Big Data and AI-Driven Construction Strategies and Effectiveness Research of Personalized Learning Platforms in County-Level High Schools

在乡村振兴与教育数字化战略背景下，县域高中面临资源不均衡、教学模式单一等瓶颈。本研究以新媒体技术为支撑，探索基于大数据与人工智能的个性化学习平台构建路径。通过数据驱动型教学决策模型、动态资源推送算法及双师协同机制，实现“精准教、个性学、智能评”。实践表明，该平台显著提升学生自主学习能力和学科平均分，为县域教育优质发展提供理论模型和数据。Under the dual strategic backdrop of rural revitalization and educational digitalization, county-level high schools confront bottlenecks such as uneven resource distribution and monotonous teaching models. This study leverages new media technologies to explore pathways for constructing personalized learning platforms powered by big data and artificial intelligence. Through a data-driven instructional decision-making model, dynamic resource allocation algorithms, and a dual-teacher collaboration mechanism, we achieve “precision teaching, personalized learning, and intelligent assessment”. Empirical evidence demonstrates that the platform significantly enhances students’ self-directed learning capabilities and subject average scores, providing both a theoretical framework and empirical support for quality educational development in county regions.