Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Choosing Peers, Improve the Quality of Peer Assessment

Authors
Jinshuang Li, Xiaohan Fu, Qiuwei Yang
Corresponding Author
Jinshuang Li
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.206How to use a DOI?
Keywords
peer assessment; evaluation quality; online education; performance
Abstract

Peer assessment has got a lot of attention because it serves as a useful tool for scaling the grading of open-ended works. But it does not always produce accurate results because of two important reasons: students' ability and students' attitude. Based on students' peer grades and the evaluation attitude in the previous tasks, we proposed a new method to calculate students' evaluation ability value. Then we improved user allocation algorithm. In this way, we can protect learning enthusiasm of all students. Meanwhile, we calculate final score through choosing good students. So we can enhance the credibility of peer grade and show students comments of better quality.

Copyright
© 2017, 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 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.206How to use a DOI?
Copyright
© 2017, 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  - Jinshuang Li
AU  - Xiaohan Fu
AU  - Qiuwei Yang
PY  - 2017/01
DA  - 2017/01
TI  - Choosing Peers, Improve the Quality of Peer Assessment
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.206
DO  - 10.2991/icmmita-16.2016.206
ID  - Li2017/01
ER  -