The Impact of the Learning Mobile Application on Student Performance Using the Technology Acceptance Model

Abstract

Technology is being increasingly used in education to develop various forms of media that effectively support instruction and learning. The purpose of this study is to determine the extent to which students majoring in electronics engineering education at Higher Education benefit from the use of different learning applications and how much influence they have on the overall level of student performance, by exploring the area of the correlation between the independent variable of Learning Strategy and student performance, with the consideration of the Technology Acceptance Model (TAM) as a possible mediator in this correlation. The current study utilized purposive sampling to collect a representative sample of 229 participants. The data was then analyzed using the Structural Equation Model (SEM), utilizing the Partial Least Square (PLS) method as the initial approach. The software used for this analysis was SmartPLS 4.0 and Network Analysis was conducted to determine the relationship between items in this study. Based on the results of this study, effective learning strategies and a high level of student acceptance of technology will have a positive impact on student performance or lead to improved student performance. Educational applications provide the potential to be streamlined and utilized by students through a pedagogical approach, as their user-friendly nature facilitates effective deployment.