Xiaojuan Wu; Haiying Qin

doi:10.70711/aitr.v2i11.7421

A Survey-Based Study on How Personality Traits Impact College Students Adoption of AI Writing Tools

Xiaojuan Wu, Haiying Qin

Abstract

This study examines the impact of personality traits on college students adoption of AI writing tools using a comprehensive surveybased approach. Drawing upon the Big Five Personality Theory (BFPT), Technology Acceptance Model (TAM), and Uses and Gratifications
Theory (UGT), we examined the complex relationship between personality dimensions and AI tool usage patterns among 200 university
students from diverse academic backgrounds. The research employed validated psychometric instruments and statistical analyses to identify
significant predictors of technology adoption behavior. Results indicate that openness to experience and conscientiousness significantly predict AI writing tool adoption rates and usage satisfaction, while neuroticism demonstrates a negative correlation with adoption likelihood.
Specifically, students scoring high on openness showed 73% higher adoption rates compared to those with low openness scores. The study
also revealed that perceived usefulness and ease of use mediate the relationship between personality traits and actual usage behavior. These
findings provide crucial insights for educational institutions developing AI integration policies, technology developers designing user-centered
interfaces, and researchers investigating human-computer interaction in educational contexts. The research contributes to the growing body of
literature on individual differences in technology adoption and offers practical implications for optimizing AI tool implementation in higher
education settings.

Keywords

Ai Writing Tools; Personality Traits; Technology Adoption; College Students; Big Five Model; Educational Technology

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References

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DOI: http://dx.doi.org/10.70711/aitr.v2i11.7421

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