Results for: 'machine learning'
Remote synchronous teaching and learning is here to stay, for at least one more semester. In this session, we’ll use a holistic view of active learning* to frame student engagement and promote deep learning. You’ll be asked to identify at least on...
Three faculty members discuss their recent Civic Learning (CL) courses, as a response to teaching in the pandemic, exploring challenges and surprising benefits for themselves and their students.
Dr. Annie Murray-Close provides a quick overview of the literature about active learning, with concrete examples for small changes that can have positive impacts on students' attention and retention.