基于决策树分类算法的高校远程教学质量评估研究  

Research on university distance teaching quality evaluationbased on decision tree classification algorithm

作　　者：甘甜[1] GAN Tian(Hulunbuir University,Hulunbuir 021008,China)

机构地区：[1]呼伦贝尔学院,内蒙古呼伦贝尔021008

出　　处：《现代电子技术》2021年第9期171-175,共5页Modern Electronics Technique

摘　　要：由于高校远程教学质量与多种因素相关,具有复杂多变的特点,而传统高校远程教学质量评估方法没有该变化特点,因此导致高校远程教学质量评估误差极大,无法适应现代高校远程教学质量控制的实际要求。为了提高高校远程教学质量评估效果,提出基于决策树分类算法的高校远程教学质量评估方法。首先分析高校远程教学质量评估原理,设计相应的高校远程教学质量评估功能模块;然后分别对高校远程教学质量评估系统的硬件和软件进行评细设计;最后与当前其他高校远程教学质量评估系统进行对比实验。结果表明,文中设计的高校远程教学质量评估系统的工作效率能够适应现代高校远程教学发展趋势,同时高校远程教学质量评估精度高,解决了当前高校远程教学质量评估误差大的难题,具有较高的实际应用价值。The quality of distance teaching in colleges and universities is related to many factors and has the characteristics of complexity and changeability.However,the traditional evaluation methods for university distance teaching does not take account of the above characteristics,so their evaluation errors are too large,and they fail to meet the actual quality control requirements of the modern university distance teaching.Therefore,a distance teaching quality evaluation method based on decision tree classification algorithm is designed to improve the evaluation effects.The principles of the university distance teaching quality evaluation are analyzed and its function modules are designed correspondingly.The hardware and software of the evaluation system are designed in detail.A comparative experiment was carried out to compare the designed system with the other distance teaching quality evaluation systems.The results show that the working efficiency of the system designed in this paper can adapt to the development trend of distance teaching in modern universities.In addition,its evaluation precision is high,which can solve the problem of large error existing in the current university distance teaching quality evaluation.Therefore,the system has a high practical value.

关 键 词：教学质量评估 高校远程教育 决策树分类算法 功能模块设计 评估原理分析 对比实验 

分 类 号：TN911.1-34[电子电信—通信与信息系统] TP311[电子电信—信息与通信工程]