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Assessing deep learning
The document discusses a workshop led by Michael Fullan on deep learning, emphasizing its importance in building collaborative school networks for whole system change. It highlights the characteristics of deep versus surface learning, provides tools for assessing deep learning competencies, and advocates for new pedagogies that integrate student voice, blended learning, and inquiry-based learning. Key competencies in deep learning include collaboration, creativity, critical thinking, character, and citizenship.
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Assessing deep learning
- 1. @ulearnnz #ulearn16 #cenz16 AssessingDeep Learning Breakout One, Ulearn, 2016 Derek Wenmoth CORE Education
- 2. @ulearnnz #ulearn16 #cenz16 • Deep Learning is the key focus of an interna4onal collabora4on led by Michael Fullan, involving clusters and networks of schools working together to build knowledge and prac4ces that develop deep learning and foster whole system change. • In this workshop par4cipants will be introduced to the measures being used to evaluate the deep learning in this programme, and experience how these are applied in a prac4cal way to form judgements about the learning that is occurring.
- 3. @ulearnnz #ulearn16 #cenz16 Defining Deep Learning • Share a story of a lesson/unit/learning experience that you consider to be a good example of ‘deep learning’ • What made it ‘deep’ • What indicators do you use?
- 4. @ulearnnz #ulearn16 #cenz16 What are the characteris4cs of deep and surface learning? Surface Deep Memorise for assessment Ac4ve search for meaning Failure to dis4nguish principles from examples Vigorous interac4on with content Focus on discrete facts without integra4on Relate new ideas to exis4ng knowledge Unreflec4ve about purpose and strategies Relate concepts to everyday experience Anxiety Relate evidence to conclusions Low long term reten4on Confidence High long term reten4on
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- 7. @ulearnnz #ulearn16 #cenz16 ShiRing Prac4ce…. Learning Condi2ons Rubrics to assess: ▪ System Condi4ons ▪ Cluster Condi4ons ▪ School Condi4ons ▪ Implementa4on Diagnos4c New Pedagogies Tools and protocols to design deep learning experiences: ▪ New Pedagogies Learning Design Rubric ▪ New Pedagogies Learning Design Protocol ▪ Teacher Self- Assessment Deep Learning Outcomes Learning Progressions to assess and measure deep learning competencies: ▪ Character ▪ Ci4zenship ▪ Collabora4on ▪ Communica4on ▪ Crea4vity ▪ Cri4cal thinking PROCESS + SUITE OF TOOLS Collabora2ve Inquiry Cycle Assess Design Implement Reflect Change
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- 10. @ulearnnz #ulearn16 #cenz16 Deep Learning • Collabora4on • Cri4cal Thinking • Crea4vity • Ci4zenship • Communica4on • Character
- 11. @ulearnnz #ulearn16 #cenz16 New Pedagogies • Student voice and agency • Blended learning • Project based / Inquiry learning • Direct instruc4on
- 12. @ulearnnz #ulearn16 #cenz16 Leveraging Digital ● Personalisa4on ● Connec4ng & Collabora4ng ● Real 4me assessment, feedback & repor4ng ● Authen4c rich learning contexts ● Accessible flexible learning
- 13. @ulearnnz #ulearn16 #cenz16 Learning Partnerships • Students • Teachers • Parents • Community • Industry • Experts
- 14. @ulearnnz #ulearn16 #cenz16 Learning Environment • Schools • Home • Global • Outdoors • Libraries • Virtual
- 15. @ulearnnz #ulearn16 #cenz16 Pedagogical Prac2ces – • Student voice and agency • Blended learning • Project based / Inquiry learning • Direct instruc4on Learning Partnerships – • Students • Teachers • Parents • Community • Industry • Experts Leveraging Digital – ● Personalisa4on ● Connec4ng & Collabora4ng ● Real 4me assessment, feedback & repor4ng ● Authen4c rich learning contexts ● Accessible flexible learning Learning Environments – • Schools • Home • Global • Outdoors • Libraries • Virtual
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