ERIC Number: EJ1458977
Record Type: Journal
Publication Date: 2025-Feb
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0266-4909
EISSN: EISSN-1365-2729
The Effect of AI-Based Systems on Mathematics Achievement in Rural Context: A Quantitative Study
Journal of Computer Assisted Learning, v41 n1 e13098 2025
Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics achievement through personalized learning experiences by adapting to student's needs. Existing studies have documented the positive impact of AI-based systems on mathematics achievement. However, there is a lack of research that has studied AI-based systems on students' mathematics achievement and engagement in rural settings. The present study addresses the existing literature gap by focusing on the AI-based Edmentum Exact Path, analyzing its effectiveness in enhancing mathematics achievement and engagement among 8th-grade students in rural schools in the Southern United States. By examining both cognitive and affective engagement, along with students' mathematics achievement, this research explores the role of AI-based systems in student learning. Objective: This study aims to explore the effectiveness of Edmentum Exact Path, an AI-based system, in improving 8th-grade students' mathematics achievement and affective and cognitive engagement in the Southern United States. Methods: This study utilized a quasi-experimental design involving 78 students from socioeconomically disadvantaged backgrounds, comparing those receiving supplemental Edmentum Exact Path-led instruction and traditional teacher-led methods to a control group receiving only the teacher-led instructions. Mathematics achievement was measured through pre-tests and post-tests, while student engagement was assessed using the 5-point Student Engagement Instrument (SEI). Statistical analysis was performed using t-tests and ANOVA. Results and Conclusions: The findings revealed statistically significant improvements in mathematics achievement for both the experimental and control groups. However, the group using teacher-led instruction showed a statistically significant improvement in affective engagement, while no statistically significant differences were observed in cognitive engagement between groups. Implications: The findings suggest that integrating AI-based systems like Edmentum Exact Path may enhance affective engagement in mathematics among students from rural areas. However, the impact on cognitive engagement remains unclear, indicating a need for further research. These results support the potential for integrating AI-based systems to enhance mathematics achievement in rural settings.
Descriptors: Mathematics Achievement, Rural Areas, Artificial Intelligence, Individualized Instruction, Technology Uses in Education, Middle School Mathematics, Middle School Students, Grade 8, Computer Software, Learner Engagement, Cognitive Processes
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education; Elementary Education; Grade 8
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A