高校教学知识图谱建设效果评价指标体系构建研究

An Evaluation Indicator System for Assessing the Effectiveness of Knowledge Graphs in Higher Education Teaching

摘要: 文章基于层次分析法(AHP)的量化分析，构建了一套高校教学知识图谱建设效果评价指标体系，用于衡量知识图谱在课程体系优化、教学效果提升和个性化学习支持方面的成效。研究结果表明，在该指标体系中信息质量维度权重最高，说明知识图谱提供的数据准确性和知识覆盖度对教学效果具有关键作用；同时，服务质量和系统质量维度下的资源丰富性、资源适配性、界面易用性等指标对提升个性化学习体验和教学效率有显著影响。据此，提出应优先加强知识图谱的数据质量与更新机制，丰富教育资源并提高其适配度，优化系统界面和稳定性，以全面提升高校教学领域知识图谱应用的效益。研究为高校知识图谱建设效果的科学评估与持续优化提供了有力支撑。

Abstract: This study integrates the Analytic Hierarchy Process (AHP) to construct a comprehensive evaluation indicator system for assessing the effectiveness of knowledge graph construction in higher education teaching. The proposed system measures the performance of knowledge graphs in optimizing curriculum structures, enhancing teaching effectiveness, and supporting personalized learning. The results reveal that the information quality dimension carries the highest weight, indicating that the accuracy and coverage of data provided by the knowledge graph play a crucial role in improving teaching outcomes. Meanwhile, indicators under the service quality and system quality dimensions, such as resource richness, resource adaptability, and interface usability, exert significant influence on the enhancement of personalized learning experiences and instructional efficiency. Accordingly, this study recommends prioritizing improvements in data quality and update mechanisms of knowledge graphs, enriching educational resources and enhancing their adaptability, as well as optimizing system interfaces and stability. These measures collectively contribute to maximizing the educational benefits of knowledge graph applications in higher education. The findings provide a robust foundation for the scientific evaluation and continuous optimization of knowledge graph construction in the academic context.