Identification of Effective factors of E- learning in intelligent schools OF Baharestan

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Abstract:

This study identifies key factors that affect E-Learning learning in intelligent schools. The applied research method was descriptive-survey. The statistical population of the study, include all primary school teachers in district 1 of Baharestan city consist of 584 people. The sample size consisted of 232 persons based on the Cochran formula; and random sampling method based on teachers’ gender was used. The data gathering instrument was a researcher-made questionnaire according to 5-person Likert scale with a Cronbach confidence coefficient of 0.851. To analysis data, exploratory statistical analysis was used. Also to conduct the validity of the questionnaire the Delphi method was used.
The results of the research identified 12 factors : Instructors and Administrative agent’s Skills, Pedagogical, Technological, Equipment & Facilities, Finance & Credit, Motivational, Managers’ Support, 8-Getting Educational Standards, Social & Cultural, Legal & Official, Skills for Parents and Students, Strategy. In total, these 12 factors account for 78.796% of total variance of factors.
Language:
Persian
Published:
Information and Communication Technology in Educational Sciences, Volume:8 Issue: 4, 2018
Pages:
41 to 66
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