AI与虚拟仿真技术深度融合赋能小学个性化学习：困境解析与路径重构

The Deep Integration of AI and Virtual Simulation Technology Empowers Personalized Learning in Primary Schools: Analysis of Challenges and Reconfiguration of Paths

摘要: 在数字化转型背景下，AI与虚拟仿真技术为小学个性化学习提供了新路径，但面临三重困境：教育整合中教师理念与模式重构滞后，技术协同中存在数据孤岛与算法偏见，资源生态上受成本高与内容稀缺制约。对此，本研究提出系统性突破路径：教育层面推动以学习者为中心的课程重构与教师发展；技术层面构建数据安全、算法透明的可信环境；资源层面建立标准引领、协同共享的可持续生态，以推动技术从工具应用走向深度融合，为教育实践提供参考。

Abstract: Against the backdrop of digital transformation, Artificial Intelligence (AI) and virtual simulation technologies have opened up novel avenues for personalized learning in primary schools. However, they are confronted with three-fold predicaments: the lagging reconstruction of teachers’ pedagogical beliefs and instructional models during educational integration; the presence of data silos and algorithmic biases in technological synergy; and the constraints imposed by high costs and content scarcity in the resource ecosystem. In response to these challenges, this study puts forward systematic breakthrough strategies: at the educational dimension, advancing learner-centered curriculum restructuring and teacher professional development; at the technological dimension, constructing a trustworthy environment featuring data security and algorithmic transparency; and at the resource dimension, establishing a sustainable ecosystem guided by standards and underpinned by collaborative sharing. The ultimate goal is to facilitate the transition of technology from a tool-based application to deep integration, thereby providing a reference for educational practice.