CASE STUDY: The use of Blackboard Predict in UMBC's Student Success Support Ecosystem

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By Robert Carpenter, John Fritz, and Tom Penniston

 

SUMMARY

In FA17, UMBC validated Blackboard Predict against a homegrown First Year Intervention (FYI) alert program, which asks faculty (at midterm) to identify freshmen and transfer students at risk of earning a final grade of D or F (https://lrc.umbc.edu/alerts). While faculty FYI participation rates have varied over time, typically about 55% of those who receive an FYI Alert earn a C or better final grade. We compared SP17 Bb Predict and FYI results, to see if using both could help us intervene with any at-risk undergraduates earlier in a term, when they have more time to turn around poor performance.

 

Institutional Success Tour One-Pager from the 2018 Blackboard Analytics Symposium

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