使用社交网络分析来识别小学实际世界中的同行教练:一个多信息,社区科学方法
Elise Cappella1, Madeline DeShazer2, Christine Park1
1New York University, New York, New York, USA.
American journal of community psychology
|April 10, 2025
概括
使用学校网络识别同行教练可以改善教师培训和支持. 这种方法有助于实施基于证据的实践,使辅导更容易获得,并促进公平的学校环境.
科学领域:
- 教育心理学教育心理学
- 社交网络分析 社交网络分析
- 实施科学 实施科学
背景情况:
- 辅导加强教师使用基于证据的实践,包括文化响应策略.
- 外部指导是昂贵的,并且很难在学校中维持.
- 学校内的同行领导者为可扩展的实施提供了潜在的解决方案.
研究的目的:
- 检查一个基于网络的过程,用于识别小学同行教练.
- 评估教育工作者对同行教练识别过程的满意度.
- 了解如何反可以改进这个过程的实际应用.
主要方法:
- 三所学校的教育工作者 (n=85) 参加了社交网络提名和满意度调查/访谈.
- 分析研究实践伙伴关系会议记录和现场笔记.
- 采用了与学校合作的,基于网络的方法.
主要成果:
- 基于网络的过程确定了不同的同行教练团队.
- 这个过程需要灵活性,以适应不断变化的学校环境,如员工流动.
- 教师的反影响了对识别过程的修改.
结论:
- 利用教师网络是确定合适的同行教练的有希望的策略.
- 这种方法可以提高辅导在现实世界小学环境中的可访问性.
- 最终,这可以为所有学生带来更加公平和支持性的学习环境.
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