eli annual meeting tuesday, february 10 th, 2015 lindsay pineda, unicon mike sharkey, blue canary...
DESCRIPTION
Building a Predictive Model Data footprint – enough data to make a prediction What to predict (what question to answer) Inputs (what fields, from what sources) Modeling (regression, machine learning) What is the outcome we want to predict? For example, “what is the probability that a given student will pass their current class with a C grade or better”?TRANSCRIPT
ELI ANNUAL MEETINGTUESDAY, FEBRUARY 10 T H , 2015
LINDSAY PINEDA, UNICON
MIKE SHARKEY, BLUE CANARY
Retention Analytics for Student Success: An Interactive Session
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Initiating the WorkCommitment/support from leadershipDedicated resources (people, budget) Domain expertisePlanning – strategy & implementationTechnical feasibility
What resources and/or characteristics does an institution need to have in place in order to get a project like this off the
ground?
Building a Predictive Model
Data footprint – enough data to make a prediction
What to predict (what question to answer)Inputs (what fields, from what sources)Modeling (regression, machine learning)
What is the outcome we want to predict? For example, “what is the probability that a given student will
pass their current class with a C grade or better”?
InterventionWho intervenes
Faculty? Adviser? Student? Computer?How does the intervention process work?Tools/technologies to assist
Imagine we had a crystal ball that could predict student outcomes. If that crystal ball generated a list of 100
students who would not be successful in their current class, what would your
institution do with that list?
Unicon Learning Analytics Diamond
Blue Canary
• Staff with combined decades of analyzing institutional data and building software at scale
Experienced
• We aggregate the data for you and can implement a retention solution in a few monthsEfficient
• Our approach has proven results – we have shown that our retention solution improves retentionProven
• A predictive model built from your student results and then embedded into your intervention workflowsCustom
• It’s your data; we share details of the analytics and we give access to the raw dataOpen
FOR QUESTIONS/FURTHER INFORMATION, CONTACT:
LINDSAY PINEDA 480-558-2400 [email protected]
WWW.UNICON.NET
MIKE SHARKEY 602-617-4174 [email protected]
Thank you