Search results for author:"Sarah Baughman"
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Technology, Knowledge and Learning Vol. 21, No. 1 (2016) pp. 21–32
Predicting which students enrolled in graduate online education are at-risk for failure is an arduous yet important task for teachers and administrators alike. This research reports on a statistical analysis technique using both static and dynamic...