Abstract
The automatic judgment system, which has been widely used in recent programming lectures, is being developed mainly in a language that is performed based on a console. Embedded systems such as Arduino require more effort from instructors to guide students, but research on systems that support them is slow. In order to support this, this paper intends to support instructors and students by developing an Arduino practice judgment system based on a function execution log. The Arduino practice judgment system can perform Arduino practice judgment by processing the Fritzing output and the source code execution result in the form of a function execution log rather than the actual Arduino HW. In addition, it was shown that the system can be applied to actual lectures to make lectures more efficient.
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Acknowledgements
This study was supported by the BK21 FOUR project (AI-driven Convergence Software Education Research Program) funded by the Ministry of Education, School of Computer Science and Engineering, Kyungpook National University, Korea (4199990214394) and the Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2017R1D1A3B04035880 and NRF-2018R1A6A1A03025109)
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Seo, K., Lee, W. (2022). Function Execution Log Based Judgment System for Arduino Learning Practice. In: Crossley, S., Popescu, E. (eds) Intelligent Tutoring Systems. ITS 2022. Lecture Notes in Computer Science, vol 13284. Springer, Cham. https://doi.org/10.1007/978-3-031-09680-8_2
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DOI: https://doi.org/10.1007/978-3-031-09680-8_2
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