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Use of an Online Platform to Facilitate and Investigate Data-Driven Instructional Coaching
Assessment for Effective Intervention Pub Date : 2018-12-19 , DOI: 10.1177/1534508418811593
Todd A. Glover 1 , Linda A. Reddy 1 , Alexander Kurz 2 , Stephen N. Elliott 2
Affiliation  

This article presents theoretical and empirical support for a data-driven instructional coaching approach and emerging evidence for the contributions of an online platform in operationalizing, assessing, and facilitating the implementation of key coaching actions for both research and practice. The contributions of an online platform in guiding the implementation and investigation of key coaching actions (i.e., modeling, facilitation of practice, and feedback) throughout a five-phase coaching sequence are presented. The article outlines initial research to demonstrate the utility of the online platform for advancing an understanding of how coaching actions predict teacher and student outcomes. This research suggests that there are predictive relationships between coaching actions and the fidelity of implementation of teacher interventions, reductions in instructional gaps, and student achievement. The implications of this work for advancing coaching practices and future empirical investigations are described.

中文翻译:

使用在线平台促进和调查数据驱动的教学指导

本文为数据驱动的教学指导方法提供了理论和实证支持,并提供了在线平台在操作、评估和促进研究和实践关键指导行动实施方面的贡献的新证据。介绍了在线平台在指导实施和调查关键教练行动(即建模、促进实践和反馈)的整个五个阶段教练序列中的贡献。本文概述了初步研究,以证明在线平台在促进理解辅导行为如何预测教师和学生成果方面的效用。这项研究表明,教练行为与教师干预实施的保真度之间存在预测关系,减少教学差距和学生成绩。描述了这项工作对推进教练实践和未来实证调查的影响。
更新日期:2018-12-19
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