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 ...

There are many designs for learning activities. Some are fairly common, such as labs, studios, and group problem-solving. Others might include complex tasks or specialized materials. You may want to ...

Students whose STEM courses are taught using active learning perform better than those taught with traditional lectures. That was the top-line finding of a widely cited 2014 meta-analysis, and it has ...