School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…

Recent findings in the literature on child abuse have been inconsistent and often contradictory, perhaps in part because most researchers treat child abuse as a homogeneous psycho-social phenomenon and commit the error of group averaging. One methodology which deals directly with the problem of homogeneity error is the typology approach. This…