Self-adjusting programming training support system using genetic algorithm

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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. © Springer-Verlag Berlin Heidelberg 2005.

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APA

Nunohiro, E., Mackin, K. J., Ohshiro, M., & Yamasaki, K. (2005). Self-adjusting programming training support system using genetic algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 520–525). Springer Verlag. https://doi.org/10.1007/11553939_74

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