United States

Lawrence’s Advanced Laboratory course trains students in experimental physics. Using research equipment, students engage deeply with real physics while learning scientific communication. Students worked on three self-selected projects using analog and digital electronics, ranging from single photon detectors to chaotic dynamics. Each student created an extension to one project, consisting of design and prototyping as well as collection and analysis of data. One student built an analog electronics neuron, firing upon exposure to a trumpet played at 392 Hz. Students shared project results with their scientific community via a scientific symposium (after students attended the APS Virtual April Meeting), an issue of Advanced Laboratory Letters at Lawrence (after PRL-based journal club discussions), and video demonstrations. Join us for a discussion of our approaches to evaluation and feedback, inclusive strategies, and course (and Zoom-related) fatigue. We will present what worked, what fell flat, and what surprised us along the way.

AAPT SM 20

Advanced Laboratory at Home: From Single Photons to Chaos

electronics

remote learning

advanced lab

technical paper

The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. The program featured plenary speakers, sessions, workshops and many special activities.

For more information please visit the 2020 AAPT Virtual Summer Meeting page at: https://www.aapt.org/Conferences/SM2020/index.cfm.


The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. 

Introducing SU(3) color charge in undergraduate quantum mechanics

Preliminary Results on Students in Dispersed Remote Telescope Observing Teams

Each year, International Masterclasses (IMC) bring authentic particle physics data analysis to high school students and teachers. We had just started for 2020 when the pandemic came. By mid-March all IMC videoconferences were canceled, thus ending masterclasses for thousands worldwide. A group in QuarkNet responded by building and facilitating a masterclass to be done on a large scale with a core analysis that students could perform remotely with coaching by their teachers and online support from staff. We called it the Big Analysis of Muons in CMS (BAMC). Two rounds of BAMC were accomplished: one in April with students of mostly QuarkNet teachers and an international round in May. Between them, an estimated 700 students participated from around the world.

QuarkNet creates a big online physics event (twice)

QuarkNet is an NSF-funded professional development (PD) program that provides science teachers the means to develop their skills to bring authentic research and data analysis into the classroom. We will discuss some of our challenges and opportunities in leading PD during this time of remote learning, the technologies we are using, and some best practices in leading PD remotely.

Leading Effective Professional Development Using Zoom

Goes like thinking refers to the way that physics experts quickly relate the behavior of one changing quantity to that of another, e.g., "the electric field goes like one over R squared.'" This statement is deeply meaningful and intuitive to experts, who understand why other quantities such as charge are omitted; however, it is not clear that students interpret this phrase the same way. One application of "goes like" reasoning is data linearization---choosing quantities to use for the independent and dependent axes to produce a linear graph whose slope has meaning. Preliminary work suggests that students may not understand the value and meaning of data linearization. We aim to describe our attempts to design and assess online lab curriculum in an introductory physics course addressing data linearization, and discuss some of the ways students make sense of their data analysis using "goes like" reasoning.

Exploring student use of "goes like" thinking when linearizing data

In recognition of the need for additional opportunities for remote learning for teachers and students, QuarkNet established the QuarkNet Wednesday Webinar Series, a set of five talks from physicists and educators offered via Zoom webinar through May and early June. We will discuss our experience coordinating and moderating these sessions and share lessons learned.

QuarkNet Wednesday Webinars

Background: In the present paper, we are reviewing the interest statistics in the field of physics at the undergraduate level. Materials/Methods: We reviewed the data from various credible sources regarding information from the past three decades and analyzed this data. Results/Discussion: We reviewed the independent variables such as the number of students majoring in physics during their junior and senior years in their undergraduate degree. Another independent variable is examining the undergraduate graduation rate with a major in physics. In the present work, we reviewed and reported the data into 3 segments: 1975-90, 1990-2005, and 2005 – 2020. Data was collected from different reporting sources of all Indian and U.S. universities. Statistical analysis was conducted on this data and the results were discussed.

Review of Physics Education in USA Universities

Boys’ and girls’ interest in and conceptual understanding of circuits

As part of our effort to develop a concept inventory for statistical mechanics, we have interviewed a number of students who have taken a thermal physics course, at both the undergraduate and graduate level, about their understanding of the statistical mechanics topics taught in the thermal physics curriculum. The questions asked during the interviews were formulated with input from experts in the field, and will later be fleshed out into multiple-choice questions. Here, we report some of our intermediate findings about the students understanding of some of the topics.

Insights into student understanding of statistical mechanics

The global pandemic caused by COVID-19 has provoked an abrupt disruption of postsecondary education on an unprecedented scale. The present study reviews the nature of laboratory work and demonstrates how remote labs provide a viable alternative to in-person learning. Nearly every college in the U.S. has transitioned to remote learning in a short time frame. Regardless of when students return to higher education institutions, this disruption will influence the way laboratory-based coursework is conceptualized. With over half a million undergraduate physics students, the advantages of remote learning may expand STEM access to students who may have been traditionally underrepresented. Physics faculty have been generally hesitant to implement online labs for various reasons such as time, inexperience, and questionable rigor. This paper reviews the historical progression of laboratory work in the U.S., with a critique of the evolving nature of its purpose and relationship to students’ performance in physics.

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Introducing SU(3) color charge in undergraduate quantum mechanics

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Next from AAPT SM 20

Introducing SU(3) color charge in undergraduate quantum mechanics

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