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

Research output: Book chapter › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings
Publisher	Springer Verlag
Pages	383-390
Number of pages	8
ISBN (Print)	9783540730064
DOIs	https://doi.org/10.1007/978-3-540-73007-1_47
Publication status	Published - 2007
Event	9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian, Spain Duration: 20 Jun 2007 → 22 Jun 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4507 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Work-Conference on Artificial Neural Networks, IWANN 2007
Country/Territory	Spain
City	San Sebastian
Period	20/06/07 → 22/06/07

Access to Document

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

Cite this

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 (pp. 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. pp. 383-390 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Assessing students' teamwork performance by means of fuzzy logic",

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, pp. 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. p. 383-390 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4507 LNCS).

Research output: Book chapter › Conference contribution › peer-review

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

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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. p. 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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