The recent COVID-19 pandemic situation has caused abrupt transition to a smart learning environment, leaving many students to swiftly adjust to these changes. While academics believe that student engagement is essential for learning, the problem of participation in online learning appears to be unresolved due to many obstacles faced by students such as lack of IT infrastructures and lack of motivation due to non-physical interaction. The purpose of this study is to investigate factors of students' participation in the smart learning environment which can help to develop successful online courses by taking into account all of the aspects that influence students' intentions. Using surveys as the instrument, this study will be using Technology Acceptance Model (TAM) to evaluate student's intention to participate in Smart Learning Environment. The survey was distributed randomly and based on the results of responses from 383 students, Perceived Usefulness (PU) and Perceived Easeof-Use (PE) were predictors of high intention to attend online class. In other sense, Compatibility (CO) and Perceived Knowledge (PK) results shows that it does not influences students' desire to take the online course, however it is critical that university must brace for any possible threats in the future for these two variables.