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OA

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.