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To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted intervention. To […]
The post Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data from German Universities and Machine Learning Methods first appeared on Course Strat.
eLearning as technology becomes more affordable in higher education but having a big barrier in the cost of developing its resources. Deep learning using artificial intelligence continues to become more and more popular and having impacts on many areas of eLearning. It offers online learners of the future with intuitive algorithms and automated delivery of […]
The post Deep Learning: The Impact on Future eLearning first appeared on Course Strat.