基于大數(shù)據(jù)分析的內(nèi)科學(xué)教學(xué)質(zhì)量評(píng)估

中圖分類號(hào)：G642 文獻(xiàn)標(biāo)識(shí)碼：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

隨著信息技術(shù)的快速發(fā)展，大數(shù)據(jù)已成為推動(dòng)教育教學(xué)改革的重要力量。（剩余4505字）