Although predicted to be a dynamic and revolutionary force for change, early e-learning results failed to live up to expectations. In a search to improve the situation, interest in blended learning strategies (e.g., classroom instruction and online learning) has been growing with the aim for...

We present a framework for active inference, the selective acquisition of labels for cases at prediction time in lieu of using the estimated labels of a predictive model. The framework generalizes prior work on prediction time label acquisition. We develop techniques within this active inference...