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White, I. (2012). Data-Driven Decision Making & Data Teams. Connecticut State Department of Education.

This comprehensive resource on data-driven collaboration includes sample agendas and guiding questions for data-driven team meetings.   This resource also include SMART goal and data organization templates designed to facilitate managing data and monitoring team progress.

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Hamilton, L. et al. (2009). Using Student Achievement Data to Support Instructional Decision Making. Institute of Education Sciences.

This resource makes recommendations for improving the practice of using data to effectively inform instruction. These include making data a part of the on-going cycle of instructional improvement, establishing a clear vision, providing effective supports, and developing and maintaining a data system.

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Kovaleski, J. F., Roble, M. & Agne, M. The RTI Data Analysis Teaming Process. RTI Action Network.

The authors of this guide explain how to identify and plan instruction for students in each of the three tiers in the Response to Intervention (RTI) model. The guide provides a suggested team script for collaborative meetings. A document to record current student performance, team goals, and instructional strategies is also included. Steps to be taken before, during, and after the meeting are outlined.

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Haman, E. & Reeves, J. (2008). Accessing High-Quality Instructional Strategies. California Department of Education & University of California, Davis, School of Education.

This document details why the class-size reduction did not increase access to high quality instruction and narrow the achievement gap: increased demand and movement of experienced teachers to wealthier districts.  It also explores the key question when reducing class size: Are experienced, well-trained teachers available or is there time to develop these teachers?

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Lewis, D., Madison-Lewis, R., Muoneke, A., and Times, C. (2010). Using Data to Guide Instruction and Improve Student Learning. SEDL.

Using data effectively is an essential strategy for school improvement and reform. This article describes how districts in three states used data effectively to improve student performance and drive school improvement.

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Cowan, D. (2009). Creating a Community of Professional Learners: An Inside View. SEDL.

Professional Learning Communities (PLCs) build collegiality and drive school improvement by focusing on teaching and learning. In this article, the author presents six steps to improving the quality of work produced by PLCs.

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Seikaly, L. (2012). Tips from School Improvement Leaders. School Improvement in Maryland.

A common obstacle for school improvement is too many demands and too little time. The author of this article discusses the aligned school improvement process, which prioritizes tasks and clarifies problems and goals. Eight suggestions are made to align school improvement efforts.