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胡九英, 张其林, 储伊力, 等. 数字素养赋能医学生创新行为的组态路径研究:基于模糊集定性比较分析[J]. 四川大学学报(医学版), 2024, 55(4): 964-971. DOI: 10.12182/20240760302
引用本文: 胡九英, 张其林, 储伊力, 等. 数字素养赋能医学生创新行为的组态路径研究:基于模糊集定性比较分析[J]. 四川大学学报(医学版), 2024, 55(4): 964-971. DOI: 10.12182/20240760302
HU Jiuying, ZHANG Qilin, CHU Yili, et al. Research on Configuration Paths of Digital Literacy Empowering Medical Students' Innovative Behaviors: Based on Fuzzy-Set Qualitative Comparative Analysis[J]. Journal of Sichuan University (Medical Sciences), 2024, 55(4): 964-971. DOI: 10.12182/20240760302
Citation: HU Jiuying, ZHANG Qilin, CHU Yili, et al. Research on Configuration Paths of Digital Literacy Empowering Medical Students' Innovative Behaviors: Based on Fuzzy-Set Qualitative Comparative Analysis[J]. Journal of Sichuan University (Medical Sciences), 2024, 55(4): 964-971. DOI: 10.12182/20240760302

数字素养赋能医学生创新行为的组态路径研究:基于模糊集定性比较分析

Research on Configuration Paths of Digital Literacy Empowering Medical Students' Innovative Behaviors: Based on Fuzzy-Set Qualitative Comparative Analysis

  • 摘要:
    目的  聚焦医学生群体,探究个体数字素养与其创新行为之间的因果复杂性,为赋能医学生高水平创新行为提供科学参考。
    方法  采用自制问卷调查收集安徽省某医学院校在校大学生相关数据,运用模糊集定性比较分析方法解析赋能医学生创新行为的不同组合路径。
    结果  共收集到922份有效问卷。基于本研究数字素养的6个条件变量(信息与数据素养、沟通与协作素养、数字内容创造素养、安全素养、问题解决素养和职业相关素养),实现医学生高水平创新行为有5种组态,总体一致性为0.816,总覆盖度为0.664;导致医学生低水平创新行为有3种组态,总体一致性为0.901,总覆盖度为0.585。
    结论  医学生数字素养水平与其创新行为之间具有因果复杂性,不同维度的数字素养协同作用并产生多条路径赋能医学生创新行为。其中,高水平的数字内容创造素养是赋能医学生创新行为的核心条件,而低水平的问题解决素养是导致医学生低水平创新行为的关键障碍。

     

    Abstract:
    Objective  To explore the causal complexity between individual digital literacy and innovative behaviors by focusing on medical students, and to provide scientific references for empowering their innovative behaviors.
    Methods  A questionnaire survey was conducted to collect relevant data from students currently enrolled in a medical school in Anhui Province. Fuzzy-set qualitative comparative analysis (fsQCA) was performed to examine the different combination paths for empowering innovative behaviors in medical students.
    Results  A total of 922 valid questionnaires were collected. Based on six conditional variables of digital literacy, namely information and data literacy, communication and collaboration literacy, digital content creation literacy, security literacy, problem solving literacy, and career-related literacy, there were five configurations for high-level innovation behaviors of medical students, with the overall consistency being 0.816 and the overall coverage being 0.664. On the other hand, there were three configurations for their low-level innovation behaviors, with the overall consistency being 0.901 and the total coverage being 0.585.
    Conclusion  There is a causal complexity between medical students' digital literacy and their innovative behaviors. Different dimensions of digital literacy act synergistically to produce multiple paths to empower medical students' innovative behaviors. Among them, a high level of competence in digital content creation is the core condition that empowers innovative behaviors in medical students, while a low level of problem-solving competence is the key barrier to their innovative behaviors.

     

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