Decision Making for Results Decision Making for Results

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Decision Making for Results

Decision Making for Results

Decision Making for Results (DMR) DMR is a six-step process that allows you to

Decision Making for Results (DMR) DMR is a six-step process that allows you to examine your school or district data at the macro level. After analyzing this data in a collaborative manner, you will be able to make leadership and instructional decisions to guide your continuous school improvement.

Principles of Decision Making for Results (DMR) Antecedents Adult Actions (Cause Data) Accountability *

Principles of Decision Making for Results (DMR) Antecedents Adult Actions (Cause Data) Accountability * Instructional Strategies * Administrative Structures * Conditions for Learning * Congruence * Respect for Diversity * Fairness * Specificity * Accuracy * Universality * Feedback for continuous improvement Collaboration has to be built into every step of data management and integrated into every data-driven decision.

“Only by evaluating both causes and effects in a comprehensive accountability system can leaders,

“Only by evaluating both causes and effects in a comprehensive accountability system can leaders, teachers, and policymakers understand the complexities of student achievement and the efficacy of teaching and leadership practices. ” Reeves, 2006

Definitions and Examples Effect data: Outcomes or results Cause data: Professional practices that create

Definitions and Examples Effect data: Outcomes or results Cause data: Professional practices that create specific effects or results

DMR Six-Step Process Inquiry: Develop Questions Step 1: Conduct a Treasure Hunt Step 2:

DMR Six-Step Process Inquiry: Develop Questions Step 1: Conduct a Treasure Hunt Step 2: Analyze Data to Prioritize Needs Step 6: Monitor and Evaluate Results Step 3: Establish SMART Goals Step 5: Determine Results Indicators Step 4: Select Specific Strategies

Step 1: Conduct a Treasure Hunt Why? To gather and organize data in order

Step 1: Conduct a Treasure Hunt Why? To gather and organize data in order to gain insights about teaching, learning, and leadership practices. Considerations: Ø Ø Measures of Data Disaggregation Triangulation Reflection

Measures of Data can include: Student Performance Data School Process Data Behavior Data Measure

Measures of Data can include: Student Performance Data School Process Data Behavior Data Measure s of Data Perception Data Well-Being Data Demographic Data

Disaggregation • To separate something into its component parts, or break apart “Disaggregation is

Disaggregation • To separate something into its component parts, or break apart “Disaggregation is not a problem-solving strategy. It is a problem-finding strategy. ” - Victoria Bernhardt, Data Analysis for Comprehensive Schoolwide Improvement 1998

Example of Step 1 (The Treasure Hunt): School: Anytown Middle Assessment Data: Grade 8

Example of Step 1 (The Treasure Hunt): School: Anytown Middle Assessment Data: Grade 8 GA Writing Data, Item Analysis, and School/District Assessment Subskill(s): Writing Process Content Areas and School Year Data Represents Content Conventions → Enter Grade Level or Special Subgroups ALL Caucasian African American Hispanic ELL Non-ELL SPED Non-SPED Content Area: Writing Content/Development School Year ’ 11, ‘ 12, ‘ 13 ↓ 13 12 11 13 12 11 88/118 = 74. 5% 71/111 = 63. 9% 74/107 = 69. 1% 49/54 = 90. 7% 42/51 = 82. 3% 45/52 = 86. 5% 25/37 = 67. 5% 18/35 = 51. 4% 21/33 = 63. 6% 14/27 = 51. 8% 11/25 = 44% 8/22 = 36. 3% 4/12 = 33. 3% 3/11 = 27. 2% 3/8 = 37. 5% 84/106 = 79. 2% 68/100 = 68% 71/99 = 71. 7% 7/25 = 28% 7/23 = 30. 4% 7/22 = 31. 8% 75/93 = 80. 6% 59/88 = 67% 63/85 = 74. 1% Content Organization School Year ’ 11, ‘ 12, ‘ 13 13 12 11 13 12 11 82/118 = 69. 4% 66/111 = 59. 4% 70/107 = 65. 4% 46/54 = 85. 1% 39/51 = 76. 4% 42/52 = 80. 7% 23/37 = 62. 1% 17/35 = 48. 5% 20/33 = 60. 6% 13/27 = 48. 1% 10/25 = 40% 8/22 = 36. 3% 4/12 = 33. 3% 3/11 = 27. 2% 3/8 = 37. 5% 78/106 = 73. 5% 63/100 = 63% 67/99 = 67. 6% 7/25 = 28% 7/23 = 30. 4% 7/22 = 31. 8% 81/93 = 87% 61/88 = 69. 3% 61/80 = 76. 2% School Year ’ 11, ‘ 12, ‘ 13 13 12 11 13 12 11 63/118 = 53. 3% 51/111 = 45. 9% 53/107 = 49. 5% 35/54 = 64. 8% 30/51 = 58. 8% 32/52 = 61. 5% 18/37 = 48. 6% 13/35 = 37. 1% 15/33 = 45. 4% 10/27 = 37% 8/25 = 32% 6/22 = 27. 2% 3/12 = 25% 2/11 = 18. 1% 2/8 = 25% 60/106 = 56. 6% 49/100 = 49% 51/99 = 51. 5% 5/25 = 20% 5/23 = 21. 7% 5/22 = 22. 7% 58/93 = 62. 3% 46/88 = 52. 2% 48/85 = 56. 4%

Triangulation is a process that allows you to view achievement results with different lenses

Triangulation is a process that allows you to view achievement results with different lenses and provides a more comprehensive picture of teaching, learning, and leadership. Triangulation can be applied to the data-driven decision-making process by examining the interaction of antecedent data, collaboration data, and accountability data. Each set lends itself to trend tracking and pattern identification. In broad terms, triangulation is a method of extrapolating meaning from raw data – a way to find the critical information, see the big picture, and identify key components (angles). In education, triangulation describes efforts to determine needs or targets from diverse types of data. (Stephen H. White, Beyond the Numbers, 2011, pgs. 103 -108).

Triangulation Example: GA Grade 8 Writing Assmt. Strong increase in scores ‘ 12 to

Triangulation Example: GA Grade 8 Writing Assmt. Strong increase in scores ‘ 12 to ‘ 13 but significant performance gaps btw. Caucasian, Afr. Am. , & Hispanic All students stronger on conventions – 74. 5% proficient Organization – all students 53. 3% proficient Students’ Writing Portfolios School’s Mock Writing Prompt Show frequent drafts with revisions for mechanics, conventions, etc. 90% of students proficient in writing Show student multiple idea development drafts/feedback 85% of students proficient in selected Organization Show less evidence of proofreading and editing Significant performance gaps when compared to PASS results

Step 2: Analyze Data to Prioritize Needs Why? To identify causes for celebration and

Step 2: Analyze Data to Prioritize Needs Why? To identify causes for celebration and to identify areas of concern Considerations: Ø Ø Strengths Needs Performance behavior Inference

Example of Step 2 (Analyze Data to Prioritize Needs): Performance Behavior: Strength(s): Conventions Content

Example of Step 2 (Analyze Data to Prioritize Needs): Performance Behavior: Strength(s): Conventions Content Development Rationale • We gave multiple opportunities for students to practice revising their own writing in order to improve conventions, mechanics, etc. We held multiple job-embedded PD sessions on this portion of the Writer’s Workshop. • Content/Development – We had PD on developing ideas in student’s planning and drafting samples in portfolios. Obstacle(s): Organization • Organization – Students are able to identify organizing topic and supporting details for their writing but do not transition from that to a well organized paper. PASS results show weak organizational components and students’ writing samples show week transitions.

Step 3: Establish SMART Goals Why? To identify your most critical goals for student

Step 3: Establish SMART Goals Why? To identify your most critical goals for student achievement based on the challenges that were identified throughout the inquiry process. Criteria: Ø Ø Ø Specific (What exactly will we measure? ) Measurable (How will we measure it? ) Achievable (Is this a reasonable goal? ) Relevant (Are goals aligned with the CIP? ) Timely (Does each goal have a defined timeframe? )

Example of Step 3 (Establish SMART Goals): Goal 1 Organization Grade 8 students Percentage

Example of Step 3 (Establish SMART Goals): Goal 1 Organization Grade 8 students Percentage of ____________ scoring proficient or higher in _________ 53% 68% 2013 - 2014 school will increase from ______ to _______ by the end of the ______ GA Grade 8 Writing Assmt. administered in __________. Feb 2014 year as measured by _____________ Goal 2 Percentage of ____________ scoring proficient or higher in _________ will increase from ______ to _______ by the end of the ______ school year as measured by _____________ administered in __________.

Step 4: Select Specific Strategies Why? Adult Actions will impact student achievement Strategies are:

Step 4: Select Specific Strategies Why? Adult Actions will impact student achievement Strategies are: Considerations: ü ü Ø Ø Action-oriented Measurable Specific Research-based Instructional Strategies Organizational Strategies Leadership Strategies Programmatic Strategies

Example of Step 4 (Select Specific Strategies): Prioritized Needs (2 -3 Maximum): Organization Strategies

Example of Step 4 (Select Specific Strategies): Prioritized Needs (2 -3 Maximum): Organization Strategies (4 Maximum) • Instructional – Engage students in editing and revising for every paper created in the Writer’s Workshop including 2 or 3 times a week mini lessons on transitioning from brainstorm to writing • Leadership and Organizational – change the schedule in order to provide a common planning time and schedule Literacy Coach to attend ELA meetings 2 x week • Leadership and Instructional – Increase teacher capacity in this component of the Writer’s Workshop through initial PD followed by coaching and feedback provided by building Literacy Coach and District PLS – min 2 x week

Step 5: Determine Results Indicators Why? To monitor the degree of implementation and evaluate

Step 5: Determine Results Indicators Why? To monitor the degree of implementation and evaluate the effectiveness of the strategies. Considerations: Ø Serve as an interim measurement Ø Used to determine effective implementation of a strategy Ø Used to determine if strategy is having the desired impact Ø Used to help determine midcourse corrections

Example of Step 5 (Determine Results Indicators): Prioritized Needs (2 -3 Maximum): Strategy Leadership

Example of Step 5 (Determine Results Indicators): Prioritized Needs (2 -3 Maximum): Strategy Leadership and Organizational – change the schedule in order to provide a common planning time and schedule Literacy Coach to attend ELA meetings 2 x week Strategies (4 Maximum) • Implementation: Master calendar reflects common planning time; Literacy Coach’s calendar shows preserved time for 2 x week ELA meetings; minutes of meetings show evidence of collaboration on writing • Effectiveness: Classroom observations show evidence of strategies discussed in collaboration actually in use; Portfolio samples show evidence of collaboratively planned strategy use

Step 6: Monitor and Evaluate Results Why? To engage in a continuous improvement cycle

Step 6: Monitor and Evaluate Results Why? To engage in a continuous improvement cycle that: • Identifies midcourse corrections where needed • Adjusts strategies to ensure fidelity of implementation

Example of Step 6 (Monitor and Evaluate Results): Monitoring Plan Template Cluster or School

Example of Step 6 (Monitor and Evaluate Results): Monitoring Plan Template Cluster or School Team Date Goal Targeted Strategies Has This Strategy Been Implemented? Not Implemented Partially Implemented Fully Has This Activity Had Impact? Yes No Dates of Next Monitoring Cycle Reasons Expected Impact Did or Did Not Occur: Reasons Implementation Was Incomplete or Did Not Occur? Evidence of Actual Impact on Instructional Practice and/or Student Learning: Suggested Adjustments or Recommendations: Reflections: Other Relevant Information:

Additional Support: Data Teams Refresher Courses will be offered during the 2013 -14 SY.

Additional Support: Data Teams Refresher Courses will be offered during the 2013 -14 SY. Check My. PLC for updates and to register. Always Feel free to Contact your Regional Data Analysts in the department of Research & Evaluation for School Improvement: • • • East Region – Stacey L. Johnson (johnsonsl@atlanta. k 12. ga. us) West Region – Curtis L. Grier (clgrier@atlanta. k 12. ga. us) South Region – Adrienne T. Johnson (adtjohnson@atlanta. k 12. ga. us) North Region – Holly Hayes-Morrisey (hmorrisey@atlanta. k 12. ga. us) CLL – Adam Churney (achurney@atlanta. k 12. ga. us)