支持K-12职前教师在学校基于数据的决策的合作模型:整合利益相关者、空间和主题之间的数据讨论

Q2 Social Sciences Action in Teacher Education Pub Date : 2020-12-01 DOI:10.1080/01626620.2020.1842821
S. Neugebauer, D. Morrison, V. Karahalios, Evan Harper, Haley Jones, Shauna Lenihan, Fenner Oosterbaan, C. Tindall
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引用次数: 0

摘要

摘要当前的教师准备计划因未能充分支持教师评估和发展其数据素养知识而受到审查。目前的研究探索了一种合作方法,通过纳入未充分利用的数据专家:学校心理学家,来增加职前教师的数据素养体验。本研究借鉴了对数据素养的研究、横向专业知识的活动理论视角和基于领域的模型,旨在为教师准备课程提供信息,提高职前教师的数据素养。使用调查数据,结果表明,参与这种基于K-12领域的合作模式的职前教师增加了他们对数据的信念、理解和价值,其中对学校范围内的数据和解决问题方法的信心和理解增长最大。
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A Collaborative Model to Support K-12 Pre-Service Teachers’ Data-Based Decision Making in Schools: Integrating Data Discussions across Stakeholders, Spaces, and Subjects
ABSTRACT Current teacher preparation programs have received scrutiny for failing to sufficiently support teachers in valuing and developing their knowledge of data literacy. The current study explores a collaborative approach to increasing pre-service teachers’ experiences with data literacy by including under-utilized data experts: school psychologists. Drawing from research on data literacy, activity theory perspectives of horizontal expertise, and field-based models, this study aims to inform teacher preparation curriculum and improve pre-service teacher data literacy. Using survey data, results indicate that pre-service teachers who participated in this K-12 field-based collaborative model increased their beliefs, understandings, and value of data, with the most growth found in confidence and understanding of school-wide data and problem-solving approaches.
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来源期刊
Action in Teacher Education
Action in Teacher Education Social Sciences-Education
CiteScore
2.30
自引率
0.00%
发文量
14
期刊最新文献
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