The Role of Behavioral Intention in AI Adoption and Student Success in Higher Education Institutions: A UTAUT2 Perspective

Abstract

This study examines the adoption of Artificial Intelligence (AI) tools in higher education, focusing on the factors influencing their acceptance through the UTAUT2 framework. AI technologies such as intelligent tutoring systems, virtual assistants, and chatbots are being implemented in universities to address challenges like high class sizes, limited academic resources, and the need for personalized academic support. The study investigates the impact of constructs including Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), Social Influence (SI), Habit (HT), Price Value (PV), Perceived Enjoyment (PE), and Behavioral Intention (BI) on the adoption of AI tools by university students and their academic success. Data was collected from 324 students through web surveys and paper questionnaires, assessing their experiences with AI tools. Results indicate that Habit (HT), Price Value (PV), and Effort Expectancy (EE) positively affect students’ Behavioral Intention (BI) to use AI tools, which in turn leads to enhanced academic performance and success. The study also emphasizes the role of institutional support, peer influence, and access to resources in fostering AI adoption. Additionally, it highlights the challenges faced by students in developing countries, such as limited digital access and infrastructure. The research provides valuable insights for policymakers and educators seeking to integrate AI tools into educational environments, particularly in developing regions. The study underscores the positive correlation between AI adoption and student success, offering recommendations to promote the effective use of AI technologies in higher education systems.