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Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

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Page 1: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Leveraging Race to the Top to Maximize the

Use of Data To Ensure College & Career

ReadinessAimee R. Guidera

Achieve ADPSeptember 10, 2009

Page 2: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

DQC Progress: 2005-2008

2005 2008

Page 3: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

04/21/23 3

College & Career Readiness—a Priority

0

5

10

15

20

25

30

35

40

45

50

# o

f S

tate

s

2005

2006

2007

2008

Page 4: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Phase II of the DQC: Changing the culture around data use and maximizing states’ investments in longitudinal data systems.

04/21/23

Page 5: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Data Opportunities in ARRA

$250 Million for State Longitudinal Data Systems Competitive Grant managed by Institute of

Education Sciences Help states implement and use state longitudinal

data systems (based on DQC ten elements, but also postsecondary and workforce data)

Since 2005 50 states have applied for these grants in 3 rounds of funding; 27 states have received in first 2; 3rd round just awarded to 27 states

Application due November 19th

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Page 6: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Data Opportunities in ARRA

$53.6 Billion in Stabilization Funds $48.6B to assist education budgets (formula)

To tap into these funds, states must meet 4 Assurances:1. Qualified and effective teachers for all students2. Higher standards and rigorous aligned assessments3. Supports and interventions for struggling schools4. IMPROVED COLLECTION & USE OF LONGITUDINAL DATA

$4.35B State Incentive Grants—Race to the TopDistributed by Secretary by competitive grant to help states fully

meet the assurances goals – released for comment July 24 $650M Local Innovation Funds – What Works Innovation

FundsDistributed by the Secretary by competitive grants to help LEAS

expand their work and serve as models for best practices

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Page 7: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Race to the Top: Selection Criteria

• States must address the State Reform Conditions Criteria (SRC) Criteria and Reform Plan (RP) Criteria for each of the four reform areas.

• The Secretary has identified 19 selection criteria - 14 selection criteria across the four reform areas and 5 overall criteria: Standards and Assessments: 3 criteria (2 SRC and 1 RP) Data Systems to Support Instruction: 3 criteria (1

SRC and 2 RP) Great Teachers and Leaders: 5 criteria (1 SRC and 4 RP) Turning Around Struggling Schools: 3 criteria (2 SRC and

1 RP) Overall: 5 criteria (3 SRC and 2 RP)

Page 8: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Selection Criteria: Data Systems to Support

InstructionState Reform Condition Criterion• (B) (1) Fully implementing a statewide longitudinal data system. The

evidence required includes a description of the extent to which a state’s data system includes the elements outlined in the America COMPETES Act. This criterion is aligned with DQC State Action 1 and the DQC’s 10 essential elements

Reform Plan Criteria• (B) (2) Accessing and Using Data. States are asked to detail a “high-

quality” plan to “…ensure that data from the State’s statewide longitudinal data system are accessible to, and are used to inform and engage, as appropriate, different types of stakeholders. This criterion is aligned with DQC State Actions 5, 6, and 7. 

• (B)(3) Using data to improve instruction. States must outline their plan to increase the use of data to provide stakeholders with information to improve instructional practices, decision-making, and overall effectiveness. States should also outline how they plan to make these data available and accessible to researchers for evaluative purposes, particularly “materials, strategies, and approaches for education different types of students.” This criterion is aligned with DQC State Actions 5, 6, 7, and 8.

Page 9: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Other Areas with Data Implications

Reform Area 3: Great Teachers and Leaders• Reform Plan Criteria (C)(2) to (C)(5) rely heavily on a strong data

system that links teachers with student performance data (DQC element 5).

(C)(2) Differentiating teacher and principal effectiveness relies on the ability to measure student growth.

(C)(3)Equitable distribution of teachers (C)(4)Reporting on effectiveness of teacher and principal preparation

program will assess the extent to which a state is able to link student’s achievement data to the student’s teacher and principals which is then linked back to the educators credentialing program. This criterion is aligned with DQC State Action 9.

(C)(5)Providing effective support to teachers and principals: states should detail in their plan a way “…to use rapid-time […] student data and guide the support provided to teachers and principals (e.g., professional development, time for common planning and collaboration) provided to teachers and principals…” This criterion is aligned with DQC State Action 9.

Page 10: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

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Page 11: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Q: Why Link Data Across Sectors?A: To Answer Critical Policy Questions!

• How many of our state’s high school graduates need remediation in college?• What is the college going rate for our high school graduates?  College completion?• What percentage of our college graduates continue to live and work in our state?• To what degree do our state financial aid programs improve college access?• How much do our high school and college graduates earn in the workforce over

time? What about the drop-outs?• How many of our high school and college students are employed while they are in

school and what kind of impact does it have on their academic success?• Which industries employ the majority of our state’s high school and college

graduates?• Which of our teacher education programs produce alumni whose pupils perform at

a higher level on assessments?• To what degree does participation in early childhood programs increase

kindergarten readiness?  Are these gains sustained through third grade?• What high school performance indicators (e.g., enrollment in rigorous courses or

performance on state tests) are the best predictors of students’ success in college or the workplace?

• Do students who earn college credit in high school more likely to go to college? Are they more likely to graduate from college on-time?

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Page 12: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

State Support for LDS

• States with Significant LDS Legislation California Maine Illinois Arizona (pending) Maryland (elements 5 and 6) New Mexico Colorado (element 5) Oklahoma Vermont Washington

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Page 13: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

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Page 14: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

14

Arkansas – Triand*http://arkansased.org/tech_resources/triand.html

*chart from Aldine Independent School District in Texas; they also use Triand

Page 15: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

10/21/200815

Month Day, Year

1) School Year 2008-2009

Abbeville 60

Calhoun Falls High School10

Smith, Fred Doe

123456

435667

W

6

5

M

10/10/1995Basic

Below Basic **Below Basic **

Basic9

18) G

rade

19) S

choo

l Yea

r (yy

-yy)

20) D

istr

ict

21) S

choo

l

22) E

nrol

led

Dat

e

23) W

ithdr

awn

Dat

e

24) O

vera

ge (*

* >=

2 ye

ars)

25) #

of D

isci

plin

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ents

(*

* 15

0, 1

51, 1

52, =

500-

743

code

s)

26) #

of D

ispo

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(*

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spen

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SU

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UPX

, EX

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27) D

aily

Abs

ence

s (*

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28) P

erio

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29) T

imes

Ret

aine

d (*

* >=

1)

30) M

ultip

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nrol

lmen

ts (*

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3)

31) H

omel

ess

(**

if ye

s)

32) S

ingl

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rent

(**

if ye

s)

33) D

ispl

aced

Hom

emak

er (*

* if

yes)

34) 9

th G

rade

Mat

h (*

* <=

69)

35) 9

th G

rade

Eng

lish

(**

<=69

)

36) #

At R

isk

Indi

cato

rs

(**

para

met

ers

met

or e

xcee

ded)

37) A

t Ris

k St

uden

t Mod

el U

sed

10 08-09 Abbeville School District Calhoun Falls High School 8/20/08 2** 10** 3** 6 11 ** ** Y** N N 807-08 Department of Juvenile Justice Birchwood School 3/20/08 6/2/08 2** 11** 0 18** 25 ** ** N N N 7 Some model code(s)

07-08 Lexington One School District Lexington High School 8/19/07 3/15/08 1 12** 1 15** 4 ** N N N 59 06-07 Aiken School District Aiken High School 2/5/07 6/4/07 0 9 1 15** 4 ** N N N 72 62** 5

06-07 Abbeville School District Abbeville High School 8/21/06 1/20/07 -1 14 1 15** 4 N N N 82 72 38

Totals 2** 56** 6** 69** 48** 1** 5** Y** N N 72 62** 11 Some model code(s)

38) 39) 40) 41) 42) 43) 44) 45) 46) 47) 48) 49) 50) 51)

Student Report

13) 3rd Grade PACT ELA (** below basic)

12) Birthdate

Potential Performance Report (PPR)

9) Race/Ethnicity Indicator

10) Race

6) StateID

7) SASI Perm#

8) Ethnicity

11) Gender

14) 3rd Grade PACT Math (** below basic)15) 6th Grade PACT ELA (** below basic)16) 6th Grade PACT Math (** below basic)17) Credits Earned ( <5 for 9th, <11 for 10th, <17 for 11th grades)

2) District

3) School

4) Grade

5) Student

Potential Performance Report

The report includes a student header…

...and individual records by grade and school

A PPR will be produced for every student in 8th-12th grade

Page 16: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

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Page 17: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Kansas Education Data Users Consortium

Established State Research Agenda Developed via Needs Assessment Survey & Researcher Interest

Survey

• Teacher quality Identifying teacher characteristics that are associated with better K-

12 student outcomes Identifying programs and practices for teacher preparation or teacher

professional development that increase teacher quality Determining how teacher quality should be measured

• Student outcomes and interventions Developing interventions to meet student needs Selecting from a continuum of research-based interventions to

respond to student needs Monitoring the effectiveness of selected interventions

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Page 18: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

Professional Development RoadmapThe Oregon DATA Project

www.oregondataproject.org

04/21/23 18

• Gap analysis -- Creation of Professional Development Road Map

• Strand 1: Creating a Data Culture Administrators, district leaders, teacher leaders

• Strand 2: Using Data to improve learning in districts and schools Administrators, district leaders, teacher leaders

• Strand 3: Using Data to improve learning in the classroom Principals, classroom teachers

Page 19: Leveraging Race to the Top to Maximize the Use of Data To Ensure College & Career Readiness Aimee R. Guidera Achieve ADP September 10, 2009

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Contact Information

Aimee R. [email protected]

952.476.0054

www.DataQualityCampaign.org