基于决策树的GIS空间分析课程考核分析  

Assessment Analysis of GIS Spatial Analysis Course Based on Decision Tree

作　　者：扈廷锐 高怡凡 陈李 高培超 HU Tingrui;GAO Yifan;CHEN Li;GAO Peichao(Center for GeoData and Analysis,Faculty of Geographic Sciences,Beijing Normal University,Beijing 100875,China)

机构地区：[1]北京师范大学地理科学学部地理数据与应用分析中心,北京100875

出　　处：《地理空间信息》2024年第8期129-132,共4页Geospatial Information

基　　金：国家自然科学基金资助项目(41901316);北京师范大学2022年青年教师教学发展基金资助项目(2022117)。

摘　　要：随着教育部发布《普通高等学校本科专业类教学质量国家标准》,科学有效地考核分析对于提高教学质量,并进行教学改革变得尤为重要。常见的课程考核分析方法中,往往无法分析得出各个总评模块对学生成绩的具体影响作用,难以对教学改革产生直接的建议。使用Classifier 4.5算法和Error-Based Pruning策略对《GIS空间分析》课程的学生成绩进行决策树构建,并根据总体精度和Kappa系数对决策树进行准确性评估。根据决策树生成的分类规则并结合GIS空间分析的课程特性,分析得出学生课程学习中的薄弱环节。建议GIS空间分析课程引导学生更加重视在实践中综合运行理论知识,从而更好地达到课程教学目标。With the release of the National Standards for the Quality of Undergraduate Professional Teaching in Ordinary Higher Education by the Ministry of Education,scientific and practical assessment and analysis have become particularly important for improving teaching quality and carrying out teaching reforms.In common course assessment analysis methods,it is often difficult to analyze the specific impact of each overall evaluation module on students’grades,making it difficult to provide direct suggestions for teaching reform.We used the Classifier 4.5 algorithm and Error-based Pruning strategy to construct a decision tree for students’scores in GIS Spatial Analysis,and evaluated the accuracy of decision tree according to the overall accuracy and Kappa coefficient.According to the classification rules generated by the decision tree and GIS Spatial Analysis course characteristics,we analyzed the weak links in students’curriculum learning.The GIS Spatial Analysis course should guide students to pay more attention to the comprehensive operation of theoretical knowledge in practice to achieve the teaching objectives of the study better.

关 键 词：教育改革 考核分析 决策树 C4.5算法 EBP策略 

分 类 号：P208[天文地球—地图制图学与地理信息工程]