The role of academic curricula in deep learning among high school students, distinguished and outstanding students

Abstract

The aim of the research is to identify the role of scientific curricula in deep learning according to the variables of gender and the category of students among distinguished and outstanding high school students. It consisted of (36) items, and using the appropriate statistical methods according to the statistical package program (SPSS), the following results were reached: (relative weakness of the role of the curricula in deep learning for distinguished and outstanding students, and the presence of differences between males and females and in favor of males, and among the distinguished And the outstanding students and in favor of the outstanding students), and in the light of these results, a set of recommendations and proposals were presented.