对护理学生参与在线学习的自我调节的潜在个人资料分析
Ying Chen1, Wei Wei1, Yanqing Yang2
1Xiamen Medical College, Xiamen, Fujian, China.
Nurse education in practice
|February 11, 2025
概括
护理学生表现出明显的在线自我调节学习 (SRL) 档案,更高的SRL能力与更大的在线学习参与度相关. 了解这些概况可以为有针对性的干预提供信息,以提高学生在数字学术环境中的成功.
科学领域:
- 护理教育 护理教育
- 在线学习在线学习
- 自主调节学习 (SRL)
背景情况:
- 在线学习普遍存在,影响学生的参与度和学术质量.
- 自律对于在线学习环境中的成功至关重要.
- 识别不同的在线自我调节学习配置文件可以优化教育策略.
研究的目的:
- 根据他们的在线自我调节学习 (SRL) 档案对护理学生进行分类.
- 调查已识别的SRL配置文件中的人口变化.
- 检查SRL配置文件和在线学习参与之间的关系.
主要方法:
- 跨截面调查设计,涉及676名护理学生.
- 利用在线自我调节学习问卷和学生参与远程教育问卷.
- 在数据分析中采用了隐性配置分析和多项逻辑回归.
主要成果:
- 确定了三个在线SRL配置文件:有限 (n=234),中等 (n=408) 和优越 (n=34).
- 在学业成绩,选择护理的动机和专业身份方面,在不同个人资料中观察到显著的差异.
- 较高的在线SRL能力与增加的在线学习参与度密切相关.
结论:
- 在线SRL个人资料中,诸如学业成绩和专业身份等人口统计变量有所不同.
- 针对每个SRL配置文件的独特特征进行量身定制的干预可以增强在线自我监管和参与.
- 这些发现支持开发个性化策略,以改善护理学生的在线学习体验.
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