Multiple Criteria Multiple Peer-Assessment for an Elearning Environment Using a Linguistic Scorecard for on-line Peer-Assessment

Abstract

Peer-assessment between students is a way to include evaluation as a part of the learning process and to simultaneously cut teacher load in grading of assignments. eLearning systems can be used to automate peer-assessment to a large extent. Peer-assessment benefits from multiple-peer-assessment as it is likely to even-out outliers. Linguistic scorecards that use linguistic scales can be used to simplify assessment. Linguistic terms used can be mapped to fuzzy number scales and the resulting fuzzy scores can then be weighted and aggregated to derive an overall assessment. Sometimes ranking of the overall assessments is performed. This paper presents the foundations of a system that uses linguistic scorecards in peer-assessment and weights for peer-assessment is gained by self-evaluation. After this our system computes the overall score and ranks the assessments. A numerical example is used to illustrate the system