القيمة التنبؤية بالإبداع في ضوء بعض المتغيرات المعرفية والدافعية والسياقية لدى طلاب كل من جامعة عين شمس والجامعة الأمريكية


Ar

The research aimed to determine the predictive value of engineering creativity in the light of both Dialectical thinking. Creative self-efficacy. Efficiency of dealing with cognitive anxiety and creative climate and know whether this value varies by the University of Ain Shams American. The study sample consisted of 300 male and female students from the Faculty of Engineering from Ain Shams University and American University, 200 students from Ain Shams University, 100 students from the American Univeisity (AUC) and 23 raters from the Faculty of Engineering (15 raters from stuff of Faculty of Engineering Ain Shams on graduation projects of some students) (8 raters from stuff of Faculty of Engineering American University (AUC) on graduation projects of some students of the Faculty of Engineering American University). The following tools were applied to the sample: the list of rules for estimating the creative output: prepared by Dean. Hender, Rodgers & Sndtanen (2006), the tasks of the dialectical thinking (preparation of the researcher), creative self-efficacy questionnaire (researcher’s preparation) Efficiency of dealing with cognitive anxiety questionnaire (the researcher’s preparation), the Creative Climate questionnaire (researcher’s preparation). It was used multiple regression analysis to answer the questions of the study and make sure from hypotheses. Study concluded that creative self-efficacy and Dialectical thinking and Efficiency of dealing with cognitive anxiety contribute to the prediction of creative engineering, and they explain about 40% of the value of total variation in creativity in the two universities together. The regression equation that helps predict creativity is the following: The expected value of (creativity) = 9.509 (regression constant) + 0.114 (creative self-efficacy)+ 0.932 (cognitive anxiety efficiency) - 0.017 (creative climate) + 0.433 dialectical thinking and predictive values vary according to each university separately, as the creative climate predicts creativity engineering students at the American University of Engineering: which explains 30.5% of the value of total variation in creativity, while the creative self-efficacy predict engineering creativity of the students are Study of Ain Shams, where explain about 55.2% of variation in creativity. The regression equation that helps predict creativity is the following for the American University: The expected value of (creativity) = 19.84 (regression constant) -0.04 (creative self-efficacy) + 0.05 (cognitive anxiety efficiency) + 0.09 creative climate +0.18 dialectical thinking). For Ain Shams University: The expected value of (creativity)= -0.41 (regression constant) +0.22 (creative self- efficacy) +0.10 (cognitive anxiety efficiency) +0.03. Creative climate +0.35 dialectical thinking. (Author’s abstract)