Effective Teaching Model in University Based on the Faculty Member’s Views

The aim of this study is Modeling Effective Teaching of Faculty Members Based on Artificial Neural Network analysis by using faculty member’s views.

This study has practical purpose and in terms of research methods was combined and Hybrid-type exploration projects.. The statistical population of the research is the professors of Islamic Azad University of Orumieh Branch. In the qualitative part of the study, 15 faculty members were interviewed through a targeted sampling method and up to the stage of theoretical saturation. In the quantitative part, 137 faculty members were selected as sample using the Cochran sample size formula and stratified random sampling. Two types of semi-structured interviews and a researcher-made questionnaire were used to collect data and information. Validity and reliability of the questionnaire were established.

The quality section finding showed that effective teaching had five main dimensions including instructor individual characteristics, Communicative skills, teaching and class management skills, evaluation skills. The results of sensitivity analysis of ANN modeling showed that communication skills had the highest sensitivity at effective teaching quality from faculty member's viewpoints; respectively personal charectricties had the highest sensitivity in effective teaching from students' viewpoints. Conclution: Based on the findings of the research, it can be concluded that paying attention to creating and strengthening the human relations and the power to establish effective communication with the student in planning for the education and appointment and maintenance of university professors in effective teaching of professors is effective.