Physics

We present an Augmented Reality (AR) enhanced and networked fine beam tube experiment for undergraduate physics education. In order to determine the charge-to-mass ratio of the electron students are able to record all measurement values digitally within the AR-environment wearing a head-mounted AR device. Besides more accurate determination of e m e it offers the possibility to overlay additional data such as a magnetic field visualization or formulas in order to foster the students' understanding of relations between experiment and theory.

Background: Dataset skills are used in STEM fields from healthcare work to astronomy research. Few fields explicitly teach students the skills to analyze datasets, and yet the increasing push for authentic science implies these skills should be taught. Purpose: The overarching motivation is to understand learning of dataset skills within an astronomy context. Specifically, when participants work with a 200-entry Google Sheets dataset of astronomical data about quasars, what are they learning, how are they learning it, and who is doing the learning? Sample: The authors studied a matched set of participants (n=87) consisting of 54 university undergraduate students (34 male, 18 female), and 33 science educators (16 male, 17 female). Design and methods: Participants explored a three-phase dataset activity and were given an eight-question multiple-choice pre/post-test covering skills of analyzing datasets and astronomy content, with questions spanning Bloom's Taxonomy. Pre/post-test scores were compared and a t-test performed for subsamples by population. Results: Participants exhibited learning of both dataset skills and astronomy content, indicating that dataset skills can be learned through this astronomy activity. Participants exhibited gains in both recall and synthesis questions, indicating learning is non-sequential. Female undergraduate students exhibited lower levels of learning than other populations. Conclusions: Implications of the study include a stronger dataset focus in post-secondary STEM education and among science educators, and the need for further investigation into how instructors can ameliorate the challenges faced by female undergraduate students.

Problems involving rotating systems analyzed from an inertial frame, without invoking fictitious forces, is something that freshman students find difficult to understand in an introductory mechanics course. One of the problems that I workout in my intermediate mechanics class (which has students majoring in physics as well as students majoring in engineering and other science disciplines) is that of a bead sliding freely on a rod that is rotating uniformly in a horizontal plane. The motivation for working out this problem are two fold: (i) to train students in setting up Newton's equations of motion by identifying force components and equating to the corresponding mass times accelerations and (ii) to make the students familiar with the expressions for acceleration in the polar coordinates that we introduce at the beginning of the course. After guiding them through the solution which predicts an eventual radially outward motion for the bead (except for a very special initial condition), a typical question that gets asked is the following: The math is all fine sir, but how does the bead that is initially at rest at some point on the rod manage to move radially out if there are no radial forces? This article is about the ways I have tried to answer this question over the years and help students understand physics of the problem better.

Dark matter is one of the most intriguing scientific mysteries of our time and offers exciting instructional opportunities for physics education in high schools. The topic is likely to engage and motivate students in the classroom and allows addressing open questions of the Standard Model of particle physics. Although the empirical evidence of dark matter links nicely to many standard topics of physics curricula, teachers may find it challenging to introduce the topic in their classrooms. In this article, we present a fun new approach to teach about dark matter using jelly lenses as an instructional analogy of gravitational lenses. We provide a brief overview of the history of dark matter to contextualise our presentation and discuss the instructional potential as well as limitations of the jelly lens analogy.

Bernoulli's equation, which relates the pressure of an ideal fluid in motion with its velocity and height under certain conditions, is a central topic in General Physics courses for Science and Engineering students. This equation, frequently used both textbooks as in science outreach activities or museums, is often extrapolated to explain situations in which it is no longer valid. A common example is to assume that, in any situation, higher speed means lower pressure, a conclusion that is only acceptable under certain conditions. In this paper we report the results of an investigation with university students on some misconceptions present in fluid dynamics. We found that after completing the General Physics courses, many students have not developed a correct model about the interaction of a fluid element with its environment and extrapolate the idea that higher speed implies lower pressure in situations where it is no longer valid. We also show that an approach to fluid dynamics based on Newton's laws is more natural to address these misconceptions.

Physics faculty care about their students learning physics content. In addition, they usually hope that their students will learn some deeper lessons about thinking critically and scientifically. They hope that as a result of taking a physics class, students will come to appreciate physics as a coherent and logical method of understanding the world, and recognize that they can use reason and experimentation to figure things out about the world. Physics education researchers have created several surveys to assess one important aspect of thinking like a physicist: what students believe that learning physics is all about. In this article, we introduce attitudes and beliefs surveys; and give advice on how to choose, administer, and score them in your classes. This article is a companion to Best Practices for Administering Concept Inventories (The Physics Teacher, 2017), which introduces and answers common questions around concept inventories, which are research-based assessments of physics content topics.

The Modeling Instruction (MI) approach to introductory physics manifests significant increases in student conceptual understanding and attitudes toward physics. In light of these findings, we investigated changes in student self-efficacy while considering the construct's contribution to the career-decision making process. Students in the Fall 2014 and 2015 MI courses at Florida International University exhibited a decrease on each of the sources of self-efficacy and overall self-efficacy (N = 147) as measured by the Sources of Self-Efficacy in Science Courses-Physics (SOSESC-P) survey. This held true regardless of student gender or ethnic group. Given the highly interactive nature of the MI course and the drops observed on the SOSESC-P, we chose to further explore students' changes in self-efficacy as a function of three centrality measures (i.e., relational positions in the classroom social network): inDegree, outDegree, and PageRank. We collected social network data by periodically asking students to list the names of peers with whom they had meaningful interactions. While controlling for PRE scores on the SOSESC-P, bootstrapped linear regressions revealed post-self-efficacy scores to be predicted by PageRank centrality. When disaggregated by the sources of self-efficacy, PageRank centrality was shown to be directly related to students' sense of mastery experiences. InDegree was associated with verbal persuasion experiences, and outDegree with both verbal persuasion and vicarious learning experiences. We posit that analysis of social networks in active learning classrooms helps to reveal nuances in self-efficacy development.

Much work in physics education research (PER) characterizes faculty teaching practice in terms of whether faculty use specific named PER-based teaching methods, either with fidelity or with adaptation; we call this research paradigm the "teaching-method-centered paradigm." However, most faculty do not frame their teaching in terms of which particular named methods they use, but rather in terms of their own ideas and values, suggesting that the teaching-method-centered paradigm misses key features of faculty teaching. These key features include the productive ideas that faculty have about student learning and faculty agency around teaching. We present three case studies of faculty talking about their teaching, and analyze them in terms of two theoretical frameworks: a framework of teaching principles (How Learning Works) and a framework of faculty agency (Self-Determination Theory). We show that these frameworks well characterize key features of faculty teaching practices and agency, and can be combined in a new paradigm for modeling faculty teaching which we call an "asset-based agentic paradigm." We therefore encourage physics education researchers to move beyond the teaching-method-centered paradigm and think about faculty teaching using an asset-based agentic paradigm.

In the introductory courses on electromagnetism, the Biot-Savart law is generally explained by a simple example to find the magnetic field created at any point in space by a small wire element that carries a current. The simplest system studied consists in a straight finite wire, however, to explore the magnetic field in complex geometries is required more imagination to solve the mathematics involved. In this paper, we present a practical methodology to use the superposition principle of magnetic fields by using n-times a finite current-carrying wire to evaluate the magnetic field at any point in space for various geometric configurations. This approach allows students to explore systems with different levels of complexity, combining analytical and computational skills to visualize and analyze the magnetic field.

Mathematics is the language of science. Fluent and productive use of mathematics requires one to understand the meaning embodied in mathematical symbols, operators, syntax, etc., which can be a difficult task. For instance, in algebraic symbolization, the negative and positive signs carry multiple meanings depending on contexts. In the context of electromagnetism, we use conceptual blending theory to demonstrate that different physical meanings, such as directionality and location, could associate to the positive and negative signs. With these blends, we analyze the struggles of upper-division students as they work with an introductory level problem where the students must employ multiple signs with different meanings in one mathematical expression. We attribute their struggles to the complexity of choosing blends with an appropriate meaning for each sign, which gives us insight into students' algebraic thinking and reasoning.