In November 2015, the AdvancED External Review Team shared one Improvement Priority finding with the TCS Board: Implement a systematic and systemic set of processes and procedures K-12 that ensure all staff continuously collect and analyze data to evaluate student needs and drive instruction.
In accordance with the findings of AdvancED, TCS will collaborate to implement a systemic set of processes and procedures regarding data collection K-12.
The first steps will be to create a data team and to build capacity regarding data collection and analysis. The District Data Team will include central office personnel, principals, counselors and academic coaches. The Data Team members will participate in monthly face to face meetings, read professional journal articles regarding data, and reflect upon readings via face to face/Google classroom. We will learn efficient and effective methods for disaggregating relevant data. Our purpose for this systematic and systemic set of processes and procedures will be for the purpose of evaluating student needs that will help drive instruction.
The following leaders were asked to serve on this important team:
Beth Bruno
Jennifer Cardwell
April Chamberlain
Mandi Logan
Phyllis Faust
Rachel Cox
Christy Naylor
Edra Perry
Donna Brumlow
Lauren Blake
Lisa Lothspeich
Kelly McGough
Krista Dement
Amy McIntyre
Amy Cain
Heather Winship
Laura Stalls
Leta McGehee
Betsy Schmitt
Autumm Jeter
Tygar Evans
Lisa Berry
Tim Salem
Data Team Purpose:
Create a data plan based on the AdvancED November 2015 directive
Lead the district in collecting and analyzing data and adjusting instruction based on data
Build capacity in collecting and analyzing data and adjusting instruction based on data
Use a variety of data
The first meeting was Monday, November 30, at 8:30.
The team began their work together to gain an understanding of:
1. What data are we collecting?
2. Who do we share that data with?
3. Why do we collect those data?
4. What are we doing with the data we collect?
5. Is there other data we should collect?
6. Do we understand what the data is telling us?
7. What experiences can we design in order to share data with teachers?
8. What data can/should teachers be collecting in their classrooms?
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