“互联网+”背景下高一学生数据分析素养的现状调查

Current Situation Investigation and Analysis of Data Analysis Literacy of Senior One Students under the Background of “Internet+”

摘要: 在“互联网+”背景下，数据分析的培养质量直接影响学生的数学应用能力与数据思维能力的发展。基于该背景，构建含数据感知、数据处理、数据推断、数据交流4个一级指标及15个二级指标的高一学生数据分析素养测评框架。以黄冈市某公办高中高一年级学生为对象开展问卷调查，调查发现：选科物理类学生的数据分析素养显著高于历史类学生，而性别差异未达显著水平；高一学生数据分析素养形成受四个一级指标差异化影响，数据推断和数据交流贡献最大；学生的态度与兴趣应用兴趣呈“中峰正态分布”。

Abstract: In the context of “Internet+”, data analysis literacy is crucial for students’ mathematical application and the development of their data thinking. Accordingly, this study constructed an evaluation framework encompassing four primary indicators (data perception, processing, inference, and communication) and fifteen secondary indicators. A questionnaire survey conducted among senior one students at a high school in Huanggang City revealed that: 1) Students in the science-oriented track demonstrated significantly higher literacy than those in the humanities-oriented track, with no significant gender difference; 2) Data communication and inference contributed the most to the formation of this literacy; 3) Students’ attitudes and interests followed a “medium-peak normal distribution”. Based on these findings, suggestions for optimizing teaching by integrating internet tools are proposed.