Undergraduate-level biology students' application of central dogma to understand COVID mRNA vaccines.

The coronavirus disease 2019 (COVID-19) pandemic has underscored the importance of mRNA vaccines. The mechanism for how such vaccines work is related to the core biology topic of the central dogma, which students often misunderstand despite its importance. Therefore, we wanted to know whether students can apply their biology knowledge of central dogma to the real-world issue of how mRNA COVID vaccines work. Accordingly, we asked college biology students of different expertise levels how the COVID vaccine worked. Later, we cued them by telling them the vaccine contains mRNA and asked them what the mRNA does. We used thematic analysis to find common ideas in their responses. In the uncued condition, fewer than half of the students used central dogma-related ideas to explain what was in the vaccine or how the vaccine worked. Inaccurate ideas were present among all groups of biology students, particularly entering biology majors and non-biology majors, including the idea that the COVID vaccines contain a weakened, dead, or variant form of the COVID virus. After students were cued, many more students in all expertise groups expressed central dogma-related themes, showing that students could apply the knowledge of central dogma if prompted. Advanced biology majors were much more likely to state that the vaccines code for a viral protein, indicating their advanced application of central dogma concepts. These results highlight inaccurate ideas common among students and show changes in the ability to apply knowledge with student expertise level, which could inform future interventions to support student learning about vaccines and central dogma.

What College Biology Students Know about How Vaccines Work.

Vaccines are an important and societally relevant biology topic, but it is unclear how much college biology students know about how vaccines work and what inaccurate ideas they have about that process. Therefore, we asked more than 600 college students taking biology courses at various levels to explain, "How does a vaccine work?" in a free-response format. Based on authoritative sources and responses from immunology and other biology faculty, we created a rubric to gauge the basic knowledge and accuracy present in student responses. Basic knowledge was defined as knowing that vaccines mimic the pathogen, elicit an active immune response, and provide protection against future infection. Accuracy was defined as the absence of scientifically inaccurate ideas. We found that advanced biology majors score significantly higher in basic knowledge and accuracy when compared with all other student groups, but there were no differences between entering biology majors, pre-health majors, and non-pre-health majors. We also uncovered a variety of inaccurate ideas, with the most common being that vaccines contain the original, unmodified pathogen. These results provide a new way to gauge college student understanding of how a vaccine works and enrich our understanding of what college students know about this process.

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.

Collectively Improving Our Teaching: Attempting Biology Department-wide Professional Development in Scientific Teaching.

Many efforts to improve science teaching in higher education focus on a few faculty members at an institution at a time, with limited published evidence on attempts to engage faculty across entire departments. We created a long-term, department-wide collaborative professional development program, Biology Faculty Explorations in Scientific Teaching (Biology FEST). Across 3 years of Biology FEST, 89% of the department's faculty completed a weeklong scientific teaching institute, and 83% of eligible instructors participated in additional semester-long follow-up programs. A semester after institute completion, the majority of Biology FEST alumni reported adding active learning to their courses. These instructor self-reports were corroborated by audio analysis of classroom noise and surveys of students in biology courses on the frequency of active-learning techniques used in classes taught by Biology FEST alumni and nonalumni. Three years after Biology FEST launched, faculty participants overwhelmingly reported that their teaching was positively affected. Unexpectedly, most respondents also believed that they had improved relationships with departmental colleagues and felt a greater sense of belonging to the department. Overall, our results indicate that biology department-wide collaborative efforts to develop scientific teaching skills can indeed attract large numbers of faculty, spark widespread change in teaching practices, and improve departmental relations.

Classroom sound can be used to classify teaching practices in college science courses.

Active-learning pedagogies have been repeatedly demonstrated to produce superior learning gains with large effect sizes compared with lecture-based pedagogies. Shifting large numbers of college science, technology, engineering, and mathematics (STEM) faculty to include any active learning in their teaching may retain and more effectively educate far more students than having a few faculty completely transform their teaching, but the extent to which STEM faculty are changing their teaching methods is unclear. Here, we describe the development and application of the machine-learning-derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers. DART analyzes the volume and variance of classroom recordings to predict the quantity of time spent on single voice (e.g., lecture), multiple voice (e.g., pair discussion), and no voice (e.g., clicker question thinking) activities. Applying DART to 1,486 recordings of class sessions from 67 courses, a total of 1,720 h of audio, revealed varied patterns of lecture (single voice) and nonlecture activity (multiple and no voice) use. We also found that there was significantly more use of multiple and no voice strategies in courses for STEM majors compared with courses for non-STEM majors, indicating that DART can be used to compare teaching strategies in different types of courses. Therefore, DART has the potential to systematically inventory the presence of active learning with ∼90% accuracy across thousands of courses in diverse settings with minimal effort.

Stochastic Interaction between Neural Activity and Molecular Cues in the Formation of Topographic Maps.

Topographic maps in visual processing areas maintain the spatial order of the visual world. Molecular cues and neuronal activity both play critical roles in map formation, but their interaction remains unclear. Here, we demonstrate that when molecular- and activity-dependent cues are rendered nearly equal in force, they drive topographic mapping stochastically. The functional and anatomical representation of azimuth in the superior colliculus of heterozygous Islet2-EphA3 knockin (Isl2(EphA3/+)) mice is variable: maps may be single, duplicated, or a combination of the two. This heterogeneity is not due to genetic differences, since map organizations in individual mutant animals often differ between colliculi. Disruption of spontaneous waves of retinal activity resulted in uniform map organization in Isl2(EphA3/+) mice, demonstrating that correlated spontaneous activity is required for map heterogeneity. Computational modeling replicates this heterogeneity, revealing that molecular- and activity-dependent forces interact simultaneously and stochastically during topographic map formation.

"Thinking like a Neuroscientist": Using Scaffolded Grant Proposals to Foster Scientific Thinking in a Freshman Neuroscience Course.

Learning and practicing scientific inquiry is an essential component of a STEM education, but it is often difficult to teach to novices or those outside of a laboratory setting. To promote scientific thinking in a freshmen introductory neuroscience course without a lab component, we developed a series of learning activities and assignments designed to foster scientific thinking through the use of scientific grant proposals. Students wrote three short grant proposals on topics ranging from molecular to cognitive neuroscience during a 10-week class (one quarter). We made this challenging and advanced task feasible for novice learners through extensive instructional scaffolding, opportunity for practice, and frequent peer and instructor feedback. Student and instructor reports indicate that the assignments were highly intellectually engaging and that they promoted critical thinking, a deeper understanding of neuroscience material, and effective written communication skills. Here we outline the mechanics of the assignment, student and instructor impressions of learning outcomes, and the advantages and disadvantages of implementing this approach.

Retinal input instructs alignment of visual topographic maps.

Sensory information is represented in the brain in the form of topographic maps, in which neighboring neurons respond to adjacent external stimuli. In the visual system, the superior colliculus receives topographic projections from the retina and primary visual cortex (V1) that are aligned. Alignment may be achieved through the use of a gradient of shared axon guidance molecules, or through a retinal-matching mechanism in which axons that monitor identical regions of visual space align. To distinguish between these possibilities, we take advantage of genetically engineered mice that we show have a duplicated functional retinocollicular map but only a single map in V1. Anatomical tracing revealed that the corticocollicular projection bifurcates to align with the duplicated retinocollicular map in a manner dependent on the normal pattern of spontaneous activity during development. These data suggest a general model in which convergent maps use coincident activity patterns to achieve alignment.