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The Compass Project is a self-formed group of graduate and undergraduate students in the physical sciences at UC Berkeley. Our goals are to improve undergraduate physics education, provide opportunities for professional development, and…

We report mainly on the global flagship outreach activity in particle physics: the International Particle Physics Masterclasses. It is illustrated on the example of Slovakia and the Czech Republic. The Masterclasses are described and their…

Physics Education · Physics 2024-01-31 Boris Tomasik , Julia Kekelakova , Ivan Melo , Vojtech Pleskot

"AI for Science" aims to solve fundamental scientific problems using AI techniques. As most physical phenomena can be described as Partial Differential Equations (PDEs) , approximating their solutions using neural networks has evolved as a…

Machine Learning · Computer Science 2024-07-31 Mohan Ren , Zhihao Fang , Keren Li , Anirbit Mukherjee

In this meta-analysis, we synthesize the results of 24 studies using the Colorado Learning Attitudes about Science Survey (CLASS) and the Maryland Physics Expectations Survey (MPEX) to answer several questions: (1) How does physics…

Physics Education · Physics 2015-05-29 Adrian Madsen , Sarah B. McKagan , Eleanor C. Sayre

The ability to emotionally or intellectually understand another person's thoughts and feelings-empathy-can foster critical connections that facilitate learning and collaboration. We present a case study of physics faculty that examines…

Physics Education · Physics 2024-06-26 Rachel Merrill , Alia Hamdan , Ash Bista , Scott Franklin

Graduation rates are a key measure of the long-term efficacy of academic interventions. However, challenges to using traditional estimates of graduation rates for underrepresented students include inherently small sample sizes and high data…

Applications · Statistics 2023-07-19 Mason N Tedeschi , Tiana M Hose , Emily K Mehlman , Scott Franklin , Tony E Wong

In this paper, we study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. We consider affirmative action policies that seek to increase the number of…

Computers and Society · Computer Science 2020-07-03 Corinna Hertweck , Carlos Castillo , Michael Mathioudakis

Joining a research group is one of the most important events on a graduate student's path to earning a PhD, but the ways students go about searching for a group remain largely unstudied. It is therefore crucial to investigate whether…

Physics Education · Physics 2023-07-17 Mike Verostek , Casey W. Miller , Benjamin M. Zwickl

The modern physics course is a crucial gateway for physics majors, introducing concepts beyond the scope of K-12 education. Despite its significance, content varies widely among institutions. This study analyzes 167 modern physics syllabi…

Physics Education · Physics 2024-07-24 Alexis Buzzell , Ramón Barthelemy , Tim Atherton

Modern society is diverse, multicultural, and multifaceted. Because of these characteristics, we are currently observing an increase in the debates about equity, diversity, and inclusion in different areas, especially because several groups…

Software Engineering · Computer Science 2023-03-13 Ronnie de Souza Santos , Brody Stuart-Verner , Cleyton de Magalhaes

With this study we tried to investigate if male and female students have a different perception of scientific careers. At the end, we would like to be able to provide hints on how to intervene to correct the path that seems to naturally…

Physics Education · Physics 2016-11-17 Sandra Leone

We analyze 5 years of student records at the University of Oregon to estimate the probability of success (as defined by superior undergraduate record; sufficient for admission to graduate school) in Physics and Mathematics as a function of…

Physics Education · Physics 2010-11-03 Stephen D. H. Hsu , James Schombert

The objective of this project is to compare the effectiveness of teaching styles used in high school physics classes and the methods used to assess them. We would like to determine those approaches to physics at the high schools that work…

Physics Education · Physics 2013-05-21 Gordon P. Ramsey , Melissa M. Nemeth , David Haberkorn

Partial differential equations (PDEs) serve as the cornerstone of mathematical physics. In recent years, Physics-Informed Neural Networks (PINNs) have significantly reduced the dependence on large datasets by embedding physical laws…

Machine Learning · Computer Science 2025-06-09 Wenxuan Huo , Qiang He , Gang Zhu , Weifeng Huang

In this article, we reflect upon our positive experiences incorporating or working on extra credit projects in algebra-based introductory physics that asked students to connect physics with humanities, social sciences, and everyday life. We…

Physics Education · Physics 2025-09-19 Brooke Rouret , Jaya Shivangani Kashyap , Jeremy Levy , Chandralekha Singh

Women from historically marginalized groups in the sciences continue to be severely underrepresented in the fields of physics and astronomy. Young girls identifying with these groups often lose interest in science, technology, engineering,…

Physics Education · Physics 2025-01-22 Maya Silverman , Aomawa L. Shields , Jessica N. Howard , Vidya Venkatesan , Kiana Whitfield

In this article, we draw on previous reports from physics, science education, and women's studies to propose a more nuanced treatment of gender in physics education research (PER). A growing body of PER examines gender differences in…

Physics Education · Physics 2016-08-24 Adrienne L. Traxler , Ximena C. Cid , Jennifer Blue , Ramón Barthelemy

The lack of diversity in physics remains a persistent worldwide problem. Despite being a quantitative discipline which relies on measurements to construct and validate hypotheses, there remains a paucity of data on both demographics and…

With an investigation into how students in a physics Master of science program make sense of their whole first year study experience in one of the years following a programme reform, we try to offer insights and advice to consider when…

Physics Education · Physics 2007-05-23 Ake Ingerman , Shirley Booth

Physics-informed neural networks have shown promise in solving partial differential equations (PDEs) by integrating physical constraints into neural network training, but their performance is sensitive to the sampling of points. Based on…

Machine Learning · Computer Science 2026-02-05 Tianchi Yu , Ivan Oseledets
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