The purpose of the current research is to model the effectiveness of e-learning content. The research is a type of exploratory combined research that has a quantitative and qualitative nature.In the qualitative part, the comparative content analysis method was used and in the quantitative part, the interpretive structural modeling method was used. They were selected as samples as available. First, the effective factors on the effectiveness of e-learning content and the effectiveness criteria of e-learning content were identified by studying the researches of the last 20 years, and the factors and criteria were screened by interviewing the sample population of the qualitative section.Four criteria of believability, transferability, reliability and dependence were used to check the validity of the results obtained from the qualitative part of the research. The results obtained from the qualitative part were measured by distributing a questionnaire among 31 experts in the field of education in Iran who were selected as available and analyzed using the fuzzy Delphi method.In order to validate the questionnaire before distribution, the questions and their correctness were checked by 5 experts and all the ambiguities in the questions were corrected. Also, the reliability of the questionnaire was confirmed after calculating Cronbach's alpha of 0.64. Factors.affecting the effectiveness of e-learning content that were identified in the quantitative section and ranked by interpretive structural modeling. The findings showed that 13 factors influence the effectiveness of e-learning content. Also, the criteria that measure the effectiveness of e-learning content are satisfaction, increasing knowledge, retaining knowledge, increasing skills, improving performance, and reducing additional cognitive load of learners as a result of participating in e-learning courses.Therefore, e-learning can be more effective by using the factors obtained from this research and increase the learning and skill of learners.
Kordi A A, Tavakoli G R. Modeling the impact of influential factors on the effectiveness of E-Learning content. MEO 2023; 12 (1) : 7 URL: http://journalieaa.ir/article-1-545-en.html