Using Data to Manage
Interventions
Managing student supports within
City Year and Diplomas Now
Do Now
Fill out the chart provided with as many
examples of relevant data that you or teams you
work with might use in schools.
Objectives
At the end of this session participants will
• Understand data context and terminology for
Diplomas Now and City Year sites
• Understand uses of data in school contexts
Who We Are
• Kellie Hinkle: Diplomas Now Manager of
School Turnaround, CYHQ
• Dan Anderson: Talent Development Facilitator
at the Jeremiah E. Burke High School
Agenda (90 minutes)
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Do Now (5 minutes)
Agenda (5 minutes)
Data Review (20 minutes)
Managing the Data (10 minutes)
Data Sorting Activity (25 minutes)
Q & A (15 minutes)
Wrap Up and Evaluation (10)
Data Review
Data Review
What examples of data did you come up with
that would shed light on student patterns in
Attendance, Behavior, and Coursework?
Examples: Attendance
• Student average daily attendance
– Days missed, attended and excused
– Sorted by student, homeroom, grade, etc.
• Student tardy rates
– How often are students late?
– How late are they?
• Logs of phone calls to students and families
regarding attendance
Examples: Behavior
• Suspensions
• Detentions
• Referrals of students for behavior reasons to
administrators, student support, etc
• Behavior management/PBIS information
• Results of student risk and character skills
assessments such as Success Highways
Examples: Coursework
• Results of diagnostic assessments
– DIBELS, GRADE, GMADE, ANet, Gates-MacGinitie
– Assessments of skills in various areas, such as fluency,
vocabulary, reading comprehension, etc
• Course grades
– Viewed by student, course, section, etc
• Results of state test scores and predictive diagnostics
• Results of teacher-designed formative and
summative assessments
DN 101: What Is an EWI?
EWIs – early warning indicators
• Indication of dropout risk
• Research based
ABCs –
• (poor) Attendance,
• (disruptive) Behavior,
• Course performance (failure in English and/or math)
Indicator Area
Off-Track
Sliding
On-Track
Attendance
<85% ADA
85-90% ADA
>90% ADA
Behavior
>0 suspensions
Coursework
(ELA and Math)
Course grade of F
0 suspensions
Course grade of D
Course grade >D
DN Goals
DN goals
– At least 67% of students in focus grades have no EWIs at the end of
the school year
– For each ABC: ≥50% of students with an EWI at any point move ontrack by the end of the year
Off Track
On Track
Attendance:
<90% average daily attendance
≥90% average daily attendance
Behavior:
1 or more suspensions
no suspensions
ELA/Literacy:
a “D” or an “F” ELA grade
a “C” or higher ELA grade
Math:
a “D” or an “F” math grade
a “C” or higher math grade
Data Use for Diplomas Now
There are a number of tools, processes and systems in
which data is used in Diplomas Now:
• DN focus list
• DN quarterly reports
• School-based data systems
• EWI meetings
DN Focus List
A collaborative process:
• the entire DN school
team (and school
faculty, if available)
should work together
to identify students
For all students in need:
• any student with an
EWI should be on the
focus list in the
indicator area(s) in
which they need help
DN Quarterly Reports
Early Warning Indicator Meetings
Goal: To coordinate and create interventions for students who
are exhibiting early warning indicators and to closely monitor
their progress towards success.
These meetings:
• Are an opportunity for all the adults in a school that work
with a particular set of students to come together to:
 analyze data
 craft interventions
 project manage existing interventions
• Occur at least every other week for each adult team in the
school
Managing the Data
Managing the Data
Components
– Compiling and utilizing data
– Using the focus list
– Holding EWI meetings
Compiling and Utilizing Data
1. Determine what data you need to track
2. Determine how you need to use your data
3. Determine whether you will use a school- or
district-provided data management system,
or manage your own
Example of Data Dashboard
Core Course Grades Term 4
Hi s tory
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Using the Focus List
Holding EWI Meetings
Data Sorting Activity
Data Sorting Activity
• Take 25 minutes to go through the table
provided to plan managing data this year
• Choose the table specifically designed for:
– Staff responsible for a specific school site
– Operations staff
• We will circulate to answer questions
• After the activity we will have further time for
questions
Q&A
Q&A
• What questions do you have about
expectations for data use or how to manage
it?
• What do you feel like you still need to know or
could use further coaching/development in
with regards to data?
Data Requirements for City Year
WSWC
• Attendance – days enrolled & days absent (per month)
• Behavior - # of suspensions per month
• Math & Literacy – Assessment scores (minimum 2 per
student)
• Math & Literacy – Prior Year Grade, Each MP Grade, End of
Year Grade
DN
• Only Math & Literacy – Assessment scores (minimum 2 per
student)
Thanks!
Dan Anderson: dan.anderson@jhu.edu
Kellie Hinkle: khinkle@cityyear.org
Evaluation
• On a notecard, please provide us with
feedback:
– Pluses (+): What helped your learning during this
session?
– Deltas (∆): What impeded your learning during
this session?
Learning Evaluation Surveys
PITW # 83: Give Immediate Feedback
Follow the link in your email to complete the Learning Evaluation Survey.
or
If you did not receive an email, please go to the Summer Academy 2013
page on cyconnect. Select the “Learning Evaluations” link on the left side of
the page and choose the appropriate survey.