رویکردهای نوین آموزشی (Feb 2024)
Identifying and Evaluating the Components of Virtual Instruction During Corona Virus Epidemic in Bu Ali Sina University
Abstract
The present study was conducted to identifying and evaluating the components of virtual instruction during corona virus epidemic in Bu Ali Sina University. The research method was a combination of sequential exploratory types. The target population in the qualitative part of the statistical population included experts in the field of educational technology at Bu Ali Sina University, and the sample was also using the purposeful sampling method. 13 experts were selected using the purposeful sampling method. In this section, a semi-structured interview tool was used to collect research data. In the quantitative part, a researcher-made questionnaire was designed and implemented based on the data extracted from interviews with experts, and the statistical population included all university students (11083 people), using the Morgan and Karjesi table, 373 people were selected as a sample and the questionnaire was compiled based on the items extracted from the qualitative stage with 4 components (educational design, content, evaluation, and support and management) and 18 items were distributed among them. The formal and content validity of the research questionnaire was confirmed by the professors and experts of virtual education, and its reliability was obtained through Cronbach's alpha of 0.94. The qualitative content analysis method was used to analyze the data in the qualitative part. And in the quantitative part, descriptive statistics including frequency, mean and standard deviation, and inferential statistics including one group t-test were used. The findings showed that the effectiveness of the virtual instruction is lower than average (p0.05). The effectiveness or the success rate of the virtual education components was compared with the criterion mean according to the students. Considering that the rating range of the questionnaire was from 1 very low to 5 very high, the score 3 was set as a criterion for the components. One sample t-test was used to compare the mean of the components. Table 1. The results of the one sample t-test to compare the mean of virtual education componentspdftStatistical MeanStandard DeviationObserved MeanIndicator Variable0.001**3724.4930.842.80Virtual training course0.001**3723.5630.862.84Effectiveness of virtual education design component0.9353720.0830.882.99Effectiveness content component0.001**3725.9830.902.71Effectiveness of evaluation and review component0.001**3726.7130.972.66Effectiveness management and support component**p 0.05). Discussion and Conclusion The present study was conducted with the aim of identifying the components of virtual education in Bu Ali Sina University during the corona virus epidemic, and the results of this study are consistent with the findings of Mahdavinasab et al. (2019), Hadullo et al. (2018), Park and Lim (2018), Safdari et al. (2021), Esmaeeli et al. (2017). In the explanation of the results, it can be said that one of the factors of the low quality of virtual education in the current research is due to the necessary infrastructure and facilities, which has caused dissatisfaction in access and optimal support. Therefore, it is possible to strengthen the virtual education centers in universities by equipping the appropriate resources and budget and create the necessary support for it. Of course, it is important to mention that the experience of virtual education in Bu Ali Sina University is comprehensively related to the Corona era, and the trial and error experience for this approach probably influenced the results, and the results of this study cannot be generalized to other centers. In order to improve the virtual education system, it is suggested to create the necessary infrastructure in universities for the development of virtual education. With the advancement of technology, the use of various types of media in education has become popular and inevitably in the future, the use of virtual education will cover all levels of education, so it is suggested that the high advantages of virtual education should be used to create a positive attitude towards this field, and for the above Improving the quality of virtual education, teams consisting of experts in psychology and educational sciences, educational technology, management and information technology engineering in universities should supervise the process of designing and implementing virtual education. Acknowledgments: We are grateful to the professors and students of Bu- Ali Sina University who participated in this research.
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