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Subtitle www.Desire2Learn.com Future of Predictive Analytics in Education IGNITE Regional User Forum

Desire2Learn Insights Sampler

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A few of the slides from the Desire2Learn Regional User Forum presentation: "Importance of Predictive Analytics in Education"

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Page 1: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

Future of Predictive Analytics in Education

IGNITE Regional User Forum

Page 2: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

Analytics Primer

What is this thing called Analytics?

– Using statistical analysis to discover or derive meaningful insight from the data we generate • 2.5 quintillion bytes of data were produced every day in 2012• 90% of the data in the world today has been created in the last two

years alone

– Data generated from many different sources – Data can be about any subject matter

Page 3: Desire2Learn Insights Sampler

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www.Desire2Learn.com

Analytics Primer

What is Predictive Analytics then?

– Using statistical analysis, machine learning, data modeling and data mining to discover or derive meaningful insight from the data we generate • Historical and current data • Make predictions about future behaviors or otherwise unknown events• Exploit patterns found in big data to identify risks and opportunities in

a given subject matter

Page 4: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

Analytics Primer

So what does this mean for Education?

– Using statistical analysis, machine learning, data modeling and data mining to discover or derive meaningful insight from the data students, instructors and institutions generate • Historical and current data

– Data generated from students, courses, programs, instructors, etc.

• Make predictions about future behaviors or otherwise unknown events– Who is at risk to drop out? Who is best to recruit? What is the best delivery

methodology for a course?

• Exploit patterns found in big data to identify risks and opportunities in a given subject matter

– Which students will not graduate? Which students take too long to graduate?

Page 5: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

Analytics Primer

What kinds of data are in Education?– Learning and academic data within and across

institutions• Engagement

– Enrollments, Withdrawals, Logins, Tools Usage, Course Access, Content Access, Social Learning

• Learning Outcomes– Competencies, Learning Objectives, Course Outcomes, Program

Outcomes

• Assessments– Grades, Quiz Analysis, Surveys, Rubrics, Risk Analysis

Page 6: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

Predictive Analytics

What areas of Education will benefit?– Institutional effectiveness

• Ability to respond to funding reform changes• Enable new approach to recruitment and retention

strategies• Proactive course content and delivery modifications

– Student Success• Improve first year retention rates• Tailor or target course and degree pathways for

students• In-flight course analytics to improve success

Page 7: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

Predictive Analytics WorkflowUnderstand the Problem

Review Assessment of Data

Deliver Prescriptive Solution

Interrogate Raw Data

Track the Success

Page 8: Desire2Learn Insights Sampler

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www.Desire2Learn.com

Educate. Motivate. Graduate. Real-time, personalized academic progression and monitoring tool

– Course is active or in-progress– Student is active within the course

Predictive across key learning domains

– Course and Content Access– Social Learning/Engagement– Grades– Preparedness– Completion

Page 9: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

At Risk Does Not Mean Alone

Predictive tool assists Instructors to– Quickly and easily identify academically

at-risk, disengaged or isolated students– Understand key learning issues on a

per course and per student basis– Develop personalized learning strategies– Target prescriptive resolution

Ongoing advisement and planning tool for both students and instructors

• Continuous feedback and improvement for adaptive learning• Minimize any opportunity for failure

Page 10: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.comDesire2Learn Internal Use Only

Right Student. Right Course. First Time.Degree Compass uses predictive analytics to

– Provide grade prediction based on historical success and student’s capabilities

– Presents ranked list of courses relevant to the student’s degree pathway

Student retention, graduation, time-to-degree completion • More informed course choices leads to successful course

completion– Minimizes attrition, credit creep and time-to-degree – Maximizes degree completion opportunity

Page 11: Desire2Learn Insights Sampler

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www.Desire2Learn.com

Degree Compass and Student Success

Degree Compass

Student Success

While student is in the course

Before student is even in the course

Page 12: Desire2Learn Insights Sampler

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www.Desire2Learn.com

Info

rmati

on V

alue

Insight

Analytics Maturity Levels

Page 13: Desire2Learn Insights Sampler

Subtitle

www.Desire2Learn.com

Let’s transform teaching and learning, together.

For more information:Call us at 1.888.772.0325 www.Desire2Learn.com [email protected]