| نویسندگان | حمید رحیمی سمیرمی,سیداحمد مدنی بروجنی,زهرا اسماعیل زاده قمصری |
| نشریه | Iranian Distance Education Journal |
| شماره صفحات | 152 |
| شماره مجلد | 4 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2022-04-01 |
| رتبه نشریه | علمی - پژوهشی |
| نوع نشریه | الکترونیکی |
| کشور محل چاپ | ایران |
| نمایه نشریه | ISC |
| کلید واژه ها | Academic Performance, E, Learning, Covid 19, Student. |
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چکیده مقاله
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.