Kazem delghandi; Mohammad delghandi
Abstract
The current research was conducted with the aim of designing a virtual education model using the interpretive structural modeling method at Farhangian Khorasan Razavi University. This research was a descriptive survey-cross-sectional type in terms of practical purpose and implementation method. The current ...
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The current research was conducted with the aim of designing a virtual education model using the interpretive structural modeling method at Farhangian Khorasan Razavi University. This research was a descriptive survey-cross-sectional type in terms of practical purpose and implementation method. The current study population was the staff and faculty members of Farhangian Universities of Razavi Khorasan Province, including two campuses of Brothers and Sisters and five faculty centers, each center was considered one floor. According to the principle of theoretical saturation, the samples of the present study were determined by 13 people who were selected by stratified random sampling method after checking the inclusion criteria. The data of this study were collected through interviews and research literature of library studies (content validity was confirmed above 70% and reliability was obtained with the retest method after a two-week test) and were analyzed with thematic analysis and three rounds of Delphi. Then, by transforming the relationship matrix and creating consistency in the relationship matrix, the ISM graph was drawn and the type of variables was also determined using MICMAC analysis. According to the analysis of interviews and library studies and research literature, virtual education in Farhangian University was in the form of 12 variables. These 12 variables were stratified in 5 levels. In the fifth level, management, in the fourth level, organizational, pedagogical and technological factors, in the third level, ease of access, knowledge management and flexibility in education, in the second level, educational quality, support services, information and content and measurability,
