The role of artificial intelligence in enhancing linear equation modeling and Its Applications for Science-Stream Students

Abstract

This study aims to investigate the impact of using artificial intelligence (AI) techniques on improving students' achievement and understanding of mathematics, identify obstacles and challenges to using these techniques in teaching, and propose solutions to overcome them. The study employs an applied analytical methodology consisting of pre- and post-tests administered to a group of 60 students, divided into two groups: a control group of 30 students and an experimental group of 30 students. Both groups received 90 days of training in using AI techniques to solve a set of linear equations. All students then underwent pre- and post-tests, followed by a questionnaire administered to the experimental group. The results were then statistically analyzed to evaluate the role of AI techniques in improving students' understanding and achievement. The results indicated an increase in achievement levels ranging from 20% to 40%, depending on individual student abilities, with an average achievement increase of 30%. The questionnaire results also indicated an improvement in students' achievement and understanding of problems related to linear equations, which aligns with the pre-test results. Therefore, the study recommends integrating artificial intelligence (AI) technologies into teaching in general, with the aim of improving overall comprehension and academic achievement, particularly in mathematics. The world continues to witness tremendous advancements in AI and computing technologies.