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Data: Truth and Lies

Data: Truth and Lies. Heath Henwood Heath.Henwood@bigpond.com Ph 0417 730 904. About: Heath Henwood. Twenty Year in Education, working in Schools 5 years as Principal Last 7 years as a Teaching – Master Teacher, Pedagogical & Curriculum Coach

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Data: Truth and Lies

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  1. Data: Truth and Lies Heath Henwood Heath.Henwood@bigpond.com Ph 0417 730 904

  2. About: Heath Henwood • Twenty Year in Education, working in Schools • 5 years as Principal • Last 7 years as a Teaching – Master Teacher, Pedagogical & Curriculum Coach • Qualifications in Leadership; Education; Science; Technology • Worked in: • State and Private Schools • Low & High Socio-economic Schools, • City Regional & Rural • Primary, P-12 Colleges, Secondary & Special Schools

  3. Today’s Presentation address Why Data? What Data should we collect? Model to Become a Data Driven School How to Analyse Data Using Data to Inform Teacher Practice

  4. 93% of Teachers are Collecting and/or using Data 67% are unhappy with quality & quantity being collected

  5. Why Data? 1. Discover Patterns in Student behaviours & Learning. 2. Discover Patterns in Teacher behaviours, Learning & Teaching. 3. Improve Curriculum 4. Guides Conversations 5. Promotes a Culture of Learning within the School

  6. What Data? What Data will be useful for your School? For Your Teachers? Data is to guide Conversations – What Data is required to direct conversation about: • Academic Learning? • Behaviours? • Communication?

  7. What Data? Formative Assessment Standardise Tests Observations Projects, Essays & Exams Formal Reports eg Medical,

  8. Becoming a Data Driven School Data gives the what, It does not gives the why or how

  9. Becoming a Data Driven School

  10. Becoming a Data Driven School

  11. Analysing Data

  12. Analysing Data

  13. Analysing Data

  14. Analysing Data

  15. Analysing Data Ask what is the Story Behind the Data Putting Faces on the Data Importance of teachers knowing students well.

  16. Analysing Data Not a Solo Journey Collaboration provides a space for professional learning.

  17. Analysing Data Conversation should addressed: • Background information • Areas of need for the student; • Basis for student under-performing / current performance • Identify one area of improvement • Plan SMART goals for this student • Strategies that you will implement • Date for the next meeting.

  18. Using Data to Inform Teacher Practice Conversations are ongoing Teachers are continually getting new data to examine & make changes. Once we notice something in the data, we have the initiate conversations.

  19. Analysing Data Professional conversations – Time Issues Addressed in: • Staff Meetings • Professional Development, twilight sessions, • Through Head of Department.

  20. Using Data to Inform Teacher Practice Utilise Data Walls to provide a visual displays and case management meetings around selected students. Making It Collaborative, Not Competitive Teachers see everyone’s data, not just their own data and scores. Creates a culture of openness

  21. Becoming a Data Driven School

  22. Data Walls

  23. Data Walls

  24. Data Walls

  25. Data Walls

  26. Data Walls

  27. Data Walls Location - Where teachers have regular access Students should have access to their own data.

  28. Using Data to Inform Teacher Practice Develop a school Data-Friendly Culture “Death by Data“ Determine what would be the most useful for teachers Every teacher will have a different comfort level of working with data.

  29. Using Data to Inform Teacher Practice Student Driven Data Have Students rate the content and the teaching In the past Teachers have "Taught to the middle." We need to Teach individuals, corporately

  30. Using Data to Inform Teacher Practice Use the Data to Decide Student Grouping and Differentiation Get Curious About Contradictions and Take Action

  31. Questions? Heath Henwood Heath.Henwood@bigpond.com Ph 0417 730 904

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