Assessing students' teamwork performance by means of fuzzy logic

José A. Montero; Francesc Alías; Carles Garriga; Lluís Vicent; Ignasi Iriondo

doi:10.1007/978-3-540-73007-1_47

Assessing students' teamwork performance by means of fuzzy logic

José A. Montero, Francesc Alías, Carles Garriga, Lluís Vicent, Ignasi Iriondo

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

2 Cites (Scopus)

Resum

In this paper a fuzzy system for automatically assessing the students' teamwork performance is presented. The main goal of this work is to guarantee an equitable assessment of students' teamwork throughout the course and across the lecturers of the same subject when subjective criteria are considered. The proposed fuzzy system (i) is designed by using a methodology based on a trade-off between accuracy and intelligibility, and (ii) uses as input linguistic variables a set of four statistical-based parameters, computed from real individual and group marks, which have been subjectively and objectively validated. Finally, the fuzzy system is described and validated experimentally.

Idioma original	Anglès
Títol de la publicació	Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings
Editor	Springer Verlag
Pàgines	383-390
Nombre de pàgines	8
ISBN (imprès)	9783540730064
DOIs	https://doi.org/10.1007/978-3-540-73007-1_47
Estat de la publicació	Publicada - 2007
Esdeveniment	9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian, Spain Durada: 20 de juny 2007 → 22 de juny 2007

Sèrie de publicacions

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum	4507 LNCS
ISSN (imprès)	0302-9743
ISSN (electrònic)	1611-3349

Conferència

Conferència	9th International Work-Conference on Artificial Neural Networks, IWANN 2007
País/Territori	Spain
Ciutat	San Sebastian
Període	20/06/07 → 22/06/07

Accés al document

10.1007/978-3-540-73007-1_47

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Com citar-ho

Montero, J. A., Alías, F., Garriga, C., Vicent, L., & Iriondo, I. (2007). Assessing students' teamwork performance by means of fuzzy logic. In Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings (pàg. 383-390). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4507 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-73007-1_47

Montero, José A. ; Alías, Francesc ; Garriga, Carles et al. / Assessing students' teamwork performance by means of fuzzy logic. Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Springer Verlag, 2007. pàg. 383-390 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper a fuzzy system for automatically assessing the students' teamwork performance is presented. The main goal of this work is to guarantee an equitable assessment of students' teamwork throughout the course and across the lecturers of the same subject when subjective criteria are considered. The proposed fuzzy system (i) is designed by using a methodology based on a trade-off between accuracy and intelligibility, and (ii) uses as input linguistic variables a set of four statistical-based parameters, computed from real individual and group marks, which have been subjectively and objectively validated. Finally, the fuzzy system is described and validated experimentally.",

author = "Montero, {Jos{\'e} A.} and Francesc Al{\'i}as and Carles Garriga and Llu{\'i}s Vicent and Ignasi Iriondo",

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Montero, JA , Alías, F, Garriga, C, Vicent, L & Iriondo, I 2007, Assessing students' teamwork performance by means of fuzzy logic. in Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4507 LNCS, Springer Verlag, pàg. 383-390, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastian, Spain, 20/06/07. https://doi.org/10.1007/978-3-540-73007-1_47

Assessing students' teamwork performance by means of fuzzy logic. / Montero, José A.; Alías, Francesc; Garriga, Carles et al.
Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Springer Verlag, 2007. pàg. 383-390 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4507 LNCS).

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

TY - GEN

T1 - Assessing students' teamwork performance by means of fuzzy logic

AU - Montero, José A.

AU - Alías, Francesc

AU - Garriga, Carles

AU - Vicent, Lluís

AU - Iriondo, Ignasi

PY - 2007

Y1 - 2007

N2 - In this paper a fuzzy system for automatically assessing the students' teamwork performance is presented. The main goal of this work is to guarantee an equitable assessment of students' teamwork throughout the course and across the lecturers of the same subject when subjective criteria are considered. The proposed fuzzy system (i) is designed by using a methodology based on a trade-off between accuracy and intelligibility, and (ii) uses as input linguistic variables a set of four statistical-based parameters, computed from real individual and group marks, which have been subjectively and objectively validated. Finally, the fuzzy system is described and validated experimentally.

AB - In this paper a fuzzy system for automatically assessing the students' teamwork performance is presented. The main goal of this work is to guarantee an equitable assessment of students' teamwork throughout the course and across the lecturers of the same subject when subjective criteria are considered. The proposed fuzzy system (i) is designed by using a methodology based on a trade-off between accuracy and intelligibility, and (ii) uses as input linguistic variables a set of four statistical-based parameters, computed from real individual and group marks, which have been subjectively and objectively validated. Finally, the fuzzy system is described and validated experimentally.

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U2 - 10.1007/978-3-540-73007-1_47

DO - 10.1007/978-3-540-73007-1_47

M3 - Conference contribution

AN - SCOPUS:38049103586

SN - 9783540730064

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 383

EP - 390

BT - Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings

PB - Springer Verlag

T2 - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007

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ER -

Montero JA , Alías F, Garriga C, Vicent L, Iriondo I. Assessing students' teamwork performance by means of fuzzy logic. In Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings. Springer Verlag. 2007. pàg. 383-390. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-73007-1_47

Assessing students' teamwork performance by means of fuzzy logic

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