Subserved by ChatGPT: Exploring the Adoption of AI Tool for Academic Tasks among College and University Students

AbstractArtificial Intelligence based chatbots, such as ChatGPT, have significantly influenced students’ attitudes toward academic tasks, including projects, assignments, and presentations. This study examines the factors affecting students’ adoption of ChatGPT using the UTAUT model, incorporating additional constructs such as Habit, Privacy, and Trust. Responses were collected from 469 undergraduate and post-graduate students across various universities in India. Structural Equation Modelling (SEM) using Partial Least Squares (PLS) was employed for data analysis. The findings reveal that Performance Expectancy, Social Influence, Trust, and Privacy negatively impact students’ willingness to use ChatGPT, whereas Effort Expectancy and Habit significantly encourage its adoption. These insights will aid developers in refining ChatGPT’s interface to enhance user experience and mitigate its limitations.