The Effectiveness of a Teaching System based on the Artificial Intelligence in developing a Deep Understanding of Nuclear Reactions and Self-Directed Learning Readiness among Secondary Stage Students

Document Type : Original Article

Authors

1 Professor of Curricula and Teaching Methods of Science - Faculty of Education - Ain Shams University

2 Lecturer of Curricula and Teaching Methods of Science - College of Education - Ain Shams University

Abstract

The current research aimed to identify the effectiveness of a teaching system based on the artificial intelligence in developing a deep understanding of nuclear reactions and Sself-directed learning readiness among secondary stage students. To achieve this goal, the research teamprepared a system based on artificial intelligence to teach the unit of nuclear chemistry with a first-grade secondary curriculum, Research tools have also been built, which are a deep understanding test of nuclear reactions and a scale of self-directed learning readiness. To verify the effectiveness of the teaching system, a group of 65 students from the first grade secondary class was selected and divided into an experimental group that studied the nuclear chemistry unit using the teaching system based on artificial intelligence, and another control group studied the same unit in the traditional way. Research tools were applied before and after studying the unit. The results of the research showed that there is a statistical significant difference between the mean scores of students of the experimental group and the control group in the post application of the research tools in favor of the experimental group, as well as the presence of a statistically significant difference between the mean scores of the students of the experimental group in the pre and post applications of the research tools in favor of the post application. This indicates the effectiveness of the teaching system based on artificial intelligence in developing a deep understanding of nuclear reactions and self-directed learning readiness among secondary stage students.
The current research aimed to identify the effectiveness of a teaching system based on the artificial intelligence in developing a deep understanding of nuclear reactions and Sself-directed learning readiness among secondary stage students. To achieve this goal, the research teamprepared a system based on artificial intelligence to teach the unit of nuclear chemistry with a first-grade secondary curriculum, Research tools have also been built, which are a deep understanding test of nuclear reactions and a scale of self-directed learning readiness. To verify the effectiveness of the teaching system, a group of 65 students from the first grade secondary class was selected and divided into an experimental group that studied the nuclear chemistry unit using the teaching system based on artificial intelligence, and another control group studied the same unit in the traditional way. Research tools were applied before and after studying the unit. The results of the research showed that there is a statistical significant difference between the mean scores of students of the experimental group and the control group in the post application of the research tools in favor of the experimental group, as well as the presence of a statistically significant difference between the mean scores of the students of the experimental group in the pre and post applications of the research tools in favor of the post application. This indicates the effectiveness of the teaching system based on artificial intelligence in developing a deep understanding of nuclear reactions and self-directed learning readiness among secondary stage students.
 
keywords:  Teaching System - Artificial Intelligence - Deep understanding - Self-Directed Learning Readiness

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