web of since 2020 and 2024

DOI:10.4121/287b5e02-bca9-4be9-acde-1e20408717fb.v1
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DOI: 10.4121/287b5e02-bca9-4be9-acde-1e20408717fb

Datacite citation style

Alasmari, Manswr (2025): E-Learning Using Artificial Intelligence Technologies: An Examination of Scientific Productions on web of since 2020 and 2024. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/287b5e02-bca9-4be9-acde-1e20408717fb.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Collection

This study aims to deliver a panoramic, data driven overview of how Artificial Intelligence (AI) research has reshaped e learning in the wake of COVID 19. Using a Web of Science Core Collection query for the terms “E Learning” and “Artificial Intelligence,” we screened 9,280 records published between 2020 and 2024. Bibliometric techniques—specifically VOSviewer and Rayyan Systems—were then applied to quantify annual publication output, map international collaboration networks, and cluster frequently co occurring keywords.

History

  • 2025-07-19 first online, published, posted

Publisher

4TU.ResearchData

Organizations

University of Bisha

DATASETS