Examination of Analysis Methods for E-Learning System Grade Data Using Formal Concept Analysis

Yoshiki Asami, T. Motoyoshi, K. Sawai, H. Masuta, Noboru Takagi
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Abstract

This study presents a method for effectively applying formal concept analysis (FCA) to performance data for a practice-based Office E-learning system. Efforts to improve the content structure and design of an E-learning system typically involve the analysis of historical data; the problem is that the analyst generally selects the target of the analysis arbitrarily. We examined whether FCA can be used as a trigger for analysts to select the appropriate content. Specifically, we compare the implication relation between correct/incorrect questions captured by the implications of FCA and the overall trend obtained from statistical analysis methods.
使用形式概念分析的电子学习系统成绩数据分析方法检验
本研究提出了一种有效地将形式概念分析(FCA)应用于基于实践的办公电子学习系统的绩效数据的方法。改进电子学习系统的内容结构和设计的努力通常涉及对历史数据的分析;问题在于分析人员通常会随意选择分析的目标。我们研究了FCA是否可以作为分析师选择适当内容的触发器。具体来说,我们比较了FCA的含义所捕获的正确/不正确问题之间的含义关系和从统计分析方法中获得的总体趋势。
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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