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Centers of Excellence: SSOS Data Driven Decision Making Central Lakes Region March 27, 2014.

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Presentation on theme: "Centers of Excellence: SSOS Data Driven Decision Making Central Lakes Region March 27, 2014."— Presentation transcript:

1 Centers of Excellence: SSOS Data Driven Decision Making Central Lakes Region March 27, 2014

2 Centers of Excellence: SSOS Creating Lollipop Moments

3 Centers of Excellence: SSOS Today’s Objective: Leadership Implementation Teams are able to use Data Driven Decision-Making

4 Centers of Excellence: SSOS Predicting Outcomes To what degree of certainty can you predict your 2013-14 MCA results? How do you know? What is your evidence? Prepare to introduce your team and share how your team is feeling about these questions.

5 Centers of Excellence: SSOS Taking A Data Inventory Data Inventory/Data Mining Root Cause Analysis Link to Student Data

6 Centers of Excellence: SSOS 5 Categories of Data 1.Student Academic Data – MCAs, AIMSweb, NWEA MAP, Common Assessments, all Formative and Summative Assessments, etc 2.Student Non-Academic Data – Attendance, Behavior, Discipline, etc 3.Fidelity of Implementation Data – Practice Profile, Data Walks, etc 4.Program Data – Alignment of Instruction & Assessment to Stds, PLC Minutes, etc 5.Perception Data - Family Engagement Data, Surveys, etc

7 Centers of Excellence: SSOS

8 Facilitating a Data Mining Activity Look at trends Let the data tell a story Have an open mind Stay objective

9 Centers of Excellence: SSOS

10 Break—10 minutes

11 Centers of Excellence: SSOS Compare the Work of LIT to the Video Discuss how you’ve noticed capacity growing within your system.

12 Centers of Excellence: SSOS Root Cause Analysis Data Inventory/Data Mining Root Cause Analysis Link to Student Data

13 Centers of Excellence: SSOS

14 Root Cause Reflection What data will you use to make an accurate hypothesis? What data might you use to confirm root cause? Refer to Pink Sheet and Resources Use Keep, Stop, Start, to Record Your Planning Identify a recursive, prioritized problem Hypothesize root cause Identify and implement a possible solution (EBS) Gather evidence to confirm root cause

15 Centers of Excellence: SSOS

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17 Link Implementation and Student Achievement Data Data Inventory/Data Mining Root Cause Analysis Link to Student Data

18 Coaching Training Selection Systems Intervention Facilitative Administration Decision Support Data System Competency Drivers Organization Drivers Leadership Performance Assessment (Fidelity) Improved Educational Outcomes Consistent Use of Educational Practices © Fixsen & Blase, 2008 Walk-through data from a practice profile measures fidelity; implementation data Common Assessments or MCAs measure educational outcomes; student achievement data Adaptive Technical

19 Centers of Excellence: SSOS When to Emphasize What Data AugOctNovDecJanFebMarchAprilMayJuneJuly In-depth Analysis Sept Implementation of Evidence-Based Instructional Strategy Evaluate Impact Goal Setting Student Achievement Data Student Achievement Data Program & Perception Student Achievement Data Program & Perception Data Fidelity of Implementation Data (+Program & Perception Data) Student Achievement Data Student Achievement Data When to Emphasize What Data?

20 Centers of Excellence: SSOS Measurement Depends on Stage of Implementation Will and Skill FidelityStudent Achievement

21 Centers of Excellence: SSOS Evidence-Based Strategy ????????? Practice Profile Pre/Post Benchmark Assessment Walk-through Data

22 Centers of Excellence: SSOS Study->Act Fidelity Data Collected Multiple Times in Cycle o Clear “success criteria” for low to high implementation o Inter-rater reliability (IRR) for data collection o On-going PD and coaching to increase fidelity Common Pre/Post Benchmark Assessments for Each Unit During Cycle High Levels of Implementation causes Higher Student Achievement

23 Centers of Excellence: SSOS

24 Lunch—30 minutes

25 Centers of Excellence: SSOS Formative and Summative Assessment Data Inventory/Data Mining Root Cause Analysis Link to Student Data

26 Centers of Excellence: SSOS Formative Assessment Framework for teachers and students...

27 Centers of Excellence: SSOS

28 Formative to Summative “When the cook tastes the soup, it is formative; when the guests taste the soup, it is summative”

29 Centers of Excellence: SSOS

30 Data Tools Breakout sessions

31 Centers of Excellence: SSOS Your Passport to the World Data Cafe! 1. Error Analysis 2. Examining Student work 3. Pre-Post Common Assessments 4. Implementation Drivers 5. Implementation Data 6. State Accountability

32 Centers of Excellence: SSOS Team Reflection and Application Keep, Stop, Start

33 Centers of Excellence: SSOS THANK YOU FOR ATTENDING Please fill out an evaluation form. Teacher CEUs in folder. Future Networking Sessions: May 8, 12:30 to 3:00 @ Resource Training and Solutions ELA Implementation Toolkit May 15 (cancled)


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