Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis.

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. Supplementary Information: The online version contains supplementary material available at 10.1186/s40594-022-00365-9.

Effects of Remote Teaching in a Crisis on Equity Gaps and the Constructivist Learning an Environment in an Introductory Biology Course Series.

Because of the COVID-19 pandemic in March 2020, higher education institutions had to pivot rapidly to online remote learning. Many educators were concerned that the disparate impact of this crisis would exacerbate inequities in learning outcomes and student learning experiences, especially for students from minoritized backgrounds. We examined course grades and student perceptions of their learning experiences in fall (face-to-face) and spring (fully remote) quarters in an introductory biology course series at a public research university. Contrary to our hypothesis, we found that student course grades increased overall during remote learning, and equity gaps in course grades were mitigated for minoritized students. We hypothesize that instructors may have changed their grading practices to compensate for challenges in remote learning in crisis. However, spring students reported significant decreases in the amount of peer negotiation and social support, critical components of active learning. These findings suggest that remote teaching in crisis may have negatively affected student learning environments in ways that may not have been captured by grading practices.

Much ado about mice: Standard-setting in model organism research.

Recently there has been a practice turn in the philosophy of science that has called for analyses to be grounded in the actual doings of everyday science. This paper is in furtherance of this call and it does so by employing participant-observation ethnographic methods as a tool for discovering epistemological features of scientific practice in a neuroscience lab. The case I present focuses on a group of neurobiologists researching the genetic underpinnings of cognition in Down syndrome (DS) and how they have developed a new mouse model which they argue should be regarded as the "gold standard" for all DS mouse research. Through use of ethnographic methods, interviews, and analyses of publications, I uncover how the lab constructed their new mouse model. Additionally, I describe how model organisms can serve as abstract standards for scientific work that impact the epistemic value of scientific claims, regulate practice, and constrain future work.