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Vis Inf
Vis Inf  2019, Vol. 3 Issue (4): 166-176    DOI: 10.1016/j.visinf.2019.10.004
论文     
PerformanceVis :对化学导论课学生成绩的可视化分析
Haozhang Denga, Xuemeng Wanga, Zhiyi Guob, Ashley Deckerc, Xiaojing Duanc,  Chaoli Wangc, G.Alex Ambrosec Kevin Abbottc#br#
aUniversity of Rochester, Rochester, NY 14627, United States  bFudan University, Shanghai 200433, China cUniversity of Notre Dame, Notre Dame, IN 46556, United States
PerformanceVis: Visual analytics of student performance data from an introductory chemistry course
Haozhang Denga, Xuemeng Wanga, Zhiyi Guob, Ashley Deckerc, Xiaojing Duanc,  ChaoliWangc, G.Alex Ambrosec Kevin Abbottc
aUniversity of Rochester, Rochester, NY 14627, United States  bFudan University, Shanghai 200433, China cUniversity of Notre Dame, Notre Dame, IN 46556, United States
 全文: PDF 
摘要： 本文设计出一种可视化分析工具,PerformanceVis，用于分析学生入学和课程成绩数据，以及调查家庭作业和试题设计。本文以一门有近1000名学生听课的大学化学导论课为目标，在设计PerformanceVis过程中时同时考虑了学生、教师和管理员的需求。同时，研究作业和考试问题之间的相关性，运用机器学习技术来预测学生成绩，并开发了一个可以交互式探讨学生课程成绩数据的界面。PerformanceVis包括四个主要视图：总体考试成绩路径、详细考试成绩路径、详细考试内容分析以及总体考试和家庭作业分析，它们被动态链接在一起提供给用户进行交互和探索。通过案例研究和专门安排的专家评估证明了PerformanceVis的有效性。最后指出了在学习的分析学方面未来的研究工作。
关键词： 学生表现;  项目分析;  成绩预测;  学习分析;  知识发现    
Abstract: We present PerformanceVis, a visual analytics tool for analyzing student admission and course performance data and investigating homework and exam question design. Targeting a university-wide introductory chemistry course with nearly 1000 student enrollment, we consider the requirements and needs of students, instructors, and administrators in the design of PerformanceVis. We study the correlation between question items from assignments and exams, employ machine learning techniques for student grade prediction, and develop an interface for interactive exploration of student course performance data. PerformanceVis includes four main views (overall exam grade pathway, detailed exam grade pathway, detailed exam item analysis, and overall exam & homework analysis) which are dynamically linked together for user interaction and exploration. We demonstrate the effectiveness of PerformanceVis through case studies along with an ad-hoc expert evaluation. Finally, we conclude this work by pointing out future work in this direction of learning analytics research.
Key words: Student performance    Item analysis    Grade prediction    Learning analytic    Knowledge discovery
出版日期: 2019-12-23
通讯作者: Xiaojing Duan     E-mail: xduan@nd.edu
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Haozhang Deng
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引用本文:

Haozhang Deng, Xuemeng Wang, Zhiyi Guo, Ashley Decker, ... Kevin Abbott. PerformanceVis: Visual analytics of student performance data from an introductory chemistry course . Vis Inf, 2019, 3(4): 166-176.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2019.10.004    或    http://www.zjujournals.com/vi/CN/Y2019/V3/I4/166

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