教师教育中的数据驱动决策:职前教师和教师的认知

Q2 Social Sciences
Amanda Obery, James Sletten, R. R. Vallor, Sarah Schmitt-Wilson
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引用次数: 0

摘要

一些研究人员呼吁将数据驱动的决策整合到教师培训计划中,以帮助减少教师在教学中使用数据时面临的障碍。这项混合方法研究调查了职前教师(N = 112)对数据在教育中的使用的看法,以及职前教师(N = 6)和教育他们的教师(N = 5)对成功使用数据所需的知识和技能的感知。研究结果对考虑数据素养整合的教师准备计划和旨在了解鼓励职前教师数据驱动决策技能和知识的最佳方法的研究人员具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Driven Decision Making in Teacher Education: Perceptions of Pre-Service Teachers and Faculty Who Teach Them
ABSTRACT Integrating data driven decision making into teacher preparation programs has been called for by several researchers in order to help lessen the barriers teachers face in using data in their teaching. This mixed methods study examined the perceptions of data use in education by pre-service teachers (N = 112) and perceived knowledge and skills required for successful use from both pre-service teachers (N = 6) and the faculty who educate them (N = 5). Results have implications for teacher preparation programs considering data literacy integration and for researchers aiming to understand the best ways to encourage data driven decision-making skills and knowledge in pre-service teachers.
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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
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