PerformanceVis: Visual analytics of student performance data from an introductory chemistry course
PerformanceVis: Visual analytics of student performance data from an introductory chemistry course
复制标题
PerformanceVis：对化学入门课程中的学生表现数据进行可视化分析
DOI：
10.1016/j.visinf.2019.10.004
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
K. Abbott
中科院分区：
文献类型：
--
作者：
Haozhang Deng;Xuemeng Wang;Zhiyi Guo;Ashley Decker;Xiaojing Duan;Chaoli Wang;G. Ambrose;K. Abbott
我们介绍了PerformanceVis，这是一个可视化分析工具，用于分析学生入学和课程表现数据，并调查家庭作业和考试问题设计。针对一门拥有近1000名学生的大学化学入门课程，我们在PerformanceVis的设计中考虑了学生、教师和管理人员的要求和需求。我们研究了作业和考试中问题项之间的相关性，使用机器学习技术来预测学生成绩，并开发了一个用于交互探索学生课程表现数据的界面。PerformanceVis包括四个主要视图(整体考试成绩路径、详细考试成绩路径、详细考试项目分析和整体考试和作业分析)，这些视图动态链接在一起，供用户交互和探索。我们通过案例研究和特别的专家评估来证明PerformanceVis的有效性。最后，我们对本文的工作进行了总结，并指出了未来学习分析研究的方向。
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.