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A new fuzzy peer assessment methodology for cooperative learning of students

Chai, Kok Chin, Tay, Kai Meng and Lim, Chee Peng 2015, A new fuzzy peer assessment methodology for cooperative learning of students, Applied soft computing, vol. 32, pp. 468-480, doi: 10.1016/j.asoc.2015.03.056.

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Title A new fuzzy peer assessment methodology for cooperative learning of students
Author(s) Chai, Kok Chin
Tay, Kai Meng
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name Applied soft computing
Volume number 32
Start page 468
End page 480
Total pages 13
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-07
ISSN 1568-4946
Summary In this paper, a new fuzzy peer assessment methodology that considers vagueness and imprecision of words used throughout the evaluation process in a cooperative learning environment is proposed. Instead of numerals, words are used in the evaluation process, in order to provide greater flexibility. The proposed methodology is a synthesis of perceptual computing (Per-C) and a fuzzy ranking algorithm. Per-C is adopted because it allows uncertainties of words to be considered in the evaluation process. Meanwhile, the fuzzy ranking algorithm is deployed to obtain appropriate performance indices that reflect a student's contribution in a group, and subsequently rank the student accordingly. A case study to demonstrate the effectiveness of the proposed methodology is described. Implications of the results are analyzed and discussed. The outcomes clearly demonstrate that the proposed fuzzy peer assessment methodology can be deployed as an effective evaluation tool for cooperative learning of students.
Language eng
DOI 10.1016/j.asoc.2015.03.056
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
0102 Applied Mathematics
0801 Artificial Intelligence And Image Processing
0806 Information Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080923

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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