Presentation of the MOOC prediction model at Payam-e-Noor University based on management / scientific / professional competence components

The purpose of the present study was to present a predictive model of MOOC at Payam-e-Noor University based on the components of management and professional competence.

The research method was by purpose, applied; in terms of data type, (quantitative); in terms of data collection method or nature, and the research method was non-experimental - correlation. The statistical population of this study was 900 faculty members of Payam Noor University in Tehran. Due to the different nature of Payame Noor University, 270 people were selected as the subjects using Cochran formula and simple random sampling. The research tool consisted of a researcher-made questionnaire with 37 questions related to MOOC and two standard questionnaires of 20 and 15 questions for management variables (Wiele & Boselie Questionnaire, 2002) and professional competence (Molaeinejad questionnaire, 2012). The reliability and validity of the questionnaire were confirmed by Cronbach's alpha and reliability coefficient (MOOC, management and scientific / professional competence) of 0.7. Structural equation modeling (confirmatory factor analysis) was used to analyze the data.

The results showed that the components of management, scientific / professional competence, were effective factors on the implementation of the music in Payam-e-Noor University.

With the presence of mock-ups, it facilitates the access of institutions and organizations to inclusive learning and facilitates the virtual learning process. In the field of MOOC management, the university can be effective in providing MOOCs courses by preserving and developing fair behavior and speech.