EVALUATING E-LEARNING ACCEPTANCE IN YOUNG STUDENTS USING A MODIFIED TECHNOLOGY ACCEPTANCE MODEL: A CASE STUDY AT MATH CENTER REJOSARI
The long period of pandemic Covid-19 has forced educational institutions to witness the benefit of e-learning in enhancing students learning experiences, which creates a promising future for e-learning. This opportunity was also felt by Math Center Rejosari (MCR), which started implementing online l...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/66804 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The long period of pandemic Covid-19 has forced educational institutions to witness the benefit of e-learning in enhancing students learning experiences, which creates a promising future for e-learning. This opportunity was also felt by Math Center Rejosari (MCR), which started implementing online learning since the pandemic began. The new learning method has lured many new students to join the tutoring center. To detach their dependence on tutors, MCR has tried integrating asynchronous learning to allow students to study independently. However, if done recklessly, the implementation of e-learning can risk MCR losing its students. To avoid the issue, this study evaluates the student’s intention to use the e-learning system using a modified Technology Acceptance Model (TAM). As a result, this study has identified six external factors that significantly influence the e-learning acceptance of young students in MCR: system quality, content quality, information quality, subjective norms, and perceived mobile value. A qualitative approach has also been conducted to understand students’ perspectives on each factor. Based on the result, the author tries to compare the factors considering their importance in determining students' intention and current performance based on survey results. Two factors that have high importance and low performance are chosen to be improved to gain a higher e-learning acceptance. Those factors are system quality (high priority) and content quality (low priority). Based on the customer needs, the authors suggest two action plan to improve each factor. First, MCR's current e-learning system's system quality is seen as not trustworthy and hard to navigate. The author suggests that MCR migrate the e-learning into a Learning Management System specially built to serve online learning. After comparing the features, Moodle is chosen because it has the most significant number of users and offers the broadest range of features suitable for MCR needs. For the content quality, the current video content served by MCR is judged to be too lengthy and tedious. Based on that complaint, the author suggests designing a shorter and well-designed video according to Mayer’s six principles. |
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