Identifying the optimal pattern of dissertation monitoring :A case study of the Faculty of Educational Sciences and Psychology of Shahid Beheshti University

The present study intends to identify the desired pattern of dissertation supervision with a qualitative approach. The data were theoretically saturated after interviewing 11 faculty members of the Faculty of Educational Sciences and Psychology of the Faculty of Educational Sciences and Psychology of Shahid Beheshti University through purposive sampling and semi-organized interviews. Then, the data analysis stage was performed in three stages of open and axial and selective coding to identify the desired pattern of dissertation supervision. Validation of the research process and findings was done through continuous comparison strategies, member participation, peer review, explanation of note-taking methods, and reporting. The results show that the optimal model of dissertation supervision consists of general, individual (supervisor) and organizational categories. Also, the individual category has the main structural and supportive categories and the organizational category also has the main planning and learning categories. It is recommended to pay attention to the items extracted from the general individual and organizational category to improve the dissertation monitoring process