Blackboard Predict (BB Predict) is a subscription-based predictive model designed to identify students at risk of receiving a grade of D or F in a course.  UMBC has a long partnership with...

We in DoIT know that numbers alone can’t capture the time and effort UMBC students, faculty and staff have put into coping with the disruption caused by the Coronavirus global pandemic. However,...

When DoIT announced the phased rollout of Blackboard (Bb) Ultra on April 4 of this year, we did so based on the number of courses typically using Bb in each college as of Spring 2019, starting...

Over the past three full semester terms, UMBC has implemented a predictive analytics pilot “nudge” campaign using Blackboard (Bb) Predict. Beginning in the Spring 2018 term, we selected high...

DoIT is now providing NVivo, a qualitative research software package equivalent to SPSS, Stata, SAS, or R. This software is available to all faculty, staff, and graduate students. It allows the...

In recent years, the Office of Institutional Research and Decision Support  (IRADS) has installed or built a nifty set of “bird’s eye view” reports about teaching & learning in the campus’...

Building on prior learning analytics research at UMBC, DoIT's John Fritz has co-authored "Learning Analytics Research for LMS Course Design: Two Studies" in the current issue of Educause Review...

Update from 2/1/18 Blackboard Analytics Symposium: Using Bb Predict and UMBC's FYI alert program together is more accurate than using either service alone....

As announced late last Fall, all Blackboard courses now contain the following reports powered by Bb Analytics for Learn (BA4L): FOR STUDENTS -- Available in "Tools" Menu Activity Compared to...