Prioritization and Presenting a Model of Effective Factors on Virtual Education Styles
The present research was conducted aim to prioritization and presenting a model of the effective factors on virtual education styles.
This study in terms of purpose was applied and in terms of implementation method was mixed (qualitative and quantitative). The research population in the qualitative section was the experts of virtual education which according to the principle of theoretical saturation from them 20 people were selected by available sampling method. The research population in the quantitative section was the Personnel of social security organization of Khorasan Razavi province in 2020 year which according to the Cochran's formula from them 281 people were selected by cluster sampling method.
Data were collected by methods of note-taking, semi-structured interview and researcher-made questionnaire which the content validity of the questionnaire was confirmed by experts opinion and its construct validity was confirmed by factor analysis and its total reliability was obtained by Cronbach's alpha method 0.94. Qualitative data were analyzed by open, axial and selective coding method and quantitative data were analyzed by Friedman test and structural equation modeling in SPSS-19 and LISREL-8.8 software.
The findings of the qualitative section showed that virtual education styles had 17 indicator, 5 concepts and 2 categories. The two categories included the content of organizational software (with two concepts of software quality and software quantity) and savings in virtual education (with three concepts of time saving, space saving and economic saving). The findings of the quantitative section showed that software quantity, time saving, economic saving, space saving and software quality played a greater role in virtual education, respectively. The model of effective factors on virtual education styles had a good fit and the content of organizational software and savings in virtual education had a significant effect on virtual education (P<0.05).
According to the results of the present study, it is necessary to design and implement programs to improve the virtual education styles by promoting software quantity, time saving, economic saving, space saving and software quality.
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