基于LDA主题模型的数据素养评价指标体系研究

A Study on the Data Literacy Evaluation Index System Based on the LDA Topic Model

摘要: 在信息化快速发展的背景下，大学生数据素养已成为衡量其数字社会适应能力的重要指标。为精准评估其水平，本研究基于中国知网(CNKI)近十年1291篇相关文献，运用潜在狄利克雷分配(LDA)模型进行分析，揭示了数据分析、数据安全、数据素养教育等研究热点，并构建涵盖5个一级指标和23个二级指标的大学生数据素养测评体系。该体系为数据素养教育的优化与课程改革提供了科学依据，推动高质量教学发展，并为后续研究提供了新的视角与方向。

Abstract: Against the backdrop of the rapid development of informatization, college students’ data literacy has become a crucial indicator for measuring their adaptability to the digital society. To accurately evaluate their data literacy level, this study conducted an analysis based on 1291 relevant literatures published in the past decade retrieved from China National Knowledge Infrastructure (CNKI), using the Latent Dirichlet Allocation (LDA) model. It revealed major research hotspots including data analysis, data security, and data literacy education, and constructed a college students’ data literacy evaluation index system covering 5 first-level indicators and 23 second-level indicators. This system provides a scientific basis for the optimization of data literacy education and curriculum reform, facilitates the development of high-quality teaching, and offers new perspectives and directions for subsequent research.