山东理工大学学报（自然科学版）2025，Vol.39Issue(4)：35-40,46,7.
基于数据挖掘的虚拟仿真实训个性化学习资源推荐算法
A personalized learning resource recommendation algorithm for virtual simulation training based on data mining
摘要
Abstract
The existing learning resource recommendation algorithms lack effective data mining,and the recommendation results cannot fully meet the needs of users.Therefore,a personalized learning resource recommendation algorithm based on data mining for virtual simulation training is proposed.Firstly,virtual simulation technology is used to conduct in-depth analysis of learning resources and summarize their char-acteristics.Then,personalized learning resource features are extracted through data functions,and ab-normal data is monitored in real-time to reduce errors.Finally,the algorithm combines user preference features with user needs to form data matching points,achieving personalized learning resource recom-mendation for virtual simulation training.The experimental results show that when testing 12 000 learning data,the proposed algorithm has reduced the computation time by 60.4%compared to deep learning en-semble algorithms and by 53.1%compared to collaborative filtering personalized recommendation algo-rithms,effectively improving the efficiency of personalized learning resource recommendation.Meanwhile,the proposed algorithm maintains the detection rate of abnormal data at around 90%,which is 20%higher than the detection rate of comparative algorithms.关键词
数据挖掘/虚拟仿真/个性化学习资源/推荐算法Key words
data mining/virtual simulation/personalized learning resources/recommendation algo-rithm分类
信息技术与安全科学引用本文复制引用
童绪军,陈涛..基于数据挖掘的虚拟仿真实训个性化学习资源推荐算法[J].山东理工大学学报（自然科学版）,2025,39(4):35-40,46,7.基金项目
安徽省高校科学研究一般项目(ZR2021B002) （ZR2021B002）
安徽省高等学校质量工程项目(2022kcsz150,2022xnfzjd012) （2022kcsz150,2022xnfzjd012）
