The Potential of Artificial Intelligence in Personalizing Learning Experiences for Students in Remote Chinese Regions

This study investigates the potential of artificial intelligence (AI) in personalizing learning for students in remote Chinese regions, a context characterized by significant educational disparities and resource scarcity. Using a quantitative quasi-experimental design with a pre-test/post-test control group, the research evaluated the impact of an AI-powered personalized learning platform over a six-month period. The sample consisted of middle school students and teachers in an underserved rural area. Key metrics included student academic performance, engagement levels, and teacher-reported workload and technology confidence. The findings reveal a statistically significant positive effect of the AI intervention. Students in the experimental group showed a remarkable 26.2% average score improvement, nearly double that of the control group. This was accompanied by a significant increase in student engagement, as evidenced by a higher post-test score on a motivational scale. Concurrently, teachers in the AI group reported a substantial reduction in time spent on grading and a marked increase in their confidence in using educational technology. The results suggest that AI offers a viable and effective strategy for bridging educational resource gaps, enhancing student outcomes, and empowering educators in geographically isolated and under-resourced environments. The study provides a strong empirical foundation for the strategic integration of AI into educational policy aimed at promoting equity.