The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
L'organisation de groupe utilisée pour l'apprentissage en groupe dans un domaine à forte intensité de connaissances comme le développement de logiciels affecte la réussite scolaire. Cet article propose un système d'organisation de groupe pour la formation en génie logiciel par l'apprentissage en groupe. Le problème organisationnel lui-même est défini et la raison pour laquelle un algorithme génétique (AG) est un moyen approprié pour résoudre ce problème est expliquée. Ce système est une application Web développée avec un logiciel open source et fonctionne sur une plateforme logicielle open source. Sur la base des données d'organisation de groupe collectées dans les classes réelles, nous avons généré diverses organisations de groupe en utilisant différentes valeurs de paramètres de stratégie. Nous avons ensuite soumis un questionnaire aux étudiants en leur demandant quelle solution produisait l'organisation de groupe la plus équitable. Les réponses reçues ont révélé que la solution candidate, qui accordait une plus grande importance à la capacité de leadership et à la capacité d'analyse du système, était la plus équitable.
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Atsuo HAZEYAMA, Naota SAWABE, Seiichi KOMIYA, "Group Organization System for Software Engineering Group Learning with Genetic Algorithm" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 4, pp. 666-673, April 2002, doi: .
Abstract: The group organization used for group learning in a knowledge intensive domain like software development affects educational achievement. This paper proposes a group organization system for software engineering education done through group learning. The organizational problem itself is defined and why a Genetic Algorithm (GA) is an appropriate means of solving this problem is explained. This system is a Web application developed with open source software and runs on an open source software platform. Based on the group organization data collected from actual classes, we generated various group organizations by using different strategy parameter values. We then gave a questionnaire to actual students asking them which solution produced the fairest group organization. The replies received revealed that the candidate solution that set greater weight on leadership capability and system analysis capability was the fairest.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_4_666/_p
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@ARTICLE{e85-d_4_666,
author={Atsuo HAZEYAMA, Naota SAWABE, Seiichi KOMIYA, },
journal={IEICE TRANSACTIONS on Information},
title={Group Organization System for Software Engineering Group Learning with Genetic Algorithm},
year={2002},
volume={E85-D},
number={4},
pages={666-673},
abstract={The group organization used for group learning in a knowledge intensive domain like software development affects educational achievement. This paper proposes a group organization system for software engineering education done through group learning. The organizational problem itself is defined and why a Genetic Algorithm (GA) is an appropriate means of solving this problem is explained. This system is a Web application developed with open source software and runs on an open source software platform. Based on the group organization data collected from actual classes, we generated various group organizations by using different strategy parameter values. We then gave a questionnaire to actual students asking them which solution produced the fairest group organization. The replies received revealed that the candidate solution that set greater weight on leadership capability and system analysis capability was the fairest.},
keywords={},
doi={},
ISSN={},
month={April},}
Copier
TY - JOUR
TI - Group Organization System for Software Engineering Group Learning with Genetic Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 666
EP - 673
AU - Atsuo HAZEYAMA
AU - Naota SAWABE
AU - Seiichi KOMIYA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2002
AB - The group organization used for group learning in a knowledge intensive domain like software development affects educational achievement. This paper proposes a group organization system for software engineering education done through group learning. The organizational problem itself is defined and why a Genetic Algorithm (GA) is an appropriate means of solving this problem is explained. This system is a Web application developed with open source software and runs on an open source software platform. Based on the group organization data collected from actual classes, we generated various group organizations by using different strategy parameter values. We then gave a questionnaire to actual students asking them which solution produced the fairest group organization. The replies received revealed that the candidate solution that set greater weight on leadership capability and system analysis capability was the fairest.
ER -