Theoretical Framework Design for Measuring Student's Preference towards Smart Learning Class

The rapid development of technology creates a modern learning environment, that is more social, interactive, flexible, and user-centered. Smart class is one form of this learning environment, that recently gained massive attention in the education field. The application of technology has increased the learning interest of the student and the quality of education. Since smart learning class is a new term, therefore, in order to have a maximum output, there is a need for a study to decrease the probability of system rejection, and also to accelerate the acceptance process of the system, so the system will be well adopted. The objective of this research is to develop a theoretical framework that representing influential factors towards smart class adoption, using the combination of preference instrument of smart class learning environment (PI-SCLE) and theory of planned behavior (TPB) questionnaire. The result of the questionnaire was analyzed with partial least square (PLS) method, to know the influential factor regarding smart class adoption. As a result, 9 hypotheses are accepted, and 2 hypotheses are rejected. It is expected that the output of this research will be used for evaluating and developing strategies towards smart class adoption to improve the learning quality, to decrease the probability of system rejection and also to accelerate the system acceptance process.