MakeCode and CODAL: intuitive and efficient embedded systems programming for education Article Swipe
James Devine
,
Joe Finney
,
Peli de Halleux
,
Michał Moskal
,
Thomas Ball
,
Steve Hodges
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1145/3299710.3211335
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1145/3299710.3211335
Across the globe, it is now commonplace for educators to engage in the making (design and development) of embedded systems in the classroom to motivate and excite their students. This new domain brings its own set of unique requirements. Historically, embedded systems development requires knowledge of low-level programming languages, local installation of compilation toolchains, device drivers, and applications. For students and educators, these requirements can introduce insurmountable barriers. We present the motivation, requirements, implementation, and evaluation of a new programming platform that enables novice users to create software for embedded systems. The platform has two major components: 1) Microsoft MakeCode ( www.makecode.com ), a web app that encapsulates an entire beginner IDE for microcontrollers; and 2) CODAL, an efficient component-oriented C++ runtime for microcontrollers. We show how MakeCode and CODAL provide an accessible, cross-platform, installation-free programming experience for the BBC micro:bit and other embedded devices.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3299710.3211335
- https://dl.acm.org/doi/pdf/10.1145/3299710.3211335
- OA Status
- bronze
- Cited By
- 20
- References
- 11
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://doi.org/10.1145/3299710.3211335Digital Object Identifier
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MakeCode and CODAL: intuitive and efficient embedded systems programming for educationWork title
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articleOpenAlex work type
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enPrimary language
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2018Year of publication
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2018-06-19Full publication date if available
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James Devine, Joe Finney, Peli de Halleux, Michał Moskal, Thomas Ball, Steve HodgesList of authors in order
- Landing page
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https://doi.org/10.1145/3299710.3211335Publisher landing page
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https://dl.acm.org/doi/pdf/10.1145/3299710.3211335Direct link to full text PDF
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bronzeOpen access status per OpenAlex
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https://dl.acm.org/doi/pdf/10.1145/3299710.3211335Direct OA link when available
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Computer science, Microcontroller, Software engineering, Operating system, Domain (mathematical analysis), Component (thermodynamics), Set (abstract data type), Software, Embedded system, Programming language, Physics, Thermodynamics, Mathematical analysis, MathematicsTop concepts (fields/topics) attached by OpenAlex
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20Total citation count in OpenAlex
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2025: 1, 2024: 4, 2023: 5, 2022: 3, 2021: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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