数据可视化课程教育研究热点及发展态势——基于2015~2024年文献综述

Research Hotspots and Development Trends in Data Visualization Course Education—Literature Review from 2015~2024

摘要: 本文综述了2015~2024年间数据可视化课程在高等教育教学改革中的研究热点与发展趋势，并统计了相关教育软件市场。通过中国知网数据库，筛选出124篇文献，运用CiteSpace分析揭示了教学领域内的多维主题网络，其中“大数据”和“数据分析”为核心节点。研究图谱显示了教学改革、可视化等关键词的交织关系。文献分析提炼出数据可视化教学的四大特征：跨学科整合、技术驱动、实践导向、伦理安全与隐私保护，为未来教育改革提供了理论依据和实践指导。

Abstract: This study summarizes the research hotspots and development trends of data visualization courses in higher education teaching reform from 2015 to 2024, and summarizes the relevant education software market. Through the CNKI database, 124 articles were screened and CiteSpace analysis was used to reveal the multidimensional thematic network in the field of teaching, with “big data” and “data analysis” as the core nodes. The research graph shows the interwoven relationship between keywords such as teaching reform and visualization. Literature analysis has extracted four major characteristics of data visualization teaching: interdisciplinary integration, technology-driven, practice-oriented, ethical security, and privacy protection, providing theoretical basis and practical guidance for future education reform.