Predicting student progress, optimizing classes schedules

Exploiting the power of EventAI in transforming event-based data into a meaningful machine-learning algorithm input, we were able to predict finishing times of course’s online chunks for a given student. EventAI, with the ease of declaring features and aggregation functions, made the feature engineering process simpler, less prone to errors and easy to control. Having the predictions, we were able to optimise offline classes schedule, improve classes occupancies and reduce students waiting time.