A perceptual computing-based approach for peer assessment

Peer assessment is useful for assessing an individual's contribution in a collaborative learning task. It is commonly used in institutions of higher education as normally each class has a large number of students. Peer assessment allows students to assess their group members' contributions...

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Bibliographic Details
Main Authors: Kok, Chin Chai, Tay, Kai Meng
Format: E-Article
Language:English
Published: IEEE 2014
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Online Access:http://ir.unimas.my/id/eprint/16640/1/A%20Perceptual%20Computing-based%20Approach%20for%20Peer%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/16640/
http://ieeexplore.ieee.org/document/6892481/
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Summary:Peer assessment is useful for assessing an individual's contribution in a collaborative learning task. It is commonly used in institutions of higher education as normally each class has a large number of students. Peer assessment allows students to assess their group members' contributions. It also helps the instructor to arrive at an assessment that reflects individual's effort in a collaborative learning task. In this paper, a perceptual computing (Per-C)-based peer assessment procedure is investigated. The assessment adopts vague and imprecise words in the evaluation process. Per-C is selected because it allows uncertainties of words to be considered in the decision making process. A real case study is conducted to demonstrate the effectiveness of the proposed method. The results show that the use of Per-C in peer assessment is important.