Advancing Assessment Literacy Data Informed Decision Making III: Creating Action Plans.

Slides:



Advertisements
Similar presentations
The Principals Role in Systemic Change for Reading Commitment.
Advertisements

Continuing and Expanding Action Research Learning Cedar Rapids Community Schools February, 2005 Dr. Susan Leddick.
Using Assessment to Inform Instruction: Small Group Time
Using Data to Improve Schools One child at a time……….. The Educator’s Role Pamela M. Kastner National Board Certified Teacher.
Getting Organized for the Transition to the Common Core What You Need to Know.
 Leadership For Student Learning Sharon Friesen, Candace Saar, Jim Brandon.
1 Core Module Three – The Summative Report Core Module Three: The Role of Professional Dialogue and Collaboration in the Summative Report.
Division of School Effectiveness1 Common Core State Standards: Transitioning from Awareness to Implementation December 1, 2011 Rutledge Conference Center.
Tracy Unified School District Leadership Institute – “Leading the Transformation” Breakout Session Authentic Data Driven Decision Making July/August 2014.
Center for Performance Assessment © 2005 Data-Driven Decision Making Presented by the Center for Performance Assessment (800)
SMART Goals.
Whose Job Is It? Part Two © Iowa Association of School Boards At the Board Table Discussion Tool.
Advancing Assessment Literacy Data Informed Decision Making IV: Monitoring and Assessing Progress.
SMART Goals and Educator Plan Development
Best Practices. Overview of Best Practices Literacy Best Practice Documents: Were developed by curriculum staff and area specialists, with coaches’ and.
PLT Professional Learning Teams Weaver Elementary School January, 2013.
Action Research: For Both Teacher and Student
BECOMING ACTIVE PARTNERS IN THE PARTNERSHIP & MANAGEMENT OF EDUCATIONAL SUCCESS AGREEMENTS GENEVIÈVE LÉGARÉ EVIDENCE-BASED PRACTICE MELS-SSCAAAPN JUNE.
Common Core Literacy Alignment: Adopt, Adapt, or Do Both?
1 Let’s Meet! October 13,  All four people have to run.  The baton has to be held and passed by all participants.  You can have world class speed.
Problem Based Learning (PBL) David W. Dillard Arcadia Valley CTC.
Data Teams New logo- lead and learn-leadership and learning center.
Advancing Assessment Literacy Data Gathering I: Establishing Outcomes.
5-Step Process Clarification The 5-Step Process is for a unit, topic, or “chunk” of information. One form should be used for the unit, topic, etc. The.
Improving Teaching and Learning: One District’s Journey Curriculum and Instruction Leadership Symposium February 18-20, 2009  Pacific Grove, CA Chula.
Designing and Planning Technology Enhanced Instruction
PLMLC Leadership Series London Region Day 1 Ellen Walters, YCDSB Shelley Yearley, TLDSB Monday February 28, 2011.
Using the Nine Characteristics to Test Assumptions in School Improvement G. Sue Shannon OSPI Senior Researcher WERA/OSPI Assessment Conference December.
Advancing Assessment Literacy Data Gathering III: Identifying & Valuing Different Types of Data.
Using Assessments and Data to Improve Student Learning Day 2 1.
A Network Approach To Improving Teaching and Learning Center Point High School Instructional Rounds in Education.
Data for Student Success Using Classroom Data to Monitor Student Progress “It is about focusing on building a culture of quality data through professional.
GRADE LEVEL MEETINGS OCTOBER 13, 2011 GRADE 8. WHY ARE WE LOOKING AT ELA DATA?
February 10, 2012 Session 3: Effective Leadership in the Common Core February 10, 2012 Session 3: Effective Leadership for the Common Core NYSED Principal.
Office of School Improvement Differentiated Webinar Series A Framework for Formative Assessment November 15, 2011 Dr. Dorothea Shannon Dr. Greg Wheeler.
Ensuring that Professional Development Leads to Improved Mathematics Teaching & Learning Kristen Malzahn Horizon Research, Inc. TDG Leadership Seminar.
Copyright © 2008, Intel Corporation. All rights reserved. Intel, the Intel logo, Intel Education Initiative, and Intel Teach Program are trademarks of.
1. Housekeeping Items June 8 th and 9 th put on calendar for 2 nd round of Iowa Core ***Shenandoah participants*** Module 6 training on March 24 th will.
Classroom Assessment for Student Learning March 2009 Assessment Critiquing.
Advancing Assessment Literacy Setting the Stage II: Understanding Data Purposes & Uses.
What are Instructional Data Teams?  a small grade-level, department, course-alike, or organizational team (joined together through the use of a common.
OVERVIEW PRESENTATION
Data Interpretation I Workshop 2008 Writing Assessment for Learning.
Suggested Components of a Schoolwide Reading Plan Part 1: Introduction Provides an overview of key components of reading plan. Part 2: Component details.
1 Support Provider Workshop # East Bay BTSA Induction Consortium.
Mentoring School Name Date Mentor’s Name. OVERVIEW What is Mentoring? The Mentoring Menu The Coaching Process.
School Accreditation School Improvement Planning.
PLMLC Leadership Series Thunder Bay Region Day 1 Brian Harrison, YRDSB Connie Quadrini, YCDSB Thursday February 3 rd, 2011.
Elementary School Administration and Management GADS 671 Section 55 and 56.
Connecticut Accountability for Learning Initiative District and School Capacity Building Leadership No Child Left Behind Partnerships & Professional Learning.
Zimmerly Response NMIA Audit. Faculty Response Teacher input on Master Schedule. Instructional Coaches Collaborative work. Design and implement common.
Santa Cruz County Office of Education Teaching Algebraic Thinking Professional Development Focus on Lesson Study October 11, 2010.
Data to collect and questions to ask to understand the meaning of the data.
PLCs in Mount Airy City Schools Purpose of PLCs Collaborative meetings of educators in which data-driven decisions are made to improve teacher’s instruction.
What is Learning-Focused?
Module 8.0: Selection Process for Effective Innovations DIT Installation Series Trainer Name Date.
DECISION-MAKING FOR RESULTS HSES- Data Team Training.
Instructional Leadership Supporting Common Assessments.
This training references results from the 2017 TELL Kentucky Survey available online at The intent is to begin discussion among staff.
An Introduction to NETS*T
Measuring Project Performance: Tips and Tools to Showcase Your Results
Office of Education Improvement and Innovation
Office of Education Improvement and Innovation
2018 OSEP Project Directors’ Conference
Trainer of Trainers (ToT) Workshop 2
Topic Principles and Theories in Curriculum Development
Grantee Guide to Project Performance Measurement
SUPPORTING THE Progress Report in MATH
 Please sign in  Please choose a letter  Please download the QR reader on your electronic device.
Examining Student Work
Presentation transcript:

Advancing Assessment Literacy Data Informed Decision Making III: Creating Action Plans

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 2 Data-Driven Decision Making Improvement Cycle 1. Find the data – “Treasure Hunt” 5. Identify Specific Strategies to Achieve Goals 4. Goal Setting and Revision 3. Needs Analysis 2. Data Analysis and Strength Finder 7. Action Plan, Schedule, REVIEW 6. Determine Results Indicators (White, 2005)

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 3 Action Planning This module is going to examine the processes in steps 5, 6 and 7 of White’s Data- Driven Decision Making Improvement Cycle. 5. Identify Specific Strategies to Achieve Goals 7. Action Plan, Schedule, REVIEW 6. Determine Results Indicators White, S. H. (2005). Beyond the numbers: Making data work for teachers & school leaders. Englewood, CO: Advanced Learning Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 4 Four Tasks of Action Planning 1.Decide on an instructional strategy or strategies. 2.Agree on what your plan will look like in classrooms. 3.Put the plan down on paper. 4.Plan how you will know if the plan is working. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 5 Decide on an Instructional Strategy or Strategies Decide on an instructional strategy or strategies that will solve the problem of practice you identified through your analysis of student and teacher data. The instructional strategy your team commits to is the heart of the action plan. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 6 Agree on What Your Plan Will Look Like in Classrooms Your team can reach a shared understanding of the strategy by carefully describing what team members would expect to see teachers and students doing if the plan were implemented well. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 7 Put the Plan Down on Paper By documenting team members’ roles and responsibilities and specifying the concrete steps that need to occur, you build internal accountability for making the plan work. Identifying the professional development time and instruction your team will need and including it in your action plan lets teachers know they will be supported through the process of instructional improvement. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 8 Plan How You Will Know if the Plan is Working Before implementing your plan, it is important to determine what type of student outcome data you will need to collect in order to understand whether students are indeed learning more. This will be a separate workshop following this one. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 9 Decide on Instructional Strategies Using the goals set in the previous module, brainstorm potential instructional and learning strategies to achieve the goal. Place the goal in the center of the supplied template for your brainstorming. If you are unfamiliar with strategies, go to and type in the name of the subject (math) or broad category (cooperative learning) you are looking for. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 10 Research Instructional Strategies Once you have completed brainstorming strategies, conduct some research on the effectiveness of those strategies. Use the supplied template to make notes on each. The following website is a good place to quickly do some research:

11 Impact/Feasibility Once you have completed your brainstorming, conduct an impact/feasibility analysis of your ideas. Impact refers to the degree to which a strategy will make a difference in the learning of students. A high impact strategy will make the greatest difference in learning for the broadest population of students. Feasibility refers to the practical supports that are in place such as time, funding, scheduling, etc. StrategyImpactFeasibility Activate prior knowledge before reading new texts. High Adopt new curriculum materials MediumLow Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press. When done, choose the strategy that will have the greatest impact and is most feasible to implement.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 12 Agree on What Your Plan Will Look Like in Classrooms Once you have decided on teaching/ learning strategies to use, implementation indicators need to be identified. On the following table, indicate what it will look like and sound like for teachers, students, classrooms, and student work if the strategy is being successfully implemented. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

IMPLEMENTATION INDICATORS Before Reading: Activating Prior Knowledge What we will see and hear in classrooms Teachers  Teachers will provide structured prompts to elicit prior knowledge.  Teachers will bridge the prior knowledge of students to the material being read. Students  Students will be telling stories.  Students will write in their journals.  Students will be graphically representing connections. Classrooms  Noise, as students share stories.  Graphic representations posted on the wall. Student Work  Higher level of connection to text being read.  Higher level of insight in responses to text. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 14 Writing Out The Plan Using the supplied template, begin to draft the details of the plan as you work to achieving your goal. The supplied template is only a suggestion – you may create your own or use another of your own design. Boudette, K., City, E. A., & Murnane, R. J. (2005). Data wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 15 Implications/Reflections Thinking about what you’ve planned so far, in what ways might this affect the daily work life of staff? Of students? Find a partner and discuss your thoughts.

Advancing Assessment Literacy Modules: Data Informed Decision Making III (February 2008) 16 Next Steps Assessing progress within the plan is the focus of the next module in this series and should be completed as soon as possible after the completion of this module.