Undergraduate students’ perspectives of generative AI ethics

Abstract The prevalence of ChatGPT uses in higher education prompted instructors to apply AI ethics to their classroom, which are moral standards of AI uses. Yet, as a primary group of AI users, undergraduates’ perspectives have rarely been explored to help instructors integrate AI ethics into the classroom. Using a mixed-method approach, this study explored 110 undergraduate students’ agreement levels on five AI ethics from a previous study, the factors influencing their agreement levels, and the rationales explaining their choices. The study showed that undergraduate students agreed with “autonomy” most and “justice” least; gender and grade level could predict their agreement levels; moreover, 14 themes were discovered regarding students’ rationales. Its results enlighten instructors to highlight public interests, consider students’ diversity, develop specific guidelines, and facilitate attitudinal changes in the process of applying instructions about AI ethics.

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Publication Details

Journal
International Journal of Educational Technology in Higher Education
Published
2025-06-08
DOI
https://doi.org/10.1186/s41239-025-00533-1
Citations
10
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
23.66
Controls
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article

Undergraduate students’ perspectives of generative AI ethics

Min Huang, Tianxiao Yang, Moon‐Heum Cho, Jongpil Cheon et al.
10 citations
International Journal of Educational Technology in Higher Education
Ethics and Social Impacts of AI
23.66
article

Undergraduate students’ perspectives of generative AI ethics

Min Huang, Tianxiao Yang, Moon‐Heum Cho, Jongpil Cheon, Naydu Cusson
article en
10 citations

Abstract

Abstract The prevalence of ChatGPT uses in higher education prompted instructors to apply AI ethics to their classroom, which are moral standards of AI uses. Yet, as a primary group of AI users, undergraduates’ perspectives have rarely been explored to help instructors integrate AI ethics into the classroom. Using a mixed-method approach, this study explored 110 undergraduate students’ agreement levels on five AI ethics from a previous study, the factors influencing their agreement levels, and the rationales explaining their choices. The study showed that undergraduate students agreed with “autonomy” most and “justice” least; gender and grade level could predict their agreement levels; moreover, 14 themes were discovered regarding students’ rationales. Its results enlighten instructors to highlight public interests, consider students’ diversity, develop specific guidelines, and facilitate attitudinal changes in the process of applying instructions about AI ethics.

International Journal of Educational Technology in Higher EducationVol. 22(1)
Texas Tech University (US), Syracuse University (US)
Openalex Percentile: Top 1%
Ethics and Social Impacts of AI
23.66
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