Eric Brewe

Academic institutions are increasingly adopting active learning methods to enhance educational outcomes. Using functional magnetic resonance imaging (fMRI), we investigated neurobiological differences between active learning and traditional lecture-based approaches in university physics education. Undergraduate students enrolled in an introductory physics course underwent an fMRI session before and after a 15-week semester. Coactivation pattern (CAP) analysis was used to examine the temporal dynamics of brain states across different cognitive contexts, including physics conceptual reasoning, physics knowledge retrieval, and rest. CAP results identified seven distinct brain states, with contributions from frontoparietal, somatomotor, and visuospatial networks. Among active learning students, physics learning was associated with increased engagement of a somatomotor network, supporting an embodied cognition framework, while lecture-based students demonstrated stronger engagement of a visuospatial network, consistent with observational learning. These findings suggest significant neural restructuring over a semester of physics learning, with different instructional approaches preferentially modulating distinct patterns of brain dynamics.

This study uses an initial attitudinal survey and a subsequent follow-up survey to assess which qualities are correlated with the persistence of women in physics. The initial survey was given to participants at the Conference for Undergraduate Women and Gender Minorities in Physics, and the follow-up survey was given years later, after they graduated; 478 matched surveys were used in this work. Using these surveys, we study how attitudes correlate with retention. First, we examine whether affective factors, mainly situated in identity theory, have any clear correlation with persistence in physics. Then, we study individual questions of the survey, such as a student’s interest in research specifically, to determine more fine-grained correlations with retention. Both of these were examined using analyses of variance (ANOVAs) with post hoc Tukey tests. From studying the overarching factors, we find that respondents who remained in physics after completing their bachelor’s degree reported higher interest than respondents who left physics at earlier points, with a medium effect size. We also find small evidence of associations between sense of belonging and correlation; respondents who leave physics before obtaining a bachelor’s degree tend to have a higher sense of belonging than other groups, while respondents who stay in physics until graduating, then leave for another science, technology, engineering, and mathematics field tend to have a lower sense of belonging. This association, however, shows a small effect size and should be examined more carefully to draw definitive conclusions. We find that identity, perceived recognition, performance competence, success mindset, and sense of community show no significant correlation with long-term persistence. When examining individual questions, we find that people who remain in physics tend to have a higher interest specifically in research, as well as career aspirations of going to graduate school and becoming a professor in physics.

This project aims to understand physics faculty responses to transitioning to online teaching during the COVID-19 pandemic. We surveyed 662 physics faculty from the United States following the Spring 2020 term; of these, 258 completed a follow-up survey after the Fall 2020 term. We used natural language processing to measure the sentiment scores of 364 Spring 2020 responses and another 134 Fall 2020 responses of physics faculty who completed an optional written prompt. Additionally, we determined the change in sentiment scores of the 100 individuals who responded to both surveys. These sentiment scores measured between -1 and 1 for completely negative and completely positive, respectively. Sentiment scores after Spring 2020 were slightly positive with a median value of 0.2347. The distribution of sentiment changes was approximately normally distributed with a mean centered near zero. Analysis suggests the average sentiment did not change from the initial to follow-up surveys. To identify major topics within the responses for both surveys, latent Dirichlet allocation analysis was applied to the data. The topic distribution for the initial survey is given as course modifications and technology, negative aspects of the transition -primarily with labs and cheating, exam and evaluation difficulties, and difficulties with student understanding. The topics were noticeably different in the follow-up survey with differences between Fall and Spring, cooperative learning strategies, strategies that worked in the remote space, and benefits of in -person labs.

Attentional control theory (ACT) posits that elevated anxiety increases the probability of re-allocating cognitive resources needed to complete a task to processing anxiety-related stimuli. This process impairs processing efficiency and can lead to reduced performance effectiveness. Science, technology, engineering, and math (STEM) students frequently experience anxiety about their coursework, which can interfere with learning and performance and negatively impact student retention and graduation rates. The objective of this study was to extend the ACT framework to investigate the neurobiological associations between science and math anxiety and cognitive performance among 123 physics undergraduate students.
Latent profile analysis (LPA) identified four profiles of science and math anxiety among STEM students, including two profiles that represented the majority of the sample (Low Science and Math Anxiety; 59.3% and High Math Anxiety; 21.9%) and two additional profiles that were not well represented (High Science and Math Anxiety; 6.5% and High Science Anxiety; 4.1%). Students underwent a functional magnetic resonance imaging (fMRI) session in which they performed two tasks involving physics cognition: the Force Concept Inventory (FCI) task and the Physics Knowledge (PK) task.
No significant differences were observed in FCI or PK task performance between High Math Anxiety and Low Science and Math Anxiety students. During the three phases of the FCI task, we found no significant brain connectivity differences during scenario and question presentation, yet we observed significant differences during answer selection within and between the dorsal attention network (DAN), ventral attention network (VAN), and default mode network (DMN). Further, we found significant group differences during the PK task were limited to the DAN, including DAN-VAN and within-DAN connectivity.
These results highlight the different cognitive processes required for physics conceptual reasoning compared to physics knowledge retrieval, provide new insight into the underlying brain dynamics associated with anxiety and physics cognition, and confirm the relevance of ACT theory for science and math anxiety.

Book abstract: The International Handbook of Physics Education Research: Teaching Physics covers the topics of educational technologies, learning environments, teacher education, and assessment in relation to physics education. As the field of physics education research grows, it is increasingly difficult for newcomers to gain an appreciation of the major findings across all sub-domains, discern global themes, and recognize gaps in the literature. The current volume incorporates the understanding of both physics and education concepts and provides an extensive review the literature in a wide range of important topics. The International Handbook of Physics Education Research: Teaching Physics includes: -- Various teaching perspectives including active learning, the modeling method, and teaching environments. -- Distance/online education, formative and summative assessment, and assessment in online education. -- Gender, race, and ethnicity equity. Readers will find this comprehensive treatment of the literature useful in understanding physics education research and extending to all the physical sciences including chemistry, mathematics, astronomy, and other related disciplines.

The vast majority of research involving active learning pedagogies uses passive lecture methods as a baseline. We propose to move beyond such comparisons to understand the mechanisms that make different active learning styles unique. Here, we use COPUS observations to record student and instructor activities in six known styles of active learning in physics, and use latent profile analysis to classify these observations. Latent profile analysis using two profiles successfully groups COPUS profiles into interactive lecturelike and other. Five latent profiles successfully sorts observations into interactive lecturelike, Modeling Instruction, ISLE labs, context-rich problems labs, and recitationlike or discussionlike. This analysis serves as a proof of concept, and suggests instructional differences across pedagogies that can be further investigated using this method.

This study examines survey data from 2,129 undergraduate women at the 2015 and 2019 American Physical Society Conference for Undergraduate Women in Physics (CUWiP) in order to classify what led them to study physics. We use expectancy-value and self-efficacy theory to create a coding framework based on different types of value and efficacy expectations in order to group responses. We find that the most common attractions are social persuasion, which is due to pressure or persuasion from people around the students, and intrinsic value, which is related to the inherent value of engaging in physics.

We analyze the results of two surveys administered to a Faculty Online Learning Community teaching a common physics curriculum designed primarily for pre-service elementary teachers. We use Social Network Analysis to represent the faculty network and compare members' closeness, a measure of how closely connected a person is with every other person in their network, to their reported experience in the community. We find that participants' self-efficacy, as well as their teaching and sense of benefitting from the community, are predictors of their centrality in the network as measured by closeness with other participants.

Even though student-centered instruction leads to positive student outcomes, direct instruction methods are still prevalent. Multiple barriers prevent faculty from further adopting evidence-based student-centered practices and holistic approaches to faculty support are necessary to promote faculty change. The Collaborative for Institutionalizing Scientific Learning (CISL) is an HHMI-funded program to reform undergraduate science and mathematics education at a large Hispanic-Serving public research university. The program has established a Faculty Scholar support model to impact the number of science and mathematics faculty using evidence-based practices in their classrooms. Through this program, Scholars are selected to undertake a transformation of a course of their choice and conduct an assessment of the impact of the reform on students-while receiving multiple supports including summer salary, undergraduate Learning Assistants, professional development, course assessment and education research support, and opportunities to develop manuscripts on their course transformations. CISL has supported over 40 Faculty Scholars in the transformation of both introductory and upper division biology, chemistry, physics and mathematics courses. Faculty are motivated to transform a course due to factors related to their own experiences and beliefs, their students' needs, the course structure, and/or departmental elements. Quantitative analysis of the impact of the project on student success show that, overall, students in CISL-supported courses have higher passing rates compared to students in traditional classrooms. Survey and interviews of Faculty Scholars identified that the most valuable elements of the program were the personnel support from undergraduate Learning Assistants during reform implementation and guidance from the program's Assistant Director during design, implementation and evaluation. The CISL program provides an example of significant effort sustained over several years to systematically improve the quality and culture of undergraduate education in a large research-intensive Hispanic Serving Institution. The program has had an overall positive impact on the professional development of Faculty Scholars and led to an increase in the number of STEM courses implementing evidence-based teaching practices, thus, taking a step towards solidifying a culture of evidence-based instructional strategies in STEM departments. The online version contains supplementary material available at 10.1186/s40594-022-00353-z.