Analyzing Intentions to Adopt Artificial Intelligence in Islamic Education Practices

This research explored the key factors shaping the adoption of artificial intelligence (AI) in Islamic studies education, employing the Technology Acceptance Model (TAM) as the guiding framework. A quantitative approach was adopted, with data collected from 255 participants through an online survey distributed via Google Forms. The reliability and validity of the survey instrument were rigorously tested. Data was analyzed using Structural Equation Modeling (SEM) with Smart PLS software. The findings revealed that Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) significantly influence educators' attitudes toward using AI in Islamic education. Notably, PEOU emerged as a stronger determinant of attitude, highlighting the importance of user-friendly technologies in fostering acceptance. Furthermore, the study established a clear link between positive attitudes toward AI and Behavioral Intention (BI) to adopt the technology, which drives actual usage. These results underscore the critical role of simplifying technology to encourage its adoption and suggest practical pathways for integrating AI into Islamic studies teaching and learning.