learning analytics with blackboard 28 august 2012 7 march 2013 dan peters dan.peters@blackboard.com...

Learning Analytics with

Blackboard 28 August 2012

7 March 2013

Dan Peters

dan.peters@blackboard.com

@danspeters

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“The Third Wave”- Malcom Brown, Director of EDUCAUSE Learning Initiative

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20052000 2015

Learning Management System

2010

“The Third Wave”- Malcom Brown, Director of EDUCAUSE Learning Initiative

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20052000 2015

Learning Management System

Web 2.0

2010

“The Third Wave”- Malcom Brown, Director of EDUCAUSE Learning Initiative

5

20052000 2015

Learning Management System

Web 2.0

2010

“The Third Wave”- Malcom Brown, Director of EDUCAUSE Learning Initiative

“Academic Analytics”

• Refers to a collective set of “business intelligence” activities to support the mission of the institution

• Includes:– Data warehousing– Reporting– Predictive modeling

• Modeling is based on program and population specific factors designed to improve:

– Retention– Performance

*Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007). Academic analytics: A new tool for a new era. EDUCAUSE Review, 42 (4), 40-42

What Do We Need For Learning Analytics?

• Data

• Predictive Modeling – (Questions and Results)

• Reports/Views of Data• Continual process

Best Practices

Defined Metrics

Business Rules

Derived Information

Where to Begin?

• Will data REALLY optimize educational experience?

• Uncertainty about where to start• No established industry best practice about what to measure

• No established industry best practice around methodology

• Organizational Culture, Learning Culture and Status Quo

• Enterprise concern about what the data will show

• Competing priorities and lack of incentive for collaboration between different groups

• Siloed data across the enterprise sure doesn’t help

- 2011 Online Educa Berlin, Ellen Wagner, Sage Road Solutions, LLC

Questions

• Are students engaged in their courses?

• How does level of activity influence grades?

• Can we identify and interact with “at-risk” students before they fail?

• Can we motivate students through comparison?

• What are the correlations between use of certain LMS tools and student success?

• Are we meeting our adoption goals?

Data

Grade Center Results

Grade Center Results

Course Attributes

Course Attributes

Course Item Data

Course Item Data

Student AttributesStudent

Attributes

Final Grades

Final Grades

Student System

Instructor AttributesInstructor Attributes

User Activity

Data

User Activity

Data

Enterprise Level AnalysesTrend Analyses

Metrics and Correlations

Predictions

Predictions

Predictions

Predictions

Predictions

Views on Data

Dashboards

Dynamic Analysis

Reports

Information Needs Vary

DATA TO HELP ME

On DemandEasy to Access

and Easy to Digest

But There Are Common Themes

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Improve decision making.Improve institutional performance.

About Blackboard Analytics for Learn: www.blackboardanalytics.com