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Stan Masters Lenawee ISD February 10, 2012

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1 Stan Masters Lenawee ISD February 10, 2012
Data Dialogues Stan Masters Lenawee ISD February 10, 2012

2 Data Driven Dialogue di·a·logue or di·a·log n. Abbr. dial. 1. A conversation between two or more people. 2. An exchange of ideas or opinions: achieving constructive dialogue with all parties present. --di·a·logue v. The idea is that from this dialogue, new understandings may emerge. This shared understanding forms the base from which we may begin to design changes that will effect our students in positive ways. Deb Clancy, Washtenaw ISD, 2008

3 Culture of Collaboration
Ways of Talking Conversation Deliberation Dialogue Discussion Norms of Collaboration Outcome: Deep Understanding Outcome: Decisions That Stick Culture of Collaboration The Center for Adaptive Schools

4 Listening Respectfully
Ear of the Attentive Listener Eye that is Unswerving Rectitude of the Heart

5 Third Grade Reading Readiness

6 New Cut Scores for Reading
Grade 3 Grade 4 Grade 5 Grade 6 Grade 7 Grade 8 MME Advanced 364 478 565 653 760 853 1141 Proficient 324 419 521 619 721 818 1108 Partially 301 395 501 602 698 796 1081

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8 Using Local Data to Predict MEAP Success
Review your local scores for your 2nd graders from Know that your target for Fall 2011 MEAP is 324 Predict which students will pass using color-coding to indicate probability Dark Green Light Green Yellow Orange Red

9 Elementary Principals Study 3rd Grade Reading Readiness
Last Name First Name AIMSweb S-RCBM (90) AIMSweb S-Maze (14) Dolch % 100% of all 4 lists DRA Independent Lev. (28) Spelling Inven. % 70 12 100 14 86 173 23 15 97 212 30 17 68 11 28 73 9 87

10 How well do the existing local assessments predict success on the Grade 3 Reading MEAP?

11 Predictions Observations Inferences I predict . . . I can count . . . I believe that the data suggests because, …

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13 MEAP Reading Domains Word Study Narrative Text Informational Text
Use strategies to construct meaning Determine meaning of words and phrases in context Narrative Text Describe genre Describe elements of story Describe use of literary devices Informational Text Describe genre Describe use of text features Comprehension Retell main idea and relevant details Compare/contrast relationships across texts Apply knowledge across subjects

14 Word Study 167-221 Narrative Text 168-226 Informational Text 161-230
Range of Student Scores on NWEA Reading Goal RIT Scores Who Were Also Proficient on Fall 2011 Reading MEAP Strand "Green" Scores Word Study Narrative Text Informational Text Comprehension

15 Sand Creek Ruth McGregor Data Dialogues
4th Grade Math PreTest [We] have decided for now to meet with our teachers during one of their grade level meeting times and hold the monthly Data Meetings at that time.   The smaller setting worked great for our teachers – truly had good discussion about data[…] They also seemed to be willing to doing a case study on one student and bring that knowledge back to the table in a month.  Overall,  it was great professional conversations.”  Standard/Cluster Average Michigan MA.4.N.ME ( 4 ) 74% Michigan MA.4.N.MR ( 4 ) 43% Michigan MA.4.N.ME ( 4 ) 42% Michigan MA.4.N.FL ( 4 ) 29% Michigan MA.4.N.FL ( 4 ) 31% Michigan MA.4.N.ME ( 4 ) Michigan MA.4.N.MR ( 4 ) 76% Michigan MA.4.N.MR ( 4 ) 10% 33 DORF Retell 65 Grade 3 Comprehension 5 25 14

16 Morenci Elementary Electronic Student Data Profiles
Dolch Word List 3rd Tri Star Test Grade Equivalent (GE) 3rd Tri Star Test Independent Reading Level 3rd Tri AR Comp% 3rd Tri Math 3rd Tri % Post Test Addition Facts 3rd Tri % Subtraction Facts 3rd Tri % Multiplication Facts 3rd Tri % Division Facts 3rd Tri % Writing 3rd Tri Special Services Recommendations 100 3.2 86 84 80 57 48 2 TITLE I 4.6 4.2 69 62 99 90 97 PR 89 74 49 71 65 54 6.2 5.5 95 1 speech 3.1 3 79 92

17 Current collaboration time is limited
Data Driven Decision Making in Early Literacy Teaching, Fall RDI Symposium Current use of data used more to inform decision on intervention groups than to pace or change content Current collaboration time is limited Collaboration with literacy expert had most impact on teachers’ data use The most effective schools allocated time for structured teacher collaboration around data analysis and instructional planning with colleagues was typically 1/wk, less often w/ literacy or data expert; w/admin the least frequent

18 Assessment Calendars

19 Growth Models

20 Pre - Post Procedures Administered before and after instruction
Source: Measurement Issues Inherent in Educator Evaluation, Presentation by the Michigan Assessment Consortium to the OEAA Educator Evaluation Best Practices Conference, April 15, 2011. Pre - Post Procedures Administered before and after instruction Look at the scores of individual students to determine how many had higher post-test scores (Simple Growth Model) Compare the percentage to the threshold agreed upon by school/district Calculate the mean pre-test score and compare that with the mean post-test score (Simplified Value-Added Growth Model)

21 Sand Creek High School Pre-Test and Post-Test
Student Name Life Skills Pre-test Post-test Growth Writing Pretest Writing Post test Writing 95 55 64 9 85 90 5 38 92 54 70 75 51 65 14 76 11 32 116 84 60 50 4 80 10 -15 103 130 27

22 Onsted Middle School, NWEA Growth, by Teacher, by Class Period
Student Name Teacher Name Class Period 10-11 NWEA Fall Reading Test RIT Score Spring Reading Test RIT Score Growth Test Percentile Test Percentile Growth 7 207 206 -1 15 18 3 2 219 12 10 40 30 212 202 -10 16 9 -7 1 50 35 210 213 14 25 11 220 216 -4 28 32 4 6 226 53 -3 221 214 41 -6 227 -13 56 -21 225 51 70 19 224 223 36 52 231 -29 66 13 -53 232 -19 68 33 -35

23 College and Career Readiness
“On Target” “Off Target”

24 College Readiness Benchmark Scores
Early Indicators of College Readiness College Readiness Benchmark Scores EXPLORE PLAN ACT English English Composition Reading Social Sciences Math Algebra Science Biology ACT Subject Area Test College Course(s) Students who meet a Benchmark on the ACT have ≈ 50% chance of earning a B or better and ≈ 75% chance of earning a C or better in the corresponding college course or courses. Students who meet a Benchmark on EXPLORE or PLAN are likely to have approximately this same chance of earning such a grade in the corresponding college course(s) by the time they graduate high school.

25 Predictions Using EXPLORE to PLAN to ACT
Uses scores in each subject area Use color-coding to indicate probability Dark Green Light Green Yellow Orange Red

26 Reasonable Growth “On Target” “Nearly On Target” “Off Target”
(met or exceeded CRB) “Nearly On Target” (<2 points from CRB) “Off Target” (>2 points from CRB)

27 Average Growth Points Between Tests
“On Target” (met or exceeded CRB) “Nearly On Target” (<2 points from CRB) “Off Target” (>2 points from CRB) Test EXPLORE to PLAN PLAN to ACT English 2-3 3-4 1 Math 1-2 Reading 4-5 Science

28 Secondary Principals Study College and Career Readiness
10-11 PLAN Expected ACT Last name First name English Reading Mathematics Science 16 16-20 17 17-21 14 14-18 20 21-25 21 22-26 22 23-27 10-11 Expected EXPLORE PLAN Last name First name English Reading Mathematics Science 9 10-13 11 12-15 14 15-18 12 13-16 15 16-19 17 18-21 16 17-20 13 14-17 10 11-14

29 PLAN and EXPLORE Item Analysis
Use test booklets from testing Order extra materials for your staff (no cost) Review items from the booklet and the student responses

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31 Identify students who need assistance with the testing formats
Needs identified by students on PLAN test Writing Reading Math Study Skills Identify students who need assistance with the testing formats Writings using ACT rubric Analyzing data in graphs, charts, and tables Use of released items from MDE Use of release practice items from ACT Strategies for completing timed portions of ACT Close and critical reading strategies from MS/HS Literacy Team

32 Dropout Prevention

33 Common Educational Risk Factors Source: http://www. achieve
Attendance: High absences and tardies Behavior: Poor classroom conduct, office referrals, suspensions Grades: Failing marks in academic courses Achievement: Low test scores Progress: Held back at any point, falling behind in credits during high school

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35 Middle School Students Persistently Scoring Below Proficient
110 students in Reading 129 students in Math

36 Suggested Next Steps Move from scores to criteria around the scores
Move from existing rubric/scoring guides to more concise rubric/scoring guides Move from individual analysis to team analysis

37 Common Assessments A common assessment is an assessment typically created collaboratively by a team of teachers responsible for the same grade level, course, or content area.

38 So, do your students know what are the targets for their learning?

39 Implementing Assessments with DataDirector
Common Formative and Summative Assessments Aligned to Expectations and Delivered Online Through DataDirector Common Classroom Summative and Formative Assessments Aligned to Expectations Classroom Summative and Formative Assessments Aligned to Expectations Existing Summative and Formative Classroom Assessments Not Aligned with Expectations Adapted from St. Clair RESA

40 Developing Common Assessments: A Design Overview
Step 1 – Define Purpose Step 2 – Identify “Fair Game” in Terms of Standards Step 3 – Balance of Representation Step 4 – Develop an Assessment Blueprint Step 5 – Select or Develop Items Step 6 – Develop the Assessment Step 7 – Administer and Score the Assessment Step 8 – Set the Cut Scores Source: Center for Curriculum Renewal,

41 Personal Communication
Test Blueprint Methods of Assessment Selected Response Extended Written Performance Personal Communication Target Totals # Points Learning Targets Target 1 3 2 5 Target 2 1 4 7 Target 3 Target 4 Target 5 8 DOK Totals 6 10 14 20 30

42 Reverse Blueprint Design Adrian—Lincoln Elementary
Teacher 1

43 Excellent Examples Webb (1997) Depth of Knowledge Recall Use Strategic
Extended Anderson & Krathwohl (2001) Revised Bloom’s Taxonomy

44 Questions? Stan Masters Coordinator of Instructional Data Services
Lenawee Intermediate School District Fireside Building 4107 N. Adrian Highway Adrian, Michigan (phone) (fax) 44 44


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