Artificial intelligence in higher education: A Systematic Review and Bibliometric Analysis

This paper provides a comprehensive systematic review and bibliometric analysis of the integration of artificial intelligence (AI) in higher education. By analyzing key trends, thematic clusters, and influential research contributions, this study offers valuable insights into how AI is shaping teaching practices, learning experiences, and institutional strategies. The findings aim to support educators, researchers, and policymakers in understanding the evolving landscape of AI in higher education and identifying future research directions.

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/ahefu
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in higher education: A Systematic Review and Bibliometric Analysis

OSF Preprints (OSF Preprints)
Online Learning and Analytics
article

Artificial intelligence in higher education: A Systematic Review and Bibliometric Analysis

article en

Abstract

This paper provides a comprehensive systematic review and bibliometric analysis of the integration of artificial intelligence (AI) in higher education. By analyzing key trends, thematic clusters, and influential research contributions, this study offers valuable insights into how AI is shaping teaching practices, learning experiences, and institutional strategies. The findings aim to support educators, researchers, and policymakers in understanding the evolving landscape of AI in higher education and identifying future research directions.

OSF Preprints (OSF Preprints)
Quality Education
Openalex Percentile: Top 47%
Online Learning and Analytics
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