Measure The Significance of Learning Value and Trust Factors for Online Learning Technology Acceptance in Indonesia (original) (raw)
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Flexible learning is an online learning media that reshapes the roles of lecturers and students and provides information required for teaching/ learning activities. Indeed, various factors influence the extent of users' participation in adopting flexible learning. Therefore, it is necessary to investigate what factors affect the extent of users' participation in accepting and adopting flexible learning. Consequently, this article uses Technology Acceptance Model (TAM) as the theoretical base to understand the factors that influence the acceptance and adoption of flexible learning by lecturers and students as users of the system. In order to make the empirical analysis, we distribute questionnaire topurposively selected 100 students and lecturers from a private Indonesian university (Satya Wacana Christian University) who have fully used flexible learning system in the university (the so-called F-Learn). Using Structural Equation Modeling (SEM) to analyze the data, we find th...
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E-learning system is one of technology that can increase the competitiveness of STMIK Mikroskil. E-learning system usage will be less than optimal if students refuse or cannot use the system. Therefore, an understanding of student acceptance behavior toward the system is also important in order to improve online learning environment. This study measures the acceptance of e-learning system using the extended Technology Acceptance Model (TAM). This study aims to determine the relationship between self-efficacy, subjective norm, and experience as exogenous constructs to perceived ease of use and perceived usefulness as endogenous construct followed by testing to determine the relationship between perceived ease of use and perceived usefulness toward behavioral intention to use on e-learning system usage in STMIK Mikroskil Medan. Questionnaire data was collected from 354 active students and analyzed with structural equation modeling (SEM) using AMOS 24. The result of this study showed t...
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Flexible learning is an online learning media that reshapes the roles of lecturers and students and provides information required for teaching/ learning activities. Indeed, various factors influence the extent of users’ participation in adopting flexible learning. Therefore, it is necessary to investigate what factors affect the extent of users’ participation in accepting and adopting flexible learning. Consequently, this article uses Technology Acceptance Model (TAM) as the theoretical base to understand the factors that influence the acceptance and adoption of flexible learning by lecturers and students as users of the system. In order to make the empirical analysis, we distribute questionnaire topurposively selected 100 students and lecturers from a private Indonesian university (Satya Wacana Christian University) who have fully used flexible learning system in the university (the so-called F-Learn). Using Structural Equation Modeling (SEM) to analyze the data, we find that perce...
THE 6TH INTERNATIONAL CONFERENCE ON SCIENCE AND TECHNOLOGY (ICST21): Challenges and Opportunities for Innovation Research on Science Materials, and Technology in the Covid-19 Era
Education plays such 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 from 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 have been used is online learning to avoid face-to-face offline meetings. However, there are several issues that arise when using it to overcome this problem such as communication and pedagogical problem, motivation issues, media issues, engagement issues, and other technical issues. The prior study was to develop 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, motivation 1 , and incentive theory. There are two research questions that will be answered in this study namely (1) To what extent do the students' intend to do their role for using OLF especially to use multimedia-based learning content with hidden assignments in it? And (2) What is the relationship between students' intention to do their role for using OLF, and the variables in the model that comprise incentive, curiosity, perceived enjoyment, perceived usefulness, perceived ease of use, behavioral 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
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Due to the continued prevalence of e-learning underutilization in Indonesia's higher education context, this study empirically examines individual and system characteristics believed to influence students' acceptance of e-learning systems. The proposed research model is developed to examine the influence of five characteristics of the Technology Acceptance Model using the Structural Equation Modelling technique. This study found that both individual characteristics, computer self-efficacy and internet self-efficacy, play an important role, indirectly affecting perceived intention to use e-learning. The system characteristics including learning content and technology accessibility have been found to significantly influence learners' acceptance behaviours. Both perceived ease of use and perceived usefulness were found to be significant predictors of perceived intention to use. Additionally, perceived usefulness was found to have more predictive power than perceived ease of use on behavioural intention to use. This study contributes to a better understanding of how to enhance e-learning acceptance through improvement in individual and system characteristics.