Examining the Impact of AI based Chatbots on Academic Self-Efficacy and Self-Regulation among University Students

Abstract

The present study aimed to investigate the impact of Artificial Intelligence (AI) Chatbots on academic self-efficacy and self-regulation among university students. To test the moderating effect of self-regulation on the association between AI Chatbots and academic self-efficacy. In addition, the research aligns with highlighted social debates surrounding ethical quandaries surrounding AI adoption in education. Using purposive sampling technique data was collected from universities students (N = 350) based in Rawalpindi and Islamabad. Along with demographic information, data was collected on the measures of the Human-Computer Trust Scale, Academic Self-Efficacy Scale, and Short-Form Self-Regulation Questionnaire to assess study variables. Results showed that AI Chatbots and Self-Regulation positively predict academic self-efficacy. AI Chatbots help in growing educational technologies and provide the education sector and policymakers for enhancing the level of education by adding tools for performance.