ese data initiatives district, school and charter school leaders bob bickerton, associate...
TRANSCRIPT
![Page 1: ESE Data Initiatives District, School and Charter School Leaders Bob Bickerton, Associate Commissioner Jessica Perez-Rosello, CIO May 2009](https://reader035.vdocuments.site/reader035/viewer/2022062421/56649cfa5503460f949cbdd6/html5/thumbnails/1.jpg)
ESE Data Initiatives
District, School and Charter School LeadersBob Bickerton, Associate Commissioner
Jessica Perez-Rosello, CIOMay 2009
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Agenda
• Purpose of 2 New Data Initiatives• SIMS Expansion• SIF (Schools Interoperability Framework)• Next Steps
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Why?
If we are going to continue to improve the education of students in Massachusetts we must have an expanded data set to help districts, educators and policy makers answer critical questions.
In meeting this goal, we must find ways to provide efficient systems to collect and report a growing body of student and staff information.
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The Missing Data Link
• SIMS = valuable student information• EPIMS = valuable staffing and instructional
settings (e.g., “classes”) information• What is missing:
– ability to better understand what is happening in the classroom at the student level
– ability to analyze the impact of investments from educator preparation to student instruction.
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National Perspective
• Title IIA – analysis requires reporting the rate of HQ educators teaching low-income students
• ARRA Fiscal Stabilization Funds – Governors Assurances
• 19 States currently have the ability to link student and teacher data and analyze data at the classroom level
• Massachusetts is one step away from answers to key policy and program evaluation questions
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Critical Unanswered Questions• Which courses are students enrolled in?• What is the effect of class size and teacher student load
on student performance?• What is the average class size in MA?• What is the course completion rate and what
grades/marks are awarded to students?• How does this success relate to performance on other
measures like MCAS, readiness for college and/or for work?
• Which instructional models (i.e. - curriculum, school schedules) are most successful?
• Which teacher preparation programs are most effective?
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District Data Analysis
• Some districts are trying to do this level of analysis on their own with local data in the Education Data Warehouse– This can require a substantial effort – Benefits limited to one district at a time– Analysis should be available for all
districts to use
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Possible Report
MCAS Scaled Score and Grade Comparison Mrs. Johnson's 7th Grade Math Class
200
210
220
230
240
250
260
270
280
Grade 6 Math Mark
Gra
de
6 M
CA
S M
ath
Sc
ale
d S
co
re
A B C D F
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Possible Report
Math English Science History
School Avg. Class Size
Avg. Class Size
Avg. Class Size
Avg. Class Size
Taft 19.0 22.0 25.0 25.0
Jefferson 22.0 23.0 28.0 24.0
Adams 20.0 23.5 26.0 23.5
Lincoln 21.5 26.0 24.0 26.5
Kennedy 24.0 25.0 28.0 25.5
Johnson 24.5 25.0 29.0 24.0
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Possible Report
Percentage of Low-Income Students Being Taught by Highly Qualified Teachers
50
60
70
80
90
100
Hig
hly
Qu
ali
fied
Perc
en
tag
e
Low-Income
Non Low-Income
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Two Data Collection Initiatives to Support Decision Making
• SIMS Expansion– collect student course information
• Schools Interoperability Framework (SIF) – new technology to reduce reporting
burden
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2009 – 2011SIMS Expansion Project
• Add student course level information to the October 2010 SIMS collection
• Add the capability to also collect student completion and grades/marks in October 2011
• Student and educator data will be linked in the Education Data Warehouse for data analysis
• Standard reports provided for district analysis
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SIMS Expansion Project Timeline
Hi Level Design
Complete5/30/09Project
Kickoff
Regional Information Sessions
Data Collection
Pilot Release 3/1/10
Collaboration begins with
Pilot Districts
Statewide Collection 10/01/10
Pilot Data
Loaded into DW
Application Enhancements
Completed
Pilot Information
Delivery
OctSeptAugJulyJuneMayAprMarFebJanDecNovOctSeptAugJulyJuneMayApril
Development & Testing
Completed
2010
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SIMS Expansion Goals• Gather student course information in October 2010,
course completion and grades/marks in SY 2011 - 2012
• Load the information into the Education Warehouse providing valuable analytical tools
• Align the ESE data collection systems more closely with the LEA data systems– Improve the collection method of HQT status to
minimize reporting burden at the local level– Additional EPIMS Collections
• Improve the coordination of SIMS / EPIMS data collection by establishing the District Data Coordinator role
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One Proposed View ofSIMS Expansion Project
SIMS 52Student
ScheduleEPIMS Staff
Roster
EPIMS Work
Assignment
Current Version with HQ
Proposed EPIMS Work Assignment
Modified Version with out HQ
OR
Modified HQT
Information provided based on prior HQT
reporting
Remains the same New
Remains the same
New
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SIMS Expansion Project Questions?
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SIF Implementation
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SIF Collection Effort Goals
• Introduce new technology • Schools Interoperability Framework (SIF)
– $6M USED Longitudinal Data Systems Grant
– Automate the delivery of data from districts to ESE
– Move towards a less labor intensive, more transactional data model
– Minimize district reporting burden
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Long Range Vision to Minimize LEA Data Collection Efforts
• District systems are upgraded to be SIF compliant
• Department systems are able to automatically retrieve the required data elements from district (SIF) systems with less LEA staff time
• More timely data is organized and loaded into EDW for immediate use by teachers, school and district leaders, and ESE
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What is the SIF Specification?
• Not a product, but a technical blueprint for pK-12 software.• Document that defines
accepted rules• Describes the data (what)
+ infrastructure (how)• Provides a complete set of
rules from start to finish
• Manages data within the pK-12 environment
• Enables diverse applications to interact and share data
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SIF Zones Concepts• Logical grouping of
applications, agents, and ZIS• Highly flexible and scalable
Library Automation
FoodServices
Student Information System
Network Account
Transportation
Student Information System
• No predefined size or structure… specific to your implementation
District Zone
State Zone
• Grant Funding available for vertical agent development
• Other agents available for local systems
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SIF Resources• SIF Association
– Non-profit organization– Members include vendors, local school
districts and state education organizations
– www.sifinfo.org. – Schools FAQ -
http://www.sifinfo.org/us/school-faq.asp. – Vendor Information
• http://certification.sifinfo.org/cert_prodlist.tpl.
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What are the Benefits of SIF?
Student and Parent see improved timeliness of service and accurate school data across all systems.
District IT Departments report a reduction in support costs and large cost savings by using existing applications and infrastructure.
Schools & Districts Regional Service Centers & States
Policy Makers gain real time access to data for critical decision making.
Reduction in the SIMS/EPIMS reporting burdens placed on districts.
Vendors and Consultants
Developers recognize a decrease in development time and less “tailored” development.
Sales and Marketing identify the formation of partnerships, international opportunities and greater response to the end user community.
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Proposed SIF Project TimelineHi Level Design
Complete9/30/09
Regional Information Sessions
SIF Pilot Release – Phase 1
District Grant Announcement
Application Enhancements
Completed
OctSeptAugJulyJuneMayAprMarFebJanDecNovOctSeptAugJulyJuneMayApril
Development & Testing
Completed
2010SIF
Architecture available
SIF Pilot Release – Phase 2
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SummaryTwo Data Collection Initiatives
• SIMS Expansion– Project underway– Will impact all districts in October 2010
• SIF– Project to begin in May 2009– Grant opportunity for estimated 30 – 40
districts
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Next Steps
• District Surveys– Gather additional SIS and HR system
information– SIMS Expansion Pilot district volunteers– Strongly recommend identifying a
District Data Coordinator• Available soon in Directory Administration
• ESE begin collaboration with Pilot Districts on SIMS Expansion Project
• ESE & Districts outreach to SIS and HR vendors
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SummaryTwo Data Collection Initiatives
OctSeptAugJulyJuneMayAprMarFebJanDecNovOctSeptAugJulyJuneMayApril
2010
SIMS Expansion
Development with Pilot Districts
ESE/Vendor Conversations
Pilot data to EDW Statewide Collection
SIF Technology
Grant Process SIF ArchitectureCollaboration & Pilot w/ Grant Districts
Pilot Collection
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Contact Information
• Jessica Perez-Rossello, [email protected]
• Helene Bettencourt, Manager of Data [email protected]
• Maryann Donie, Data Collection Support [email protected]