A perceptual computing-based approach for peer assessment

• Main Authors: Kok, Chin Chai, Tay, Kai Meng
• Format: E-Article
• Language: English
• Published: IEEE 2014
• Subjects: T Technology (General)
• 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/

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.