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Creating Student Success through the Data Team Process Mason City Community School District Kathryn Schladweiler TJ.

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Presentation on theme: "Creating Student Success through the Data Team Process Mason City Community School District Kathryn Schladweiler TJ."— Presentation transcript:

1 Creating Student Success through the Data Team Process Mason City Community School District Kathryn Schladweiler kschladweiler@mason-city.k12.ia.us TJ Jumper tjumper@mason-city.k12.ia.us Mike Penca mpenca@mason-city.k12.ia.us Barb Wells bwells@mason-city.k12.ia.us Pam Christopherson pchristopherson@mason-city.k12.ia.us

2 Why pursue the Data Team Process? The need to integrate a number of previous professional development efforts The need to make meaningful use of the DINA designation and set aside dollars An on-going belief among district administrators that the most valuable data was classroom data

3 What is the Data Team Process? A structured process Helps teachers monitor and adjust their classroom instruction Based on real-time data out of their classrooms.

4 Step 1: Collect and Chart the Data Data teams gather and display data from a formative assessment. They disaggregate the data to identify the performance levels of students in order to plan for accelerating the learning for all.

5 Student Performance Levels Proficient or Higher Some Risk At Risk

6 Step 2: Analyze to Prioritize Identify students’ strengths and needs as evidenced in the student work. Form Inferences: Why are students performing the way they are? Determine and prioritize what can be done to significantly increase student learning

7 Step 3: Set a SMART Goal Specific Measurable Achievable Relevant Timely

8 SMART Goal Examples Suggested Format: The number of (student group) scoring proficient or higher in (content area) will increase from (# of students) to (# of students) by the end of the (time period) as measured by (assessment tool) administered in (month/year) Example: The number of grade 3 students scoring proficient or higher in reading comprehension will increase from 45 students to 60 students by the end of the 2011-12 school year as measured by the DRA 2 administered in April 2012.

9 Step 4: Select Strategies Which strategies will have the greatest impact on student learning based on the needs identified in step 2? What strategies are individual teachers implementing with a high degree of success, and should these practices be replicated? Teams will discuss how instruction will be differentiated for students in proficient or higher level, some risk level, and at risk level. Select at least one researched-based instructional strategy to be immediately implemented in order to enhance student learning.

10 Data Team: Monitoring Meetings Monitoring meetings are held during the time the instructional strategies are being implemented and between the initial and final common formative assessments. Purpose- To discuss the effectiveness of the strategies being used by team members. Use daily formative assessment data to answer- “Are the strategies we selected having the desired impact on student learning? How do we know? What do we do next?”

11 Data Team: Monitoring Meetings Model strategies for each other to determine the fidelity of implementation. Team members may also bring student work samples to examine for evidence about the effectiveness of instructional strategies. Reorganize students for instruction based on their learning needs, as inferred from student work examined in the meeting or formative assessment data. Add another effective, research-based instructional strategy to those already being used or delete one you have found to be ineffective.

12 Step 5: Determine Results Indicators Data teams monitor their use of strategies. Create descriptors of successful strategy implementation Determine the impact and effectiveness of teacher efforts. Make adjustments How do you know improvements are being made?

13 Step 6: Monitor and Evaluate Results Data Teams monitor and reflect on their progress. When goals are met, teams shift their focus

14 Data Team Roles Data Team Facilitator Good Listeners Lead discussion Make sure everyone gets a turn to share Recorder Take notes and fill out meeting form Turn in meeting form

15 Data Team Roles Data Technician Collects data from all team members Uses Excel to create graphs Presents data to team Time Keeper Sets timer for each agenda item Keeps meeting going Focus Monitor Gently Reminds others to stay on task Possible signals…

16 Norms Ground rules or habits that govern a group Not intended to serve as rules but as collective commitments Norms should be stated as ways to act or behave 1. Pausing 2. Paraphrasing 3. Probing for specificity 4. Putting ideas on the table 5. Paying attention to self and others 6. Presuming positive intentions 7. Pursuing a balance between advocacy and inquiry

17 Reviewing Norms Teams should review their norms regularly Teams should adjust norms as needed Teams should agree on what should be done if norms aren’t being followed

18 Making our results visible

19 What are the leadership requirements for implementation? Challenges Expectations Successes

20 How is this process sustained? Professional Development for Leaders Data Team Coaches Embed in Continuous School Improvement Process Communicate a multi-year plan Empower students and parents


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