重庆高教研究2025，Vol.13Issue(3)：38-47,10.DOI:10.15998/j.cnki.issn1673-8012.2025.03.004
生成式人工智能驱动教育变革:机制、风险及应对
The Mechanisms,Risks and Responses of Generative Artificial Intelligence Driving Educational Transformation:Taking DeepSeek as an Example
摘要
Abstract
The rapid advancement of technology is propelling continual progress in artificial intelligence,exemplified by generative AI systems like DeepSeek,which are sparking a cognitive revolution in the educational sector.DeepSeek leverages a sophisticated architecture that integrates a dynamic routing mechanism for hybrid expert systems,a reasoning verification framework based on group relative strategy optimization,and interpretable chain reasoning technologies,creating a comprehensive technological loop characterized by"precision scheduling,reasoning enhancement,and cognitive expression."The innovation transforms general content production tools into cognitive partners capable of interdisciplinary thinking,facilitating a paradigm shift from mere"machine-assisted"functions to a"human-machine co-intelligence"approach.With its strong natural language understanding and cross-modal content generation capabilities,DeepSeek promotes the construction of personalized,diversified,and dynamic teaching systems;in the"learning"dimension,it assists in creating immersive,autonomous,and visual learning forms;in the"nurturing"dimension,it helps to reshape the nurturing philosophy that prioritizes abilities and values.However,while technological innovation supports educational transformation in schools,it also brings significant risks,such as the impact to the foundations of education by false information,the erosion of educational nurturing functions by implicit biases,the suppression of individual development by cognitive dependence,and the threat to educational privacy security by data leaks.Therefore,it is necessary to activate the empowerment code of generative artificial intelligence from the aspects such as constructing an advanced system of AI literacy for teachers and students,creating a new educational ecosystem of"teacher-machine-student"collaborative progress,and building a transparent and fair regulatory system,to help promote the positive transformation of educational digitalization and lay a solid foundation for cultivating innovative talents adaptable to the future society.关键词
DeepSeek/生成式人工智能/教育变革/教学体系/学习形态/育人理念Key words
DeepSeek/generative artificial intelligence/educational transformation/educational system/learning patterns/educational concept分类
社会科学引用本文复制引用
郭蕾蕾..生成式人工智能驱动教育变革:机制、风险及应对[J].重庆高教研究,2025,13(3):38-47,10.基金项目
国家自然科学基金青年基金项目"意义追求对可持续消费行为的影响及作用机制:基于消费全过程视角"(72302242) （72302242）
