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Copy of Data Teams

Using Data to Improve Teaching and Learning

Cory Smith

on 29 January 2013

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Transcript of Copy of Data Teams

The Data Team Process… DataTeams Using Data to Improve
Teaching and Learning that doesn’t intimidate or confuse the bajesus out of you. BAJESUS:
“to scare someone to the point of peeing themselves”
(Courtesy of Urban Dictionary) ADAPTED FROM:
“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. WHAT IS A DATA TEAM? An Instructional Data Team is a small grade-level, department, course-alike,
or organizational team that examines work generated from common formative assessment.

A Data Team may consist of an entire grade level, and often does, especially in
an elementary school.

When understood fully, the term “Data Team” signifies true professional
collaboration among educators and high achievement among students. INFORMATION GATHERED FROM:
“The Data Teams Experience: A Guide for Effective Meetings” by Angela Peery, Ed.D. The Six Steps of the Data Team Process Step 1: Collect and Chart the Data Teachers must come prepared for a 60-90 minute meeting.

a. Complete with student papers
(from the common formative assessment)
b. Arranged from proficient to least
proficient using an easy to use excel document.

Data is submitted to the team leader PRIOR to the meeting.

At the meeting, the team leader provides each team member with the data shown in a table or graph. Step 1: Collect and Chart the Data 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 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 The team uses the results from Step 2 to determine instructional strategies/interventions for Step 4.
It is important to use researched-based strategies/interventions.
Instructional strategies need to be selected for each of the groups of students.
Strategies chosen need to address the obstacles and bring about mastery of the SMART goal. Step 4: Select Research-based Instructional Strategies Step 5: Determine Results Indicators 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
implementation. The Six Steps … One More Time Data Team Process Reflection (5 minutes) (10-20 Minutes) (5 minutes) (10-15 minutes) 15-20 minutes (Always happening) Jobs for Data Team Members Team Leader/Facilitator

Data Technician

Data Wall Curator


Time Keeper

Focus Monitor

Engaged Participant Guides the team through the Data Teams process steps Gathers and records data from all team members Posts incremental assessment data Takes minutes of the meeting using templates Makes sure team follows pre-determined timeframes Keeps dialogue focused on step in the process Contributes to dialogue, commits to decisions of team, respectfully poses questions, and Uses active listening. Data Team
Flow Chart & Rubric Flow Chart

Rubric (See page 8 in Data Teams (3rd edition) (handout)
Full transcript