Abstract
The importance of introducing computational approaches early and actively in science education is widely acknowledged among educators and scientists. Many great ideas have been put forward and implemented by advocates and organizations such as Partnership for Integration of Computation into Undergraduate Physics (https://www.compadre.org/PICUP) and the Science Education Resource Center at Carleton College (https://serc.carleton.edu/teaching_computation/index.html). According to “Phys21: Preparing Physics Students for 21st-Century Careers,” a recent report by the Joint Task Force on Undergraduate Physics Programs, physics students benefit from learning how to represent physics concepts in multiple ways: mathematically, experimentally, and computationally. In his best-selling book on career advice, Cal Newport argues that quickly and effectively learning how to wield difficult tools is a valuable skill for success.
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