The assessment of mutagenicity is essential in drug discovery, as it may lead to cancer and germ cells damage. Although in silico methods have been proposed for mutagenicity prediction, their ...

Active machine learning is widely used in computational studies where repeated numerical simulations can be conducted on high performance computers without human intervention. But translation of these ...

According to an international team of educators, active learning methods, such as problem-based learning, project-based learning, and challenge-based learning are necessary to provide engineering ...

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 ...

Objectives Active learning strategies, including case-based learning (CBL), problem-based learning (PBL) and team-based ...

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 ...

Engaging students through interactive activities, discussions, feedback, and AI-enhanced technologies resulted in improved academic performance compared to traditional lectures, lessons, or readings, ...