数字素养的参与战略,以支持巴西的e-SUS初级保健系统
Gabriel Lebeis1, Zilma Reis1, Isaías Oliveira1
1Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Studies in health technology and informatics
|August 8, 2025
概括
这项研究改善了医疗专业人员使用人工智能驱动参与的大规模开放在线课程 (MOOC) 完成率. 个性化信息和游戏化策略成功降低了在线学习中学率.
科学领域:
- 数字健康教育 数字健康教育
- 在线学习教学教学在线学习教学
- 教育中的人工智能
背景情况:
- 大规模开放式在线课程 (MOOCs) 面临着巨大的挑战,其中学率高,完成率低.
- 公共卫生领域的专业培训需要可扩展和有效的教育解决方案.
- 教育e-SUS APS平台是巴西初级医疗保健专业人员的MOOC.
研究的目的:
- 探索和评估参与策略,以改善医疗保健MOOC中的学习者保留率.
- 评估游戏化,视听资源和个性化沟通的有效性.
- 研究大语言模型 (LLM) 在重新吸引学习者的作用.
主要方法:
- 在MOOC中实施游戏化元素和视听资源.
- 使用大型语言模型 (LLM) 为有风险的学习者生成个性化的重新参与信息.
- 完成率与全球MOOC平均值和干预前数据的比较分析.
主要成果:
- 由LLM驱动的个性化重新参与信息实现了超过12%的重新参与率.
- 与全球MOOC平均水平相比,该平台的课程完成率有所提高.
- 人工智能和现代教学工具的整合对学习者保留产生了积极的影响.
结论:
- 人工智能支持的个性化沟通有效地提高了MOOC中的学习者保留率.
- 游戏化和多媒体资源有助于提高参与度和完成率.
- 由人工智能增强的MOOC代表了推动公共卫生数字教育的有希望的途径.
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