Learning Analytics for Course Management in Computer Science Curriculum -- A Novel Visualization and Summarization Approach

Sirisha Velampalli
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引用次数: 1

Abstract

Analytics discovers meaningful Inferences from data. Learning Analytics is the discovery of Actionable Intelligence from Educational data. Course Analytics is one of the key Research area in Learning Analytics. In this paper Exploratory Data Analysis Techniques, Visualization and Summarization are applied on Learning content i.e. Courses and drawn various valid inferences and discusses Course related problems like Course Prerequisites, Course Interrelation, Course Scheduling, Course Dropout etc. This paper uses Lorenz curve, which is a Visualization method to know the dispersion among the components and Gini Index which Summarizes the Lorenz curve.
计算机科学课程管理中的学习分析——一种新颖的可视化和总结方法
分析从数据中发现有意义的推论。学习分析是从教育数据中发现可操作的智能。课程分析是学习分析的一个重要研究领域。本文运用探索性数据分析技术、可视化技术和总结技术对学习内容即课程进行分析,得出了各种有效的推论,并对课程前提、课程关联、课程排课、课程退课等课程相关问题进行了探讨。本文采用洛伦兹曲线这一可视化方法来了解各成分之间的离散度,并利用洛伦兹曲线的基尼指数进行总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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