ISBE and District 87: Vision of Real Time Data Collection and Validation

1. ISBE and District 87: Vision of Real Time Data Collection and Validation Jim Peterson, Bloomington District 87 Brandon Williams, Illinois State Board of Education Lou Eriquez, CPSI STATS-DC 2012 Data Conference July 13, 2012

2. Making it possible for districts to:

3. IlliniCloud Challenges • District IT scramble • 860+ school districts • Similar services/varying levels of implementation and success • Challenges of data collection and integration • Data reporting

4. The Vision Automate the data collection activities for students and teachers from five school districts and integrate that data with the statewide initiatives for better decisionmakingat schools and districts.

5. Illini Architecture

6. State Support • Move from compliance to customer service • Support the have’s and have-not’s • Growth of state-wide data initiatives • Longitudinal Data System • Illinois Shared Learning Environment • RTTT 3 • SLC Technology • Research Collaborative • Data to inform PRACTICE, not just POLICY

7. Shared Learning Collaborative • Illinois one of nine pilot states • Funded by the Gates Foundation • Brings educators and vendors together who are passionate about using technology to enhance education • Driven by Common Core State Standards • Increased need for differentiated instruction • CCSS enable efficiencies & interoperability

8. The Four Key Components of SLC Technology A secure, multi-tenant data store Aspiration: Real-time feedback about where students are in their learning journey and where they need to focus next Set of application programming interfaces Aspiration: “Apps stores” that will give teachers and students access to the latest tools and content to help them succeed Metadata schema Aspiration: Faster discovery of relevant, Common Core-aligned resources Learning maps Aspiration: Track and predict individual student and cohort progress

9. Shared Learning Collaborative Greater personalization requires improved interoperability between data, content, assessments and applications 15

10. Vendor Data Student Data Source Systems Dashboard SLC English Social Studies Math John Learning Map Ms. Harrison Students John Viewing all classes SLC Ms. Harrison uses John’s prior record to determine: John does theassignment Vendor app sends data to the SLI Reading Comprehension Recommendation Engine Filtered by age, effectiveness rating, etc. Ms. Harrison chooses the best option SLC From multiple sources, such as the LRMI and Data Store Dashboard English Social Studies Math John ReadingComp Learning Map Viewing all classes John’s experience becomes one more useful data point to inform learning for students like him. Ms. Harrison rates assignment Assessment SLC SLC SLC API API API SLC

11. The SLC collects and enables data from millions of Ms. Harrisons and Johns across… …and multiple states. …districts… …states…

12. Illini Architecture

13. District/LEA Data Validation Process IlliniCloud Data Entry StudentInformation Teacher/Staff Data User corrects data and resubmits ERRORS NO ERRORS Data is collected in the ODS, where the Data Validation Rules Engine runs to check for errors If the data is rejected, an error message is generated to the user Valid data is moved to the Data Marts Create a presentation Analyze the data in a spreadsheet Prepare a report Data can now be analyzed –longitudinal data analysis can be performed Better Research Leads to Better Decisions Data is Stored in the Longitudinal Data Warehouse REAL TIME REPORTS

14. Real Time Data Collection

15. Project Goals

16. Key Steps • Install software on centrally located designated servers using CPSI Toolset. • Install xDUA or xDMover at school districts. • Develop the collected data set (objects and elements). • Develop and deploy the data collection and data automation. • Enable real-time data validation and district error reports.

17. Q & A Jim Peterson - petersonj@district87.org Brandon Williams - bwilliam@isbe.net Lou Eriquez – aelia@cpsiltd.com