Individual Performance Model for E-Learning in University

Abstract

During a pandemic in the world, the use of learning methods through online learning continues to increase. Individual performance of students is a concern if the learning method is implemented with e-learning. The focus in the reported study is to examine the connect between individual student performance on the concept of online learning through support from continuance intention and student behavior (satisfaction). The study was administered by studying students' experience of e-learning around 491 students. Data was collected through a quantitative questionnaire with the tool of analysis used SmartPLS. The study was conducted by testing the model through two stages, namely PLS Algorithm and Bootstrapping process. The outcomes of the research show a positive correlation between e-learning satisfaction on continuance intention and individual performance directly. On the other hand, it was stated that continuance intention was able to mediate between e-learning satisfaction and increasing student individual performance on the online learning concept. The study knowledge of the model related to individual student performance on the e-learning method. Individual performance research models can be used as recommendations for improving the learning performance of students at universities.