Description:How can to strengthen the consistency and quality of instruction through strategic and intentional cycles of continuous improvement that empowers the use of data as a tool for reflection on professional practice? How can we strengthen data analysis so that educators are able to draw meaningful conclusions from academic performance data and promotes change in their approach to instruction in service of student needs? Attendees will identify the key elements of teaching and learning cycles the enables data to be relevant, actionable and impactful. Participants will examine student work to practice data analysis skills so they will take with them, practical tools and skills to strengthen analysis with their own teacher teams.
Objectives: - Understand the criterion of a strong Teaching and Learning Cycle
- Notice how strong data/student work analysis practices drive the Teaching and Learning Cycle
- Reflect on the strengths and opportunities of your current teaching and learning cycle
Credit Reflection Questions: - How do you currently approach quantitative and student work analysis?
- How does this process elevate student misconceptions, unfinished teacher and learning?
- How does teacher practice shift as a result of your data analysis process?
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