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Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based dynamic inquiries for school improvement.”

Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

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OUTCOMES: 1.IDENTIFY IMPORTANT TOPICS RELATED TO MME 2.LEARN MORE ABOUT MME STANDARDS, COMPONENTS, AND ASSESSMENT DESIGN 3.DEMONSTRATE AND EXPLORE THE NEW MME INQUIRIES

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Page 1: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Data for Student Success May, 2010

Ann Arbor, MI“It is about focusing on building a culture of quality data

through professional development and web based dynamic inquiries for school improvement.”

Page 2: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Introduction to the Grant

• Federal Title II Part D of the NCLB Act of 2001 Enhancing Education through Technology Grant awarded through CEPI

Page 3: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

OUTCOMES:

1. IDENTIFY IMPORTANT TOPICS RELATED TO MME

2. LEARN MORE ABOUT MME STANDARDS, COMPONENTS, AND ASSESSMENT

DESIGN

3. DEMONSTRATE AND EXPLORE THE NEW MME INQUIRIES

Page 4: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

WHAT DO YOU KNOW ABOUT MME?

Page 5: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

(SEE HANDOUT)

MME Spring 2009 Assessment Design

Page 6: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

(SEE HANDOUT)

Spring 2009 MME Contributing Components

Page 7: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

(SEE HANDOUT)

Spring 2009 MME High School Content

Standards by Subject

Page 8: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

www.data4ss.org

Page 9: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 10: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 11: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

www.data4ss.org

User name: demo_test1

Password: fall_01

Page 12: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 13: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 14: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

School Year

Reading/ELA

Grade

3 4 5 6 7 8 11

2001-02   38%     31%   42%

2002-03   38%     31%   42%

2003-04   38%     31%   42%

2004-05   48%     43%   52%

2005-06 50% 48% 46% 45% 43% 41% 52%

2006-07 50% 48% 46% 45% 43% 41% 52%

2007-08 60% 59% 57% 56% 54% 53% 61%

2008-09 60% 59% 57% 56% 54% 53% 61%

2009-10 70% 69% 68% 67% 66% 65% 71%

2010-11 78% 77% 76% 75% 74% 73% 79%

2011-12 86% 85% 84% 83% 82% 82% 86%

2012-13 93% 92% 92% 91% 91% 91% 93%

2013-14 100% 100% 100% 100% 100% 100% 100%

School Year

Mathematics

Grade

3 4 5 6 7 8 11

2001-02   47%       31% 33%

2002-03   47%       31% 33%

2003-04   47%       31% 33%

2004-05   56%       43% 44%

2005-06 59% 56% 53% 50% 46% 43% 44%

2006-07 59% 56% 53% 50% 46% 43% 44%

2007-08 67% 65% 62% 60% 57% 54% 55%

2008-09 67% 65% 62% 60% 57% 54% 55%

2009-10 67% 65% 62% 60% 57% 54% 55%

2010-11 75% 74% 71% 70% 67% 66% 67%

2011-12 83% 82% 81% 80% 78% 77% 78%

2012-13 91% 91% 90% 90% 89% 89% 89%

2013-14 100% 100% 100% 100% 100% 100% 100%

Michigan Annual AYP Objectives

Page 15: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 16: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 17: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 18: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 19: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 20: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 21: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 22: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 23: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 24: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 25: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

School Data Dig

• Access your own school’s data• You may use the templates provided to

record your own MME data for– MME Proficiency 11th grade– MME Proficiency Subgroups

Page 26: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

MME Standard Analysis

Page 27: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Accessing Demo Data

• www.data4ss.org• Dynamic Inquiry• Access Dynamic Inquiry Tool• User Name: demo_test1• Password: fall_01• MME • Standard Analysis

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Page 28: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Navigation Process for Demo Site

• Select Inquiry Settings - tab• Select Demo ISD• Select Disneyland School District• Select Grzebien High School• Select 11th grade• Select Reading• Select 2008-09• View Results

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Page 29: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

MME Standard Analysis

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Page 30: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

MME Blueprint for 2008-2009

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Page 31: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

MME Standard AnalysisMain Graph

• Identifies points possible for each standard within a content area

• Identifies average number of points received by the state and the school in each standard assessed

• Identifies the Blueprint which shows the breakdown of points and percentage by standard for each content area

Page 32: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

MME Reading Standard Analysis Spring 2009

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Page 33: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

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Page 34: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

What information does the detail graph provide?

• Identifies the state average number of points on the continuum of points available in the identified standard

• Identifies how our students performed on this standard in comparison to the state average.

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Page 35: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Student Data

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Page 36: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

What information does the student data provide?

• Identifies the students who scored in the same point range on a particular standard

For each student the following is identified• Scaled score• Proficiency level for content area• Maximum points in the standard • Points scored • Percent Correct

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Page 37: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based
Page 38: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Data Narrative Statements…• Are objective statements of FACT about the

school data• Represent student achievement, demographics,

school programs, school processes, and stakeholder perceptions

• Communicate a SINGLE idea• Are clear and concise – written in sentences or

phrases• Describe the data; they do not evaluate the data!• MUST stand alone; they do not require the data

source to accompany them in order to be understandable

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Page 39: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

How might we use the Tabular results to write data narrative

statements about our students?

Page 40: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

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13 students scored

equal to or more than

half the points

possible in this

standard

16 % of our students scored

equal to or more than

half the points

possible in this

standard

70 Students scored

less than half the points

possible in this

standard

84% of our students

scored less than half

the points possible in

this standard

Page 41: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Standard Analysis Tabular Results

Page 42: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

School – Data Dig MME Standard Analysis 2008-09

• Complete data dig• Access Data 4SS inquiry tool

• Focus on Reading and Math• Templates

• MME Main Graph• Tabular Results

• Reading Standard Analysis• MME Math Standard Analysis

• Data Narrative Statements42

Page 43: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Navigation Process • Login• Select Inquiries – MME Standard Analysis• Select Inquiry Settings - tab• Select ISD

– Select District – Select School– Select Grade Level– Select Subject– Select School Year(s)

• View Results

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Page 44: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Where do we go next?

Page 45: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

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13 students scored

equal to or more than

half the points

possible in this

standard

16 % of our students scored

equal to or more than

half the points

possible in this

standard

70 Students scored

less than half the points

possible in this

standard

84% of our students

scored less than half

the points possible in

this standard

Page 46: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Use of High School Content Expectation Document

• Find the Standard indicated on the MME Standard Analysis Blueprint

• Determine the Content Expectations contained within this standard

• Which Content Expectations are identified as Pre-MME?

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Page 47: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Tabular Results for Standard 2.2

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Page 48: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

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Expectations identified as Pre-MME by Standard

Page 49: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Now that we have identified the Content Expectations within the

Standard what is our next question?

• What concepts and skills do students need to know and be able to do to be successful on these content expectations?

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Page 50: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

• Where are these Content Expectations taught?– What courses?– What grades?

• How are these Content Expectations taught?– Do we use common instructional practices?– Are our practices effective?

• How are we going to assess these Content Expectations?– Do we use common assessments linked to these

Content Expectations?– Do we analyze and use the results of our common

assessments?

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Page 51: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

• How do we know that students have learned these Content Expectations?

• What evidence will we collect?

• What are we going to do for the students that did not learn?

• What are we going to do for the students who have learned these expectations?

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Page 52: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

“High-quality classroom data clearly reflective of the students’ attainment of the

most critical academic content – and available to educators routinely throughout the quarter/semester/year – are the data teachers need to be able to analyze in

order to determine if students are indeed “hitting the target.”

Common Formative Assessments by Larry Ainsworth and Donald Viegut, 2006

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Page 53: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

What do we know about our High School Students?

• The last state assessment is given in the beginning of the 8th grade year for Math and Reading?

• How do we know what 9th graders know as they come into high school?

• What data are we using to monitor student learning between 8th grade and 11th grade?

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Page 54: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Assessing your Culture of Quality DataAssessment Inventory

• What does our school have in place?• What data source are they using?• Do they have:

– long-term or summative data?– medium-term or formative/summative data?– short-term or formative data?

• In which content areas?• Who uses all this data?

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Page 55: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Assessing your Culture of Quality DataAssessment Inventory Activity Objectives

• Designed to inventory the sources of data used by individual schools.

• Enables schools to identify the dates data is collected, its audience, and how it is used.

• Provides schools an overall inventory of the sources of their data in a clear and concise chart.

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Page 56: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Data Assessment InventoryState Assessment Level

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Page 57: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Assessment Inventory Local Assessment Level

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Page 58: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

Assessing the Culture of Quality Data

• Using your school– What data do you collect?

• Use template to record what you currently know– What is in place?– Where do we need to go next?

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Page 59: Data for Student Success May, 2010 Ann Arbor, MI “It is about focusing on building a culture of quality data through professional development and web based

QUESTIONS?