using data to manage interventions

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Using Data to Manage Interventions Managing student supports within City Year and Diplomas Now

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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 - PowerPoint PPT Presentation

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Page 1: Using Data to Manage Interventions

Using Data to Manage Interventions

Managing student supports within City Year and Diplomas Now

Page 2: Using Data to Manage Interventions

Fill out the chart provided with as many examples of relevant data that you or teams you work with might use in schools.

Do Now

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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

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• Kellie Hinkle: Diplomas Now Manager of School Turnaround, CYHQ

• Dan Anderson: Talent Development Facilitator at the Jeremiah E. Burke High School

Who We Are

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Agenda (90 minutes)

• 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)

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Data Review

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What examples of data did you come up with that would shed light on student patterns in Attendance, Behavior, and Coursework?

Data Review

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• 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: Attendance

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• 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: Behavior

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• 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

Examples: Coursework

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• Indication of dropout risk• Research based

DN 101: What Is an EWI?

Indicator Area Off-Track Sliding On-Track

Attendance <85% ADA 85-90% ADA >90% ADA

Behavior >0 suspensions 0 suspensions

Coursework (ELA and Math)

Course grade of F Course grade of D Course grade >D

EWIs – early warning indicators

ABCs – • (poor) Attendance,• (disruptive) Behavior,• Course performance (failure in English and/or math)

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DN Goals

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

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 on-

track by the end of the year

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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

Data Use for Diplomas Now

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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

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DN Quarterly Reports

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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

Early Warning Indicator Meetings

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Managing the Data

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Components– Compiling and utilizing data– Using the focus list– Holding EWI meetings

Managing the Data

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1. Determine what data you need to track2. Determine how you need to use your data3. Determine whether you will use a school- or

district-provided data management system, or manage your own

Compiling and Utilizing Data

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Example of Data Dashboard

History ESL A ESL B Gym Spanish Art Tech Advisory JROTC

#N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

A #N/A #N/A #N/A #N/A #N/A #N/A P #N/A

#N/A #N/A #N/A #N/A B #N/A A #N/A #N/A

#N/A #N/A #N/A #N/A #N/A D- #N/A P #N/A

B- #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

#N/A #N/A #N/A #N/A #N/A #N/A A #N/A #N/A

#N/A #N/A #N/A #N/A C- #N/A #N/A #N/A #N/A

#N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

B #N/A #N/A #N/A #N/A #N/A A #N/A #N/A

C+ #N/A #N/A #N/A C #N/A #N/A P #N/A

#N/A #N/A #N/A #N/A B+ #N/A #N/A P #N/A

#N/A #N/A #N/A #N/A #N/A #N/A #N/A P #N/A

#N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

#N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

C+ #N/A #N/A #N/A #N/A #N/A #N/A P #N/A

A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

#N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

#N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A #N/A

Core Course Grades Term 4

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Using the Focus List

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Holding EWI Meetings

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Data Sorting Activity

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• 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

Data Sorting Activity

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Q & A

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• 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?

Q & A

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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 GradeDN•Only Math & Literacy – Assessment scores (minimum 2 per student)

Data Requirements for City Year

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• On a notecard, please provide us with feedback: – Pluses (+): What helped your learning during this

session?– Deltas (∆): What impeded your learning during

this session?

Evaluation

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PITW # 83: Give Immediate Feedback

Follow the link in your email to complete the Learning Evaluation Survey.

orIf 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.

Learning Evaluation Surveys