• Open Access

Prevalence and nature of computational instruction in undergraduate physics programs across the United States

Marcos D. Caballero and Laura Merner
Phys. Rev. Phys. Educ. Res. 14, 020129 – Published 20 December 2018

Abstract

A national survey of physics faculty was conducted to investigate the prevalence and nature of computational instruction in physics courses across the United States. 1246 faculty from 357 unique institutions responded to the survey. The results suggest that more faculty have some form of computational teaching experience than a decade ago, but it appears that this experience does not necessarily translate to computational instruction in undergraduate students’ formal course work. Further, we find that formal programs in computational physics are absent from most departments. A majority of faculty do report using computation on homework and in projects, but few report using computation with interactive engagement methods in the classroom or on exams. Specific factors that underlie these results are the subject of future work, but we do find that there is a variation on the reported experience with computation and the highest degree that students can earn at the surveyed institutions.

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  • Received 21 August 2018

DOI:https://doi.org/10.1103/PhysRevPhysEducRes.14.020129

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
  1. Professional Topics
Physics Education Research

Authors & Affiliations

Marcos D. Caballero1,2,* and Laura Merner3

  • 1Department of Physics and Astronomy & CREATE for STEM Institute, Michigan State University, East Lansing, Michigan 48824, USA
  • 2Department of Physics & Center for Computing in Science Education, University of Oslo, N-0316 Oslo, Norway
  • 3Statistical Research Center, American Institute of Physics, College Park, Maryland 20740, USA

  • *Corresponding author. caballero@pa.msu.edu

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Issue

Vol. 14, Iss. 2 — July - December 2018

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