The Survey of Deep Learning Indexes in the University of Guilan

The deep learning indexes consist of regarding to the independent learning, individual development learning, problem based learning, student reaction based learning, student team activities learning, student individual activities learning, student learning Skills and project activities learning. The research method is descriptiveanalytical. In qualitative part, some of academic staff members of Guilan University were interviewed and in qualitative part, students’ viewpoints were investigated in relation to academic staffs’ performances by using researcher-made questionnaire (with coefficient of Cronbach Alpha 85% for permanent and exerting the views of three academic staff members). In academic staff members’ selection, cluster sampling method has been used that 40 out of 400 were selected with using the Morgan table and for the assessment of academic staff members’ performance, 375 students were selected. The research findings in the qualitative part of the research showed that academic staff members emphasized on the importance of deep learning and its necessity. In quantitative part, on the basis of students’ viewpoints, the academic staff members with getting the score of 4.06, more than average 3.5 regarded to the deep learning indexes. Here were not significant in academic’ performances with respect to the faculty, academic level and age but they were significant split in gender and teaching experiences.