促进数据素养:使用社会和情感学习评估数据来告知教学和学习
Zi Jia Ng1, Britney Foster2, Troya L Ellis2
1Yale Child Study Center, Yale University School of Medicine, New Haven, CT 06511, USA.
Behavioral sciences (Basel, Switzerland)
|December 30, 2025
概括
本研究介绍了建议和设计课程,以帮助学校提高数据素养,特别是对于社会和情感学习评估. 该方法使教育工作者和学生能够使用数据来提高教学和学习成果.
科学领域:
- 教育心理学教育心理学
- 教育中的数据科学教育中的数据科学
- 评估和评价的评估和评估.
背景情况:
- 学校往往缺乏有效解释和利用评估数据的能力.
- 社会和情感学习 (SEL) 数据对于学生福祉至关重要,但实施起来具有挑战性.
- 数据素养对于教育环境中的知情决策至关重要.
研究的目的:
- 为了说明建议和设计会议提高数据素养的有效性.
- 探索学校如何解开,解释和对评估数据,特别是SEL数据采取行动.
- 制定一项用于学校数据知情决策的协议.
主要方法:
- 利用咨询和设计会议,一系列焦点小组,与教育工作者和学生.
- 在2024年春季期间,每组参与者进行4-5次会议.
- 使用主题感应编码分析了会议的音频录音.
主要成果:
- 主要发现包括基于数据的入门定位,深入的数据审查和基于数据的行动.
- 参与者参与了评估数据的解封和理解.
- 该过程促进了数据洞察力转化为可操作的策略.
结论:
- 咨询和设计课程提供了一个结构化的方法来提高学校的数据素养.
- 开发的协议可以指导学校使用评估数据来增强教学和学习.
- 赋予利益相关者数据解释技能的能力对于学生的成功至关重要.
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