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

TL;DR

This large-scale survey of Mexican high school students explores how different motivational profiles influence their use of generative AI in math and writing, revealing domain-specific patterns.

Contribution

The study identifies distinct motivational profiles and their specific AI usage patterns, informing tailored educational interventions.

Findings

Different motivational profiles correlate with specific AI usage patterns.

Motivational factors influence students' engagement with AI tools in math and writing.

Results suggest the need for motivationally-informed AI integration strategies.

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.