In bioinformatics, using unlabeled data to augment supervised learning can reduce development costs for many machine learning (ML) applications that would otherwise require large amounts of annotation ...

It has been shown that active learning methods are more effective than traditional lecturing at improving student conceptual understanding and reducing failure rates in undergraduate physics courses.