粗糙集、GSM和MSM在学习成果分析中的应用——以《教育导论》为例

H. Ho, Woody Jann-Der Fann, Hsiu-Jye Chiang, Phung-Tuyen Nguyen, Duc-Hieu Pham, Phuoc-Hai Nguyen, M. Nagai
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引用次数: 11

摘要

教育学概论是教师教育专业教育的基础课程之一,它涵盖的学科范围很广。因此,为了实践管理学教学目标,运用跨学科开发的数学工具进行研究。本研究以教育学导论课程的学生为研究对象,采用粗糙集、灰色结构模型(GSM)和矩阵结构模型(MSM)作为研究工具。本文的目的是:1)对教育数据集进行逻辑分析,实践教育中的科学特质;2)受益于直接的层次分析,以确定和提出行动计划;3)构建以核心为导向的教学结构,作为一课多课设计的标准参考,并提供GSM和MSM的全范围和可视化分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Rough Set, GSM and MSM to Analyze Learning Outcome—An Example of Introduction to Education
Introduction to education is one of the basic courses in teacher education professional education, it covers a wide range of subjects. Thus, in order to practice the management teaching goals, the interdisciplinary developed mathematical tools are applied for the study. The participants of this study are students in course of introduction to education, and the research instruments applied are rough set, grey structural modeling (GSM), and matrix based-structural modeling (MSM). The purposes of this paper are: 1) To logically analyze educational datasets to practice the scientific traits in education; 2) To benefit from directed hierarchical analysis to identify and propose action planning; 3) To construct core-oriented educational structure as the criterion-reference for one-lesson-multiple-design and to provide the whole scope and visualized analysis with GSM and MSM.
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