Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

Using a Linguistic Scorecard for Peer-Assessment Through an On-Line System

Authors
Pasi Luukka, Mikael Collan
Corresponding Author
Pasi Luukka
Available Online August 2013.
DOI
10.2991/eusflat.2013.31How to use a DOI?
Keywords
Peer-assessment linguistic variables scorecard Fuzzy OWA
Abstract

Peer-assessment is a way to include evaluation as a part of the learning process and simultaneously to 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 can be used to simplify assessment. The linguistic scales can be mapped to fuzzy scales and the results weighted and aggregated to derive an overall assessment. Sometimes ranking of the outcomes is needed. This paper presents the foundations of a system that uses linguistic scorecards in peer-assessment that uses self-evaluation in weighting results, and that ranks the assessments. A numerical example is used to illustrate the system.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
10.2991/eusflat.2013.31How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pasi Luukka
AU  - Mikael Collan
PY  - 2013/08
DA  - 2013/08
TI  - Using a Linguistic Scorecard for Peer-Assessment Through an On-Line System
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 214
EP  - 219
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.31
DO  - 10.2991/eusflat.2013.31
ID  - Luukka2013/08
ER  -