Ali Akbar Ajam; mahdieh mahdizadeh; janad farzanfar
Abstract
The present study aims at investigating the effectiveness of the blended learnin course on the academic performance of seventh grade students in the field of photography in the art course. The research method is quasi experimental with post-test, pre-test and control group. The statistical population ...
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The present study aims at investigating the effectiveness of the blended learnin course on the academic performance of seventh grade students in the field of photography in the art course. The research method is quasi experimental with post-test, pre-test and control group. The statistical population consists of all female students in the 7th grad secondary school in Gonabad city. The research sample was 58 participants selected through available sampling and assigned in two experimental and control groups who were homogeneous based on educational achievement. The experimental group was given instruction in blended learning system and the control group was under traditional teaching style. The pre-test of academic performance in the field of photography in the art course was performed on both experimental and control groups and after 12 instruction sessions in blended learning style to experimental group, the post-test of academic performance in the field of photography in the art course was administered among both groups. The results were analyzed using Covariance Analysis in SPSS software. The findings indicate that the academic performance of experimental group in familiarizing with photography and viewfinder and identifying the best photography angle, in understanding and identifying and working methods of analog and digital cameras, according to the point of emphasis in photography, The method of photography at different times and photography at night and lighting in photography, have been enhanced and there was a significant difference between academic performance of experimental and control groups in the field of photography with a higher achievement of experimental group.
hamid rahimi; Ahmad Madani; Zahra Esmaeilzadeh Qamsari
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 ...
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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 e-learning 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.
