Data Analysis for Continuous School Improvement
A Session by Bradley J. Geise (Senior Director, Author, Education for the Future)
About this Session
This session will provide participants with an overview of the data analysis for Continuous School Improvement work that can lead schools to understanding what needs to change in order to get different results. WHY data are important to continuous school improvement, WHAT data are important to Continuous School Improvement, and HOW to analyze it will be covered. A framework along with other tools and resources for implementation will be provided. Specific content will include multiple measures of data, how to pull all the data pieces together to improve learning, how to use data and staff engagement to dig deeper into school programs/processes, inspire a shared vision, and how to connect strategic planning to the shared vision.
SESSION OUTCOMES:
• Develop a common approach, understanding, and language for improvement by utilizing the Continuous School Improvement framework and multiple measures of data.
• Build capacity to facilitate data analysis for Continuous School Improvement, engaging multiple measures of data throughout application of the entire framework.
• Explore the leadership context relative to data analysis for Continuous School Improvement, such as inspiring focus on shared vision over compliance, the importance of an innovative mindset, etc.
• Specific focus on practically apply tools and resources to dig deeper into the relationship between data analysis, improving school programs and processes, and creating a shared mission and vision.
About The Presenter
Senior Director, Author, Education for the Future
We build the capacity of learning organizations to use data to improve teaching and learning. Authors of the Continuous School Improvement Framework, Multiple Measures of Data, and the best selling Data Analysis for Continuous School Improvement, 4th Ed.