Cheating in the second year of generative AI chatbots: a follow-up study on high school student cheating behaviors

Abstract This study examines the evolving relationship between AI chatbots and academic integrity and students’ AI chatbot usage in high schools one and a half years after the release of ChatGPT. Through a comprehensive survey of students across six schools (N = 4,354) in the United States, we investigated students' self-reported cheating behaviors, patterns of AI use across different school-related tasks, and student perspectives on appropriate AI use in academic settings. Our findings revealed that overall cheating rates remain stable at 72.06%, consistent with historical baselines and prior studies, suggesting that AI availability has not changed overall cheating prevalence in high school. Additionally, more students reported using AI chatbots for support tasks like concept explanation and idea generation. Regarding students' reported preferences for allowing AI chatbots for school-related tasks, at this point, they still strongly supported using AI for conceptual understanding and brainstorming, and they maintained clear boundaries against using it for completing entire assignments. These findings suggest that while AI’s prevalence has not altered the patterns of academic integrity at schools, students' evolving perspectives on appropriate AI use provide valuable insights for schools and administrators integrating AI into traditional school settings.

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Publication Details

Journal
Educational Technology Research and Development
Published
2026-02-03
DOI
https://doi.org/10.1007/s11423-026-10587-1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Cheating in the second year of generative AI chatbots: a follow-up study on high school student cheating behaviors

Annie Camey Kuo, Sarah Miles, Ruishi Chen, Denise Clark Pope et al.
Educational Technology Research and Development
Artificial Intelligence in Healthcare and Education
article

Cheating in the second year of generative AI chatbots: a follow-up study on high school student cheating behaviors

Annie Camey Kuo, Sarah Miles, Ruishi Chen, Denise Clark Pope, Victor R. Lee
article en

Abstract

Abstract This study examines the evolving relationship between AI chatbots and academic integrity and students’ AI chatbot usage in high schools one and a half years after the release of ChatGPT. Through a comprehensive survey of students across six schools (N = 4,354) in the United States, we investigated students' self-reported cheating behaviors, patterns of AI use across different school-related tasks, and student perspectives on appropriate AI use in academic settings. Our findings revealed that overall cheating rates remain stable at 72.06%, consistent with historical baselines and prior studies, suggesting that AI availability has not changed overall cheating prevalence in high school. Additionally, more students reported using AI chatbots for support tasks like concept explanation and idea generation. Regarding students' reported preferences for allowing AI chatbots for school-related tasks, at this point, they still strongly supported using AI for conceptual understanding and brainstorming, and they maintained clear boundaries against using it for completing entire assignments. These findings suggest that while AI’s prevalence has not altered the patterns of academic integrity at schools, students' evolving perspectives on appropriate AI use provide valuable insights for schools and administrators integrating AI into traditional school settings.

Educational Technology Research and Development
Stanford Health Care (US), Stanford University (US)
John Templeton Foundation
Quality Education
Openalex Percentile: Top 70%
Artificial Intelligence in Healthcare and Education
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