生成式人工智能重塑开放教育教学场景

Generative Artificial Intelligence Reshapes Teaching Scenarios in Open Education

摘要: 《教育强国建设规划纲要(2024~2035年)》明确提出推进教育数字化转型，而开放教育作为其关键阵地，正面临教学模式创新的迫切需求。生成式人工智能凭借其强大的内容生成、情境构建与个性化交互能力，为开放教育的深度变革提供了历史性机遇。文章系统探讨了生成式AI重塑开放教育教学场景的核心路径。首先，从资源生成、交互模式、评价方式、实践场域四个层面，剖析了教学场景重塑的典型样态。其次，构建了效率提升、质量优化、公平促进三维价值评估体系，深入阐述了生成式AI的育人价值。最后，针对当前应用中存在的场景融合浅层化、质量管控缺失、支持体系薄弱等现实困境，提出了构建精准化资源生成模式、打造智能化交互支持体系、创新过程性评价机制、建立多层次质量保障与师生赋能路径等一系列可操作的实践方案。旨在为开放教育机构系统化、规范化、高效化地应用生成式AI提供理论指引与实践框架，助力构建泛在、个性、高质量的终身学习体系。

Abstract: The “Education Power Construction Plan Outline (2024~2035)” explicitly proposes advancing the digital transformation of education. As a key front in this effort, open education faces an urgent need for teaching model innovation. Generative Artificial Intelligence, with its powerful capabilities in content generation, context creation, and personalized interaction, provides a historic opportunity for the deep transformation of open education. This paper systematically explores the core pathways for Generative AI to reshape teaching scenarios in open education. Firstly, it analyzes the typical manifestations of reshaped teaching scenarios from four levels: resource generation, interaction modes, evaluation methods, and practical fields. Secondly, it constructs a three-dimensional value evaluation system encompassing efficiency enhancement, quality optimization, and equity promotion, and elaborates on the educational value of Generative AI. Finally, addressing practical challenges in current applications, such as superficial integration of scenarios, lack of quality control, and weak support systems, it proposes a series of actionable practical solutions. These include building a precision resource generation model, creating an intelligent interactive support system, innovating process evaluation mechanisms, and establishing multi-level quality assurance and teacher-student empowerment pathways. The aim is to provide theoretical guidance and a practical framework for the systematic, standardized, and efficient application of Generative AI in open education institutions, and to contribute to the construction of a ubiquitous, personalized, and high-quality lifelong learning system.