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Assessing Students' Teamwork Performance by Means of Fuzzy Logic.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Sandoval, Francisco
Prieto, Alberto
Cabestany, Joan
Graña, Manuel
Montero, José A.
Source :
Computational & Ambient Intelligence; 2007, p383-390, 8p
Publication Year :
2007

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540730064
Database :
Complementary Index
Journal :
Computational & Ambient Intelligence
Publication Type :
Book
Accession number :
33147723
Full Text :
https://doi.org/10.1007/978-3-540-73007-1_47