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以数据挖掘的方式探索区分高低数学素养表现学生之因素——以澳门社经弱势及优势背景学生为例
Alternative TitleUsing data mining to explore factors that distinguish between students with high and low mathematical literacy performance – an example with socio-economically disadvantaged and advantaged students in Macao
Sou, W. K.; Cheung, K. C.; Ieong, M. K.; Mak, S. K.
2021-12-01
Source Publication教育測量與評估雙語季刊
ISSN0000-0000
Pages15-26
Abstract澳门PISA 2012报告显示,它是教育优质且公平的经济体,然而社经弱势学生要取得成功普遍较优势学生困难,教育公平的系统中可能存在不公平现象。本研究分别从澳门PISA 2012社经弱势和优势学生的评核数据,挖掘出区分弱势低表现生和弱势高表现生,以及区分优势低表现生和优势高表现生的重要学习因素。本研究的发现能够更好地了解澳门相对于其它数学素养高表现地区教育优质和公平的原因,同时也揭露了教育公平系统出现轻微不公平现象的症结所在。
KeywordPISA 分类与回归树 社经地位 数学素养 数据挖掘
URLView the original
Language其他語言Others
The Source to ArticlePB_Publication
PUB ID62984
Document TypeJournal article
CollectionFaculty of Education
Corresponding AuthorMak, S. K.
Recommended Citation
GB/T 7714
Sou, W. K.,Cheung, K. C.,Ieong, M. K.,等. 以数据挖掘的方式探索区分高低数学素养表现学生之因素——以澳门社经弱势及优势背景学生为例[J]. 教育測量與評估雙語季刊, 2021, 15-26.
APA Sou, W. K.., Cheung, K. C.., Ieong, M. K.., & Mak, S. K. (2021). 以数据挖掘的方式探索区分高低数学素养表现学生之因素——以澳门社经弱势及优势背景学生为例. 教育測量與評估雙語季刊, 15-26.
MLA Sou, W. K.,et al."以数据挖掘的方式探索区分高低数学素养表现学生之因素——以澳门社经弱势及优势背景学生为例".教育測量與評估雙語季刊 (2021):15-26.
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