AI-DRIVEN STUDENT ENGAGEMENT STRATEGIES: EXPLORING THE POTENTIAL OF CHATGPT IN EDUCATION

Paper ID: EIJTEM_2026_13_2_117-126

Author's Name: Sreejaa G Nair, Bibin Thomas M, Soniya Syriac

Volume: 13

Issue: 2

Year: 2026

Page No: 117-126

Abstract:

The study explores the impact of user experience on student expectancy in Chat GPT, emphasizing the mediating role of student engagement. Targeting students in higher education in India, aged 18-30 years, the data was gathered from 234 participants through a structured questionnaire employing convenience sampling. The questionnaire comprised two sections: demographic profiles and variables such as Perceived Usefulness, Facilitating Conditions, Content & Navigation, Expectancy, and Student Engagement in the AI chat bot. Analysis revealed significant correlations among these variables, indicating that perceived usage, facilitating conditions, and content & navigation positively affect expectancy in Chat GPT. Regression analysis underscored the predictive influence of these factors on expectancy. In addition, student engagement was identified as a mediator in the relationship between user experience and expectancy. The study highlights the importance of enhancing user experience and engagement to boost students' expectations and satisfaction with the educational chat bot. Recommendations are for a collaborative effort by the key stakeholders in developing new functionalities within a supportive framework for responsible use, content creation and digital competency enhancement, while preserving the spirit of integrity, critical thinking and innovation among students. This research contributes to the expanding field of AI in education, providing valuable insights for developers, educators, and institutions aiming to optimize AI chat bots for better educational outcomes.

Keywords: AI Chat bots, User Experience, Student Engagement, Educational Technology, Expectancy in Chat GPT

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