aspiring-principals-prs-v1.00-May2008

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HEATHMONT COLLEGE “Creating a Community of Curiosity” John Handley, Principal May 2008

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Purpose of today’s presentation To share some insights from my learning in the Data Wise Course at Harvard University Grad School in 2007

BACKGROUND OBSERVATIONS To create higher levels of student engagement & order : 

BACKGROUND OBSERVATIONS To create higher levels of student engagement & order Aim: (a) Reinforce that Teaching Enables Learning (b) Teachers feel high levels of success and satisfaction (c) Teachers value and commit to high levels of collegial support (d) High alignment across and within the school Source: Professor Richard Elmore (Harvard Uni)

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We know Quality of Instruction is the principal cause of student learning Up to 70% of variation in learning outcomes can be attributed to variation across classes at the same school

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Students have high level capacity to adapt behaviours to be different in classes with different teachers; they pick up quickly on variability in teacher expectations. Students from lower social class (SFO) will only succeed as learners from the way we teach

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Discipline and behaviour are everybody’s responsibility in a high functioning school People learn to do the work by doing the work

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It is important to manage energy as well as time to sustain high performance and personal renewal

Hence, it is important that we enable teachers to : 

Hence, it is important that we enable teachers to talk to each other speak with common voice deal with discipline at point of occurrence Establish strong normative structures to participate in conversations about instructional improvement – i.e. separate the practice from the person, keep conversations at a descriptive level

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AND We progress to teachers regularly meeting to evaluate the effectiveness of teacher practice through analysis of student work How might we do this?

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Data Wise A Roadmap for our data learning journey

DATA WISE : 

DATA WISE The Power of Protocols – Norms for open, honest conversation Meeting habits that support inquiry, dialogue, reflection Opportunities for direct action Facilitative leadership capable of encouraging participation, ensuring equity, building trust Reference: The Power of Protocols, An Educators Guide to Better Practice, 2nd Edn, McDonald, Mohr, Dichter, McDonald, Teachers College Press, Columbia Uni, New York, NY 10027

DATA WISE : 

DATA WISE PREPARE – Work Together INQUIRE – Seek the Truth ACT – Do the Right Thing Reference: DATAWISE, Boudett, City & Murnane, Harvard Education Press

DATA WISE : 

DATA WISE Organise and collaborate Promote Interest – get a Data Wise Team together

DATA WISE : 

DATA WISE Create a Data Inventory – what, where, how, why to date?.

DATA WISE : 

DATA WISE 2. Build Assessment Literacy – Create opportunities for data exploration Make good graphs to catalyse brainstorming Recognise need to analyse different types of data – remember student work is most valuable data

DATA WISE : 

DATA WISE Creating a Data Overview Build a Story Create Charts Create a Presentation

DATA WISE : 

DATA WISE Dig into Data Looking at Student work (Steve Seidel) Digging into Gaps (Ron Ferguson)

DATA WISE : 

DATA WISE Looking at Student work – Evidence – compare work with explicit expectations or standards Precise, shared vocabulary Collaborative conversation with explicit norms (use protocols)

DATA WISE : 

DATA WISE Digging into Gaps – Look for data that can help us reduce the gaps in achievement Tripod Project for School improvement – CONTENT, RELATIONSHIPS, PEDAGOGY Ronald F. Ferguson, Harvard University

STUDENT ENGAGEMENT TARGETS : 

STUDENT ENGAGEMENT TARGETS Feel trusting, safe and welcome in the school environment Behave cooperatively and abide by school rules Embrace mastery skills more than socially comparative skills Work diligently and remain resilient in response to setbacks Achieve satisfaction and a sense of a connection between our effort and progress

Learning Conditions found to be best predictors of Engagement Targets : 

Learning Conditions found to be best predictors of Engagement Targets Feasibility – multiple explanations, outside help Relevance – connections to real life Enjoyment Teacher Support and Demand Peer Support – levels of teasing

TEACHER SUPPORT & DEMAND : 

TEACHER SUPPORT & DEMAND Encouragement Optimistic about student outcomes Deep understanding of students, their strengths and areas needing improvement High expectations of students behaviour and commitment to learning Holding students to account

DATA WISE : 

DATA WISE 5. Examine Instruction – Richard Elmore

DATA WISE : 

DATA WISE Highlights – Wide Ranging collection of student data Selective data is examined by team of teachers in preparation for instructional learning (assessment as, of, for learning) Teachers regularly meet to evaluate the effectiveness of teacher practice through analysis of student work

DATA WISE : 

DATA WISE Develop an Action plan Embed in A.I.P. and Strategic Plans

DATA WISE : 

DATA WISE “JUST BECAUSE YOU TAUGHT IT DOESN’T MEAN THEY LEARNT IT!” Hilary Shea, June 2006 Hence, need for activities that bridge gap between teaching & learning e.g. week in review

DATA WISE : 

DATA WISE Plan to assess Progress Identify evidence you will use to measure increasing effectiveness of teaching to improve learning

DATA WISE : 

DATA WISE Act and assess What is the data telling us about our school? What is data telling us about instructional learning in our school? What are the implications for my classes?

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Data Wise A Roadmap for our data learning journey