پيش بيني ارزيابي معلم از عملكرد دانش آموز در دروس رياضي و علوم با استفاده از آزمون تشخيص توانايي هاي شنهاختي ميكر

Prediction of Teachersʹ Assessment of Studentsʹ Performance in Math and Sciences Subjects Based on Meekerʹs Cognitive Abilities Test Among The School Students

Introduction: The purpose of this research was to predicate the teachersʹ assessments of the school-studentsʹ performances in Math & Sciences fields according to Meekerʹs Cognitive Abilities Test. These subscales are based on Guilfordʹs 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 Meekerʹs Test 26 subscales, and the criterion variable was the teacherʹs assessment. Findings: Regression analysis showed that the best predicting variable of the studentsʹ empowerment in Math subjects was NSS (P0.001), CMU (P0.001), CSS (P<0.02) and DFU (P<0.04). Furthermore, the best predictors of student empowerments in sciences subject were ESS (PO.OOl) and DSR (P<0.03). Discussion & Conclusion: It is possible to identify the studentsʹ empowerments via Meekerʹs Cognitive Abilities Test, and if there are any potential deficiencies, they may be removed by appropriate early interventions and educations.