Field courses provide transformative learning experiences that support success and improve persistence for science, technology, engineering, and mathematics majors. But field courses have not increased proportionally with the number of students in the natural sciences. We conducted a scoping review to investigate the factors influencing undergraduate participation in and the outcomes from field courses in the United States. Our search yielded 61 articles, from which we classified the knowledge, affect, behavior, and skill-based outcomes resulting from field course participation. We found consistent reporting on course design but little reporting on demographics, which limits our understanding of who takes field courses. Cost was the most commonly reported barrier to student participation, and knowledge gains were the most commonly reported outcome. This scoping review underscores the need for more rigorous and evidence-based investigations of student outcomes in field courses. Understanding how field courses support or hinder student engagement is necessary to make them more accessible to all students.

Graduate teaching assistants (GTAs) are often the primary instructors for undergraduate biology laboratories and serve as research mentors in course-based undergraduate research experiences (CUREs). While several studies have explored undergraduate perceptions of CUREs, no previous study has qualitatively described GTAs’ perceptions about teaching CUREs, despite the essential instructional role GTAs play. The purpose of this phenomenological study was to describe and ascribe meaning to the perceptions that GTAs have regarding benefits and challenges with instructional experiences in introductory biology CUREs. We conducted semistructured interviews with 11 GTAs instructing an introductory biology CURE at a 4-year public university. We found that, while GTAs perceived professional benefits such as experience in research mentoring and postsecondary teaching, they also described challenges, including the time required to instruct a CURE, motivating students to take ownership, and a lack of expertise in mentoring undergraduates about a copepod-based CURE. Feelings of inadequacy in serving as a research mentor and high levels of critical thinking were also cited as perceived issues. We recommend that the greater responsibility and increased time commitment perceived by GTAs in the current study warrants reconsideration by lab coordinators and administrators as to what content and practices should be included in pedagogical training specifically designed for CURE GTAs and how departmental and institutional policies may need to be adapted to better implement CUREs.

Understanding social interactions among students comprises a rich area of physics education research. Here we focus on the social interactions in introductory physics laboratories (labs). Most existing research in such contexts focuses on within-group social dynamics, however, we argue that interactions between different lab groups are just as valuable, especially in nontraditional (reformed) labs where students have more control over the experimental designs. Using video recordings of lab sessions and social network analysis methods, we examined whether and for how long groups interact with each other, comparing across three offerings of an introductory mechanics course. We observed significant variability in the interactions across lab sessions and no clear pattern in how strongly lab groups were connected in the networks between the different courses. More prolonged intergroup interactions, however, occurred in three of the four reformed lab sections, as compared to a traditional lab section and a reformed lab section that took place in the evening. We also developed a group-level social role classification scheme based on groups’ interaction patterns, identifying four roles: noninteractors, information seekers, responders, and mutual interactors. We found that groups in the traditional lab section disproportionately acted as noninteractors, indicating that many groups in this lab did not engage in intergroup interactions at all. In contrast, groups in reformed lab sections took on the remaining three roles more frequently. We also found possible relationships between the distributions of the social roles within each type of lab by the groups’ gender compositions. All-male groups took on interactive roles more often than all-female and mixed-gender groups in the reformed lab sections, but not in the traditional lab. Results indicate that the amount of time students spend on intergroup interactions may depend on the lab curriculum itself, the time of day of the section, and/or the student population of the section. Still, instructors can encourage collaboration between lab groups through direct prompts, but such prompts need to be repeated throughout the semester.

COVID‐19 presented the world with trauma and isolation, but many people, including educators, have offered bright spots of creativity and engagement. As we confronted these issues in our own ecology classroom, we sought solutions to carry‐forward the learning objectives we set for our students in January 2020, yet encourage interaction with the sensitivity that a pandemic requires. In the rapid transition to online course delivery, we opted to retain the original end‐of‐semester poster project in our introductory ecology course. However, we experimented with a new virtual platform where students could disseminate their work and communicate with the community. In this paper, we discuss the Mozilla Hubs virtual reality platform that we used for our event. We also collected qualitative data to share the benefits and challenges of this experience felt by the students, the instructors, and external observers.

Engaging in interactions with peers is important for student learning. Many studies have quantified patterns of student interactions in in-person physics courses using social network analysis, finding different network structures between instructional contexts (lecture and laboratory) and styles (active and traditional). Such studies also find inconsistent results as to whether and how student-level variables (e.g., grades and demographics) relate to the formation of interaction networks. In this cross-sectional research study, we investigate these relationships further by examining lecture and lab interaction networks in four different remote physics courses spanning various instructional styles and student populations. We apply statistical methods from social network analysis—exponential random graph models—to measure the relationship between network formation and multiple variables: students’ discussion and lab section enrollment, final course grades, gender, and race or ethnicity. Similar to previous studies of in-person courses, we find that remote lecture interaction networks contain large clusters connecting many students, while remote lab interaction networks contain smaller clusters of a few students. Our statistical analysis suggests that these distinct network structures arise from a combination of both instruction-level and student-level variables, including the learning goals of each instructional context, whether assignments are completed in groups or individually, and the distribution of gender and major of students enrolled in a course. We further discuss how these and other variables help to understand the formation of interaction networks in both remote and in-person physics courses.

Classroom assessments needed to be rapidly modified at the start of the COVID-19 pandemic, as instruction transitioned from an in-person to virtual format. Yet, a significant obstacle among instructors during this time was developing online assessments that were useful, engaging, and accessible for students.