Download - Educational Data Collection & Analysishiperc.buffalostate.edu/daad4aabc/presentations/Atkinson...District A 2012-2013 Graduation Rate (2009 Cohort) •Poverty is 31% •Graduation

Educational Data Collection & Analysis

Timothy Johnson, Erie 1 BOCES

Dennis Atkinson, Western New York Regional Information Center

DennyTimothy

Educational Data Collection & Analysis

Types of Data Collected

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Data Collection Processes

Data/Information Available

wnyric-mapping.wikispaces.com

Publicly Available Information, NY Educational Data System

1866 NOVEMBER 1866

30

1 2 3

4 5 6 7 8 9 10

11 12 13 14 15 16 17

18 19 20 21 22 23 24

25 26 27 28 29

Types of Data Collected

Institutions

StudentsPerformance

&Attendance

Teachers

https://upload.wikimedia.org/wikipedia/commons/1/12/Briles_One-room_Schoolhouse.jpg

Institution Data

SEDREF and BEDS

http://www.p12.nysed.gov/irs/beds/IMF

http://www.oms.nysed.gov/sedref

Teacher Information

SIRS and TAA/ePMF

http://www.p12.nysed.gov/irs/beds/PMF

http://www.p12.nysed.gov/irs/sirs

Teacher & Class Connection Data

Student Demographic & Attendance Data

Privacy & Data Security

ersonally dentifiable nformationIP I

Privacy & Data Security

http://www2.ed.gov/policy/gen/guid/fpco/ferpa

nysdsp.org

Student Demographic & Attendance Data

SIRS


Student Assessment Data

X X X X X X

X X X X X X

X X

ELA

Math

Science

K 1 2 3 4 5 6 7 8

X

X X X

X X X X

X X

ELA

Math

Science

9 10 11 12

Social

Studies

Scores & Performance Levels

Scores & Performance Levels

100

400

300

200 Level 1

Level 4

Level 3

Level 2

0

100

65

Level 1

Level 4

Level 3

Level 2

85

Level 1

Level 5

Level 4

Level 2

Level 3

Item Response Data

Example

Living Environment, June 2014, question 1

1 2 3 4

http://data.nysed.gov/

http://data.nysed.gov/

Subgroups Include• Students with Disabilities (SWDs)• Limited English Proficiency (ELLs)• Economically Disadvantaged • Gender• Ethnicity• Migrant

District A

• This district is experiencing an increase in poverty and a decrease in enrollment.

• This district is a first ring suburb of a major urban area of upstate NY

• The BOCES has a very diverse range of districts in terms of demographics.

District A 2014-2015 Graduation Rate (2011 Cohort)

• District A is an odds beating school.

• Poverty is 43%

• Graduation Rate is 91%

• Number of Students 138


• Poverty is 40%




• Poverty is 31%



2012-2013

2013-2014

2014-2015

District AFinancialNeed %

Total%

Econ Dis %

Spec Ed%

Males%

Females %

F-M

2009 31 87 85 55 86 86 0

2010 40 85 77 68 83 87 4

2011 43 91 86 71 87 94 7

What were the student outcomes for District A?

Cohort Yr Graduates Non-Graduates Total Cohort Graduation Rate

2009 132 20 152 87 %

2010 129 22 151 85 %

2011 126 12 138 91 %

So what is in the Non-graduate category?

• Dropouts• 20 or more days absent

• Students who have contacted the school to drop out

• Still Enrolled – not done yet

• Transferred to GED or high school equivalency program

How could we decrease the number of non-graduates?• Keep track of the students as they move through High School and

identify early whether they are on track to meeting graduation requirements such as..• Course credits required for graduation

• Community service hours

• Have passed the “Big 5” Regents Examinations

Using this data educators can …

• Identify students who are struggling and match them with instructional programs that can help them.

• Connect them with a mentor to monitor and encourage students to complete the work.

• Identify students who have completed courses but have not passed their corresponding exams. These students may be candidates for credit recovery programs.

The Story of District A

• This district did target students who were at risk. After analyzing the trend of having an ever increasing number of students not graduating, they started a program with the 2011 cohort of students and put in place educator mentors and customized credit recovery programs. One reason why they were able to identify the issue was they had a data consultant to find the problem. Not all districts have this luxury.

District B –Look at these data and tell me what you see!

District B2012-2013Graduation Rate

• 21% Poverty

• 70% Grad Rate

• 30 Students


• 17% Poverty

• 77% Grad Rate

• 43 Students


• 22% Poverty

• 92% Grad Rate

• 26 Students

What can we conclude?

• This is only the tip of the iceberg. With this session we just focused on Graduation Rate.

• There is a “huge” amount of data that goes into analyzing what makes a district or school effective or ineffective.

Inputs/Givens include…

• Student background

• Staff background

• Parent community characteristics

• Perceptions, preconceived notions, & expectations

• Learning styles preferences

• Teaching styles preferences

• Core values and beliefs

• Student learning standards

Process/Systems include…• Purpose, Mission, Vision

• Leadership Policies

• Curriculum

• Program Offerings and Access

• Staffing Assignments

• Instructional Strategies and Materials

• Assessment Strategies and Materials

• Professional Learning, Planning and Collaboration

• Parent Community Relationships

• Physical Environment

• Financial Allocation

Outcome/Results include…• Student Achievement Results

• Student and Teacher Attendance

• Student Behaviors

• Student Attitudes

• Teacher Attitudes

• Graduation Rates/Dropout Rates

• Student Careers

• Student Success in College

• Parent-Community Attitudes

• District/School Climate

Predictive Analytics

predict

student

success

rates

Student Learning Objectives

Is there a

correlation

between previous

test performance

and future test

scores

100

50

10050Score Test #1

Score Test # 2

78

74

Score Test #1

Score Test # 2

100

50

10050

Line of Best Fit

Math 8

Living Env

Algebra

Poverty

LEP

SpEd

Student2012Math 7

(500-800)

2013Math 8

(119-403)

2014Algebra I

(0-100)

2014Algebra I

(0-100)

Goal Met

(Y/N)

student01 94 89 92student02 81 92 88student03 65 76 71student04 91 85 88student05 95 90 91student06 100 99 95student07 93 83 89student08 58 61 63student09 90 95 91student10 71 55 61student11 85 79 82student12 99 99 95student13 82 75 77student14 85 81 83student15 91 94 94student16 98 99 95

Past Test Scores Projection Final Score

Student2012Math 7

(500-800)

2013Math 8

(119-403)

2014Algebra I

(0-100)

2014Algebra I

(0-100)

Goal Met

(Y/N)

student01 94 89 92student02 81 92 88student03 65 76 71student04 91 85 88student05 95 90 91student06 100 99 95student07 93 83 89student08 58 61 63student09 90 95 91student10 71 55 61student11 85 79 82student12 99 99 95student13 82 75 77student14 85 81 83student15 91 94 94student16 98 99 95

Past Test Scores Projection Final Score

94887988949688829454889981859499

Yes

Yes

Yes

Yes

Yes

Yes

NoYes

Yes

NoYes

Yes

Yes

Yes

Yes

Yes

14/16=88%

Data/Information Available

http://data.nysed.gov/downloads.php

School Performance Data

SEDREF Data Dictionary

http://www.oms.nysed.gov/sedref/HELP/datadict.html

http://www.p12.nysed.gov/irs/vendors/templates.html

http://www.oms.nysed.gov/sedref/

School Institutional Data

http://www.p12.nysed.gov/mgtserv/propertytax/

School Financial Data

http://www.openbooknewyork.com/

more...

•Analysts

•Variety of data collection

•Discussion & analysis of existing data

Questions?

Denny

[email protected]

Timothy

[email protected]