Teaching and assessment of physics measurement uncertainty in remote delivery during Covid-19 Lockdown

Authors

  • Sunil Dehipawala Department of Physics, Queensborough Community College (CUNY), United States.
  • Ian Schanning Department of Physics, Queensborough Community College (CUNY), United States.
  • Dodi Sukmayadi Physics Education Department, Universitas Terbuka, Indonesia
  • George Tremberger Department of Physics, Queensborough Community College (CUNY), United States
  • tak cheung Department of Physics, Queensborough Community College (CUNY), United States

DOI:

https://doi.org/10.33830/ijrse.v5i2.767

Keywords:

Uncertainty learning, Measurement Uncertainty, Physics Education, Remote Learning, Experiential Learning, Simulation Labs

Abstract

The teaching and assessment of measurement uncertainty in physics lab class has been an ongoing challenge under the Covid-19 no-access policy, especially in a Two-year community college setting with less budget. The tactile experience as a tacit knowledge must be delivered in words and students are presumed to be able to learn from reading and following the rules in a simulation, with an analogy of the learning of emotions in a literature class with the original words in the novel and the related movies. The transference learning process offers guidance to design the remote delivery of experiential learning in a lab class. The quantitative uncertainty in physics lab is an assessment of how well we know. The misconception that a simulation lab would carry zero uncertainty was found to be the more difficult for students to eliminate. When the teaching of uncertainty percent calculation be classified as a lesson at the average difficulty level, then the teaching of the uncertainty in graphical representation would be deemed to be at the next difficulty level. For the case with a single formula in several variables, the small change concept in algebra can be used to estimate the uncertainty when the small changes are in absolute magnitudes.  For the case with two or more cascade formulas, the use of simulation to estimate uncertainty from the variation of the simulation results would be practical. Teaching uncertainty examples and assessment rubric examples for experiential learning in remote delivery during Covid -19 pandemic are discussed.

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Published

2023-11-12

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Research Articles