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  1. Abstract Background

    An instructor’s conceptions of teaching and learning contribute to the establishment of learning environments that may benefit or hinder student learning. Previous studies have defined the continuum of teaching and learning conceptions, ranging from limited to complete, as well as the instructional practices that they help to inform (instructor-centered to student-centered), and the corresponding learning environments that these conceptions and practices establish, ranging from traditional to student-centered. Using the case of one STEM department at a research-intensive, minority serving institution, we explored faculty’s conceptions of teaching and learning and their resulting instructional practices, as well as uncovered their perspectives on the intradepartmental faculty interactions related to teaching. The study participants were drawn from both teaching-focused (called Professors of Teaching, PoTs) and traditional research (whom we call Research Professors, RPs) tenure-track faculty lines to identify whether differences existed amongst these two populations. We used interviews to explore faculty conceptions and analyzed syllabi to unveil how these conceptions shape instructional environments.

    Results

    Overall, PoTs exhibited complete conceptions of teaching and learning that emphasized student ownership of learning, whereas RPs possessed intermediate conceptions that focused more on transmitting knowledge and helping students prepare for subsequent courses. While both PoTs and RPs self-reported the use of active learning pedagogies, RPs were more likely to also highlight the importance of traditional lecture. The syllabi analysis revealed that PoTs enacted more student-centered practices in their classrooms compared to RPs. PoTs appeared to be more intentionally available to support students outside of class and encouraged student collaboration, while RPs focused more on the timeliness of assessments and enforcing more instructor-centered approaches in their courses. Finally, the data indicated that RPs recognized PoTs as individuals who were influential on their own teaching conceptions and practices.

    Conclusions

    Our findings suggest that departments should consider leveraging instructional experts who also possess a disciplinary background (PoTs) to improve their educational programs, both due to their student-centered impacts on the classroom environment and positive influence on their colleagues (RPs). This work also highlights the need for higher education institutions to offer appropriate professional development resources to enable faculty to reflect on their teaching and learning conceptions, aid in their pedagogical evolution, and guide the implementation of these conceptions into practice.

     
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  2. McFarland, Jenny (Ed.)
    Many science, technology, engineering, and math (STEM) community college students do not complete their degree, and these students are more likely to be women or in historically excluded racial or ethnic groups. In introductory courses, low grades can trigger this exodus. Implementation of high-impact study strategies could lead to increased academic performance and retention. The examination of study strategies rarely occurs at the community college level, even though community colleges educate approximately half of all STEM students in the United States who earn a bachelor’s degree. To fill this research gap, we studied students in two biology courses at a Hispanic-serving community college. Students were asked their most commonly used study strategies at the start and end of the semester. They were given a presentation on study skills toward the beginning of the semester and asked to self-assess their study strategies for each exam. We observed a significantly higher course grade for students who reported spacing their studying and creating drawings when controlling for demographic factors, and usage of these strategies increased by the end of the semester. We conclude that high-impact study strategies can be taught to students in community college biology courses and result in higher course performance. 
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  3. Abstract Background

    The University of California system has a novel tenure-track education-focused faculty position called Lecturer with Security of Employment (working titles: Teaching Professor or Professor of Teaching). We focus on the potential difference in implementation of active-learning strategies by faculty type, including tenure-track education-focused faculty, tenure-track research-focused faculty, and non-tenure-track lecturers. In addition, we consider other instructor characteristics (faculty rank, years of teaching, and gender) and classroom characteristics (campus, discipline, and class size). We use a robust clustering algorithm to determine the number of clusters, identify instructors using active learning, and to understand the instructor and classroom characteristics in relation to the adoption of active-learning strategies.

    Results

    We observed 125 science, technology, engineering, and mathematics (STEM) undergraduate courses at three University of California campuses using the Classroom Observation Protocol for Undergraduate STEM to examine active-learning strategies implemented in the classroom. Tenure-track education-focused faculty are more likely to teach with active-learning strategies compared to tenure-track research-focused faculty. Instructor and classroom characteristics that are also related to active learning include campus, discipline, and class size. The campus with initiatives and programs to support undergraduate STEM education is more likely to have instructors who adopt active-learning strategies. There is no difference in instructors in the Biological Sciences, Engineering, or Information and Computer Sciences disciplines who teach actively. However, instructors in the Physical Sciences are less likely to teach actively. Smaller class sizes also tend to have instructors who teach more actively.

    Conclusions

    The novel tenure-track education-focused faculty position within the University of California system represents a formal structure that results in higher adoption of active-learning strategies in undergraduate STEM education. Campus context and evolving expectations of the position (faculty rank) contribute to the symbols related to learning and teaching that correlate with differential implementation of active learning.

     
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  4. Feldon, David (Ed.)
    The Classroom Observation Protocol for Undergraduate STEM (COPUS) provides descriptive feedback to instructors by capturing student and instructor behaviors occurring in the classroom. Due to the increasing prevalence of COPUS data collection, it is important to recognize how researchers determine whether groups of courses or instructors have unique classroom characteristics. One approach uses cluster analysis, highlighted by a recently developed tool, the COPUS Analyzer, that enables the characterization of COPUS data into one of seven clusters representing three groups of instructional styles (didactic, interactive, and student centered). Here, we examine a novel 250 course data set and present evidence that a predictive cluster analysis tool may not be appropriate for analyzing COPUS data. We perform a de novo cluster analysis and compare results with the COPUS Analyzer output and identify several contrasting outcomes regarding course characterizations. Additionally, we present two ensemble clustering algorithms: 1) k-means and 2) partitioning around medoids. Both ensemble algorithms categorize our classroom observation data into one of two clusters: traditional lecture or active learning. Finally, we discuss implications of these findings for education research studies that leverage COPUS data. 
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  5. null (Ed.)
    To understand instruction during the spring 2020 transition to emergency distance learning (EDL), we surveyed a sample of instructors teaching undergraduate EDL courses at a large university in the southwest. We asked them how frequently they used and how confident they were in their ability to implement each of nine promising practices, both for their spring 2020 EDL course and a time when they previously taught the same course face-to-face (F2F). Using latent class analysis, we examined how behavioral frequencies and confidence clustered to form meaningful groups of instructors, how these groups differed across F2F and EDL contexts, and what predicted membership in EDL groupings. Results suggest that in the EDL context, instructors fell into one of three profiles in terms of how often they used promising practices: Highly Supportive, Instructor Centered, and More Detached. When moving from the F2F to EDL context, instructors tended to shift “down” in terms of their profile—for example, among F2F Highly Supportive instructors, 34% shifted to the EDL Instructor Centered profile and 30% shifted to the EDL More Detached Profile. Instructors who reported lower self-efficacy for EDL practices were also more likely to end up in the EDL More Detached profile. These results can assist universities in understanding instructors' needs in EDL, and what resources, professional development, and institutional practices may best support instructor and student experiences. 
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