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Data Teams

Using Data to Improve Teaching and Learning

Jaime Penn

on 13 September 2013

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Transcript of Data Teams

The Data Team Process…
Using Data to Improve
Teaching and Learning

that doesn’t intimidate or confuse the bajesus out of you.
“to scare someone to the point of peeing themselves”
(Courtesy of Urban Dictionary)
“The Data Team Process PowerPoint”
Prepared by Jana Scott
The Data Team Process

The Data Team Process is designed to bring about greater learning for students, teachers and administrators.
Data Teams are a model for continuous, collaborative action that inspires and empowers professionals to improve teaching, learning, and leadership for all.

Data teams use common priority standards, generate common formative assessments, and use common scoring guides to monitor and analyze student performance.

Data teams examine work generated from a common formative assessment in order to drive instruction and improve professional practice.
Data Teams 3rd Edition
The Leadership and Learning Center
The Six Steps of the Data Team Process
Step 1: Collect and Chart the Data
Teams look at curriculum objectives and determine the priority standard that the team will focus on first, "unwrapping" the standard if necessary. Teams can also analyze state testing data to find an area of focus.

Teams will create a common formative assessment (pre-assessment) to give their students and give by a pre-determined date.

After giving the CFA, teachers will enter the data into an Excel document.

Data is imported into the Data Workbook PRIOR to the meeting. Teachers will email the data tech their data before the meeting. The data tech will import each teacher's data so they can discuss it at their meeting.

Teachers bring student work (CFA's) with them to this meeting.

Step 2: Analyze Strengths and Obstacles
The team examines student work to determine strengths, obstacles and anything that stands out.

It is important for the team members to look for trends, patterns and underlying misconceptions.

Inferences are made to determine reasons for successes and obstacles.

At the meeting, the team recorder, for this cycle completes a chart for Step 2.
Step 2: Analyze Strengths and Obstacles
Step 3: SMART Goal: Set/Review/Revise
Based on the obstacles and misconceptions, the team members create a short-term SMART goal.

The goal needs to be attainable yet challenging and address the needs of diverse learners.

A template is used and a formula is used to determine an attainable goal.
Step 3: SMART Goal: Set/Review/Revise
Step 4:
Select Research-based
Instructional Strategies
It is important to use researched-based strategies/interventions.
Instructional strategies need to be selected for each of the groups of students.
Step 5: Determine Results Indicators
Step 4: Select Research-based Instructional Strategies
This is a very important step that is often overlooked.

It will show if the strategy is having the desired effect on student learning.

The team develops results indicators to clearly describe student and adult behaviors if success is achieved in relation to the instructional strategy or intervention.

“Look-Fors” in student work are also established.

Results indicators are established for each group of students.
Step 5: Determine Results Indicators
Step 6: Monitor and Evaluate Results
Monitoring is continuous not just at the end of the process.

Monitoring can allow for adjustments along the way.

It is important to monitor not only student successes
and challenges but also adult actions and fidelity of
The Six Steps … One More Time
Data Team Process...Parting Thoughts
(Always happening)
Jobs for Data Team Members
Team Leader/Facilitator

Data Tech



Focus Monitor

Engaged Participant
Guides the team through the Data Teams process steps
Takes minutes of the meeting using templates & distributes to team members and administrators
Makes sure team follows pre-determined time frames (NORM)
Keeps dialogue focused on step in the process (NORM)
Contributes to dialogue, commits to decisions of team, respectfully poses questions, and Uses active listening
Charting and Analzing Data
Data Workbook
Strategies chosen need to address the obstacles and bring about mastery of the SMART goal.
The team uses the results from Step 2 to determine instructional strategies/interventions for Step 4.
Things to Remember:
We ARE a PLC. We DO Data Teaming.

Each team will receive a Data Binder that will be brought to each PLC Meeting. (Data Team Committee meeting next Thursday at 8:15 a.m.)

Team members will decide as a team how jobs will be rotated. (I would suggest rotating at the beginning of each Learning Cycle.)

Each team will meet 1 x a week (at least 2 weeks designated to Data Teaming). Can be more than 2!!!

Team leaders will need to e-mail agendas to Debbie, Jaime Lee, and other team members prior to the meeting and all members should come prepared.

Our Next Steps
Today you will...

1. Look at Unit 1 in your grade level's ELA curriculum. Find a standard that you would like to focus on during the next several weeks.
2. Break this standard into more digestible chunks, if necessary.

Collects data by an identified date and distributes to team members and administrators
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