CASE STUDY: Early Warning Signals.  What about effective interventions, data validation, and instructional design?

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By Jan Tjeerd Groenewoud (University of Groningen)

 

SUMMARY

The University of Groningen (The Netherlands) piloted the use of Blackboard Analytics for Learn for finding early signs of study delay in students, to identify and target at risk students for (supportive) interventions. We used login exceptions, minutes spent in the LMS, and grades in the grade center to identify students at risk in the first three weeks of a given course. Both grades and login exceptions proved to be good measurements for identifying at risk students. They led to useful interventions. Whereas the minutes spend in the LMS was seen as the measurement with the lowest validity for predicting study success.

 

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

Outcomes