ISSN: 2226-3624
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Artificial intelligence (AI) has emerged as a revolutionary influence within higher education, presenting substantial potential for educators. Through harnessing AI's capabilities, researchers acquire advanced tools for tasks such as data analysis, predicting trends, and generating innovative insights. This investigation undertakes a comprehensive exploration of the intricate relationships between attitude, perceived utility, trust, intention, and AI utilization in the academic sphere. The research framework encompasses three distinct variables: attitude, perceived usefulness, and trust. Intention functions as an intermediary among these factors, while usage stands as the dependent variable, reflecting the practical integration of AI in educational practices. To achieve a comprehensive perspective, primary data was meticulously gathered using a survey method informed by established research paradigms. Employing structural equation modeling on a robust dataset of 362 responses, intricate associations were analyzed to ensure a thorough evaluation. Via this rigorous methodology, the study not only substantiated the convergence and differentiation validity of the constructs but also corroborated hypotheses, revealing seven direct relationships and two mediating connections. These empirical discoveries underscore the central importance of attitude, perceived utility, and trust in shaping educators' intentions to adopt AI and subsequently employ it effectively within their teaching approaches. The theoretical implications stretch beyond immediate findings, emphasizing the foundational roles played by these elements in steering intentions and behaviors concerning AI usage. As the academic realm grapples with AI integration, this research provides actionable insights to guide policy decisions, training initiatives, and curriculum adaptations. By advancing our comprehension of the underlying dynamics, this study contributes to optimizing AI integration in higher education, empowering educators to harness technology's potential in cultivating enriching and innovative learning experiences.
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