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August 8, 2025International Journal of Innovative Research and Scientific Studies

Artificial intelligence and student learning in higher education: An integrated bibliometric and experimental investigation

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Authors

YZYin-feng ZhangMAMelissa Ng Lee Yen Abdullah

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Overview

Bibliometric analysis shows the role of AI in student learning, highlighting benefits of AI-generated feedback.

Key Points

  • Students receiving AI-supported feedback performed better overall, particularly lower performers, indicating effective learning enhancement.
  • Bibliometric analysis, utilizing Scopus data from 2000 to 2024, identified key research themes and trends relevant to AI in education.
  • An experimental study evaluated ChatGPT's effectiveness as a formative assessment tool compared to traditional human assessments.
  • AI feedback exhibited consistency with human grading, though slight variances were noted in writing style and clarity evaluations.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68af799f7567bf4f94ff142dhttps://doi.org/10.53894/ijirss.v8i5.9205
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial intelligence in higher education learning: transferable skills and academic integrity2025 · 3 citations
  2. 2The Impact of Artificial Intelligence on Teaching and Learning – A Look into ChatGPT and the Future of Sustainable Assessments in Industrial Engineering2025 · 1 citations
  3. 3A Comprehensive Review of ChatGPT in Teaching and Learning Within Higher Education2025 · 8 citations
  4. 4Higher Education in the Age of AI: Chatgpt’s Impact on Students’ Academic Activities2025
  5. 5Enhancing feedback personalisation with AI-generated analytics2025 · 2 citations