A Quantitative Analysis of the Impact of AI-Based Systems on Mathematical Performance in Rural Areas

Abstract

History: Students in grades K-12 continue to struggle with mathematics, even though there have been many improvements in the
field. This is especially true in rural regions where resources are few and instructors lack the necessary expertise. There is mounting
evidence that AI-based systems may improve students' mathematical performance by tailoring their learning experiences to each
individual's strengths and weaknesses, which has led to their widespread use as a means of accommodating students' varied
learning styles. Previous research has shown that AI-based systems may improve students' mathematical performance. Students'
involvement and performance in mathematics in rural areas have not been well investigated by studies examining AI-based
systems. This research fills a need in the literature by investigating the efficacy of the artificial intelligence (AI) platform
Edmentum Exact Path in improving eighth graders' mathematical engagement and performance in rural Southern schools. This
study investigates the function of AI-based systems in the education of students by investigating their emotional and intellectual
involvement, as well as their performance in mathematics.
The purpose of this research is to determine whether or whether the artificial intelligence (AI) system Edmentum Exact Path can
raise the mathematical proficiency, emotional investment, and critical thinking of eighth graders in the American South.
The research team used a quasi-experimental design to examine the effects of supplementing students' education with Edmentum
Exact Path and traditional teacher-led methods on their performance compared to a control group that received only teacher-led
instruction. The 78 students in the study came from economically disadvantaged backgrounds. Pre- and post-tests were used to
evaluate mathematical performance, while the 5-point Student involvement Instrument (SEI) was used to measure student
involvement. In order to conduct the statistical analysis, t-tests and ANOVA were used.
Final Thoughts and Findings: Both the test and control groups showed statistically significant gains in mathematical performance.
There were no statistically significant changes in cognitive involvement across the groups, but there was a statistically significant
improvement in emotional engagement in the group that used teacher-led teaching.
Implications: The results imply that rural students' emotional investment in mathematics might be improved by using AI-based
solutions such as Edmentum Exact Path. There has to be further investigation on the effect on cognitive engagement, however.
These findings provide credence to the idea that rural areas may benefit from the use of AI-based solutions to raise students'
arithmetic