Based on our book, Data-Driven Dialogue: A Facilitator’s Guide to Collaborative Inquiry, this foundational seminar introduces a three-phase Collaborative Learning Cycle to guide productive collective inquiry. Participants investigate strategies and structures that reduce defensiveness and create shared responsibility for student learning. We will hone practical tools for discovering assumptions, promoting data-focused inquiry, and developing shared understandings of both problems and possible solutions. These understandings become the foundation for dynamical planning processes.
Using data to focus a group’s attention and energy
Apply a variety of interactive structures to help individuals and groups construct meaning as they interact with data and each other. Develop strategies for interpreting, analyzing, and applying data to the work of school improvement. Learn how to design engaging data explorations with both quantitative and qualitative data and structure interactive conversations with classroom teachers and those who support them.
Applying The Collaborative Learning Cycle
Experience and apply a three-phase model for guiding data-driven dialogue and collaborative inquiry. Learn how to frame data-based inquiry that help groups: activate prior knowledge by surfacing predictions and underlying assumptions before examining data sets; explore and discover patterns, trends, and surprises in data displays; and organize and integrate learning by developing theories of causation and theories of action as platforms for thoughtful school improvement planning.
Extending a repertoire of facilitative tools
Refine and enhance your personal toolkit for facilitating productive group learning, planning, and problem solving. Learn verbal and nonverbal tools for inviting and sustaining the thinking of group members. Increase your confidence when facilitating difficult conversations as you use data to promote professional interactions about tough-to-talk-about topics.