The most important topic for psychologist generally is factor of education and it's active tools because learning needs active perception for stimulus that recived by the educator and give it avalue and meaning , Need for cognition is
very important in the various daily fields of life , especially in learning and teaching and the academy work , it help with shifting the learning level for people , and icreas the intense and challenge between them
The research endeavored to achieve the following aim :
1- Measuring the level of peripheral perception for the university student .
2- Measuring the level of need for cognition for the university student .
3- Measuring the level of peripheral perception for the university student according to gender .
4- Measuring the level of need for cognition for the university student according to gender .5- Finding the relationship between both variables (peripheral perception) and (need for cognition) for the university students .
The two scales are applied to sample consisted of (100) male and female students of the university student / al jadriya compound exclusively for reasons mentioned with in the current research , and for psychometric properties of the test of peripheral perception it has high validity and reliability and to extract the psychometric properties of the scales of need for cognition is applied to sample consisted of (200) male and female students of the university students , after applying both research tools to the sample and data analysis , the study has arrived at the following result .
The sample of the research males have (field of vision , power of focus , divided attention , reaction time to stimuli) more than the females , but there was no differences between males and females according to (emotional maturity) .
The sample of the research have higher need for cognition .
And there is appositive relationship between (field of vision and emotional maturity) and the variable of need for cognition and there is negative relationship between (power of focus , divided attention , reaction time to stimuli) and the variable of need for cognition .
In this work , an effective procedure of Box-Behnken based-ANN (Artificial Neural Network) and GA (Genetic Algorithm) has been utilized for finding the optimum conditions of wt.% of doping elements (Ce,Y, and Ge) doped-aluminizing-chromizing of Incoloy 800H . ANN and Box-Behnken design method have been implanted for minimizing hot corrosion rate kp (10-12g2.cm-4.s-1) in Incoloy 800H at 900oC . ANN was used for estimating the predicted values of hot corrosion rate kp (10-12g2.cm-4.s-1) . The optimal wt.% of doping elements combination to obtain minimum hot corrosion rate was calculated using genetic alg
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This study is considered important because it deals with one of the vital topics nowadays, namely: how to make it possible to use a distributed informat
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