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
Published in2014 9th International Conference on System of Systems Engineering (SOSE) pp. 160 - 165
Main Authors Kok Chin Chai, Kai Meng Tay
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2014
Subjects
Decision making
Decoding
Education
Engines
Fuzzy sets
linguistic terms
linguistic uncertainties
peer assessment
perceptual computing
Pragmatics
Uncertainty
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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.
DOI:10.1109/SYSOSE.2014.6892481