BbWorld 2013 - Learning Analytics: A Journey to Implementation
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Transcript of BbWorld 2013 - Learning Analytics: A Journey to Implementation
Learning Analytics: A Journey to ImplementationKevin O’HallaCIO
Eric Kunnen Director, Distance Learning & Instructional Technologies
David AndersonInfrastructure, Information Technologies
Paul Herdegen Data Warehouse Architect, Information Technologies
ABOUT GRCC
• 2 Year Community College located in Grand Rapids, Michigan
• Enrollment 17,000+
• 200-300 Full Time and 600-800 Adjunct Faculty
• Main Campus (Downtown), 2 Technical Education Centers, and Regional Locations
SESSION AGENDA
1. Analytics Needs, Strategies, and Plans
2. Implementation Experiences
3. Future Goals
4. Sample Reports
ABOUT ANALYTICS
What is analytics?• “the use of data, statistical analysis, and explanatory and
predicative models to gain insights and act on complex issues”
- EDUCAUSE
Where is the data?• ERP Systems
(Banner, Datatel, PeopleSoft, Jenzabar, etc.)
• Other Admin Systems (CRM, one-card, parking, bookstore, food service, early alert, etc.)
• Academic Systems (LMS, library, etc.)
• Assessment (Placement testing, student/faculty evaluations, etc.)
• College Readiness Assessment (ACT, SAT, etc.)
• Peer Institution and Benchmarking Data
LEARNING & ACADEMIC ANALYTICS
Source: Phil Long and George Siemens, “Penetrating the Fog: Analytics in Learning and Education,” EDUCAUSE Review 46, no 5 (September/October 2011)
ANALYTICS & STUDENT SUCCESS
Thomas H. Davenport and Jeanne G. Harris, Competing on Analytics (Cambridge, MA: Harvard Business School Press, 2007
Daveport/Harris Framework:
Optimization – Align strategies, targets, actions, policies, and processes to achieve optimal outcomes (student success, academic and administrative productivity, financial sustainability). Then measure, monitor, refine, and realign….
ANALYTICS @ GRCC
Key Areas of Strategic Importance:
• Access to Data!• Data Warehouse Initiative• Title III – College Success Program• Student Success and Completion Agenda• Early Alert, Student Risk Identification & Intervention, and
Predictive Analysis• Professional Development & Course Quality• Measure Trends with SIS Demographics• Link Outcomes to Grades• Overall ROI
IMPLEMENTATION
Key Highlights:
• Strategic Planning
• Infrastructure Planning
• Data Warehouse Architect Hired
• Project Coordination
• Installation
• On Campus Implementation Team Training, Business Process, Validation, etc.
FUTURE GOALS
• Dedicating Time and Campus Wide Integration Learning the meaning of data, validating the data, generating dashboards, and asking the right questions.
• Building Capacity Who can lead? Who needs what? What training is needed?
• Engaging the Culture Asking good questions, building an understanding of the value of data, and how data could be misleading. Communicating around the “big brother” notion.
• Emerging Directions Linking and using data in campus initiatives such as program review, accreditation, early alert, advising, etc.
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SAMPLE REPORTSLOGIN TRACKING
SSAMPLE REPORTSCOURSE SIZE
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SAMPLE REPORTSTOOL USE
SSAMPLE REPORTSGRADE CENTER (IN PERSON COURSES)
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SAMPLE REPORTSGRADE CENTER (ONLINE COURSES)
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SAMPLE REPORTSDISCUSSION BOARD USE
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SAMPLE REPORTSNBC LEARN USE
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SAMPLE REPORTSCOURSE ITEMS
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SAMPLE REPORTSFINAL SIS GRADE VS ACTIVITY
QUESTIONS & THANK YOU!
Kevin O’HallaCIO
Eric Kunnen Director, Distance Learning & Instructional Technologies
David AndersonInfrastructure, Information Technologies
Paul Herdegen Data Warehouse Architect, Information Technologies
Send Session Feedback to: [email protected] Title: Learning Analytics: A Journey to Implementation
Presentation Available at: http://bit.ly/