期刊文献+

大数据背景下人工智能在医学研究生个性化网络教学中的探索 被引量:20

Exploration of Artificial Intelligence in Personalized Network Teaching of Medical Postgraduates Under the Background of Big Data Era
下载PDF
导出
摘要 大数据时代人工智能(artificial intelligence,AI)取得杰出成就,随着AI突飞猛进的发展,教育作为知识密集型行业,促进了AI与其融合发展及应用创新。为顺应国家相关政策要求,紧紧把握大数据时代发展的利好趋势,深化医学研究生个性化网络教学研究势在必行。如何根据现有研究生课程建设进行相应的改革,构建顺应时代发展需求的个性化网络教学模式,是进一步深化教学改革,提升教学质量的核心点。随着AI技术的不断成熟,其与教育领域的融合也将不断深化。AI将从搭建国内外先进教育资源的桥梁、开创教育新模式、培养专业精英、构建和优化教学内容模型、满足个性化自适应学习等方面互为医学研究生教育的发展注入新动力。 In the era of big data, artifcial intelligence has made outstanding achievements. With the rapid development of AI, education as a knowledge intensive industry has promoted the integration of AI and its application and innovation. In order to comply with relevant national policy requirements and grasp the good trend of the development of the big data era, it is imperative to deepen the research on personalized network teaching for medical postgraduates. How to carry on the corresponding reform according to the existing graduate course construction and construct the individualized network teaching mode conforming to the demand of the times is the core point of further deepening the teaching reform and improving the teaching quality. As AI technology continues to mature, its integration with education will continue to deepen. AI will inject new impetus into the development of medical postgraduate education from the aspects of building the bridge of advanced education resources at home and abroad, creating a new education model, cultivating professional elite, constructing and optimizing the teaching content model and satisfying the individualized self-adaptive learning.
作者 康巍 钟武宁 韦苇 阳君 赵阳 金观桥 KANG Wei;ZHONG Wuning;WEI Wei;YANG Jun;ZHAO Yang;JIN Guanqiao(The Imaging Center,The Affiliated Tumor Hospital of Guangxi Medical University,Nanning Guangxi 530021,China)
出处 《中国继续医学教育》 2018年第32期41-43,共3页 China Continuing Medical Education
基金 广西医科大学研究生课程建设项目(YJSB2017010) 广西高等教育本科教学改革工程项目(2016JGA173)
关键词 人工智能技术 大数据 研究生教学 个性化教学 自适应学习 artificial intelligence big data postgraduates teaching individualized teaching adaptive learning
  • 相关文献

参考文献12

二级参考文献104

同被引文献134

引证文献20

二级引证文献112

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部