prediction of teachers' assessment of students' performance in math and sciences subjects based on meeker's cognitive abilities test among the school students

introduction: the purpose of this research was to predicate the teachers&apos; assessments of the school-students&apos; performances in math & sciences fields according to meeker&apos;s cognitive abilities test. these subscales are based on guilford&apos;s intelligence model. these tests identify the comprehensive profile of advantages and disadvantages of cognitive abilities. after performing the tests, specific training interventions can be provided to individuals. materials & methods: through the research, 60 boys and girls among the elementary school-students were selected randomly .statistical method of multiple regression was used. prediction variables were meeker&apos;s test 26 subscales, and the criterion variable was the teacher&apos;s assessment. findings: regression analysis showed that the best predicting variable of the students&apos; empowerment in math subjects was nss (p<0.001), cmu (p<0.001), css (p<0.02) and dfu (p<0.04). furthermore, the best predictors of student empowerments in sciences subject were ess (p<0.001) and dsr (p<0.03). discussion & conclusion: it is possible to identify the students&apos; empowerments via meeker&apos;s cognitive abilities test, and if there are any potential deficiencies, they may be removed by appropriate early interventions and educations.