How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students
This research addresses the problem of tailoring AI integration in education for high school students, though it is incremental as it applies existing methods to new data.
The study investigated how Mexican high school students with varying motivational profiles use generative AI tools in math and writing, finding distinct usage patterns across three profiles identified from survey data of 6,793 students.
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.