基于大数据技术的全科医学教育改革与研究  

The reform and research in general practice education based on big data technology

作　　者：韩一平[1,2] 张从昕[3] 刘燕敏[3] 赵家义[1,2] 沈璐[1] 柯骏[3] 袁鹏群[3] 陈晰辉[3] 

机构地区：[1]第二军医大学长海医院全科医学教研室,上海200433 [2]第二军医大学长海医院呼吸内科 [3]第二军医大学长海医院

出　　处：《中华全科医学》2017年第7期1093-1096,共4页Chinese Journal of General Practice

基　　金：国家社会科学基金军事项目(16GJ003-202)

摘　　要：大数据(big data)是推进教育创新发展的科学力量。全科医学教育大数据(big data in GP education)属于教育大数据的一个分支,是一个全新的概念,主要指整个全科医学教育培养过程中所产生的、根据培养要求所需的、一切用于全科医学教育发展的并且可创造巨大潜在价值的数据集合。全科医学教育大数据不仅有大数据的大量、高速、多样、价值等特征还具有其独特的复杂性、综合性、因果性、完整性、创造性等特点。全科医学教育大数据的结构可分成个体、课程、院校、区域、行业5个层面。其应用价值体现在与全科医学教育的深度融合以及推动全科医学教育改革上,主要表现全科医学教育理念个性化,以大数据为背景的个人学习将越来越量身定制;全科医学教育模式多元化,数据挖掘和学习分析技术将使全科医学教育过程打破时间、空间限制,形成多维度、全时程教学模式;全科医学教育管理科学化,通过大数据技术将实现更科学、更准确、更高效的全科医学教育管理;全科医学教育评价可量化,教与学的行为信息将越来越精确地被记录下来,评价结果将变得更为真实可信。因此有理由相信利用全科医学教育大数据来促进全科医学教育改革是可行的。Big data is the scientific power to promote the innovation and development of education. Big data in general practice education is a branch of big data in education. It is a new concept, mainly referring to the data collection from the entire general practice education process. According to the training requirements, the data collection could be applied to the development of the general practice education and create enormous potential value. Besides such features as the vol- ume, velocity, variety and value, the big data in general practice education also has its unique characteristics, for example, complexity, comprehensiveness, causality, completeness and creativity. Its structure can be divided into five levels such as individuals, courses, institutions, regions and industries. The value of big data in general practice education is reflected in the deep integration and the promotion of general practice education reform. Personalization in teaching idea： the individu- al learning based on big data will be more and more customized. Diversification in teaching model：data mining and learning analysis technology will make general medicine education break the time and space constraints to be the multi-dimensional and full-time teaching model. Scientization in teaching management： via the big data technology, more scientific, accurate and efficient general education management will be achieved. Quantification in teaching evaluation：the behavioral information of teaching and learning will be recorded accurately and the evaluation results will become authentic. It is reasonable to believe that the big data general practice education could improve the reform of general practice education.

关 键 词：全科医学教育大数据 全科医学 教育改革 

分 类 号：R499[医药卫生—康复医学] R192[医药卫生—临床医学]