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Future of Predictive Analytics in Education
IGNITE Regional User Forum
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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
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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
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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?
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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
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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
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Predictive Analytics WorkflowUnderstand the Problem
Review Assessment of Data
Deliver Prescriptive Solution
Interrogate Raw Data
Track the Success
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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
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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
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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
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Degree Compass and Student Success
Degree Compass
Student Success
While student is in the course
Before student is even in the course
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Info
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alue
Insight
Analytics Maturity Levels
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Let’s transform teaching and learning, together.
For more information:Call us at 1.888.772.0325 www.Desire2Learn.com [email protected]