<p>This comparative study explores the determinants affecting universities students’ inclinations to adopt ChatGPT across India and Poland via the unified theory of acceptance and use of technology (UTAUT) model. The research employs a quantitative methodology by collecting data from 1074 students (528 from Poland and 546 from India) through a validated questionnaire. Through structural equation modeling (SEM), this study analyzes performance expectancy, effort expectancy, social influence on behavioral intention and the influence of facilitating conditions on use behavior. Additionally, gender and study level moderation has also been investigated. The results indicate that university level students’ intention to use ChatGPT across India and Poland is significantly influenced by performance expectancy, effort expectancy, and social influence, with different degrees of influence. Facilitating conditions significantly impact use behavior in Poland and India, with India having a stronger effect. In addition, behavioral intention significantly influences use behavior in both countries. Moreover, behavioral intentions were moderated by gender and study level in both countries. This research explains valuable insights on components influencing the adoption intentions of ChatGPT in higher education across India and Poland.</p>

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Unlocking ChatGPT’s potential: a comparative study of student adoption intentions in higher education across India and Poland

  • Gaurav Chopra,
  • Preeti Bhaskar,
  • Ajay Purohit,
  • Artur Strzelecki

摘要

This comparative study explores the determinants affecting universities students’ inclinations to adopt ChatGPT across India and Poland via the unified theory of acceptance and use of technology (UTAUT) model. The research employs a quantitative methodology by collecting data from 1074 students (528 from Poland and 546 from India) through a validated questionnaire. Through structural equation modeling (SEM), this study analyzes performance expectancy, effort expectancy, social influence on behavioral intention and the influence of facilitating conditions on use behavior. Additionally, gender and study level moderation has also been investigated. The results indicate that university level students’ intention to use ChatGPT across India and Poland is significantly influenced by performance expectancy, effort expectancy, and social influence, with different degrees of influence. Facilitating conditions significantly impact use behavior in Poland and India, with India having a stronger effect. In addition, behavioral intention significantly influences use behavior in both countries. Moreover, behavioral intentions were moderated by gender and study level in both countries. This research explains valuable insights on components influencing the adoption intentions of ChatGPT in higher education across India and Poland.