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Cole  Elementary  Grade Level Team Meetings Cole  Elementary  Grade Level Team Meetings

Cole Elementary Grade Level Team Meetings - PowerPoint Presentation

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Cole Elementary Grade Level Team Meetings - PPT Presentation

Please sit in a group Thanks October 26 2017 Margie Johnson EdD Outcomes Our outcomes today are to use the collaborative inquiry process for analyzing multiple sources of data and developing recommended BHAG math goals for the year ID: 656725

collaborative data learning inquiry data collaborative inquiry learning amp wellman love results exploring lipton organizing process thousand goals bridge

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Slide1

Cole Elementary Grade Level Team Meetings

Please sit in a group. Thanks!

October 26, 2017

Margie Johnson, Ed.D.Slide2

OutcomesOur outcomes today are to use the collaborative inquiry process for analyzing multiple sources of data and developing recommended BHAG math goal(s) for the year.Slide3

What does this picture have to do with data?

Adapted from Groups

at Work –

2011--MiraVia LLC

Visual SynecticSlide4

Data have no meaning

.

Meaning

is

imposed through interpretation (Wellman & Lipton, 2004, pp. ix-xi).Slide5

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

InquirySlide6

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, 2008Slide7

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).MNPS Collaborative Inquiry Community of PracticeMNPS Collaborative

InquirySlide8

Collaborative L

earning Cycle

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?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 IntegratingWhat 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. (

2012Slide9

Calibrating ActivitySlide10

Exploring and Discovering—Data Dive

Assessment—Assessment Summary by Subgroups for math (MAP &

FAST Bridge).Slide11

Collaborative L

earning Cycle

Activating and Engaging

What assumptions do we bring

?

Exploring and DiscoveringManagingModelingMediating

Monitoring

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

2012

Organizing and

IntegratingSlide12

Leaders who get the best results combine an ability to set inspiring goals and a willingness to admit that they don’t know exactly how to accomplish those goals.--Kate Sweetman(Sparks, 2007)Slide13

Effective Goals are SMART

S

pecific

M

easurable

AcceptableRelevantTimeframeSlide14

Next StepsSlide15

Reflection, Feedback, and Wrap-UpSlide16

Exit Ticket Reflection

Given what we have discussed and learned today, what might be some actions you take?Slide17

Feedback---How Was Today’s Meeting

Individually

Use a post-it note to provide feedback.Slide18

Wrap UpSlide19

MNPS Collaborative Inquiry Toolkit

www.mnpscollaboration.org

Slide20

ReferencesLipton, 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.Sparks, D. (2007). Leading for results: Transforming teaching, learning, and relationships in schools. Thousand Oaks, CA: SAGE Publications.Wentworth, M. (n.d.) Chalk talk. National School Reform Faculty website. Retrieved from http://www.nsrfharmony.org/system/files/protocols/chalk_talk_0.pdf