A Systematic Approach to Identify Unmotivated Learners in Online Learning

Objectives: To make an online learning to be effective, it is necessary to identify the unmotivated learners and motivate them to avoid attrition. Methods/Analysis: Through this paper, we identify the unmotivated learners using log file analysis. Usually in a log file analysis, time spent on learning alone is not enough to determine the motivational level of the learners, because some learners may understand the concepts very quickly, some may take more time to understand the concepts. Hence it is difficult to conclude the motivational level of the learners using time spent attribute alone. Findings: In our educational system, the student is qualified based on the marks they secured in an exam. The marks only decide whether he is engaged or disengaged in a study. Thus our proposed model will identify the unmotivated learners based on the learning time along with the traditional assessment marks. This improves the prediction performance of unmotivated learners and it becomes very compatible in online learning. Improvements: We compare and discuss our results with traditional log file based approaches. The results show that our proposed methodologies will give better results than the traditional log file based approaches.