使用数据工具和系统推动南非弱势儿童早期教育的变化
Sonja Giese1, Andrew Dawes2, Linda Biersteker1
1DataDrive2030, Westlake, Cape Town 7945, South Africa.
Children (Basel, Switzerland)
|September 28, 2023
概括
南非开发了早期学习测量 (ELOM) 工具来评估学前教育质量和儿童成果,解决了关键的数据差距. 这些数字工具量化了社会经济差异,并证明了高质量的早期学习计划对儿童发展的积极影响.
科学领域:
- 幼儿教育 儿童早期教育
- 发展心理学 发展心理学
- 教育测量教育的测量
背景情况:
- 南非国家发展计划的目标是到2030年实现普及的高质量幼儿教育,与可持续发展目标4.2保持一致.
- 在2016年之前,缺乏标准化,有效和文化公平的评估工具阻碍了对学前质量和儿童成果的大规模测量.
- 现有的评估工具不适合南非资源有限的环境和多样化的语言景观.
研究的目的:
- 详细介绍一套早期学习测量 (ELOM) 工具的开发和演变.
- 解决在南非评估幼儿教育质量和成果的关键测量差距.
- 创建一个可扩展的,数字化的评估系统,嵌入数据价值链.
主要方法:
- 文献审查和对现有评估工具的分析.
- 审查当地课程标准和儿童预期结果.
- 广泛的利益相关者商,代用户测试,以及对11种官方语言的语言,文化,功能和指标等价性的评估.
- 数字化管理和一个端到端的数据价值链,以实现可扩展的使用.
主要成果:
- 自2016年以来的ELOM数据显示,早期儿童发展的社会经济梯度显著.
- 这些工具展示了缩,社会情感发展和学习成果之间的联系.
- 有证据表明,高质量的早期学习计划对学龄前儿童的成绩有积极的影响.
- 数据通过在线门户网站进行二次分析,将数据整理成一个开放的共享数据集.
结论:
- ELOM工具为计划监测,干预评估和资源分配提供了关键数据.
- 成功的实施依赖于多学科的专业知识,灵活的资金,适当的技术,以用户为中心的设计和对不同环境的敏感性.
- ELOM倡议支持在幼儿教育方面实现国家和全球发展目标的进展.
- 学到的经验教训突出了早期儿童发展计划中数据驱动的变革的关键推动因素.
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