The Impact of AI-Driven Personalized Learning on Mathematics Achievement and Student Engagement in Rural vs. Urban Schools in Karnataka, India
KHRITISH SWARGIARY
Jun 2024 · GOOGLE
Ebook
21
Pages
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About this ebook
This empirical study examines the impact of AI-driven personalized learning platforms on mathematics achievement and student engagement among middle school students in rural and urban schools in Karnataka, India. Utilizing a quasi-experimental design, the study involved 400 students (200 rural, 200 urban), split into control and experimental groups. Pre-test and post-test assessments were conducted using standardized mathematics tests, engagement surveys, classroom observations, and AI platform analytics. Results showed significant improvements in post-test scores for the experimental groups using AI platforms compared to control groups in both settings (p < 0.001). Specifically, rural experimental group scores improved from a pre-test mean of 62.5 to a post-test mean of 78.3, while urban experimental group scores increased from 68.2 to 83.9. Engagement levels were also higher in experimental groups, with rural students scoring 78.5 on engagement surveys compared to 65.2 in the control group, and urban students scoring 82.1 compared to 69.8. However, rural schools reported greater challenges in implementation, including inadequate internet connectivity (78% vs. 32%, p < 0.001) and lack of devices (65% vs. 28%, p < 0.001). These findings suggest that while AI-driven platforms significantly enhance educational outcomes, tailored strategies are necessary to address the distinct challenges faced by rural schools. Recommendations include improving rural infrastructure, expanding teacher training, and fostering supportive environments to maximize the benefits of AI-driven personalized learning.
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