学习者评估和计划评估:支持精准教育
概括
精准教育 (PE) 使用数据和分析来通过连续的反周期来改善学习成果. 这种在程序和系统层面应用的方法需要协作和数据共享才能取得进展.
科学领域:
- 教育研究教育研究
- 教育中的数据分析.
- 项目评价 项目评价
背景情况:
- 精准教育 (PE) 将数据和分析集成到教育干预中,以获得更好的学习成果.
- PE利用连续的反循环,将分析结果纳入教育过程.
- PE在个人,程序和系统层面上运作,本文重点介绍的是程序和系统应用.
研究的目的:
- 探索课程评估在证明PE中的教育有效性的作用.
- 检查现有的国家反机制和新兴的多组织PE倡议.
- 识别挑战,并提出解决方案,以在计划和系统层面推进PE.
主要方法:
- 审查项目评估研究,将培训与患者结果联系起来.
- 分析国家报告,为教育计划和机构提供反.
- 在程序和系统层面描述了两个新兴的多组织PE努力.
主要成果:
- 程序评估对于提供PE教育教育有效性的证据至关重要.
- 现有的国家报告和新兴的倡议证明了PE原则的应用.
- 在PE实施中的挑战凸显了跨学科合作和数据共享的必要性.
结论:
- 推进PE需要加强跨学科合作和国家数据共享努力.
- 提出了为国家PE倡议提供资金的实用方法以及现场进步的模型.
- 从成功举措中吸取的经验教训强调了推的PE策略的潜力.
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