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Gender perceptions of generative AI in higher education

  • Hosam Al-Samarraie
  • , Samer Sarsam
  • , Ahmed Ibrahim Alzahrani
  • , Arunangsu Chatterjee
  • , Bronwen J. Swinnerton
    • University of Leeds
    • King Saud University
    • Universiti Sains Malaysia

    Research output: Contribution to journalArticlepeer-review

    277 Downloads (Pure)

    Abstract

    This study explored the themes and sentiments of online learners regarding the use of Generative Artificial Intelligence (AI) or “generative AI” technology in higher education. English-language tweets were subjected to topic modelling and sentiment analysis. Three prevalent themes were identified and discussed: curriculum development opportunities, lifelong learning prospects, and challenges associated with generative AI use. The results also indicated a range of topics and emotions toward generative AI in education, which were predominantly positive but also varied across male and female users. The findings provide insights for educators, policymakers, and researchers on the opportunities and challenges associated with the integration of generative AI in educational settings. This includes the importance of identifying AI-supported learning and teaching practices that align with gender-specific preferences to offer a more inclusive and tailored approach to learning.
    Original languageEnglish
    Pages (from-to)1944-1958
    Number of pages15
    JournalJournal of Applied Research in Higher Education
    Volume17
    Issue number5
    Early online date23 Sept 2024
    DOIs
    Publication statusPublished - Oct 2025

    Bibliographical note

    This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

    Keywords

    • Gender
    • Higher Education
    • AI
    • Generative AI
    • Social Network Analysis

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