Mi bug grcc analytics presentation 2013

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Getting Started with Blackboard Analytics for Learn Eric Kunnen Director, Distance Learning & Instructional Technologies

Transcript of Mi bug grcc analytics presentation 2013

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Getting Started with Blackboard Analytics for Learn

Eric Kunnen Director, Distance Learning & Instructional Technologies

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Big Picture & Big Data

• “Analytics is the use of data, statistical and quantitative methods, and explanatory and predicative models to allow organizations and individuals to gain insights into and act on complex issues.”

Retrieved from: http://www.educause.edu/ero/article/lets-talk-analytics

Analytics & Big DataAnalytics & Big Data

Business Intelligence / Academic Analytics

Business Intelligence / Academic Analytics Learning AnalyticsLearning Analytics

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2013 Horizon Report – Big Data and Learning Analytics• Time-to-Adoption Horizon: Two to Three Years• “…learning analytics leverages student-related data to build better

pedagogies, target at-risk student populations, and to assess whether programs designed to improve retention have been effective…”

Retrieved from: http://www.nmc.org/publications/2013-horizon-report-higher-ed

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“Big Data” .COM

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“Big Data” .EDU

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“Big Data”.LMS

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Analytics Needs at 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

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Analytics Implementation at GRCC

Key Highlights:•Strategic Planning•Infrastructure Planning•Data Warehouse Architect Hired•Project Coordination•Installation•On Campus Implementation Team Training, Business Process, Validation, etc.

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Analytics for Learn - Sample Student Reports

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Analytics for Learn - Instructor Reports

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Retention Center (NEW!)

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Analytics for Learn Reports

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Next Steps…• Dedicating Time

(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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Additional Analytics Resources

Learning Analytics 101 Infographic: http://www.opencolleges.edu.au/informed/learning-analytics-infographic/

EDUCAUSE resources:•Index:http://www.educause.edu/library/analytics •Sprint Resourceshttp://tinyurl.com/learnanalytics •Building Organizational Capacity for Analytics: http://www.educause.edu/library/resources/building-organizational-capacity-analytics •Infographic: http://net.educause.edu/ir/library/pdf/ERS1207/eig1207.pdf

Learning Analytics - Definitions, Processes and Potential: http://learninganalytics.net/LearningAnalyticsDefinitionsProcessesPotential.pdf

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Thank You!