现代教育技术2026，Vol.36Issue(8)：26-33,8.DOI:10.3969/j.issn.1009-8097.2026.08.003
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
The Value Implications,Basic Framework,and Practical Pathways of Digital-Intelligent Technology Empowering Learning Scenarios from the Perspective of Genetic Epistemology
摘要
Abstract
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.关键词
数智技术/学习场景/场景设计/认知进阶Key words
digital-intelligent technology/learning scenario/scenario design/cognitive advancement分类
社会科学引用本文复制引用
周佳玉,沈书生,杨现民..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[J].现代教育技术,2026,36(8):26-33,8.基金项目
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. （项目编号:CCA220319）
