职业技术教育2026，Vol.47Issue(14)：58-65,8.
人工智能背景下技术知识学习效能提升研究
Research on the Efficiency Improvement of Technical Knowledge Learning in the Context of Artificial Intelligence
摘要
Abstract
Artifical intelligence reshapes the learning paradigm of technical knowledge by simulating human cognitive model,especially in knowledge production,integration,acquisition and migration.However,this process is also accompanied by multiple hidden worries:cognitive outsourcing may weaken learners'independent judgment ability,and it becomes more difficult to understand and transmit"tacit knowledge".The self-awareness of learners is at risk of being weakened,and the evaluation system is prone to"adaptation crisis".In order to cope with the above challenges,a smart learning space featuring human-computer synergy should be constructed to promote the deep integration of cognition and experience;adaptive professional clusters and curriculum systems should be developed to facilitate the synchronous advancement of knowledge acquisition and competency development;knowledge tracking functions should be leveraged,with modular projects serving as the guide to steer learning toward deep learning;and big data and metadata should be comprehensively utilized to build a smart growth model,thereby enhancing technical comprehension and self-efficacy,and realizing the balanced development and humanistic return of technical knowledge learning in the intelligent era.关键词
人工智能/技术知识/智慧模型/学习效能Key words
artificial intelligence/technical knowledge/intelligent model/learning efficacy分类
社会科学引用本文复制引用
李月..人工智能背景下技术知识学习效能提升研究[J].职业技术教育,2026,47(14):58-65,8.基金项目
2025 年度浙江经济职业技术学院校级课 题"数智时代红色记忆赓续传承研究"(X2025092),主持人:李月 （X2025092）
2025年度重庆市教育科学"十四五"规划一般课题"教育家精神赋能职业教育教师师德观的实施路径研究"(K25YG3230195),主持人:陈敏 （K25YG3230195）
2026年宁波大学教改类一般项目"大中小学思政课协同创新的系统化构建研究",主持人:周梦瑶 （）
