Abstract Here, we systematically review research on teaching knowledge in the context of undergraduate STEM education, with particular attention to what this research reveals about knowledge that is important for evidence-based teaching. Evidence-based teaching can improve student outcomes in undergraduate STEM education. However, the enactment of promising evidence-based teaching strategies depends greatly on the instructor and potentially on the teaching knowledge they are able to deploy. The review includes an overview of prevalent teaching knowledge theory, including pedagogical content knowledge, mathematical knowledge for teaching, and pedagogical knowledge. We compare and contrast teaching knowledge theory and terminology across STEM disciplines in order to build bridges for researchers across disciplines. Our search for peer-reviewed investigations of teaching knowledge in undergraduate science, engineering and mathematics yielded 45 papers. We examined the theoretical frameworks used in each study and analyzed study approaches, comparing across disciplines. Importantly, we also synthesized findings from research conducted in the context of evidence-based teaching. Overall, teaching knowledge research is sparse and siloed by discipline, and we call for collaborative work and better bridge-building across STEM disciplines. Though disciplinary divergences are common in discipline-based education research, the effect is magnified in this research area because the theoretical frameworks are themselves siloed by discipline. Investigations of declarative knowledge were common, and we call for increased attention to knowledge used in the practice of teaching. Finally, there are not many studies examining teaching knowledge in the context of evidence-based teaching, but the existing work suggests that components of pedagogical content knowledge, pedagogical knowledge, and content knowledge influence the implementation of evidence-based teaching. We describe implications for future teaching knowledge research. We also call on those who develop and test evidence-based strategies and curriculum to consider, from the beginning, the teaching knowledge needed for effective implementation.
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Bauerle, Cynthia (Ed.)Most science, technology, engineering, and mathematics (STEM) departments inadequately evaluate teaching, which means they are not equipped to recognize or reward effective teaching. As part of a project at one institution, we observed that departmental chairs needed help recognizing the decisions they would need to make to improve teaching evaluation practices. To meet this need, we developed the Guides to Advance Teaching Evaluation (GATEs), using an iterative development process. The GATEs are designed to be a planning tool that outlines concrete goals to guide reform in teaching evaluation practices in STEM departments at research-intensive institutions. The GATEs are grounded in the available scholarly literature and guided by existing reform efforts and have been vetted with STEM departmental chairs. The GATEs steer departments to draw on three voices to evaluate teaching: trained peers, students, and the instructor. This research-based resource includes three components for each voice: 1) a list of departmental target practices to serve as goals; 2) a characterization of common starting places to prompt reflection; and 3) ideas for getting started. We provide anecdotal examples of potential uses of the GATEs for reform efforts in STEM departments and as a research tool to document departmental practices at different time points.more » « less
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Abstract Background STEM instructors who leverage student thinking can positively influence student outcomes and build their own teaching expertise. Leveraging student thinking involves using the substance of student thinking to inform instruction. The ways in which instructors leverage student thinking in undergraduate STEM contexts, and what enables them to do so effectively, remains largely unexplored. We investigated how undergraduate STEM faculty leverage student thinking in their teaching, focusing on faculty who engage students in work during class.
Results From analyzing interviews and video of a class lesson for eight undergraduate STEM instructors, we identified a group of instructors who exhibited high levels of leveraging student thinking (high-leveragers) and a group of instructors who exhibited low levels of leveraging student thinking (low-leveragers). High-leveragers behaved as if student thinking was central to their instruction. We saw this in how they accessed student thinking, worked to interpret it, and responded in the moment and after class. High-leveragers spent about twice as much class time getting access to detailed information about student thinking compared to low-leveragers. High-leveragers then altered instructional plans from lesson to lesson and during a lesson based on their interpretation of student thinking. Critically, high-leveragers also drew on much more extensive knowledge of student thinking, a component of pedagogical content knowledge, than did low-leveragers. High-leveragers used knowledge of student thinking to create access to more substantive student thinking, shape real-time interpretations, and inform how and when to respond. In contrast, low-leveragers accessed student thinking less frequently, interpreted student thinking superficially or not at all, and never discussed adjusting the content or problems for the following lesson.
Conclusions This study revealed that not all undergraduate STEM instructors who actively engage students in work during class are also leveraging student thinking. In other words, not all student-centered instruction is student-thinking-centered instruction. We discuss possible explanations for why some STEM instructors are leveraging student thinking and others are not. In order to realize the benefits of student-centered instruction for undergraduates, we may need to support undergraduate STEM instructors in learning how to learn from their teaching experiences by leveraging student thinking.
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There has been a recent push for greater collaboration across the science, technology, engineering, and mathematics (STEM) fields in discipline-based education research (DBER). The DBER fields are unique in that they require a deep understanding of both disciplinary content and educational research. DBER scholars are generally trained and hold professional positions in discipline-specific departments. The professional societies with which DBER scholars are most closely aligned are also often discipline specific. This frequently results in DBER researchers working in silos. At the same time, there are many cross-cutting issues across DBER research in higher education, and DBER researchers across disciplines can benefit greatly from cross-disciplinary collaborations. This report describes the Breaking Down Silos working meeting, which was a short, focused meeting intentionally designed to foster such collaborations. The focus of Breaking Down Silos was institutional transformation in STEM education, but we describe the ways the overall meeting design and structure could be a useful model for fostering cross-disciplinary collaborations around other research priorities of the DBER community. We describe our approach to meeting recruitment, premeeting work, and inclusive meeting design. We also highlight early outcomes from our perspective and the perspectives of the meeting participants.more » « less
