A new fuzzy peer assessment methodology for cooperative learning of students

Tay, Kai Meng and Kok, Chin Chai and Chee, Peng Lim (2015) A new fuzzy peer assessment methodology for cooperative learning of students. Applied Soft Computing, 32. pp. 468-480. ISSN 1568-4946

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Perceptual computing; Peer assessment; Fuzzy preference relations; Linguistic grades; Individual weighting factor, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, undergraduate, research, Universiti Malaysia Sarawak
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Tay Kai Meng
Date Deposited: 02 Jul 2015 04:24
Last Modified: 21 Oct 2016 07:32
URI: http://ir.unimas.my/id/eprint/8139

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