Identifying and prioritizing effective factors of e-learning effectiveness using hierarchical analysis in the Ministry of Education in Iran
Descripción del Articulo
The purpose of present study was to identify and prioritize the effective factors of electronic learning effectiveness in the Ministry of Education of Iran, using a hierarchical analysis and through a descriptive-survey method. The statistical population of present study included managers and expert...
| Autores: | , , , |
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| Formato: | artículo |
| Fecha de Publicación: | 2020 |
| Institución: | Universidad Peruana Unión |
| Repositorio: | Revistas Universidad Peruana Unión |
| Lenguaje: | español |
| OAI Identifier: | oai:ojs2.apuntesuniversitarios.upeu.edu.pe:article/595 |
| Enlace del recurso: | https://apuntesuniversitarios.upeu.edu.pe/index.php/revapuntes/article/view/595 |
| Nivel de acceso: | acceso abierto |
| Materia: | e-learning, individual characteristics, organizational characteristics, infrastructure. |
| Sumario: | The purpose of present study was to identify and prioritize the effective factors of electronic learning effectiveness in the Ministry of Education of Iran, using a hierarchical analysis and through a descriptive-survey method. The statistical population of present study included managers and experts of Education Organization and a sample of professors with Ph.D. in Educational Sciences as well as experience of teaching in electronic training. Therefore, purposeful non-random sampling method was used to select the sample size. The used tool was a hurricane-thinking questionnaire. Indicators were organized as a questionnaire in the form of 5-point Likert scale and the effective factors of electronic learning effectiveness were identified through implementing subsequent rounds. The reliability of research tool with 28 items was calculated equal to 0.88 using Cronbach’s alpha. Data analysis in the section of identifying effective factors of e-learning effectiveness was performed using Delphi method and utilizing from SPSS Software and in the section of prioritizing was performed through AHP method using Expert Choice Software. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).