Gender perceptions of generative AI in higher education

Purpose 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. Design/methodology/approach 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. Findings The results also indicated a range of topics and emotions towards generative AI in education, which were predominantly positive but also varied across male and female users. Originality/value 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.

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Publication Details

Journal
Journal of Applied Research in Higher Education
Published
2024-09-19
DOI
https://doi.org/10.1108/jarhe-02-2024-0109
Citations
7
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
5.53
Controls
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article

Gender perceptions of generative AI in higher education

Bronwen Swinnerton, Hosam Al‐Samarraie, Arunangsu Chatterjee, Samer Muthana Sarsam et al.
7 citations
Journal of Applied Research in Higher Education
Educational Games and Gamification
5.53
article

Gender perceptions of generative AI in higher education

Bronwen Swinnerton, Hosam Al‐Samarraie, Arunangsu Chatterjee, Samer Muthana Sarsam, Ahmed Ibrahim Alzahrani
article en
7 citations

Abstract

Purpose 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. Design/methodology/approach 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. Findings The results also indicated a range of topics and emotions towards generative AI in education, which were predominantly positive but also varied across male and female users. Originality/value 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.

Journal of Applied Research in Higher EducationVol. 17(5)
University of Leeds (GB), Universiti Sains Malaysia (MY), King Saud University (SA), Hospital Universiti Sains Malaysia (MY), Coventry University (GB)
Openalex Percentile: Top 4%
Educational Games and Gamification
5.53
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Gender perceptions of generative AI in higher education — Bronwen Swinnerton, Hosam Al‐Samarraie, et al. · Journal of Applied Research in Higher Education (2024) | TGRS Research Map | TGRS