The analysis of relationship between quality of e-learning system and students’ academic performance (study case: student’s in University of Kashan)

Abstract

E-Learning is an important tool in higher education in the digital age and has led to the creation of a learning environment on based learner, flexibility in learning methods and the introduction of changes in teaching and learning process in higher education system. This changes led to challenges such as increasing or decreasing academic performance. Thus the purpose this research was the analysis of relationship between quality of e-learning system and student’s academic performance. The type of research was descriptive-correlative and the statistical population included students at University of Kashan (N=6473), through Cochran's formula and stratified random sampling 236 ones were selected as a sample. In order to collect data’s, used from the elearning system quality questionnaire consisting of 47 answers closed items. To determine academic performance, the average of four semesters leading to the corona pandemic period was used. The reliability of the questionnaire was estimated 0.91 through Cronbach's alpha coefficient. Data’s analysis was performed at two levels of descriptive and inferential statistic. Findings showed that the mean of all components of e-learning system except evaluation quality (2.90±0.95) is higher than the cut-off point 3. The mean of the students’ academic performance (16.45±1.58) is higher than the average 10. Pearson correlation coefficient showed there is positive & significant relation between quality of e-learning system and students’ academic performance. In addition, regression coefficients showed that among the components, only the component of class holding quality (Beta=0.23 & P= 0.015) can predict students' academic performance.