PISA 2022数据分析能力的探索与启示——以样题为例  

Exploration and Enlightenment of the Data Analysis Capabilities from PISA 2022-Taking the Released Items for Example

作　　者：郭沛含 朱雁 GUO Peihan;ZHU Yan(School of Mathematics Science,East China Normal University,Shanghai 200241,China)

机构地区：[1]华东师范大学数学科学学院,上海200241

出　　处：《教育参考》2024年第9期14-20,26,共8页Education Approach

摘　　要：文章首先对PISA测试里的数据界定进行了解读,然后对此维度的样题进行了分析,接着探讨了学生在数据分析方面的总体表现,随后对学生在此维度的精熟度情况进行了分析,最后对学生在样题上的表现进行了分析。研究结果显示,东亚六个国家和地区的学生在数据分析方面总体表现较好,但相比其他内容有较大差距;数学总体精熟度和不确定性与数据精熟度相关性极强;不同精熟度学生在这一维度的表现差异较大。This article first interprets the definition of data in the PISA test,then analyzes sample questions in this content dimension.Next,it examines students’overall performance in data analysis and subsequently analyzes their proficiency in this dimension.Finally,it analyzes students’performance on sample questions.The research results show that students in the six East Asian countries/regions generally perform well in data analysis,but there is a significant gap compared to other content areas.The overall proficiency in mathematics is highly correlated with proficiency in uncertainty and data.There are significant differences in performance in this dimension among students with different levels of proficiency.

关 键 词：PISA 2022 数据分析 数据思维 

分 类 号：G633.6[文化科学—教育学]