حسین حافظی

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.

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 .