THE PREDICTIVE INFLUENCE OF CHATGPT USE ON UNDERGRADUATE STUDENTS’ ACADEMIC ENGAGEMENT AND MOTIVATION: A CATEGORICAL DATA ANALYSIS

Abstract

Nowadays the use of the most prevalent tool of artificial intelligence, ChatGPT, makes the online learning environments more interesting, interactive, collaborative, and personalized. It helps to bridge the educational gap between educators and students by providing more advanced academic knowledge and instant feedback. Therefore, the main objective of the study is to explore the use of ChatGPT as a predictor of undergraduate students’ engagement and motivation. The study utilized the quantitative research approach. The population of the study consisted of all undergraduate students of private and public-sector universities in Karachi. The sample of 400 students was obtained through the snowball and purposive sampling design. A questionnaire was constructed to assemble data and analyzed it through IBM SPSS (v. 22) software. The major findings of the study recognised ChatGPT as a good predictor of students’ educational engagement and motivation. Based on this fact, the study suggested that educators, politicians, and educational practitioners should integrate the AI-based curriculum and provide technology to all departments within the higher education system. It would help to ensure equity among students. Hence, every student has access to digital literacy by taking the ethical considerations. Moreover, hybrid learning makes learning settings more resourceful and engaging. Policymakers should also arrange workshops for lecturers for cognizance of AI technology that might benefit university students with their online learning.