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What instructors say during class—beyond content—has promise for supporting students’ perceptions that they are supported, connected, and valued in the classroom, which in turn predict positive outcomes in science, technology, engineering, and mathematics (STEM) education. We studied noncontent Instructor Talk used by 56 introductory biology instructors around the United States and how it related to sense of belonging among over 4900 students in their courses. Using hierarchical linear modeling, we identified positive relationships between some—but not all—categories of Instructor Talk and belonging among students. Instructor talk aimed at building relationships with students and explaining pedagogical choices had positive relationships with students’ sense of connectedness to peers (for both) and comfort seeking instructor help (for the former), but not their comfort sharing ideas with the class. Using effect coding, we probed whether these relationships differed for students with 14 intersectional identities, including men and women from seven racial and ethnic groups. Relationships between Instructor Talk categories and components of belonging varied in their direction and magnitude for students with different intersectional identities. Findings demonstrate that even simple instructor actions—particularly language—may be meaningful to students, but we cannot assume that all students experience these actions the same way. 

ABSTRACT Active learning is a phrase that lacks clear definition, which has hampered researchers’ efforts to investigate the nuances of effectiveness and instructors’ efforts to capitalize on potential benefits for students. One way to advance our understanding of “active learning” is assessing by the type of intellectual work that in-class activities require of students. We systematically analyzed in-class work opportunities created for students in 55 introductory biology courses around the United States, each of which used active learning. We did so by adapting an observation approach grounded in the ICAP framework and analyzing classroom videos in 15-s segments. Instructors devoted about a quarter of class time to student work time, on average, but this varied widely. About half of these student work opportunities focused on recall, and half required students to generate answers beyond what had been presented to them, which can foster deeper learning and better transfer than recall alone. The ratio of these levels of intellectual work varied considerably across courses. We also tested whether course- and instructor-level factors predicted the amount and level of active-learning opportunities and found no significant relationships. This work provides a striated definition of active learning that will be useful to researchers studying active-learning outcomes and instructors aiming to harness learning benefits for their students.