Modeling and assessment of student effective supervision drivers

Drivers are motivating and provocative factors of the supervision process in complex, uncertain and fluctuating conditions to achieve student’s empowerment. The first purpose of this study is to evaluate the fit of the model of effective driving instruction for graduate and doctoral students and the second one is the pathology of the guidance process of this model. The research is done in ways of applied purpose and using survey and correlation research methods. The statistical population of the study was all graduate and doctoral students of Ferdowsi University of Mashhad, 494 of them were selected by available sampling method. The research instrument was a researcher-made questionnaire of effective guidance drivers. To analyze the data, simple linear regression, t-test and Friedman tests in SPSS software and structural equation modeling using partial least squares technique in PLS software were used. Findings showed the validity and reliability indices of measurement models, evaluation indices of structural models and general indices of the model that confirms the optimal fit of the effective guidance model. Also, the pathology of the student guidance process showed that the status of the drivers of guidance support and student acceptance are at a desirable level, however the organizational support drivers are at an unfavorable level. As a result, the effective guidance model is introduced as a comprehensive guidance model. Increasing the quality and effectiveness of guidance to empower students requires increased organizational support.