For deep active learning algorithms, on the other hand, there are four kinds of strategies: uncertainty-based, distribution-based, hybrid and automatically designed.

However, incorporating active learning is easier said than done. For years, a lack of tooling and infrastructure made it difficult to facilitate active learning.

It’s Not So Simple. By Beckie Supiano November 16, 2023 iStock Students whose STEM courses are taught using active learning perform better than those taught with traditional lectures.

Active learning in large classes While active learning is a natural fit for small seminar courses, instructors facing a hundred (or more) students seated in rows designed for passive spectatorship ...