摘要
发展数据分析素养是高中数学课程改革的新指向,对它的评价研究是反馈学生数据分析素养发展成效的重要手段.结合相关研究成果和《普通高中数学课程标准(2017年版2020年修订)》,界定了数据分析素养的内涵:学生在现实情境中形成的以统计问题为驱动,以概率与统计知识为工具,以统计思维为手段,以数据交流为方式的一种数学素养.建构了包括4个维度15个二级指标的数据分析素养评价框架.结合高中阶段概率与统计内容的教学特点和建构的数据分析素养评价框架,可以从开放性试题和学生活动表现两个维度对目前实际教学中数据分析素养的落实情况进行评价.
The development of data analysis literacy is a new direction for the reform of high schools’mathematics curriculum,and its evaluation research is an important means for giving feedback to the development effect of students’data analysis literacy.Through studying the relevant research results and the General High School Mathematics Curriculum Standard(2017 Edition,2020 Revision),this paper defines the connotation of data analysis literacy:a mathematical literacy formed by students in real situations,driven by statistical problems and facilitated by using probability and statistical knowledge as tools,using statistical thinking as a means,and using data communication as a means.This paper also constructs an evaluation framework,including 4 dimensions and 15 secondary indicators.Finally,based on the teaching characteristics of probability and statistics content in high schools and the constructed data analysis literacy evaluation framework,this paper proposes that the implementation of data analysis literacy in actual teaching can be evaluated from the two dimensions of open-ended test questions and student activity performance.
作者
陈建明
孙小军
杨博谛
CHEN Jian-ming;SUN Xiao-jun;YANG Bo-di(Institute of Mathematics and Information Science,Baoji University of Arts and Sciences,Shaanxi Baoji 721013,China;School of Education,Shaanxi Normal University,Shaanxi Xi’an 710062,China)
出处
《数学教育学报》
CSSCI
北大核心
2022年第2期8-12,57,共6页
Journal of Mathematics Education
基金
陕西省教育科学“十三五”规划2020年度课题——核心素养视域下中学概率与统计内容的单元教学设计研究(SGH20Q159)
宝鸡文理学院2020年研究生创新科研项目——高中生数据分析素养评价框架的建构与实施(YJSCX20YB33)。
关键词
数据分析素养
评价框架
概率与统计
实施路径
data analysis literacy
assessment framework
probability and statistics
implementation path
作者简介
陈建明(1995—),男,天津人,硕士生,主要从事数学课程与教学论研究;通讯作者:孙小军。
