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

arXiv cs.AI / 3/23/2026

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Key Points

  • This study surveyed 6,793 Mexican high school students to examine how motivational profiles relate to the use of generative AI tools in math and writing.
  • Using K-means clustering, the researchers identified three distinct motivational profiles based on self-concept and perceived subject value.
  • The results show domain-specific AI usage patterns associated with different motivational profiles, indicating that students use AI differently in math versus writing.
  • The findings argue against one-size-fits-all AI integration in education and advocate for motivationally-informed interventions tailored to individual student profiles.

Abstract

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.