AI and peer reviews in higher education: students’ multimodal views on benefits, differences and limitations

Since the launch of ChatGPT in November 2022, educational researchers and practitioners have sought to understand the ways in which these new generative AI technologies might influence education. This article describes one such effort. The focus of the investigation was chatbots responding from large language models to the review of open-ended student work. Specifically, the authors examined university students’ multimodal views of the benefits and limitations of AI reviews as compared to human feedback. The participants were postgraduate students in a public American university. The students’ opinions of their experiences with both types of reviews were expressed linguistically, visually and gesturally, and they were submitted to discursive and socio-semiotic analyses. The results revealed a preference for human reviews. Nevertheless, the participants also identified several benefits for AI feedback, as well as ways in which it had complemented human reviews, overwhelmingly welcoming its addition as part of their educational experience.

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Publication Details

Journal
Technology Pedagogy and Education
Published
2025-03-28
DOI
https://doi.org/10.1080/1475939x.2025.2480807
Citations
5
Primary Topic
Student Assessment and Feedback
Type
article
Field-Weighted Citation Impact
44.63
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article

AI and peer reviews in higher education: students’ multimodal views on benefits, differences and limitations

Akash K. Saini, Anastasia Olga Tzirides, Gabriela C. Zapata, Jennifer Whiting et al.
5 citations
Technology Pedagogy and Education
Student Assessment and Feedback
44.63
article

AI and peer reviews in higher education: students’ multimodal views on benefits, differences and limitations

Akash K. Saini, Anastasia Olga Tzirides, Gabriela C. Zapata, Jennifer Whiting, Rodrigo Abrantes da Silva, J Jones, Mary Kalantzis, Duane Searsmith, Bill Cope, Vania Castro, Nikoleta Polyxeni Kastania, Dora Kourkoulou
article en
5 citations

Abstract

Since the launch of ChatGPT in November 2022, educational researchers and practitioners have sought to understand the ways in which these new generative AI technologies might influence education. This article describes one such effort. The focus of the investigation was chatbots responding from large language models to the review of open-ended student work. Specifically, the authors examined university students’ multimodal views of the benefits and limitations of AI reviews as compared to human feedback. The participants were postgraduate students in a public American university. The students’ opinions of their experiences with both types of reviews were expressed linguistically, visually and gesturally, and they were submitted to discursive and socio-semiotic analyses. The results revealed a preference for human reviews. Nevertheless, the participants also identified several benefits for AI feedback, as well as ways in which it had complemented human reviews, overwhelmingly welcoming its addition as part of their educational experience.

Technology Pedagogy and EducationVol. 34(5)
University of Iowa (US), Iowa Department of Education (US), University of Nottingham (GB), University of Illinois Urbana-Champaign (US), Universidade de São Paulo (BR), University of Illinois Chicago (US), SUNY Cortland (US)
Openalex Percentile: Top 0%
Student Assessment and Feedback
44.63
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