How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students

Computer Science > Computers and Society [Submitted on 26 Feb 2026] How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students Echo Zexuan Pan, Danny Glick, Ying Xu This study examined how high school students with different motivational profiles use generative AI tools in math and writing. Through K-means clustering analysis of survey data from 6,793 Mexican high school students, we identified three distinct motivational profiles based on self-concept and perceived subject value. Results revealed distinct domain-specific AI usage patterns across students with different motivational profiles. Our findings challenge one-size-fits-all AI integration approaches and advocate for motivationally-informed educational interventions. Comments: This submission has been accepted by the ICLS Conference at the ISLS Annual Meeting. It will be included as a poster in the 2026 conference proceedings Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) Cite as: arXiv:2603.19263 [cs.CY]   (or arXiv:2603.19263v1 [cs.CY] for this version)   https://doi.org/10.48550/arXiv.2603.19263 Focus to learn more Submission history From: Echo Zexuan Pan [view email] [v1] Thu, 26 Feb 2026 21:32:40 UTC (275 KB) Access Paper: view license Current browse context: cs.CY < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.AI cs.HC References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)