Big Data in Education:Theory and Practice

You have dataWe provide Insights™

Michael Moore, MSCISSr. Advisory Consultant – Analytics

Big Data – Big Deal

• Valuable insight about how we consume, behave and interact – Every click, tap, tweet, send

or swipe– Digital breadcrumbs

• Opportunity for personalization

• Big Data has Big Value– Organizations, institutions,

etc. can mine (use/extract) that data

What is so important about Big Data?

Big Data – Big Deal

• What qualifies as Big Data?• It is identified by the “3 Vs”

• How fast data is changingVelocity

• How much data there isVolume

• How many different kinds/sourcesVariety

Gartner - 2012

Big Data IS A Big Deal

• Identify Trends• Transparency and accessibility

• Connections• Seem arbitrary or incongruous

• Actionable Information• Decision Making

Why is Analyzing Big Data Important?

Big Data – Big Deal

Scouting Football

• “Moneyball” movie• Evaluate skills relevant to

position– Forward, Mid-fielder,

Goalkeeper

• Predictive team selection

Big Data in Education

Meaningful Insight• Students• Instructors• Programs• Institution

Real-time Data• Dashboards• Statistical

Analysis• Machine

Learning• Data Modeling• Data Mining

Transforming Education• Grades• Outcomes• Evidence• Life-long

Learning

Personalized Learning

So what does this mean for Education?

Big Data – US Higher Ed Problem

Student Retention

• First year attrition rates exceed 25%

• Some states reach 40%

• Only 1 in 2 students ever complete a degree

Degree Completio

n

• 75% students are non- traditional

• 40% students are not academically prepared

• 40% are part time

Time to Degree

• 60% FT students complete 4 yr Bachelor’s within 8 yrs

• 24% PT students complete 4 yr Bachelor’s within 8 yrs

• 20% take more courses than needed

Efficacy of

Higher Ed

Source: Complete College AmericaTime Is the Enemy - Summaryhttp://completecollege.org/docs/Time_Is_the_Enemy_Summary.pdf

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D2L Integrated Learning and Advanced Analytics Platform

Risk Forecasting

Predictive Modeling

What will happen?

Stage Two

ReportingDataAccess

What has happened? What is happening?

Stage One

OptimizationStrategic

What do I want to happen?

Stage Three

Advanced Predictive

Advanced Adaptive

What do you want to happen for you??

Stage Four

ILP - Analytics Capability and Maturity Model

InsightsTM Assessment Reports Module

InsightsTM Achievement Reports Module

Desire2Learn Degree CompassTM

“Our primary motivation for deploying Degree Compass was to respond to the unique success and retention needs of our complex student population.” Dr. Tristan Denley | Austin Peay State University | Higher Ed, Tennessee, US

InsightsTM Student Success System Module

“The Risk Quadrant and Sociogram give us an incredibly different viewpoint on how our students our trending – much more discretely that we can do in our own minds.” Rick Tanski | Academy Online High School | K-12, Colorado, US

Adaptive Learning

• Knowillage LeaP• Adaptive learning engine• Personalized learning experienceWhat if textbooks could learn . . . from you?

Analytics Driving Student Success

Degree Compass™

Student Success

While student is in the course

Before student is even in the course

Text Analytics

• Semantic learning• Data mining analysis• Examples:

– Survey responses– Customer feedback– Journals and publications– Discussion forums– Email threads

Text Analytics

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Michael Moore, MSCISSr. Advisory Consultant - AnalyticsDirect 888.772.0325 x6604Twitter: @MikeMooreD2LMichael.Moore@Desire2Learn.com

Let the dataset change your mindset.