To Avoid Nasty Surprises, Higher Ed Turns To Prediction
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Melanie Rodier
Melanie Rodier,
User Rank: Apprentice
1/29/2013 | 4:08:06 PM
re: To Avoid Nasty Surprises, Higher Ed Turns To Prediction
It would be interesting to see how effective the extra tutoring, stress management etc is at retaining the students who are deemed to be at high risk of leaving. Maybe these students are looking for a type of instruction/flexibility/etc etc that their current university can't provide, no matter how much tutoring and other "traditional' programs they are offered, and universities as a result still need to look out-of-the-box to meet their students' needs.
User Rank: Apprentice
1/29/2013 | 1:32:07 AM
re: To Avoid Nasty Surprises, Higher Ed Turns To Prediction
I can't resist: Does the University of Kentucky model factor in the cast of one-and-done basketball players?
User Rank: Strategist
1/29/2013 | 1:07:39 AM
re: To Avoid Nasty Surprises, Higher Ed Turns To Prediction
I would urge more analytics -- and more staff training. It's surprising at Taylor U. that faculty and staff identified 13% of potential dropouts in 2011, while an associate registrar's modeling program, 90%. That's testimony to the power of numbers. It's also possible, since he was using 2011 data in 2012, his analytics program's data was more complete than any one staff member's knowledge during the year of 2011. Charlie Babcock, editor at large, InformationWeek
D. Henschen
D. Henschen,
User Rank: Author
1/28/2013 | 3:54:44 PM
re: To Avoid Nasty Surprises, Higher Ed Turns To Prediction
Analytics certainly isn't new to higher ed, but it's becomming more afforadable and accessible to smaller and non-elite schools. The Harvards and Yales of this world can be selective about who they let in and, as a result, their student retention rates are super high. Smaller colleges and universities and state institutions that have mandates to serve a cross-section of state residents are having real trouble with both enrollment and retention. What's more, schools can't just lower standards to fill seats as they'll risk their reputations. The only answer is working smarter and spotting student needs and risks sooner with the aid of data-driven analysis.

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