Looking for Learning

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Friday 14th October 2016 Ext Group 1: 8.45 to 10.30 Ext Group 2: 10.55 to 12.35 Ext Group 3: 1.30 to 3.10 Bern Nicholls PhD Annelies Hoogland MEd INTRODUCTIONS Looking for Learning Review the pure form of “Looking for Learning” practice and key components of the process Reflect on the power of student voice as a means to improve learning Further explore how we can improve learning through the use of data Gather student voice as learning evidence Experience a Data Driven Dialogue using student voice What is Looking for Learning? Making the shi8 from teaching to learning Understanding how learning happens Collec?ng evidence to improve learning Before Classroom Visit: • Research ques?ons • Role of researcher • Protocol for visi?ng classrooms • Establishing the learning inten?on During Classroom Visit: • Respect for students and teachers • Focus on types and kinds of learning • Collec?ng and scribing learning evidence Follow-up Learning ConversaNon: • Confiden?al • Timely • Evidence based • Iden?fying types of learning • Forward focused ReflecNve PracNce: Focusing on iden?fying, improving and increasing student learning School Structures and Systems: How can Looking for Learning: • become embedded within the school culture? • inform school leadership and prac?ce? • develop and support collabora?ons for learning? • drive ini?a?ves to improve learning?

Transcript of Looking for Learning

Page 1: Looking for Learning

Friday14thOctober2016

ExtGroup1:8.45to10.30ExtGroup2:10.55to12.35ExtGroup3:1.30to3.10BernNichollsPhD

AnneliesHooglandMEd INTRODUCTIONS

Looking for Learning Review the pure form of “Looking for

Learning” practice and key components of the process Reflect on the power of student voice as a

means to improve learning Further explore how we can improve

learning through the use of data Gather student voice as learning evidence

Experience a Data Driven Dialogue using student voice

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WhatisLookingforLearning?Makingtheshi8fromteachingtolearningUnderstandinghowlearninghappensCollec?ngevidencetoimprovelearning

BeforeClassroomVisit:•Researchques?ons•Roleofresearcher•Protocolforvisi?ngclassrooms•Establishingthelearninginten?on

DuringClassroomVisit:•Respectforstudentsandteachers•Focusontypesandkindsoflearning•Collec?ngandscribinglearningevidence

Follow-upLearningConversaNon:•Confiden?al•Timely•Evidencebased•Iden?fyingtypesoflearning•Forwardfocused

ReflecNvePracNce:Focusingoniden?fying,improvingandincreasingstudentlearning

SchoolStructuresandSystems:HowcanLookingforLearning:•becomeembeddedwithintheschoolculture?•informschoolleadershipandprac?ce?•developandsupportcollabora?onsforlearning?•driveini?a?vestoimprovelearning?

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Using data to improve Learning

Ensuring that students learn

A culture of collaboration Focus on the learning process and outcomes

1. State the problem/issue/curiosity2. Collect the data3. Follow a protocol4. Use a data driven dialogue5. Share a way forward

Student Voiceto improve learning

1. State the problem/issue/curiosity2. Collect the data3. Follow a protocol4. Use a data driven dialogue5. Share a way forward

Student Voiceto improve learning

1. What might be a curiosity related to student learning?

Our two Questions:

1. What helps learning?

2. What hinders learning?

Gatheringevidence using student voice

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Phase 1PredictWhat are your preliminary thoughts about the data? I assume…I predict… I expect…

Phase 2Go VisualHow will we present the actual data for engagement? graphs tables narratives video

Phase 3ObserveWhat do you see? just the facts… I observe… I count… Some patterns… A trend…

Phase 4ThinkWhat inferences can you make? It seems… I believe…data suggests… I think…because… I am surprised…

Phase 5WonderWhat questions does the data raise for you? Additional data that may be helpful…

Phase 6Action ForwardWhat are the implications for learning and teaching? A solution may be… What may work is…

Adapted from: School Reform Initiative, Data Driven Dialogue (based on work presented by Nancy Love, 2002)

Data Driven

Dialogue

PHASE1

1. State the problem/issue/curiosity2. Collect the data3. Follow a protocol4. Use a data driven dialogue5. Share a way forward

Student Voiceto improve learning

2. & 3. How and where will we collect the learning data from students?

• Suspend any preconceptions • Have positive regard for the teachers and

students• Keep a low profile but introduce yourself• Engage with the students• Don’t get involved in the teaching• Record your observations in real time!• Probe for actual evidence

(tell, show and how?)• Thank students at the end

Student Voice Protocol Gatheringthedata…

15minutes

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AVergatheringthedata…thelearningconversaNonorDDD

Thefollow-uplearningconversaNon(DDD)isattheheartofusingthequalita?vedatasuccessfully!

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TheLearningConversaNonorDataDrivenDialogues

OutcomesAllowcolleagues/teams:ToreflectonthekeyLfLques?onsinlightofevidenceTocometogoodjudgementsTobegintoreflectonclassroomprac?ceTolearnwithandfromeachotherToimprovelearning

Phase 1PredictWhat are your preliminary thoughts about the data? I assume…I predict… I expect…

Phase 2Go VisualHow will we present the actual data for engagement? graphs tables narratives video

Phase 3ObserveWhat do you see? just the facts… I observe… I count… Some patterns… A trend…

Phase 4ThinkWhat inferences can you make? It seems… I believe…data suggests… I think…because… I am surprised…

Phase 5WonderWhat questions does the data raise for you? Additional data that may be helpful…

Phase 6Action ForwardWhat are the implications for learning and teaching? A solution may be… What may work is…

Adapted from: School Reform Initiative, Data Driven Dialogue (based on work presented by Nancy Love, 2002)

Data Driven

Dialogue

PHASE2

Phase 1PredictWhat are your preliminary thoughts about the data? I assume…I predict… I expect…

Phase 2Go VisualHow will we present the actual data for engagement? graphs tables narratives video

Phase 3ObserveWhat do you see? just the facts… I observe… I count… Some patterns… A trend…

Phase 4ThinkWhat inferences can you make? It seems… I believe…data suggests… I think…because… I am surprised…

Phase 5WonderWhat questions does the data raise for you? Additional data that may be helpful…

Phase 6Action ForwardWhat are the implications for learning and teaching? A solution may be… What may work is…

Adapted from: School Reform Initiative, Data Driven Dialogue (based on work presented by Nancy Love, 2002)

Data Driven

DialoguePHASE3

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Phase 1PredictWhat are your preliminary thoughts about the data? I assume…I predict… I expect…

Phase 2Go VisualHow will we present the actual data for engagement? graphs tables narratives video

Phase 3ObserveWhat do you see? just the facts… I observe… I count… Some patterns… A trend…

Phase 4ThinkWhat inferences can you make? It seems… I believe…data suggests… I think…because… I am surprised…

Phase 5WonderWhat questions does the data raise for you? Additional data that may be helpful…

Phase 6Action ForwardWhat are the implications for learning and teaching? A solution may be… What may work is…

Adapted from: School Reform Initiative, Data Driven Dialogue (based on work presented by Nancy Love, 2002)

Data Driven

Dialogue

PHASE4

Phase 1PredictWhat are your preliminary thoughts about the data? I assume…I predict… I expect…

Phase 2Go VisualHow will we present the actual data for engagement? graphs tables narratives video

Phase 3ObserveWhat do you see? just the facts… I observe… I count… Some patterns… A trend…

Phase 4ThinkWhat inferences can you make? It seems… I believe…data suggests… I think…because… I am surprised…

Phase 5WonderWhat questions does the data raise for you? Additional data that may be helpful…

Phase 6Action ForwardWhat are the implications for learning and teaching? A solution may be… What may work is…

Adapted from: School Reform Initiative, Data Driven Dialogue (based on work presented by Nancy Love, 2002)

Data Driven

DialoguePHASE5

Phase 1PredictWhat are your preliminary thoughts about the data? I assume…I predict… I expect…

Phase 2Go VisualHow will we present the actual data for engagement? graphs tables narratives video

Phase 3ObserveWhat do you see? just the facts… I observe… I count… Some patterns… A trend…

Phase 4ThinkWhat inferences can you make? It seems… I believe…data suggests… I think…because… I am surprised…

Phase 5WonderWhat questions does the data raise for you? Additional data that may be helpful…

Phase 6Action ForwardWhat are the implications for learning and teaching? A solution may be… What may work is…

Adapted from: School Reform Initiative, Data Driven Dialogue (based on work presented by Nancy Love, 2002)

Data Driven

Dialogue

PHASE6

1. State the problem/issue/curiosity2. Collect the data3. Follow a protocol4. Use a data driven dialogue5. Share a way forward

Student Voiceto improve learning

Page 6: Looking for Learning

What are your opportunities for using Student Voice?

Looking for Learning Review the pure form of “Looking for

Learning” practice and key components of the process Reflect on the power of student voice as a

means to improve learning Further explore how we can improve

learning through the use of data Gather student voice as learning evidence

Experience a Data Driven Dialogue using student voice