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Self-adjusting Programming Training Support System Using Genetic Algorithm

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

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Abstract

Computer aided training has become an important method for improving computer education. For this research, we propose a programming training support system which targets understanding program structures which satisfy required program specifications. In our proposed training system, a given source code is broken up into separate puzzle pieces, and the user must layout the pieces in the correct order to reconstruct the program. The proposed system applies genetic algorithm (GA) and allows the system to self-adjust the difficulty of the programming problems matching the trainee’s competency. We created a prototype system and applied it in a 1st year university programming course.

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References

  1. Jain, L.C., et al. (eds.): Virtual Environments for Teaching and Learning. World Scientific, Singapore (2002)

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© 2005 Springer-Verlag Berlin Heidelberg

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Nunohiro, E., Mackin, K.J., Ohshiro, M., Yamasaki, K. (2005). Self-adjusting Programming Training Support System Using Genetic Algorithm. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_74

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  • DOI: https://doi.org/10.1007/11553939_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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