درخت حوزه‌های تخصصی

The aim of the current research was to design and validate an electronic learning environment model based on educational neuroscience (knowledge of the mind, brain and education). The method of this mixed research was an exploratory design. First, various sources were examined and the components of the cognitive educational model were determined using the content analysis method. Then, using the Delphi method and the opinions of the judges, the components were finally approved. The statistical population in the content analysis section consisted of experts in the field of educational neuroscience, written and electronic documents and resources from domestic and foreign databases, and in the Delphi section, experts in the field of educational technology and distance learning. To search for and find all the articles related to e-learning based on neuroscience, a systematic review method was used to identify, review, evaluate and analyze the articles. This systematic review was carried out using the prism method.The selection of samples in both sections was purposeful and in the content analysis section there were 22 specialists and experts for interviews and in the Delphi section there were 15 specialists from different universities and institutions in Iran, the Netherlands and AmericThe analysis of the data obtained from the qualitative interview was also done using the inductive content analysis method and in the Delphi section using descriptive and inferential statistical methods. According to the content analysis, six categories of attention, Generation and communication, Emotion, Spacing learning, Individual-environmental factors and social factors were obtained. Also, 17 sub-components were extracted for the main classes. After analyzing the content and extracting the codes, the components and sub-components were presented in the form of a template. The results of internal validation based on experts' opinion have shown that the provided educational model has high internal validity and has the necessary effectiveness for teaching fifth grade students

The conditions of the corona virus forced online education with LMS (learning management system). The main purpose of this research is to investigate the desirability of the quality of electronic education of Payam Noor University from the students' point of view of ISFAHAN LMS. The current research is a survey. The research tool was the USELEARN questionnaire and the checklist of the National Learning Association website. The statistical population includes all students who were studying at the Bachelor's degree and Master's degree (LMS) in the 2023 at Payam Noor University through electronic education. The simple random sampling method was used. The sample size was 384 students.Benson et al.'s and Salmon's models have been used to evaluate the quality indicators and components of Payam Noor University's electronic education. The average values of the ratings showed that the indices of "Professor", Information Technology" and "University Support" had the highest average and the most importance, and the index of "Contextual Factors" had the least importance. Based on the ratio test, the factors "teacher ", "electronic interaction” and “Access to facilities” are desirable factors.”University support and support" has been evaluated as a low desirability. There is a significant difference between the evaluations of the desirability of the quality of e-learning indicators and gender.Multivariate regression analysis showed that among the independent variables entered into the equation, the variables of the “Electronic lesson score”, “The teacher's interest and friendly behavior toward all students”, “Inviting students to use electronic education”, “Evaluation of face-to-face training” and” Ease of use of electronic education system” have the greatest impact on evaluating the desirability of electronic education that could explain 73% of the variance of the changes related to the dependent variable. The variables have been able to explain 73% of the variance of changes related to the dependent variable.