درخت حوزه‌های تخصصی

This research has been designed and implemented with the aim of determining the arbitrariness of thinking styles with creativity, orientation Tendency to innovation and academic motivation in students. The research method was descriptive-correlational and the sample consisted of 309 undergraduate students in the department of Islamic Azad University, Kermanshah, which was selected by stratified random sampling method. They are in this research, we used the Sternberg-Wagner thinking styles questionnaire to determine the style of thinking and also to assess the creativity of Randsip's standardized questionnaire. To determine the tendency for innovation, a researcher-made questionnaire with Likert's comparison and also to assess the degree of academic motivation The standard questionnaire (Valerand) has been used. The collected data were analyzed using descriptive statistical methods including mean, mean, faces, variance, standard deviation, tables and graphs of inferential statistics including multivariate regression. The results of the research show that there is a significant relationship between the modes of thinking, external, exequatur, legislator, individualist, jirgas, conservative, informal, conservative, there is no positive and significant relationship between creativity and open mindedness of secretary, internal, general, and versatility. There is also a positive and significant relationship between all styles of thinking with tendency to innovation. With educational motivation, there was a significant relationship between general and supportive thinking styles, while in other styles there was no meaningful relationship with academic motivation. Based on this, it is suggested to guide and encourage students to pay attention Creativity and innovation, as well as academic motivation in universities and educational institutions, should be designed and implemented in accordance with the type and style of thinking of students. Also, the creativity of innovation and motivation for exploitation in the environments based on these components is maximized.