首页|期刊导航|现代教育技术|认识发生视野下数智技术赋能学习场景的价值意蕴、基础框架与实践路径

认识发生视野下数智技术赋能学习场景的价值意蕴、基础框架与实践路径OA

The Value Implications,Basic Framework,and Practical Pathways of Digital-Intelligent Technology Empowering Learning Scenarios from the Perspective of Genetic Epistemology

中文摘要英文摘要

学习内容与真实世界脱节是当前教育面临的主要问题之一,也是影响学生认知发展的重要原因.文章立足于认识发生视野,阐释了学习场景支持认知发展的基本内涵,并从数智技术的演进逻辑出发,分析了数智技术赋能学习场景的价值意蕴.文章基于学习场景的边界、表征、交互与评价四个关键维度,结合认知激活、认知建构、认知迁移与认知提升四个进阶层次,围绕如何基于认识发生机制构建学习场景、如何彰显学习场景的认知进阶赋能作用、如何实现学习场景赋能认知进阶实践等方面,建立了数智技术赋能学习场景的基础框架.最后,文章从具身场域构建、资源精准供给、人智协同交互与数据驱动评价等方面提出了具体的实践路径,以期为破解应用误区、指导教学实践提供理论依据与路径指引.

The disconnection between learning content and the real world constitutes one of the main problems in current education,and it also serves as an important reason influencing students'cognitive development.Grounded from the perspective of genetic epistemology,this paper interprets the fundamental connotation of learning scenarios in supporting cognitive development and analyzes the value implications of digital-intelligent technology empowering learning scenarios starting from the evolutionary logic of digital-intelligent technology.Based on four key dimensions of learning scenarios including boundary,representation,interaction,evaluation,combined with four advanced levels including cognitive activation,cognitive construction,cognitive transfer,cognitive improvement,centering on how to construct learning scenarios based on genetic epistemology mechanism,how to highlight the empowering effect of learning scenarios on cognitive advancement,and how to realize the empowerment of learning scenarios for cognitive advancement practice,the basic framework of digital-intelligence technology empowering learning scenarios is established.Finally,this paper proposes specific practical pathways from the perspectives of embodied field construction,precise resource supply,human-AI collaborative interaction,and data-driven evaluation,so as to provide theoretical basis and path guidance for overcoming application misconceptions and informing teaching practices.

周佳玉;沈书生;杨现民

南京师范大学 教育科学学院,江苏 南京 210097南京师范大学 教育科学学院,江苏 南京 210097江苏师范大学 智能学习与评价江苏省产业技术工程化中心,江苏 徐州 221116

社会科学

数智技术学习场景场景设计认知进阶

digital-intelligent technologylearning scenarioscenario designcognitive advancement

《现代教育技术》 2026 (8)

26-33,8

本文为国家社会科学基金教育学青年项目"'双减'背景下学习空间价值创生赋能课堂教学的策略研究"(项目编号:CCA220319)、江苏省研究生科研与实践创新计划项目"AI赋能项目式学习的设计与实践研究"(项目编号:KYCX25_1852)的阶段性研究成果.

10.3969/j.issn.1009-8097.2026.08.003

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