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Learning Analytics:
A Journey to
Implementation
Kevin O’Halla
CIO
Eric Kunnen
Director, Distance Learning & Instructional Technologies
David Anderson
Infrastructure, 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.
S
SAMPLE REPORTS
LOGIN TRACKING
S
SAMPLE REPORTS
COURSE SIZE
S
SAMPLE REPORTS
TOOL USE
S
SAMPLE REPORTS
GRADE CENTER (IN PERSON COURSES)
S
SAMPLE REPORTS
GRADE CENTER (ONLINE COURSES)
S
SAMPLE REPORTS
DISCUSSION BOARD USE
S
SAMPLE REPORTS
NBC LEARN USE
S
SAMPLE REPORTS
COURSE ITEMS
S
SAMPLE REPORTS
FINAL SIS GRADE VS ACTIVITY
QUESTIONS &
THANK YOU!
Kevin O’Halla
CIO
Eric Kunnen
Director, Distance Learning & Instructional Technologies
David Anderson
Infrastructure, Information Technologies
Paul Herdegen
Data Warehouse Architect, Information Technologies
Send Session Feedback to: BbWorldFeedback@blackboard.com
Session Title: Learning Analytics: A Journey to Implementation
Presentation Available at: http://bit.ly/

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BbWorld 2013 - Learning Analytics: A Journey to Implementation

  • 1. Learning Analytics: A Journey to Implementation Kevin O’Halla CIO Eric Kunnen Director, Distance Learning & Instructional Technologies David Anderson Infrastructure, Information Technologies Paul Herdegen Data Warehouse Architect, Information Technologies
  • 2. 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
  • 3. SESSION AGENDA 1. Analytics Needs, Strategies, and Plans 2. Implementation Experiences 3. Future Goals 4. Sample Reports
  • 4. 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
  • 5. 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)
  • 6. 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….
  • 7. 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
  • 8. IMPLEMENTATION Key Highlights: • Strategic Planning • Infrastructure Planning • Data Warehouse Architect Hired • Project Coordination • Installation • On Campus Implementation Team Training, Business Process, Validation, etc.
  • 9. 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.
  • 13. S SAMPLE REPORTS GRADE CENTER (IN PERSON COURSES)
  • 14. S SAMPLE REPORTS GRADE CENTER (ONLINE COURSES)
  • 18. S SAMPLE REPORTS FINAL SIS GRADE VS ACTIVITY
  • 19.
  • 20.
  • 21. QUESTIONS & THANK YOU! Kevin O’Halla CIO Eric Kunnen Director, Distance Learning & Instructional Technologies David Anderson Infrastructure, Information Technologies Paul Herdegen Data Warehouse Architect, Information Technologies Send Session Feedback to: BbWorldFeedback@blackboard.com Session Title: Learning Analytics: A Journey to Implementation Presentation Available at: http://bit.ly/