Transcript DDI Session 2

Data Driven Instruction: Rigorous
Data Meetings- Support &
Accountability
March 1, 2012
First Race
So what do I do?
Training


What makes his analysis effective?
How does this lead to effective action
planning?
Handout pg.2
 Identify
the preparation steps for the data
analysis meeting
 Describe
the components of effective one-onone data meetings & team data meetings
Data Driven
Culture
Common
Assessments
Leadership
(Facilitation &
Accountability)
Analysis
Action
Handout pg. 3
The process of identifying patterns of strengths and
weaknesses that need to be addressed as well as
students at the high and low ends that need small group
and/ or individual support as well

Individual Teacher Analysis

Teacher- Principal Analysis Meeting

Grade Level or Team Level Analysis
Meeting
ANALYSIS:
• IMMEDIATE: Ideal 48 hrs, max 1 wk turnaround
• BOTTOM LINE: Includes analysis at question level, standards
level and overall—how well did the students do as a whole
• TEST-IN-HAND analysis: Teacher & instructional leader
together
• TEACHER-OWNED analysis
• DEEP: Moves beyond “what” to “why”
Taken from Driven By Data
Handout pg.4

Review the assessment given:
 What content and skills did the assessment measure?
 What common core standards are measured?

Determine how you can represent the data
easily for others to view it as well:
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How can you quantify the results?
What specific skills will you report?
How can you show how each student scored?
Handout pg.5



Identify patterns of strengths & weaknesses
Identify standards that students are
meeting & standards (or elements of
standards) for which students need more
targeted instruction & support
Identify whole group needs, small group
needs, and individual needs (low & high)
Handout pg.4

What do you see?

How easy are these to complete?

What would teachers need support with?
Handout pg.7
•Kenyatta outperformed her peers on the first part of the test.
•She finished with the lowest score in the class because of her
performance on the second half of the test.
•If we just looked at her overall score, a conclusion we might
make is that she is the weakest academically in the class.
Choose:
 ELA data chart
Use Assessment Analysis Questions (pg 9)
Handout pg.9



What are the steps?
What is essential for the meeting to be
time well spent?
What support with teachers & leaders
need to prepare for data analysis
meetings?
Handout pg.8

What are you noticing?
 The Principal?
 The Teacher?
Use:
◦ Tips for Effective Analysis Meetings (pg. 10)
◦ Note-taking sheet for the observer (pg.11)
Taken from Driven By Data
Handout s pgs.10 & 11
Role-Play Procedure (ABC)*



A- Principal (facilitate the meeting)
B- Teacher ( sharing data analysis & action
plan thoughts)
C- Observer (takes notes to give feedback)
*(ABC=Rotate roles)
Handout s pgs. 10 & 11

What happened?

What support would you need?

What support would the teacher need?



Where are you now?
What could be
next steps?
What support
is needed?
Data
Driven
Culture
Common
Assessments
Leadership
(Facilitation &
Accountability)
Analysis
Action
Handout pg.12
The Swim Meet
How do we get this for every
student?
(Keep the focus on student learning…)
Handout pg.2
 Where
are you now?
 What
could be
next steps?

What support
is needed?
Data
Driven
Culture
Common
Assessments
Leadership
(Facilitation &
Accountability)
Analysis
Action

March 27 – Analysis Into Action: Using
(JCLC)
Common Assessment Results

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

Connecting Common Core with DDI
Norms for collaborative data meetings
Protocols for team data meetings
Developing instructional action plans
Tips for follow-up & support of action plan
implementation
On-going follow-up support with regional
cluster groups and/ or in-districts
Take a few minutes to respond to the
questions on your “Ticket Out the
Door.”
The thinking you share will help to
guide our next sessions together.
Thank you!