Abstract

This study explores the application of artificial intelligence (AI) technology in promoting inclusive learning in underserved schools. By integrating personalised learning platforms, intelligent tutoring systems, and automated management tools, this research evaluates the impact of AI on academic performance, learning engagement, and teacher workload. The experimental results show that AI-driven personalised learning paths and real-time feedback mechanisms significantly improved student learning outcomes, particularly in subjects such as mathematics and science. In addition, teachers' administrative burdens were effectively reduced through automated tools. The study also analyses challenges such as insufficient infrastructure and data privacy protection, proposing targeted technical solutions. This paper provides practical guidance for policymakers and educational institutions to promote the implementation of AI technology in low-resource environments.

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