محمدرضا سرمدی

The concept of social presence is defined as the ability of learners to identify the learning community, have a sense of belonging to the community and communicate purposefully in a learning community. The reason for emphasizing the social presence of online learning is that online and virtual learning experts believe that social constructivism is an important factor in promoting interpersonal communication and the quality of learning. Given the importance of social presence as an influential variable in the process of virtual education, it is necessary to pay more attention to this issue and its predictors. In this regard, the present study aimed to provide a causal model for predicting social presence based on cognitive presence mediated by the online learning atmosphere. Participants included 265 students of online courses of Payame Noor universities in North Khorasan province in the academic year of 2009-2010 who were selected by cluster random sampling method. In order to measure the research variables, questionnaires of cognitive presence, social presence and online learning atmosphere were used. Amos software and path analysis method were used to evaluate the proposed model. The results showed that, 1-According to the above findings, the proposed model in the RMSEA index (root mean square of estimation errors) does not fit well, so the model was modified by correlating latent variable errors and The results showed that the final model has a good fit; 2-Cognitive presence has a direct, positive and significant relationship with social presence (P≤0.05 and β=0.62); There is a direct, positive and significant relationship between cognitive presence and online learning (P≤0.05 and β= 0.14) and also a direct relationship between online learning atmosphere and social presence is positive and significant (P≤0.05 and β=0.32); 3-In the indirect way, with the presence of mediator variables, the relationship between cognitive presence and social presence was still significant and the online learning atmosphere absorbs part of the effect of cognitive presence on social presence and mediates this relationship in part .

The present study aims to investigate the technical and non-technical patterns of the curriculum in open and distance learning generations in order to identify the position of these foundations in the field of opinion and action. Decision-making in curriculum planning has a wide range and various groups are seeking to influence and participate in decisions related to curriculum planning. The research approach was descriptive-analytical and the strategy was qualitative and documentary. Curriculum planning is the process of predicting and preparing a set of learning opportunities for a specific population in order to achieve educational goals and objectives. This type of approach is applicable in technical curriculum planning. Another approach in curriculum planning is spontaneous decision-making and unplanned approach, which relates the planning process to the interactions between teachers and students. According to these two perspectives, a technical and non-technical approach to curriculum planning has emerged. Therefore, the teacher should select a small and limited framework of the curriculum process as a model and analyze and identify it in order to organize their educational activities in an appropriate situation and within the scope of that framework. In the present article, an overview of technical and non-technical curriculum patterns regarding educational requirements in the context of open and distance learning generations has been explored. The results in the curriculum patterns section support these patterns in the technical patterns section, including the Tyler model, and in the non-technical patterns section, including the Pinar model.

Introduction: The purpose of this study is to identify MOOC ethical features of Courses & Online MOOC courses in higher education. Methods: This study was designed as embedded mixed model research to provide a better understanding of the research problem. Throughout this research, both the heuristic inquiry method and the questionnaire method were applied to obtain and analyze the data. At the primary stage, ethical features of Courses & Online MOOC courses were identified. The content analysis method was used for qualitative data, and for quantitative data, both weighted mean and Friedman test were used. The statistical population in the qualitative section of the study includes the electronic resources related to the research subject and, in the quantitative section, 60 distance education experts in the field of planning in virtual learning environments and virtual universities so that 36 of these experts were voluntarily selected as the study sample. Results: Content analysis results showed 4 dimensions and 16 criteria. The evaluation results of the experts also showed that interacting with the global network, the ease of online interactions with learners and other organizations, and the possibility of receiving electronic assignments or workbooks during the course, are regarded as the most important ethical characteristics of Courses online MOOC courses; security and privacy of individuals ought to be considered in their interactions, observance of the principles related to confidentiality with regards to the files or marks, with other participants through emails, chats, forums, etc.Conclusions: In these courses, the features of online courses and openness for enrollment are emphasized and predominant. Therefore, there is no need to get involved in new ethical features. Since the maximum current size of online classes is 60 students, various factors of these indicators such as learner agents, instructive organization, content, and teaching and learning environment ought to be accurately studied. Given that the capacity of learners may reach the limit of hundreds and thousands, the kind of considered ethics should be beyond the procedure implemented for online classes.

The purpose of this research was to construct, validate and determine the reliability of online teaching satisfaction model among virtual course professors. For this purpose, an attempt has been made to design a questionnaire based on the model of Bolliger and Vasilik (2009) to measure the satisfaction of professors with online teaching. In order to create, compile and standardize such a questionnaire, the literature related to satisfaction with online teaching, which was available in the form of articles and books, was carefully reviewed. Finally, the definitions and concepts of satisfaction with online teaching were designed as 30 questions with 5 options using the "Likert scoring" method in the form of measuring the satisfaction of professors with online teaching. The reliability of the questionnaire was evaluated through Cronbach's alpha and retest and construct validity through confirmatory factor analysis. The formal and content validity of the questions was examined by asking the opinions of 19 expert professors in the field of online teaching, and its reliability was also tested on 50 professors of online courses in the "retest" method and at a time interval of 5 weeks. , 0.72 was calculated. Then the questionnaire was implemented on 350 professors of the virtual courses of Payam-Noor University and by using factor analysis with "rotational" method of "Varimax" type, 3 factors with characteristic value higher than 5 were determined as follows: "Satisfaction" from the organization", "student satisfaction" and "self satisfaction". Therefore, the reliability coefficients were between 0.68 and 0.89 for all subscales and 0.78 for the whole questionnaire by the test-retest method. The internal consistency coefficients for all subscales were between 0.62 and 0.75 and for the whole questionnaire was 0.93. In general, the validity and reliability coefficients obtained for the questionnaire were satisfactory. The designed questionnaire is distinguished from other questionnaires in the field of online teaching satisfaction for two reasons. First, this questionnaire covers areas of satisfaction that are related to organizational, student, and self-satisfaction. Second, each of its questions is derived from a defined index, and this issue makes the professors' "satisfaction with online teaching" based on a theoretical framework. Finally, it can be said that according to the reliability and validity results, this questionnaire is a relatively suitable tool for measuring the threshold of "satisfaction with online teaching" of online course professors at Payam Noor University. Obviously, building a scale to measure an existing structure is extremely difficult and time-consuming if done correctly; For example, studying the history of the formation of well-known tests in the world, which are highly reliable and valid.