在医疗专业人员的大型在线受众中进行社会学习:通过自动化工具改善对话
Alvaro Margolis1, Antonio López-Arredondo1, Sofìa García2
1Evimed.
MedEdPublish (2016)
|December 13, 2023
概括
通过利用社交媒体方法,社会学习分析 (SLA) 可以增强医疗专业人员的大规模开放在线课程 (MOOCs). 这有助于改善同行和专家对话,促进更好的知识验证和临床实践变化.
科学领域:
- 医学教育 医学教育
- 医疗信息学 医疗信息学
- 社会学习社会学习
背景情况:
- 大规模开放在线课程 (MOOCs) 为健康专业教育提供全球范围.
- 临床实践的变化需要社会互动来验证和采用知识.
- 在MOOC中扩大专家辅导是促进对话的重大挑战.
研究的目的:
- 探索社会学习分析 (SLA) 在健康专业人员的MOOC中的应用.
- 展示社交媒体原则如何增强对话和学习成果.
- 提高医疗教育中关于SLA的认识和鼓励合作.
主要方法:
- 利用来自参与者关系,课程材料和自然语言处理的数据.
- 分析大型数据集以改善教育流程和成果.
- 描述SLA的试点应用,包括学术成绩预测和组连接分析.
主要成果:
- 试点研究展示了SLA在预测学业成功和优化讨论小组方面的潜力.
- SLA促进了"类似Facebook"的互动和"众包"的资源建议.
- 自然语言处理有助于对在线讨论帖子进行分类.
结论:
- SLA提供了一个可扩展的方法来促进健康专业MOOC中的有意义的对话.
- 整合社交媒体策略可以显著改善教育过程和成果.
- 鼓励进一步的研究和合作,以开发和批评医学教育中的SLA功能.
关键词:
继续医学教育 继续医学教育脸书 脸书 脸书 脸书互联网 互联网 互联网 互联网 互联网 互联网学习分析学习分析这是一个MOOC.推系统是一个推系统.社交网络分析 社交网络分析社交网络应用程序社交网络应用程序虚拟学习环境 虚拟学习环境更多相关视频
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