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 strategies engage students in the learning process, fostering deeper understanding and retention. By encouraging participation, collaboration, and critical thinking during classroom ...

The COVID-19 pandemic has resulted in widespread disruptions to traditional schooling and has led to renewed interest in evaluating the best and most effective approaches to teaching and learning. In ...

A Chinese research team wrote a review article on deep active learning, an increasingly popular method of combining active learning with deep learning for sample selection in the training of neural ...

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...