ISSN: 2222-6990
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Artificial intelligence (AI) has emerged as a transformative technology in higher education, holding immense significance for academicians. By harnessing the power of AI, researchers are empowered with advanced capabilities for data analysis, trend prediction, and innovative insights. This study aims to explore the direct correlation between attitude, perceived usefulness, perceived ease of use, and perceived behavioral control with intention and the subsequent usage of AI in the academic setting. The research model integrates three independent variables: attitude, perceived usefulness, perceived ease of use, and perceived behavioral control, with intention acting as a mediator and usage as the dependent variable. Primary data were collected through a well-structured survey questionnaire, which was thoughtfully adopted and adapted from previous studies. The study diligently analyzed 362 clean datasets using the structural equation modeling technique, which is well-suited for assessing complex relationships among variables. In the initial stages of analysis, the measurement model's convergent validity was evaluated by assessing construct reliability and validity. Subsequently, the discriminant validity was assessed and confirmed through cross-loading and Hetrotrait-Monotrait (HTMT) ratios, ensuring that each construct is distinct and not redundant with others. Upon evaluating the structural model, the hypotheses testing yielded significant results. It revealed that attitude, perceived usefulness, perceived ease of use, and perceived behavioral control have a positive and significant influence on intention. Moreover, the study established that intention strongly affects AI usage among academicians. These findings reaffirm the importance of these factors in shaping users' intention to embrace AI technology and subsequently utilize it effectively in their academic pursuits. Theoretical implications derived from this study highlight the critical role of attitude, perceived usefulness, perceived ease of use, and perceived behavioral control in shaping users' intentions and their subsequent behavior toward AI usage.
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