Generative AI chatbots in higher education: Student experiences and perceived ethical challenges

The integration of generative artificial intelligence (GAI) chatbots in higher education has introduced both opportunities and challenges for students’ academic practices. To date, most qualitative research has examined the implications of this phenomenon for teaching practices and the experiences of teachers. This explorative study investigates how students use GAI chatbots in their studies and how they evaluate AI generated text, particularly in relation to academic integrity, reliability, and ethical norms. Using a qualitative research approach, we conducted semi-structured interviews with higher education students to a) examine students’ experiences of using GAI chatbots in their academic studies, and b) to explore how students perceive the ethical impact of using chatbots on their studies. The findings reveal that while students use GAI chatbots to support writing, idea generation, and language improvement, they also face challenges related to plagiarism concerns, the reliability of AI-generated content, and the lack of clear institutional guidelines on responsible AI use. Additionally, the study highlights how students develop individual strategies to navigate these challenges, including seeking validation from educators and critically assessing AI-generated outputs. The findings emphasize the need for clearer academic policies and ethical frameworks to support students in making informed and responsible decisions about the use of GAI chatbots in higher education.

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Publication Details

Journal
Computers and Education Open
Published
2025-11-20
DOI
https://doi.org/10.1016/j.caeo.2025.100311
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

Generative AI chatbots in higher education: Student experiences and perceived ethical challenges

Katarina Sperling, Cormac McGrath, Neda Hadinejad
1 citations
Computers and Education Open
AI in Service Interactions
2.48
article

Generative AI chatbots in higher education: Student experiences and perceived ethical challenges

Katarina Sperling, Cormac McGrath, Neda Hadinejad
article en
1 citations

Abstract

The integration of generative artificial intelligence (GAI) chatbots in higher education has introduced both opportunities and challenges for students’ academic practices. To date, most qualitative research has examined the implications of this phenomenon for teaching practices and the experiences of teachers. This explorative study investigates how students use GAI chatbots in their studies and how they evaluate AI generated text, particularly in relation to academic integrity, reliability, and ethical norms. Using a qualitative research approach, we conducted semi-structured interviews with higher education students to a) examine students’ experiences of using GAI chatbots in their academic studies, and b) to explore how students perceive the ethical impact of using chatbots on their studies. The findings reveal that while students use GAI chatbots to support writing, idea generation, and language improvement, they also face challenges related to plagiarism concerns, the reliability of AI-generated content, and the lack of clear institutional guidelines on responsible AI use. Additionally, the study highlights how students develop individual strategies to navigate these challenges, including seeking validation from educators and critically assessing AI-generated outputs. The findings emphasize the need for clearer academic policies and ethical frameworks to support students in making informed and responsible decisions about the use of GAI chatbots in higher education.

Computers and Education OpenVol. 9
Stockholm University (SE), Swedish University of Agricultural Sciences (SE)
Openalex Percentile: Top 8%
AI in Service Interactions
2.48
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