职教通讯Issue(4)：70-76,7.
人工智能驱动的高职学生个性化学习路径规划:机制、困境与优化
Artificial Intelligence-Driven Personalized Learning Path Planning for Higher Vocational College Students:Mechanism,Dilemma,and Optimization
摘要
Abstract
Artificial Intelligence is profoundly transforming the education sector and providing new technical support for personalized learning path planning for higher vocational college students.Its generation mechanism covers such links as learning demand diagnosis,dynamic goal setting,precise resource recommendation,learning mode support and intelligent process regulation.However,in practice,this mechanism faces realistic dilemmas such as insufficient hputer collaboration literacy of teachers and students,inflexible curriculum system,rigid teaching organization form,untimely evaluation and feedback mechanism,and inadequate technical plauman-comtform support.Therefore,it is necessary to improve teachers'and students'digital literacy,reconstruct the flexible curriculum system,innovate teaching organization forms,reform the evaluation mechanism and upgrade the technical platform,so as to promote the personalized learning of higher vocational college students from the superficial application of technology to the in-depth reform of educational ecology.关键词
人工智能/高职学生/个性化学习/数据驱动/人机协同Key words
artificial intelligence/higher vocational college students/personalized learning/data-driven/human-computer collaboration分类
社会科学引用本文复制引用
牛婷,李中亮..人工智能驱动的高职学生个性化学习路径规划:机制、困境与优化[J].职教通讯,2026,(4):70-76,7.基金项目
2025年河南省高校人文社会科学研究一般项目"地方本科高校二级学院治理效能研究"(项目编号:2025-ZDJH-124) （项目编号:2025-ZDJH-124）
