English
Related papers

Related papers: Tiered Assessment in Upper-Level Undergraduate Phy…

200 papers

Adding interpretability to multivariate methods creates a powerful synergy for exploring complex physical systems with higher order correlations while bringing about a degree of clarity in the underlying dynamics of the system.

High Energy Physics - Phenomenology · Physics 2022-05-04 Christophe Grojean , Ayan Paul , Zhuoni Qian , Inga Strümke

A simple model to help students see the connections between a physics course and their engineering major is described. "Bridging" had positive effects on performance, attitude, and motivation, as measured by grade analyses, surveys, and…

Physics Education · Physics 2007-05-23 S. W. Pierson , S. T. Gurland , V. Crawford

Technology-Enhanced Formative Assessment (TEFA) is a pedagogy for teaching with classroom response technology. Teacher Learning of TEFA is a five-year research project studying teacher change, in the context of an intensive professional…

Introductory algebra-based physics courses frequently feature multiple student major populations in the same course section, however, different majors' requirements may impact students' motivations towards different aspects of the course…

Physics Education · Physics 2016-02-25 Andrew Mason

We explore the difficulties that advanced undergraduate and graduate students have with non-relativistic quantum mechanics of a single particle in one spatial dimension. To investigate these difficulties we developed a conceptual survey and…

Physics Education · Physics 2016-02-18 Guangtian Zhu , Chandralekha Singh

Course material for mathematical methods of theoretical physics intended for an undergraduate audience.

Mathematical Physics · Physics 2023-02-07 Karl Svozil

In computer science, students could benefit from more opportunities to learn important, high-level concepts and to improve their learning skills. Peer review is one method to encourage this by providing students with the opportunity to…

Computers and Society · Computer Science 2009-07-21 Scott Turner , Manuel A. Perez-Quinones

We redesigned an advanced physics laboratory course to include a project component. The intention was to address learning outcomes such as modeling, design of experiments, teamwork, and developing technical skills in using apparatus and…

Physics Education · Physics 2022-07-06 Bei Cai , Lindsay Mainhood , Robert G. Knobel

Assessments are usually thought of as ways for instructors to get information from students. In this work, we flip this perspective and explore how assessments communicate information to students. Specifically, we consider how assessments…

Physics Education · Physics 2020-07-15 Kelli Shar , Rosemary S. Russ , James T. Laverty

This study investigates the impact of a novel application of generative artificial intelligence (AI) in physics instruction: engaging students in prompting, refining, and validating AI-constructed simulations of physical phenomena. In a…

Physics Education · Physics 2025-09-30 Yossi Ben-Zion , Turhan K. Carroll , Colin G. West , Jesse Wong , Noah D. Finkelstein

This set of lecture notes constitutes the free textbook project I initiated towards the end of Summer 2015, while preparing for the Fall 2015 Analytical Methods in Physics course I taught to upper level undergraduates at the University of…

Mathematical Physics · Physics 2018-01-09 Yi-Zen Chu

We describe an undergraduate course where physics students are asked to conceive an outreach project of their own. The course alternates between the project conception and teachings about pedagogy and outreach, and ends in a public show. We…

Physics Education · Physics 2016-05-03 Julien Bobroff , Frédéric Bouquet

A thoughtful approach to designing and improving labs, particularly at the advanced level, is critical for the effective preparation of physics majors for professional work in industry or graduate school. With that in mind, physics…

Physics Education · Physics 2013-01-21 Benjamin M. Zwickl , Noah Finkelstein , H. J. Lewandowski

This experience report explores the effects of ungraded assignments on the learning experience of students in an introductory computing course. Our study examines the impact of ungraded assignments on student engagement, understanding, and…

Computers and Society · Computer Science 2025-12-30 Yehya Sleiman Tellawi , Abhishek K. Umrawal

In 2016, the Department of Physics at Oregon State University began a process to revise our Paradigms in Physics curriculum for physics majors. We began with a colloquium to inform the department of our plans and request their assistance,…

Physics Education · Physics 2017-07-03 David Roundy , Elizabeth Gire , Ethan Minot , Emily van Zee , Corinne A. Manogue

Multivariate Analysis is an increasingly common tool in experimental high energy physics; however, many of the common approaches were borrowed from other fields. We clarify what the goal of a multivariate algorithm should be for the search…

Data Analysis, Statistics and Probability · Physics 2014-11-18 Kyle S. Cranmer

We investigate a new structure for machine learning classifiers applied to problems in high-energy physics by expanding the inputs to include not only measured features but also physics parameters. The physics parameters represent a…

High Energy Physics - Experiment · Physics 2016-05-25 Pierre Baldi , Kyle Cranmer , Taylor Faucett , Peter Sadowski , Daniel Whiteson

The objective of our study is to ascertain the present learning behaviors, driving forces, and assessment techniques as perceived by first-year students, and to examine them through the lens of the most recent developments (pandemic, shift…

Computers and Society · Computer Science 2024-07-16 Manuela Andreea Petrescu , Tudor Dan Mihoc

Research-validated multiple-choice questions comprise an easy-to-implement instructional tool that serves to scaffold student learning and formatively assess students' knowledge. We present findings from the implementation, in consecutive…

Physics Education · Physics 2024-05-30 Peter Hu , Yangqiuting Li , Chandralekha Singh

There is a critical need to develop new educational technology applications that analyze the data collected by universities to ensure that students graduate in a timely fashion (4 to 6 years); and they are well prepared for jobs in their…

Machine Learning · Computer Science 2017-09-19 Zhiyun Ren , Xia Ning , Huzefa Rangwala