Abstract Machine learning (ML) provides a powerful framework for the analysis of high‐
dimensional datasets by modelling complex relationships, often encountered in modern …

Advancing the field of discipline-based education research (DBER) requires developing
theories based on outcomes that integrate across multiple methodologies. Here, we …

Active-learning pedagogies often require group work. We tested aspects of forming groups
in a nonmajors Biology class. We asked whether large or small groups affected student …

Background Active learning supports student performance, but can be challenging to
implement in large courses. The Learning Assistant (LA) Program is a growing intervention …

This study explores the relationship between political polarization, measured as pro-
administration and opposition support, and vulnerability to online misinformation through a …

Vaccines are an important and societally relevant biology topic, but it is unclear how much
college biology students know about how vaccines work and what inaccurate ideas they …

To enhance equity and diversity in undergraduate biology, recent research in biology
education focuses on best practices that reduce learning barriers for all students and …

This study examines whether including more contextual information in data analysis could
improve our ability to identify the relation between students' online learning behavior and …

This study assessed the impact of an “active learning” strategy employed alone or in
combination with traditional lectures on the learning of mammalian physiology by …

We developed labs on the evolution of antibiotic resistance to assess the costs and benefits
of replacing traditional laboratory exercises in an introductory biology course for majors with …