AI驱动下高职数学个性化自适应学习模式构建探究  

Exploration into the Construction of Personalized Adaptive Learning Mode in Higher Vocational Mathematics Driven by AI

作　　者：陈红红[1] Honghong Chen(Inner Mongolia Agricultural University Vocational and Technical College,Baotou,Inner Mongolia 014109)

机构地区：[1]内蒙古农业大学职业技术学院,内蒙古包头014109

出　　处：《教育思想理论研究》2025年第3期51-53,共3页Research on Educational Thought Theory

基　　金：内蒙古农业大学职业技术学院计算机数学一流课程建设项目(202106HH06)。

摘　　要：人工智能技术的快速发展正深刻影响着教育领域。本文基于人工智能的自适应学习理念,探索在高职数学课程中构建个性化自适应学习模式,以期提升学生的数学学习体验和效果。首先阐述人工智能自适应学习的内涵,然后结合高职数学教学的特点,从学情分析、学习路径优化、学习资源推送、过程性评估等维度构建个性化自适应学习模式,并以《高等数学》教材中的重点案例为依托进行教学设计与应用实践。最后总结AI驱动下高职数学个性化自适应学习的实施要点、效果反思与未来展望,以期为相关教学实践提供参考。The rapid development of artificial intelligence technology is profoundly influencing the field of education.Based on the concept of AI-driven adaptive learning,this paper explores the construction of a personalized adaptive learning model for mathematics courses in vocational colleges,aiming to enhance students'mathematics learning experience and effectiveness.The paper first elaborates on the conno-tation of AI adaptive learning,then combines the characteristics of mathematics teaching in vocational colleges to construct a personalized adaptive learning model from dimensions such as learning situation analysis,learning path optimization,learning resource delivery,and process-based assessment.Teaching design and practical application are conducted based on key cases from the"Higher Mathematics"textbook.Finally,the paper summarizes the implementation points,effect reflections,and future prospects of AI-driven personalized adap-tive learning in vocational mathematics,providing references for related teaching practices.

关 键 词：人工智能 自适应学习 个性化学习 高职数学 

分 类 号：G718.5[文化科学—职业技术教育学]