图核算法在学生成绩评价中的应用  

Application of Graph Kernel in the Evaluation of Student Grades

作　　者：倪莉[1] NI Li(Anhui University,Hefei Anhui 230601,China)

机构地区：[1]安徽大学计算机科学与技术学院,安徽合肥230601

出　　处：《铜陵学院学报》2022年第4期75-77,101,共4页Journal of Tongling University

基　　金：国家自然科学基金青年项目“面向位置社交网络的局部社区发现及演化研究”(62106004);安徽省自然科学基金青年项目“面向位置社交网络的局部重叠社区发现方法研究”(2108085QF273)。

摘　　要：学生成绩评价是检验教学目标实现与否的一种重要手段,是教学管理过程中至关重要的环节。一个常见手段是将学生的考试分数作为学生成绩。虽然可以通过统计每一份试卷的每个小题目来反映学生知识掌握情况,但统计的信息是零散的,无法展示错题之间的逻辑性,不能详细地展示学生在整个课程知识体系上的知识缺陷。为此,文章首次将图核用于学生成绩评价中,构建了基于图核的成绩评价模型。该模型首先构建学习情况图来可视化学生知识体系的薄弱环节。在学习情况图基础上,计算综合指数来从课程知识体系的层面度量学生的知识覆盖率,其可以作为学生成绩的辅助信息。以Python序列章节为例实践了该成绩评价模型,为教师摸排学生的学习成效提供了较好的范例。Evaluating student grades are an important way to measure whether the teaching objectives are achieved or not,and it is a crucial part of the teaching management process.A common method is to take students’test scores as students’grades.Counting each sub-topic of each test paper can indeed reflect the overall learning performance of students.However,the statistical results are scattered,which cannot show the logic between the wrong points and cannot show the students’knowledge defects in the entire knowledge system in detail.To this end,this paper uses a graph kernel to measure student grades and constructs a graph kernel-based grade evaluation model.The model first constructs a learning situation graph to visualize the weak points of students’knowledge systems.Based on the learning situation graph,the comprehensive index is calculated to measure students’knowledge coverage,which can be used as auxiliary information on student grades.Taking the Python sequence as an example,the model has been implemented,providing a good example for teachers to figure out the learning effectiveness of students.

关 键 词：图核 Python序列 学生成绩 教学研究 

分 类 号：G424[文化科学—课程与教学论]