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A Path to Computational Thinking and Computer Programming through Physics Problems

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MLA citation style (9th ed.)

Mason, R, and Sirikumara, Hansika. A Path to Computational Thinking and Computer Programming Through Physics Problems. American Society for Engineering Education (ASEE). 2022. mushare.marian.edu/concern/generic_works/37e43762-75e0-4891-9a34-0ac07abf56a1?locale=it.

APA citation style (7th ed.)

M. R, & S. Hansika. (2022). A Path to Computational Thinking and Computer Programming through Physics Problems. https://mushare.marian.edu/concern/generic_works/37e43762-75e0-4891-9a34-0ac07abf56a1?locale=it

Chicago citation style (CMOS 17, author-date)

Mason, R., and Sirikumara, Hansika. A Path to Computational Thinking and Computer Programming Through Physics Problems. American Society for Engineering Education (ASEE). 2022. https://mushare.marian.edu/concern/generic_works/37e43762-75e0-4891-9a34-0ac07abf56a1?locale=it.

Note: These citations are programmatically generated and may be incomplete.

We propose a novel approach to improve computational thinking (CT) and computer programming (CP) via a disciplinary-based problem solving approach. We hypothesize that the syntax needed for writing a computer code can be introduced through support programs in problem solving. This article demonstrates this approach through the problem of non-linear pendulum, a familiar problem solved in most engineering and physics classes. It is basically focused on implementing numerical techniques for solving ordinary differential equations (ODEs). Instead of using a syntax-based teaching approach, support programs can be used to
identify the required coding elements. We envision that this approach can be transferable to many problems in STEM classes to motivate students towards computer programming.

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  • 2022 ASEE Annual Conference & Exposition

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