Previous studies have demonstrated that students have difficulties in applying the wave model of light to explain single-slit diffraction and double-slit interference patterns. In this study, we investigated if students could recognize typical interference and diffraction patterns at all. Eye movements of high-school students were measured while they were identifying patterns produced by monochromatic light on a double slit, single slit, and diffraction grating, and by white light on a diffraction grating. Most students had difficulties with recognizing double-slit interference pattern and diffraction grating pattern of monochromatic light. Identification of the single-slit diffraction pattern was easier probably due to its distinguishable central maximum. The easiest task for students was recognizing the diffraction pattern of white light on an optical grating. Eye-tracking data suggested that even students who incorrectly answered this question were aware that the diffraction grating separates white light into colors. Additionally, eye tracking revealed that students who identified patterns correctly attended more the correct pattern than other options, thus corroborating previous findings. Overall, the results indicate that the recognition of interference and diffraction patterns is quite demanding for students, suggesting that more attention should be paid to observing and understanding basic wave optics phenomena.

Racial or ethnic isolation may negatively impact physics graduate students’ academic and professional experience. An interview study with 16 doctoral students who were considered to be particularly at risk of such isolation found that (i) the students interviewed are mostly not the only member of their racial or ethnic group in their programs; (ii) students have diverse perceptions of who they consider to be part of their racial or ethnic group, such that their unique perspectives need to be taken into account by programs that wish to support them; and (iii) students report negative racial experiences in their programs, such as bias, expectations of service, family and financial difficulties, and political threats. Overall, these findings present both challenges and opportunities for supporting Black and Latinx physics graduate students in ways that are meaningful to them.

Quantum sensing, quantum networking and communication, and quantum computing have attracted significant attention recently, as these quantum technologies could offer significant advantages over existing technologies. In order to accelerate the commercialization of these quantum technologies, the workforce must be equipped with the necessary skills. Through a qualitative study of the quantum industry, in a series of interviews with 21 U.S. companies carried out in Fall 2019, we describe the types of activities being carried out in the quantum industry, profile the types of jobs that exist, and describe the skills valued across the quantum industry, as well as in each type of job. The current routes into the quantum industry are detailed, providing a picture of the current role of higher education in training the quantum workforce. Finally, we present the training and hiring challenges the quantum industry is facing and how higher education may optimize the important role it is currently playing.

Machine learning algorithms have recently been used to predict students’ performance in an introductory physics class. The prediction model classified students as those likely to receive an A or B or students likely to receive a grade of C, D, F or withdraw from the class. Early prediction could better allow the direction of educational interventions and the allocation of educational resources. However, the performance metrics used in that study become unreliable when used to classify whether a student would receive an A, B, or C (the ABC outcome) or if they would receive a D, F or withdraw (W) from the class (the DFW outcome) because the outcome is substantially unbalanced with between 10% to 20% of the students receiving a D, F, or W. This work presents techniques to adjust the prediction models and alternate model performance metrics more appropriate for unbalanced outcome variables. These techniques were applied to three samples drawn from introductory mechanics classes at two institutions ($N=7184$, 1683, and 926). Applying the same methods as the earlier study produced a classifier that was very inaccurate, classifying only 16% of the DFW cases correctly; tuning the model increased the DFW classification accuracy to 43%. Using a combination of institutional and in-class data improved DFW accuracy to 53% by the second week of class. As in the prior study, demographic variables such as gender, underrepresented minority status, first-generation college student status, and low socioeconomic status were not important variables in the final prediction models.

This study uses positional analysis to describe the student interaction networks in four research-based introductory physics curricula. Positional analysis is a technique for simplifying the structure of a network into blocks of actors whose connections are more similar to each other than to the rest of the network. This method describes social structure in a way that is comparable between networks of different sizes and densities and can show large-scale patterns such as hierarchy among positions. We detail one positional analysis method and apply it to class sections of Peer Instruction, SCALE-UP, ISLE, and Minnesota Model context-rich problems. At the level of detail shown in the blockmodels, most of the curricula are more alike than different, showing a late-term tendency to form coherent subgroups that communicate actively among themselves but have few interposition links. Initial position assignments tend to change from beginning to end of the term, but in cases where the initial assignment is stable, those students appear to become more connected to each other and to the largest network component. These trends in position structure and stability may be network signatures of active learning classes, but wider data collection is needed to investigate.

We present the analysis of the planetarium usage survey (PLUS), a two-part, mixed-methods initial study investigating planetarium use in the U.S. by undergraduate learners. Seventy-seven planetariums situated on college or university campuses within the U.S. completed an online survey during the fall of 2018 with 11 of those participating in online or phone interviews during the summer of 2019. Planetarium representatives described how their facilities were being used, types of subject materials that were being taught, what content styles are used, and how often learners are attending lessons in the planetarium. Results suggest that undergraduate learners in a planetarium environment are primarily novice, non-STEM (science, technology, engineering, and mathematics) majoring students, learning principally astronomy content, receiving instruction from a live presenter approximately once per month within a given course, for the purpose of receiving visualization-based scaffolding. Audience response systems like iClickers do not appear to be in widespread use in collegiate planetariums, and presented subject matter shows greater variety in planetariums with digital projector capacity as opposed to those with only analog projectors. Refinements to PLUS and future research plans are described.

We investigate the effects of guided group work sessions on graduate student performance on a quantum mechanics assessment. Data from a single large Midwestern university were taken over a five-year period, during which guided group work sessions were offered to accompany the graduate-level quantum mechanics course. Students were pre- and post-tested using a set of mostly conceptual items that we call the graduate quantum mechanics assessment. The reliability and validity of this assessment are addressed. A mixed linear model is used to analyze the dependence of post-test scores on factors such as group work attendance, pretest scores, GRE Physics scores, and others. We find a statistically significant effect of group work attendance on post-pre gains, specifically that attendance of one 60-min group work session improves performance on a related post-test item by 6.4%, administered 2–10 weeks after the session. We discuss the lack of a randomized control group and address possible confounding effects such as student self-selection, and attitudinal and motivational factors. Overall, the results of this study indicate that guided group work sessions at the graduate level can be feasible and effective. We note preliminary observations of differences in group interactions and classroom logistics compared to group work at the undergraduate level.

Female students and those with a low socioeconomic status (SES) typically score lower in assessments of self-efficacy and ability in science, technology, engineering, and mathematics (STEM). In this study, a cohort of over 200 UK students attended an intensive, active learning, physics workshop, with pre- and postassessments to measure both physics self-efficacy and physics ability before and after the workshop. Our control took the form of material that was closely related but not covered during the workshop. Students benefited from attending the workshop, as self-efficacy and ability increased significantly in the post-test, with the material not covered showing the smallest increase as expected. A significant socioeconomic attainment gap in ability was completely alleviated for questions on material covered at both secondary and upper secondary level, but not for questions on material seen at upper secondary only. In contrast, although no overall significant initial gender gap in ability was found, despite female students having a lower mean score than male students, a gender gap was alleviated for material seen only at upper secondary level. Female and low SES students’ physics ability improved more than male and high SES students’ physics ability, respectively. The workshop particularly benefited students from a mildly underperforming demographic tackling the hardest questions, or students from a significantly underperforming demographic tackling intermediate questions but not the hardest questions. The already high levels of confidence in their abilities felt by the cohort (which was boosted further by the workshop) meant that none of the demographics considered were less self-efficacious than their peers; however, the self-efficacy of female students improved more than male students, but of high SES students more than low SES students. This study provides a valuable contribution toward understanding the interaction between the extent of underperforming and question difficulty, and the features from the Bootcamp can be easily transferred to other STEM subjects.

Two set of studies were conducted to better understand grades and grading practices in physics courses, and how these might influence demographic representational disparities in physics. The first study investigates the relationships between grades and the student-level factors of standardized test scores, (binary) gender, underrepresented minority (URM) status, first generation (FG) status, citizenship status, and age of over 20 000 students enrolled in algebra-based and calculus-based introductory physics courses. Consistent with other studies, we find differences in mean grades for all of these factors, except for gender, and when standardized test scores are included in a regression model predicting grades, the demographic differences in grades decreases, though typically remain nonzero. We also find gender by test score and URM by test score interactions when predicting grades. The second study examines grade component scores, and replicates the finding that compared to men, women achieve higher scores on nonexam components and lower scores on exam components. We also find that the gap in score between URM and FG students and their counterparts is less for non-exam components than for exam components. Because of these differentials in components, we compared different models of grade components weighting and find that women and URM students differentially benefit from stronger weighting of nonexam components. While the benefit to grades is relatively small, the relative shift in percentages of grade rates of A, D, and F can have dramatic differential shifts. We also find that while exam components are moderately strongly correlated with standardized tests scores, nonexam components are not. These results suggest that grade component weighting is inevitably tied to issues of demographic equity, in the sense that altering the weights may change demographic disparities in grades and change the dependency of grades on standardized test scores. We conclude with a call for more attention to grading practices and what is rewarded in introductory physics courses.

Recruiting high-quality physics teachers for low-socioeconomic status (SES) schools is essential for ensuring equity but is challenging globally. China launched a four-year program to meet the challenge by providing free education and stipends and promising a career position to attract high-performance secondary graduates, while using a contract to constrain participants to serve 10 years as K-12 science, technology, engineering, and mathematics teachers, with the first two years in low-SES rural schools. This program had recruited more than 101 000 preservice teachers in all academic areas, and more than 90% went to teach in low-SES rural schools. In this paper, we clustered participant physics teachers according to their motivation to serve low-SES schools and commented that the use of the “carrot and stick” policy has both positive and negative effects. On one side, the preservice teachers who had higher motivation for serving low-SES communities increased their motivation significantly during the four-year professional learning; on the other side, a portion of teachers who had lower initial motivation failed to develop adequate motivation. Even though the carrot and stick model seems to achieve its established goal, we argue that the “carrot-stick” policy may need adjustment and that the implications from this preservice teacher policy are useful for developing policies in other countries.

Simulations and virtual or remote laboratories are increasingly used in schools. The extent to which individual experimental skills can be acquired when experimenting in digital applications is, however, questionable. This paper focuses on finding multimedia features for digital experiments to support the transfer of measured values from the laboratory system to a diagram. Beside physical considerations, spatial translation processes could be crucial for a successful assignment. Therefore, the influence of the subjects’ spatial ability is examined. Using a pretest post-test design ($N=119$), the effects of training with supportive animation (animation group) and training with an interactive task and feedback (interactive group) were tested. The results of both groups were each compared to those of a reference group. Eye tracking data were recorded during training to investigate the origin of different training effects. Hence, fixations and saccades during training were analyzed. For the investigation of the distribution of the saccadic movements, polar diagrams were used in combination with estimated probability density functions. The results show that the score in the pretest is correlated to the score achieved in the card rotation test, which measures the spatial rotation skills of the subjects. Further, the subjects in the interactive group benefited from the training more than the subjects in the reference group did. There were no significant differences in the effect of the training between the animation group and the reference group. Eye tracking data reveal that the training in the interactive group caused the most comparative eye movements between the laboratory system and the diagram. The training in the animation group led to the highest visual attention; however, subjects in this group concentrated on the dynamic elements. These results indicate that especially students with weak spatial skills need additional support when transferring measured values from the laboratory system to the diagram. This assignment can be practiced in computer-based experiments, in particular with an interactive training task and feedback. Additionally, the analysis showed that the training is equally suitable for learners with different spatial abilities. A corresponding task was implemented into a virtual laboratory.

In this mixed-methods study of large enrollment introductory physics service courses, I investigated students’ perception and use of online education resources as supplements to course-provided materials and activities. Specifically, I focused on the increasing use of popular free online media resources such as YouTube and Khan Academy, and fee-based textbook solution repository services such as Chegg. In the quantitative portion of this study, I surveyed students from three courses on their textbook and online resource usage and found that most students relied primarily on online resources as they navigated the courses, and comparatively few used the textbook regularly. In the qualitative portion, I investigated the patterns and culture of textbook and online resource usage via semistructured interviews and found that students reported using online resources as supplements to, or in place of, the course-provided materials when engaging with online homework or studying for an exam. Students reported using online resources productively to guide learning efforts, but also acknowledged unproductive uses such as copying solutions to mitigate loss of assignment points. I provide suggestions for changes in course materials, practices, and expectations to better engage students in the course and in their learning.

Items that are chained, or blocked, together appear on many of the conceptual assessments utilized for physics education research. However, when items are chained together there is the potential to introduce local dependence between those items, which would violate the assumption of item independence required by classical test theory, unidimensional item response theory, and other measurement theories. Local dependence can be divided into two categories: (i) underlying local dependence, which can be adequately modeled with multidimensional measurement theories, and (ii) surface local dependence (SLD), which cannot be modeled using multidimensional measurement theories. The act of chaining items is thought to be one of the many potential sources of SLD between items. Using previous local dependence research results, this study proposes two methods for detecting the presence of local dependence and SLD between items on an assessment. These methods were applied to the Force Concept Inventory (FCI) and the Force and Motion Conceptual Evaluation (FMCE). It was found that the assumption of item independence was violated for both assessments, implying that unidimensional measurement theories may not adequately model either the FCI or FMCE. Further, both detection methods identified the potential for a minimal amount of SLD present for FCI and a significant amount of SLD present for the FMCE. This implies that even multidimensional measurement theories may not be capable of adequately modeling the FMCE when scoring items individually. This result supports the claim made by Thornton et al. that the items on the FMCE should be scored in groups; however, the currently proposed grading scheme was found to be inadequate.

We present a framework designed to help categorize various sense making moves, allowing for greater specificity in describing and understanding student reasoning and also in the development of curriculum to support this reasoning. The framework disaggregates between the mechanisms of student reasoning (the cognitive tool that they are employing) and what they are reasoning about (the object). Noting that either the tool or object could be mathematical or physical, the framework includes four basic sense making modes: Use of a mathematical tool to understand a mathematical object, use of a mathematical tool to understand a physical object, use of a physical tool to understand a mathematical object, and use of a physical tool to understand a physical object. We identify three fundamental processes by which these modes may be combined (translation, chaining, and coordination) and present a visual representation that captures both the individual reasoning modes and the processes by which they are combined. The utility of the framework as a tool for describing student reasoning is demonstrated through the analysis of two extended reasoning episodes. Finally, implications of this framework for curricular design are discussed.

Problem-solving categorization tasks have been well studied and used as an effective tool for assessment of student knowledge structure. In this study, a traditional free-response categorization test has been modified into a multiple-choice format, and the effectiveness of this new assessment is evaluated. Through randomized testing with Chinese college students, the multiple-choice categorization test has been shown to provide equivalent measurement compared to the open-ended test. In addition, the influence of including diagrams in problems on students’ categorization performances has also been studied, which suggests that the inclusion of diagrams in problems can improve students’ performances in identifying the relevant concepts. The results also show that the knowledge structures of the Chinese college students are in the early transitional stage between novices and experts.

Recent years have seen a resurgence of interest in using virtual reality (VR) technology to benefit instruction, especially in physics and related subjects. As VR devices improve and become more widely available, there remains a number of unanswered questions regarding the impact of VR on student learning and how best to use this technology in the classroom. On the topic of electrostatics, for example, a large, controlled, randomized study performed by Smith et al. [A controlled study of stereoscopic virtual reality in freshman electrostatics, Proceedings of the 2017 Physics Education Research Conference, Cincinnati, OH, PER Conference series (2017), pp. 376–379], found that VR-based instruction had an overall negligible impact on student learning compared to videos or images. However, they did find a strong trend for students who reported frequent video game play to learn better from VR than other media. One possible interpretation of this result is that extended videogame play provides a kind of “training” that enables a student to learn more comfortably in the virtual environment. In the present work we consider if a VR training activity that is unrelated to electrostatics can help prepare students to learn electrostatics from subsequent VR instruction. We find that preliminary VR training leads to a small but statistically significant improvement in student performance on our electrostatics assessment. We also find that student reported game play is still correlated with higher scores on this metric.

We present an investigation into the interdisciplinary role of physics in a physics-for-nonphysicists course at Pomona College. This work is guided by prior research into introductory physics for life science (IPLS) courses, but attends to significant differences in the scope and context of this course. We interviewed enrolled students, physics professors, and professors from nonphysics disciplines to explore the function of this course and the role of physics in the education of nonphysics science students. Interviews were audio recorded and transcribed, then analyzed to identify emergent themes. These themes outline the authentic physics, including content knowledge and other, broader learning objectives, that play an important and distinct role in the science education of enrolled students. Stakeholders generally align in their emphasis of interdisciplinary relevance with some divergence in the specific articulation of that idea. The differences can be understood through the stakeholders’ distinct areas of expertise, with nonphysics professors expressing value through relevance to their discipline and physics professors focusing on essential aspects of physics.

Physics, as a foundational science, has particular importance in predicting the postsecondary success of students who major in science, technology, engineering, and mathematics. This quasiexperimental, observational study examined teacher-level and school-level predictors of student performance in physics, with a focus on isolated teachers. A New York State case study is useful since the teacher certification policy is largely determined at the state level in the U.S. The overall sample included New York State public schools that offered physics ($N=960$), physics teachers ($N=1584$), and student physics test takers ($N=47734$) in the academic year 2016–2017. Teacher-level variables included the content preparation and certification of physics teachers, physics course load, professional age (years of experience), whether the teacher was isolated, whether the teacher taught mathematics, and whether the teacher taught Advanced Placement Physics; and school-level variables including physics standardized test passing rates, school size, socioeconomic status, locale, and physics course taking ratio. Data were collected from a variety of publicly available sources that were verified by state education agencies. Results indicated a significant proportion (40%) of physics teachers were isolated, and their students tended to have weaker physics performance scores than students of nonisolated teachers. Compared to the nonisolated teachers, a larger percentage of isolated physics teachers were uncertified in physics and taught in urban and rural schools. There was no significant difference in professional age between isolated and nonisolated teachers, but urban teachers had less teaching experience than suburban and rural physics teachers. When analyzing the subset of isolated teachers ($n=449$), a multiple linear regression model indicated urban locale and school-level socioeconomic status were the main negative predictors of student physics performance, while rural physics locale and professional age were positive predictors of physics performance; the model explained 38% of the variance, a large effect. Teaching experience acted as a mediator of poverty and urban locale in predicting student physics performance with a small effect size. Implications related to equity considerations and physics education policy are discussed.

Undergraduate physics laboratory course structures have been identified in policy reports for novel design innovations to meet the needs of a diverse and growing student population. To this end, an online, hands-on laboratory option was implemented at a large, public university for introductory physics students using the iOLab device. To determine whether students in this new course structure had similar perspectives to their in-person counterparts in terms of select attitudinal measures, a quasiexperimental, observational quantitative study was undertaken to measure students’ epistemological views as well as their beliefs about socialization and help seeking in online and in-person laboratory environments. Undergraduate students who were enrolled in calculus-based introductory physics ($N=998$) were surveyed in the second half of the semester to elicit their epistemological beliefs about physics laboratory work and their views on social engagement and academic help seeking in the laboratory. Parametric and nonparametric comparisons of central tendency were employed to measure differences between students in the in-person and online laboratories, as well as gender differences and associated interaction effects. Students showed no overall differences in attitudes related to epistemological and help seeking beliefs. There were significant differences related to views of socialization; students taking in-person physics laboratories valued socialization more than students taking the course online. Gender differences in epistemological and help seeking beliefs were identified overall, however, these differences were no longer significant when examining the interactions of laboratory type and gender. This finding suggests that self-selection into laboratory type may diminish gender gaps in affective domains by allowing students to choose the laboratory structure that meets their learning and logistical needs. In terms of physics epistemology, socialization and help seeking in the laboratory may not be as important to students’ perceptions of physics knowledge acquisition as previously thought. This study provides insights into the feasibility of online, hands-on laboratory experiences to meet the affective goals articulated in in-person laboratories, as well as institutional recommendations for advising students to select courses that match their individual learning styles.

Studies on physics identity have shown that it is one of the main factors that can predict a person’s persistence in the field; therefore, studying physics identity is critical to increase diversity within the field of physics and to understand what changes can allow more women and minorities to identify with the field. In this study, we investigate informal physics programs as spaces for physics identity exploration. These programs provide unique conditions under which to study physics identity development along with other identities. Informal physics spaces allow for voluntary engagement, as well as elements of agency and autonomy within the exploration of physics. Thus, these spaces allow an identity to form outside of the constraints traditionally found in academic settings. In this work, we operationalized the community of practice framework to study the development of physics identities within university students who facilitate informal physics programs. We present the stories from two physics graduate students out of our sample to provide a context for testing the feasibility of the extended framework and to identify how experiences within an informal physics program can shape physics identity development. This paper presents the operationalized constructs within the community of practice framework, how these constructs are applied to the narrated experiences of our participants and highlights how we can use this framework to understand the nuances of physics identity development as well as the factors that can influence that development.