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病毒学检验课程数智化深度学习式教学模式构建与应用
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华北理工大学 公共卫生学院,河北 唐山 063210

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谢俊岭:提出文章主题,构思内容框架,实施教学工作,整理教学资源及数据,撰写文章,稿件润色修改。

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Construction and application of a digital intelligent deep learning-oriented teaching mode for Virology Testing
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School of Public Science, North China University of Science and Technology, Tangshan 063210, Hebei, China

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    摘要:

    建设高质量课程,培养高素质人才是我国高等教育的重要环节。后疫情时代背景下,国家对具有自主发展意识和核心素养的公共卫生领域高技术人才的需求不断提升。我校公共卫生学院卫生检验与检疫专业的核心骨干课程“病毒学检验”,在深度学习理念指引下,以数智化技术为支撑,构建了“知识传授-能力培养-价值塑造”三维育人体系,促进学生对病毒学检验专业知识的高阶认知和转化应用能力,提升学生的情感体验和核心素养。

    Abstract:

    Constructing high-quality courses and cultivating high-qualified talents are crucial components of the higher education system in China. In the post-pandemic era, China’s demand for high-tech talents with independent development awareness and core competencies in the field of public health is constantly increasing. Under the guidance of deep learning principles and supported by digital intelligent technologies, the core course Virology Testing in the health inspection and quarantine major at the School of Public Health, North China University of Science and Technology has established a three-dimensional educational framework encompassing knowledge transmission, competency development, and value cultivation. This innovation promotes students’ high-level cognition and application ability of the professional knowledge of Virology Testing and enriches students’ emotional experiences and core competencies.

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引用本文

谢俊岭. 病毒学检验课程数智化深度学习式教学模式构建与应用[J]. 微生物学通报, 2026, 53(4): 1772-1782

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  • 收稿日期:2026-01-08
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  • 在线发布日期: 2026-04-22
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