ISL Module 4: Setting Goals and Expectations Using Data Informed Decision Making Online

“On the road to improved student achievement – whether in the classroom, school or district – it makes intuitive sense that an accurate roadmap is an essential tool. We need to know where we are now, where we want to be, and what key barriers and opportunities lie between those two points. At the same time, and despite the fact that evidence-based decision making has become a familiar feature of the education landscape, the research confirming the connection between student achievement and data use is surprisingly thin. What this suggests is that, while we acknowledge the value of data, much remains to be done in building our capacity to gather, analyze, interpret and use it to support improvement (Ontario Leadership Strategy Bulletin 5 Ideas Into Action Fall 2011).”

In this module participants will

develop a collaborative school culture in which teachers share responsibility for student learning and school improvement based on system priorities (if appropriate) and student needs
understand terms used in school improvement planning: data, objectives, results, indicators and results-based plans
differentiate between a target and an indicator in a school improvement plan
distinguish between developing a plan based only on objectives and one based on results
collect and analyze student achievement data, demographic data, program data, perceptual data and system data, with teachers
understand how to work with teachers using a variety of data to inform decision making and influence the direction in school improvement planning
explore qualitative and quantitative indicators of success and growth with teachers
engage teachers in the cyclical review of school data and the school’s improvement plan
leading an ongoing monitoring and evaluation of school improvement plan and
identify, with teachers, the next steps in implementing the school improvement plan.

Registration Deadline: June 22, 2015