Providing an electronic readiness assessment model for the establishment of virtual education in Sports and Youth of Fars Province

Subject Areas : Education

Kamal Bagheri ¹ , mehdi bagheri ² , nadergholi ghourchian ³ , parivash jafari ⁴

1 - PhD Student, Department of Educational Management, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran.
2 - Associate Professor, Department of Educational Management, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran.
3 - Professor, Department of Educational Management, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran.
4 - Associate Professor, Department of Educational Management, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran.

Received: 2020-07-14 Accepted : 2020-11-02 Published : 2022-01-21

Keywords: Model, Virtual Education, Electronic readiness, sports and youth of Fars,

Abstract :

Introduction: The aim of this study was to provide an electronic readiness assessment model for the establishment of virtual education in sports and youth Sports and Youth of Fars Province.
research methodology: The statistical population in the qualitative part included experts in the field of virtual education and in the quantitative part included managers and employees of sports and youth departments of Fars province to 320 people. The sample size was estimated in the qualitative part according to the saturation principle (30 people) and in the quantitative part using the Cochran's formula, 175 people. Purposeful sampling was used to select the sample in the qualitative part and stratified random sampling was used in the quantitative part. The data collection tools in the qualitative part were semi-structured interviews and in the quantitative part, the researcher-made questionnaire was based on the Likert five-choice scale. The face validity of the questionnaire was confirmed through experimental implementation and the content validity was confirmed through expert judgment. The reliability of the questionnaire was obtained through Cronbach's alpha coefficient of 0.84. For data analysis in the qualitative part, open coding, axial coding and selective coding were used, and in the quantitative part, exploratory factor analysis, confirmatory factor analysis and one-sample t were used.
Findings: The results led to the identification of 6 dimensions, 13 components and 57 indicators. A six-dimensional model for assessing e-readiness for the deployment of e-learning was presented and its degree of appropriateness was confirmed by experts with 95% confidence by experts.

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