初中生数据分析能力测评模型构建及应用研究

Investigation into the Development and Implementation of an Evaluation Model for Analyzing Data Competencies among Junior High School Students

摘要: 信息化时代的发展使数据分析能力日益重要，而中学阶段是培养学生核心素养的关键时期，构建科学、合理的初中生数据分析能力测评模型是开展初中生数据分析能力有效监测与提升的重要保证，具有重大时代意义。通过文献研究法、德尔菲法和层次分析法构建出包括数据认识能力、数据收集能力、数据整理能力、数据描述能力和结果运用能力5个一级指标和16个二级指标的初中生数据分析能力指标体系，并确立测评模型。在此基础上编制《数据分析能力测试试卷》，抽取4所中学七年级至九年级学生，得到有效试卷1008份，初步验证了测评模型的科学性、有效性与可操作性，并依据测评结果提出提升初中生数据分析能力的对策建议。

Abstract: The advent of the information age has rendered data analysis skills increasingly vital, with the middle school stage representing a pivotal period for nurturing students’ core competencies. Establishing a scientifically sound and rational evaluation model for assessing middle school students’ data analysis capabilities is essential for effectively monitoring and enhancing their analytical skills during this critical phase, bearing significant historical implications. This study employs literature review method, Delphi method, and hierarchical analysis method to develop an evaluation index system encompassing five primary indicators (data awareness ability, data collection ability, data organization ability, data description ability, and result application ability) along with 16 secondary indicators and establish the evaluation model. Subsequently, the Data Analysis Ability Test Questionnaire was formulated; 1008 valid questionnaires were collected from randomly selected students in grades 7 to 9 across four middle schools. The assessment results preliminarily validated the scientific rigor, effectiveness, and practicality of the evaluation model while proposing strategies for enhancing middle school students’ data analysis abilities based on these.