基于大数据分析的内科学教学质量评估

中图分类号：G642 文献标识码：A DOI：10.16400/j.cnki.kjdk.2025.12.004

AbstractBig data technology has profoundly transformed the evaluation model of medical education and is playing an increasinglyimportant rolein theevaluationof theteachingqualityof intemalmedicine.Byconstructingabigdata-based evaluation system for intermal medicine teaching， it is possble to achieve dynamic monitoring and precise analysis of the entire teaching process.Research shows that big data-driven teaching evaluation canconduct quantitative analysis from multiple dimensions such as teaching content，teaching methods，and learning efects，overcoming the limitations of traditionalevaluationmethods，suchasstrongsubjectivityanddiscontinuous dataacqusition.Itisrecommendedtotartfrom aspects suchasimprovingthedatacollction mechanism，enhancing teachers'data literacy，andoptimizingtheevaluation indexsystem，soas topromote thescientificandstandardizeddevelopmentoftheevaluationofthe teachingqualityofinteal medicine and provide strong support for cultivating high-quality clinical medical talents.

Keywordsbig data analysis; interal medicine; teaching quality; evaluation system; medical education

随着信息技术的快速发展，大数据已成为推动教育教学改革的重要力量。（剩余4505字）