Measuring and analyzing students’ acceptance toward a new learning framework a case in Indonesia using extension of technology acceptance model

Education plays an important part in the development of a country and it should not be interrupted or suspended for any cause. In the case of Covid-19, all face-To-face meetings have been halted in order to prevent the virus spreading. They are halted because the virus can be passed from one person to another via a droplet produced by a human when communicating with others. To deal with this situation, a lot of innovation has been generated. One of the solutions that has been used is online learning to avoid face to face offline meeting. However, there are several issues that arise when using it to overcome this problem such as communication and pedagogical problem, motivation issue, media issue, engagement issue and others technical issue. The prior study was developing a new learning framework (OLF). One of the most essential roles in the framework is the student's willingness to embrace or satisfaction to use and comply with their roles as suggested in the framework. To gauge students' participation in the framework, Extended TAM will be used. This model is a TAM model which has been extended by three new independent variables to measure the student's acceptance of the new learning framework. To make it easier to measure the influence of these variables, twelve indicators are used which are adopted from several theories such as behavioral theory, learning behavior, motivation1, and incentive theory. There are two research question will be answered in this study namely (1) To what extend do the students' intension to do their role for using OLF specially to use multimedia-based learning contents with hidden assignment in it? And (2) What is the relationship among students' intension to do their role for using OLF, and the variables in the model that comprising incentive, curiosity, perceive of enjoyment, perceive of usefulness, perceive of ease of use, behavior intention and actual use? This research applied a quantitative technique. The information will be gathered through lectures in various parts of Indonesia. To gain an understanding of the data and conduct a thorough analysis, it will be processed using structural equation modeling (PLS-SEM), a statistical model that is frequently used due to its speed, efficiency, and effectiveness. The expected outcome is to answer the research questions, validate the findings, and provide a recommendation for a better model to deal with the problems © 2023 Author(s).