District Data Teams: The Next Step to Professional Learning Communities
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District Data Teams: The Next Step to Professional Learning Communities
June 28, 10:15 – 11:30am, Room: Delaware B
Is your school district already getting results with a professional learning community or data team framework? Are you ready to move to the next level of school improvement? A District Data Team model can get you there. No matter how large or small, it is essential that every school district has a structure in place to monitor the data and implementation of instructional initiatives. Learn how to develop a model that gets to the heart of the school improvement process through a customized structure that engages the key stakeholders of your educational community in strategic discussions about student data and academic achievement.
Main Presenter: Linda Romano, Hilliard City Schools
Co-Presenter(s): Steve Estepp, Hilliard City Schools

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District Data Teams: The Next Step to Professional Learning Communities Presentation Transcript

  • 1. Reaching the Next Level of Accountability: Implementing District Data Teams Presenters: Linda Romano, Director of Professional Development Steve Estepp, Executive Director of K-12 Curriculum & Instruction
  • 2. Instructional Data Teams Data Team School Data TeamsNetwork District Data Teams
  • 3. Why the Data Team Network? It provides a structured process for sharing and managing the work.It ensures articulation and alignment at every level of the school district. It serves as the vehicle for monitoring student results, teaching strategies, and providing leadership support.
  • 4. Data teams are small, grade-level, department,What are Data course-alike, or organizational Teams? teams that examine student work generated from a common assessment. Data team meetings are collaborative, structured, scheduled meetings that focus on the effectiveness of teaching and learning.
  • 5. What do Data Teams do?
  • 6. Collect & Chart Data#1 Analyze Data to Prioritize Needs #2 Establish SMART Goals #3 Select Specific Strategies #4 Determine Results Indicators #5 Monitor and Evaluate #6 Results
  • 7. Collect & Chart Data #1 Analyze Data to - Examine student data to identify trends, Prioritize Needs strengths, and/or areas of concern#2 - Chart the performance of students from one year to the next over time Establish SMART Goals - Chart the percentage of students who demonstrate #3 understanding of the concepts Select Specific Strategies -Identify gaps among subgroups #4 Determine Results Indicators #5 Monitor and Evaluate #6 Results
  • 8. Collect & Chart Data Analyze Data to Prioritize Needs#1 #2 - Identify areas to celebrate and the adult actions that contributed to the performance - Identify areas that have greatest potential for growth Establish SMART Goals -Use the data to focus on curriculum, instruction, or #3 assessment realities that may be contributing to Select Specific Strategies data results -Determine #4 which school practices have Determine Results Indicators an influence on data #5 results Monitor and Evaluate #6 Results
  • 9. Collect & Chart Data Establish SMART Goals#1 #3 Analyze Data to - Specific student group and/or specific content Prioritize Needs skills and application #2 - Measurement tool - Current reality and desired outcomes - Review and revision of these goals as needed Select Specific Strategies #4 Determine Results Indicators #5 Monitor and Evaluate #6 Results
  • 10. Collect & Chart Data Select Specific Strategies#1 #4 Analyze Data to - Brainstorm strategies that could be Prioritize Needs implemented to achieve goal #2 - Strategies may include classroom assessments, prioritizing curriculum Establish SMART Goals resources, staff development, and program changes #3 - Identify previous or current strategies that have been most successful -Identify practices and activities that should be Determine Results Indicators discontinued #5 Monitor and Evaluate #6 Results
  • 11. Collect & Chart Data Determine Results Indicators#1 #5 Analyze Data to - Implement the strategies identified in step #4 Prioritize Needs #2 - Specify the effective learning that will take place Establish SMART Goals - Determine whether the strategies being implemented #3 are having the desired effect Select Specific Strategies - Decide if students are meeting the goals #4 established in step #3 Monitor and Evaluate #6 Results
  • 12. Collect & Chart Data Monitor and Evaluate#1 #6 Results Analyze Data to - Determine how you will monitor implementation Prioritize Needs of the strategies #2 - Create your monitoring plan -Consider one of the following in Establish SMART Goals your plan: (1) impact on student behavior; (2) impact on adult #3 behavior; (3) ability to make midcourse corrections; (4) Select Specific Strategies monitoring cycles #4 - Evaluate the results Determine Results Indicators #5
  • 13. Instructional Data Teams Data Team • Look at all students in grade level or commonNetwork course • Set the directional course for grade level or common course • Led by teachers; members are teachers
  • 14. School Data Teams Data Team • Look at entire school – allNetwork students in that school • Set the directional course for the school • Led by principals; members are from school SIP team
  • 15. District Data Teams Data Team • Look at entire system – all students and all schoolsNetwork • Set the directional course for the entire district • Led by district directors; members are principals and other CO administrators
  • 16. Sample Activities District Data Teams • Monitor and adjust the implementation of the district’s continuous improvement plan • Monitor, analyze, and share each building’s progress towards reaching district goals • Share and disseminate best practices throughout the district
  • 17. Sample Activities School Data Teams • Develop a school improvement plan that focuses on student achievement and is aligned to the district plan • Collects and analyzes student data to monitor the school’s plan • Sets expectations for and monitors work of instructional data teams
  • 18. Sample Activities Instructional Data Teams • Share instructional practices, successes, and challenges • Identify and discuss adult actions that contribute to improved student achievement • Construct learning activities connected to standards, goals, and student data
  • 19. Three-Year Plan • All principals and school teams were YEAR #1 trained in the data team process Beginning to Believe • Instructional and School Data teams were established in every school • Conversations centered around assessment data • Data team members began to use assessment data to collaboratively plan instruction • Data team members identified and practiced the use of high-yield instructional strategies •Data teams explored the six-step model
  • 20. Three-Year Plan • Data teams followed the six-step model YEAR #2 Refining Our • Data teams set up a system of accountability to model and monitor the Implementation and six-step process Expanding Our Vision • Data team members collaborated and developed strategies and interventions for struggling learners • Data teams gathered evidence of what is working and what is not working and responded as needed • Principals monitored the effectiveness of data team work and provided feedback on results •Data teams began to consider 21st century instructional design
  • 21. Three-Year Plan • Data teams raised expectations, narrowed the focus, and refined instructional strategies to meet the needs YEAR #3 of all learners Embracing the Journey • Data teams implemented the RTI framework • Data team members supported students in monitoring their own progress • Data teams began to develop scoring rubrics to support collaborative grading • Data team members engaged in differentiated coaching and modeling to enhance their professional growth •Data teams sustained the effort and embedded the six-step model in the culture
  • 22. Three-Year Plan YEAR #3 Embracing the Journey • Data team members sought opportunities to share what they had learned, learn from other teams, and celebrate successes • Data teams focused on 21st century instructional design • District administrators participated in monthly district data team meetings to monitor progress and share evidence of continuous improvement plan implementation
  • 23. The District Data Team Model
  • 24. Sample District Data Team Model: The monthly administrative team meeting and monthly principals’ curriculum meetings willbe consolidated into one monthly meeting. This meeting will be held on the second Thursday of each month beginning at 8 a.m. andconcluding at 11 a.m. The structure of each meeting will be as follows: 1st Hour: Operational meeting 2nd Hour: District data teams 3rd Hour: Elem./Sec. curriculum meeting All administrators will participate in the 1st and 2nd hour; only building administrators willbe required to participate in the 3rd hour. There will be an expectation that administrators actively participate and come to meetingswith requested data/information/artifacts. Assistant principals will be required to attend the monthly meetings. One assistant principalat the high school level will remain at the building on a rotating basis.
  • 25. Sample District Data Team Structure: Cabinet / District Directors District Data Teams Pre-K-5 Teams (divided into 3 groups) Middle School Team High School Team Other administrators will select a team in which to participate based on monthly agenda topic(s). Data Team Leaders & Principals Building Data Teams
  • 26. Sample District Data Team Structure: Cabinet / District Directors Key Tasks Develop the detailed monthly agenda for the district data teams’ District Data Teams work sessions to include information/data principals need to Pre-K-5 Teams (divided into 3 groups) bring and activities to be completed. Middle School Team High School Team Lead district data team work sessions (each director will be Other administrators will select a team in which to assigned a data team to lead). participate based on monthly agenda topic(s). Collect and share data/information from district data team work sessions Data Team Leaders & Principals at Cabinet/CO Director meetings. Plan next steps (i.e. additional support, professional development) at the district level to ensure consistent Building Data Teams implementation of district initiatives in all buildings/departments.
  • 27. Sample District Data Team Structure: Key Tasks Cabinet / District Directors Collect and analyze data/information/artifacts/supporting evidence related to the implementation of district initiatives. District Data Teams Example Topics: Pre-K-5 Teams (divided into 3 groups) Math Instruction Middle School Team PBL High School Team Grading Practices Other administrators will select a team in which to Middle School participate based on monthly agenda topic(s). Alignment Social Studies Needs Assessment Data Team Leaders & Principals Student Housing Student Fees Literacy intervention Identify needs, concerns, issues Building Data Teams related to implementation at the building level. Collaborate and plan next steps to ensure the most effective implementation of key initiatives. Determine additional data/information to collect for continued discussions.
  • 28. Sample District Data Team Structure: Cabinet / District Directors Key Tasks District Data Teams Ensure implementation of Action Steps in the Continuous Pre-K-5 Teams (divided into 3 groups) Improvement Plan at the classroom Middle School Team level. High School Team Example Action Steps: Other administrators will select a team in which to CFAs / Assessment participate based on monthly agenda topic(s). Results 21st Century Skills Data Team Leaders & Principals RTI Framework Instructional Design Differentiation Identify building needs, concerns, Building Data Teams issues related to the implementation of CIP Action Steps. Collect building/classroom level data related to Action Step implementation. Discuss and plan instructional practices and intervention strategies using the collected data.
  • 29. What Tools do you Need to Implement the Data Team Network? TRAINING PROTOCOLS FRAMEWORK
  • 30. What Tools do you Need to Implement the Data Team Network? TRAINING • Develop an understanding of the data team model • Learn the six-step data team process and what it looks like in action • Build a conceptual understanding of how data teams operate and function in a classroom, school, and district • Identify the roles and responsibilities of data team leaders and members • Research high-yield instructional strategies most effective in enhancing student achievement • Learn about and create effective formative and summative assessments
  • 31. What Tools do you Need to Implement the Data Team Network? PROTOCOLS • Define high quality instruction in the school and district • Develop a process for classroom walkthroughs and instructional rounds • Establish expectations for data teams • Establish meeting formats & team structures • Develop a communication procedure to share work with other data teams, building leadership, and district leadership
  • 32. What Tools do you Need to Implement the Data Team Network? FRAMEWORK • Develop templates and forms for data team leaders and members • Data Team Action Plans • Agenda worksheets • Meeting Notes & Minutes • Data Team Member Self Assessment
  • 33. Reaching the Next Level of Accountability: Implementing District Data Teams Presenters: Linda Romano, Director of Professional Development Steve Estepp, Executive Director of K-12 Curriculum & Instruction Contact: linda_romano@hboe.org steve_estepp@hboe.org