The development of Artificial Intelligence (AI) technology in education has encouraged the use of Meta AI on WhatsApp to support the learning process. This study aims to analyze the factors influencing students' intention to use Meta AI on WhatsApp by employing a modified Technology Acceptance Model (TAM). This study adopted a quantitative approach involving 428 respondents who were students using Meta AI on WhatsApp. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS. The results indicate that awareness, social influence, and perceived enjoyment have a positive and significant effect on perceived usefulness and perceived ease of use. Furthermore, perceived ease of use has a positive effect on perceived usefulness, while both perceived usefulness and perceived ease of use have a positive effect on intention to use. In contrast, personalization was not found to moderate the relationship between perceived usefulness and intention to use, nor the relationship between perceived ease of use and intention to use. Overall, the modified TAM successfully explains the factors influencing students' intention to use Meta AI on WhatsApp. Future research is recommended to incorporate additional variables and expand the respondent population to improve the generalizability of the findings
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