Published Paper Details:

Online learning is an emerging trend in current education sector. It is a convenient way of learning for the people who have various constraints regarding traditional education system. The popularity of online learning results in increase of online learning data. Learning analytics is a growing research field to analyze online learning data. The concept of learning analytics and data modeling extends the promising research directions in online learning environment. Although numerous researches have investigated on experience in online education field, limited findings are available for the challenges and the specific strategies that students apply to conquer those challenges. The present research study aims to analyze the impact of online learning environment on student's performance and identify challenges in opting online courses. The goal of the study is to develop a model for the student data using structural equation modeling in Jamovi software that can explain and analyze the impact of online learning environment on students' performance. The hypothesis established for the model is supported by the results. It is observed that established model has acceptable fit indices with significant p-values. The analysis indicated that the challenges in opting online courses for university credits are mostly due to internet, device facility, language comfort and mode of learning. The research study provides the baseline to understand the impact of online learning factors on students' outcome for improving the learning system.