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Meta-Analysis of Studies on the Effect of Blended Learning on Academic Performance in Iran
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Volume 5, Issue 36 (9-2018)
Abstract

The purpose of this research was to conduct a meta-analysis of the studies on the effect of blended learning on academic performance in Iran. The meta-analysis was based on the estimated effect size of blended learning on academic performance. 211 studies were identified in the period 2010-2017, of which 20 research documents were selected using non-probability (purposive) sampling. Initial data analysis was done in SPSS using the PRISMA checklist, and Cohen’s model was used to interpret the results. The results showed that there is a significant positive relationship between blended learning and academic performance. The estimated effect size for this relationship was 0.684, which is higher than the medium level in Cohen’s model (0.5). This indicates the real effects of the blended learning approach on academic performance. Overall, the results showed that the blended learning approach, with proper needs assessment, design, implementation, evaluation, and feedback, can be a logical and flexible strategy for improving academic performance.
 


Investigating the effectiveness of help-seeking Academic strategies on academic well-being, academic engagement and academic performance
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Volume 10, Issue 44 (4-2022)
Abstract
The aim of this study was to investigate the effectiveness of academic aid strategies on academic well-being, academic engagement and academic achievement of students. In this quasi-experimental study, a population of 721 people from Payame Noor Khalkhal University in the second semester of 2020-2021, using single-stage cluster sampling method and in order to determine the sample size in accordance with the research plan of the number 60 people were randomly replaced in two groups of 30 people, one experimental group and one control group. To collect information, the educational package of Alon et al.'s (2006) help-seeking strategies, Tominen-Svini et al. (2012) academic welfare questionnaire, Zarang (2012) and Pham and Taylor (1999) academic performance scale were used. Finally, multivariate analysis of covariance based on SPSS software version 22 was used to analyze the data. The results showed that the mean scores of post-test of academic well-being in the experimental group were significantly higher than the control group (p <0.01 and F = 18.582 (1, 57)). There was no difference in the academic engagement test in the experimental and control groups, and the mean scores of the academic performance post-test in the experimental group were higher than the control group (p <0.01 and F = 18.809 (57 and 1). The final result shows that academic help strategies as an intervention approach along with the psychological structures of academic well-being and academic engagement, if well designed, planned and implemented, can affect academic performance.
 
The role of implicit intelligence and multiple intelligences in academic performance with the mediating role of academic engagement
Mrs Narges Aeenevand, Dr Ahmad Zandvanian, Dr Maryam Zare,
Volume 12, Issue 46 (9-2023)
Abstract
Students, as one of the main axes of the education system, play the most important role in the learning process. It is obvious that students' academic performance depends on the degree of their acquired or learned abilities in school subjects, and this variable itself is also influenced by factors. The aim of the present study was to investigate the predictive role of implicit intelligence and multiple intelligences in student`s academic performance with the mediating role of academic engagement. The research method was a descriptive and correlation study. Statistical population was including the entire students in the high school in Ashkzar city in 2020-2021 that 245 individuals were selected through voluntary sampling method. To collect data from questionnaires implicit intelligence, multiple intelligence and academic engagement scales was used. The results showed that both components of implicit intelligence (incremental beliefs and entity beliefs) and the components of logical – mathematical intelligence, interpersonal intelligence and musical intelligence from the multiple intelligence variable, are able to indirectly predict academic performance. In other words, the results showed that incremental beliefs (0.06), entity beliefs (0.03), logical-mathematical intelligence (0.12) and interpersonal intelligence (0.04) predict academic performance positively, by mediating academic engagement and musical intelligence (-0.04) predict academic performance negatively, by mediating academic engagement in high school students. So, based on these results, increasing beliefs of intelligence can increase academic performance and on the other hand, some types of intelligence can play a positive and negative role on academic performance.
 
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