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: BbWorldFeedback@blackboard.comSession Title: Learning Analytics: A Journey to Implementation

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