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July 26 2017 Margie Johnson EdD Collaborative Inquiry Coordinator Please sit in groups Thanks Todays Purpose and Outcome Our purpose is to foster a culture of collaboration to support student success ID: 622845

collaborative data learning inquiry data collaborative inquiry learning student amp mnps lipton wellman love dashboard 2009 2012 questions process

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Slide1

Welcome

July 26, 2017Margie Johnson, Ed.D.Collaborative Inquiry Coordinator

Please sit in groups. Thanks.Slide2

Today’s Purpose and Outcome

Our purpose is to foster a culture of collaboration to support student success.

Our outcome for today’s meeting is to model the collaborative inquiry process for using data to support student success.Slide3

NORMS

Active Participation

Silence Cell PhonesSlide4

Conversation

StarterSlide5

Data

have no

meaning

.

Meaning

is

imposed

through

interpretation

(Wellman & Lipton, 2004, pp. ix-xi).Slide6

The Tale of Two Data MeetingsSlide7
Slide8

Let’s switch gears……Slide9

ObservationsSlide10

MNPS Data Warehouse

http://

datawarehouse.mnps.org

Dashboard

folder

Attendance

Dashboard

folderBehavior

Assessment

folderAssessment

Detail by TeacherSlide11

Questions for the Guiding Conversation

What important points seem to pop out?

What patterns, categories, or trends are emerging?

What seems to be surprising or unexpected?

What are some questions this data generates?

BecauseSlide12

Theories of Causation

--Wellman & Lipton, 2012Slide13

Comparison of Data MeetingsSlide14
Slide15

How do we bridge the gap between data and results, so all students have educational success?

What is the bridge made of?

Data

Results

Love, 2009

Collaborative

InquirySlide16

Collaborative Inquiry

Collaborative Inquiry

is stakeholders

working together

to uncover and

understand problems

and to

test out solutions together

through rigorous

use of data and reflective dialogue

.

Assumption

: This process

unleashes the resourcefulness

of stakeholders to

continuously improve learning

.

Adapted from N. Love, K.E. Stiles, S. Mundy, and

K.DiRanna

, 2008Slide17

MNPS Collaborative Inquiry Community of Practice

MNPS

Collaborative

Inquiry

Collaborative Inquiry

is a

data-based team

process that consciously uses the

collaborative learning cycle

(activating and engaging, exploring and discovering, and organizing and integrating) and the

qualities of effective

groups

(

fostering a culture of trust, maintaining a clear focus, taking collective responsibility and data-informed decision-making).Slide18

Activating and Engaging

What assumptions do we bring?

What are some predictions we are making?

What questions are we asking?

What are some possibilities for learning?

Collaborative

L

earning Cycle

Exploring and Discovering

What important points seem to pop out?

What patterns, categories, or trends are emerging?

What seems to be surprising or unexpected?

What are some ways we have not yet explored these data?

Organizing and Integrating

What inferences, explanations, or conclusions might we draw?

What additional data sources might verify our explanations?

What solutions might we explore?

What data will we need to guide implementation?

Managing

Modeling

Mediating

Monitoring

--Lipton, L. & Wellman, B. (2012).

Got data? Now what?

Bloomington, IN: Solution Tree, Inc.Slide19

Student Profile Dashboard

DemographicsEnrollment RecordAttendance RecordDiscipline Record

Attendance

(not available at this time)

Dashboard folder---Student ProfileSlide20

Student Record

SummaryAssessmentAttendanceCohort Group/Programs

Discipline

Enrollment

Grades

Schedule

Support and Interventions

Demographics

IEP

Contacts

Home Page--Student RecordSlide21

Reflection…3, 2, 1

3 Things you Learned2 Things you Plan to Share1 Thing you Plan to DoSlide22

Feedback---

How Was Today’s Meeting

Individually

Use a post-it note to provide feedback.Slide23

Wrap-Up….Slide24

MNPS Collaborative Inquiry Toolkit

www.mnpscollaboration.org

Slide25

References

Lipton, L. & Wellman, B. (2012). Got data? Now what? Bloomington, IN: Solution Tree.

Lipton, L. & Wellman, B. (2011).

Groups at work: Strategies and structures for professional learning

. Sherman, CT:

MiraVia

, LLC.Love, N. (2009). Using data to improve learning for all: A collaborative inquiry approach. Thousand Oaks, CA: Corwin.

Love, N., Stiles, K.E., Mundy, S., &

DiRanna

, K. (2009).

The data coach’s guide to improving learning for all students: Unleashing the power of collaborative inquiry.

Thousand Oaks, CA: Corwin

.Slide26

Thanks for

all you do for our students!

Hope

you have a wonderful day

!

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