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Planning your Deep Learning Inquiry
Planning your Deep Learning Inquiry
The Collaborative Inquiry process is a powerful strategy for change because it:
promotes professional dialogue
provides staff with support from colleagues to consolidate new thinking.
fosters whole staff engagement with innovative practices
contributes directly to improved student learning
In planning and implementing your Deep Learning inquiry, it is important that you:
Make the Learning Goals explicit for your students;
Provide the students with clear assessment criteria for your curriculum area goals;
Include the Student-Friendly Deep Learning progression rubric for your 7C dimension(s).
You can use any platform for your interface with students, whether Hapara Workspace, Google Classroom, Google Sites, other platforms, the whiteboard, or pen and paper. Whatever you do, it would be helpful if you can incorporate the terminology of Learning Goals, Learn, Create, and Share into your resources/platform, as we are trying to make these consistent for learners across the school.
Hapara Workspace Users - Additional Information
Hapara Workspace Users - Additional Information
The Unit Planning section of the ŌC NPDL Inquiry Planning Template is set out using the same column headings as we use in our Hapara Workspaces. You can transfer the student-friendly version of your learning goals, resources, teaching and learning activities and assessment/reflection directly to the same columns in your Hapara Workspace, using the ŌC Hapara Workspace Template.
Videos to support the Four phases of Deep Learning Inquiry ↓↓↓
Videos to support the Four phases of Deep Learning Inquiry ↓↓↓
The videos below are a helpful guide in terms of supporting a comprehensive deep learning inquiry from start to finish and back to the start again! As you continue your deep learning journey, use them to support your planning and implementation at each stage.
Inquiry Module 1 Assess.mp4This video gives some ideas and resources around gathering student voice and perspective to inform our deep learning inquiries.
Inquiry Scanning Questions Toolkit (this is the doc referred to in the video above)
Inquiry Module 2 Design.mp4Inquiry Module 3 Implement.mp4Inquiry Module 4 Measure Reflect and Change.mp4This page was last updated on 26/01/2025 by JTY. Updated links to 2025 resources.
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