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Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning

Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning

Boudett, Kathryn Parker (Editor)


Harvard Education Press


In an effort to increase data literacy among school leaders in Quebec’s English sector, the EBP Project relies heavily on the teachings and tools from Data Wise in their professional development. Schools’ shared mission of supporting students to achieve their best must begin with ensuring that teaching and learning practices are based on evidence of their effectiveness. This book provides school leaders with the necessary information and resources to help staff be accountable for using available data and engaging in a group process to improve instruction.


The eight step data wise improvement process with diagrams, which is fundamental to the organisation of the book and it’s teachings, takes readers through all the necessary steps involved in creating data literate schools. The book is a good starting point for schools wanting to increase their staff’s ability to interpret their student data, build a culture of improvement through better understanding of results, and take forward instructional strategies to improve student outcomes. This book forms part of the EBP Project’s fundamental reading list for consultants and and school administrators aiming to build capacity among school staff through a collaborative improvement process. It is one of the first books shared and used during professional development and the eight step improvement process is referenced regularly.


The data wise improvement process is a useful tool for any school team starting on their improvement journey. The diagram should be used to help schools to plan and organise their collaborative work, build assessment literacy, create an overview of their data, dig into student data, examine instruction, develop a plan to assess progress, and finally make changes. The book provides a great basis for shared learning and group discussions or practice with school’s own data.

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