Posts tagged analytics
Five Advising Skills Needed When Adopting Artificial Intelligence in Student Services

Artificial Intelligence (AI) is coming to Higher Ed and it is going to impact several areas of the university, especially student services.  AI will not replace advisors, but it will require tapping into a different skill set.  This is an exciting thing as I believe AI will allow advisors and student support staff to focus on what they love most – transforming students. Academic Advisors and student support staff are, by nature, motivated to support others succeed. Unfortunately, when you

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The Retention Dilemma with Graduate Programs

When you think about student attrition, is it ever in the context of graduate school? Probably not, but you should.  Undergrad retention rates hover around 50% and the same goes for masters and doctoral students. Colleges and Universities are more focused on their undergraduate attrition than what is happening in their graduate programs.   I had the fortunate circumstance of attending the Annual Meeting for the Conference of Southern Graduate Schools in early March (which, by the way, is a fantastic

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How to Select Retention Software

If you are supporting students in higher ed then you likely could benefit from one of the many solutions currently available.  A great retention solution will do a couple of critical things for student success: Get the right student information in the right hands at the right time Eliminate grunt work so your focus is on quality student support Whether your first-year retention is 90% or 60%, student advising and engagement is vital to the health of a university.  You

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Great Conference…Now What?

If you work in Higher Education, it is fairly plausible you have attended a conference (or considered doing so) in the past few weeks. It seems that “conference season” generally happens between the months of September and November. While there are a few outliers in April and others, a vast majority of sessions happen in this time period. If your anything like me, conferences can be a bit overwhelming. An endless amount of ideas, and practices are shared. Some you

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Now I’m worried about the DRAIN, not the DRIP

References to “data rich, information poor” (DRIP) syndrome are ubiquitous; a quick Google search returns articles addressing DRIP in numerous disciplines including education, health care, and water quality management. Organizations suffering from DRIP find themselves awash in data—quantifiable facts and statistics—but lacking information—knowledge obtained through analysis of these data. Universities and colleges are avoiding DRIP by employing data management procedures that result in consumable, aggregated information. These activities may be the responsibility of an internal office, contracted to an external

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