How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911559330037760 |
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| author | Pan, Echo Zexuan Glick, Danny Xu, Ying |
| author_facet | Pan, Echo Zexuan Glick, Danny Xu, Ying |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_19263 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students Pan, Echo Zexuan Glick, Danny Xu, Ying Computers and Society Artificial Intelligence Human-Computer Interaction 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. |
| title | How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students |
| topic | Computers and Society Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2603.19263 |