摘要
文章针对中职信息技术课程教学中的个性化需求,构建了融合知识图谱与深度强化学习的个性化学习系统。该系统结合课程标准的细粒度知识图谱,通过改进的协同过滤算法实现学习资源推荐,同时支持个性化学习路径生成,有效提升了不同水平学生的学习完成度,为职业教育数字化转型提供了新范式。
According to the individualized demands in the teaching of secondary vocational information technology,the article constructs an individualized learning system that integrates knowledge graphs and deep reinforcement learning.Combined with the fine-grained knowledge graph of curriculum standards,the system realizes the recommendation of learning resources through the improved collaborative filtering algorithm and supports the generation of individualized learning pathways,which effectively improves the learning completion of students at different levels and provides a new paradigm for the digital transformation of vocational education.
作者
衣岩
YI Yan(Fujian Fuzhou Vocational School of Finance,Fuzhou Fujian 350000,China)
出处
《信息与电脑》
2025年第21期209-211,共3页
Information & Computer
关键词
人工智能
中职信息技术
个性化学习系统
知识图谱
协同过滤算法
artificial intelligence
secondary vocational information technology
individualized learning system
knowledge graph
collaborative filtering algorithm
