基于混合机器学习的高校物理实验课程线上教学资源检索方法  

Online Teaching Resource Retrieval Method of College Physics Experiment Course Based on Hybrid Machine Learning

作　　者：付颖 FU Ying(Basic Teaching Department,Huanghe Jiaotong University,Wuzhi Henan 454950,China)

机构地区：[1]黄河交通学院基础教学部,河南武陟454950

出　　处：《信息与电脑》2024年第5期251-253,共3页Information & Computer

摘　　要：由于传统的线上教学资源检索方法往往返回大量无关的资源,导致用户难以筛选出真正有用的信息。为此,提出基于混合机器学习的高校物理实验课程线上教学资源检索方法。首先,获取线上教学资源的特征;其次,匹配教学资源的特征,建立相应的索引;最后,利用混合机器学习算法进行资源分配,定向检索并输出与用户需求匹配的教学资源。实验结果表明,使用基于混合机器学习的高校物理实验课程线上教学资源检索方法,用户能够检索到更多有价值的信息,提高资源检索效率。Because the traditional retrieval methods of online teaching resources often return a large number of irrelevant resources,it is difficult for users to filter out really useful information.Therefore,an online teaching resource retrieval method of college physics experiment course based on hybrid machine learning is proposed.Firstly,the characteristics of online teaching resources are obtained;Secondly,the characteristics of teaching resources are matched,and the corresponding index is established.Finally,the hybrid machine learning algorithm is used to allocate resources,directionally retrieve and output teaching resources that match the needs of users.The experimental results show that using online teaching resource retrieval method of college physics experiment course based on hybrid machine learning,users can retrieve more valuable information and improve the efficiency of resource retrieval.

关 键 词：混合机器学习 物理实验课程 线上教学资源 资源检索 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]