Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Active Learning has been referred to as many things, including “project-based learning” and “flipped classes.” The fundamental premise of active learning is the replacement of passive class time with ...

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...

Active learning is not a new concept. Though coined by Bonwell and Eisen (1991), aspects of active learning can be found in studies by Piaget, Vygotsky, and Dewey*. Active Learning is a broad set of ...