TY - GEN
T1 - Fuzzy scoring theory applied to team-peer assessment: additive vs. multiplicative scoring models on the signed or unsigned unit interval
AU - Vossen, P H
AU - Ajit, Suraj
PY - 2020/8/18
Y1 - 2020/8/18
N2 - Teamwork in educational settings for learning and assessment has a long tradition. The reasons, goals and methods for introducing teamwork in courses may vary substantially. However, in the end, teamwork must be assessed at the group level as well as on the student level. The lecturer must be able to give students credit points or formal grades for their joint output (product) as well as for their cooperation in the team (process). Schemes for such multicriteria quantitative assessments appear difficult to define in a plausible way. Over the last five decades, plenty proposals for assessing teamwork processes and products on team and student level have been given using diverse scoring schemes. There is a broad field of empirical research and practical advice about how team-based educational assessment might be set up, implemented, improved, and accepted by staff and students. However, the underlying methodological problems with respect to the merging of several independent measurements has been severely underestimated. Here, we offer an entirely new paradigm and taxonomy of teamwork-based assessment following a rigorous fuzzy-algebraic approach based on two core notions: quasi-arithmetic means, and split-join-invariance. We will show how our novel approach solves the problem of team-peer-assessment by means of appropriate software tools.
AB - Teamwork in educational settings for learning and assessment has a long tradition. The reasons, goals and methods for introducing teamwork in courses may vary substantially. However, in the end, teamwork must be assessed at the group level as well as on the student level. The lecturer must be able to give students credit points or formal grades for their joint output (product) as well as for their cooperation in the team (process). Schemes for such multicriteria quantitative assessments appear difficult to define in a plausible way. Over the last five decades, plenty proposals for assessing teamwork processes and products on team and student level have been given using diverse scoring schemes. There is a broad field of empirical research and practical advice about how team-based educational assessment might be set up, implemented, improved, and accepted by staff and students. However, the underlying methodological problems with respect to the merging of several independent measurements has been severely underestimated. Here, we offer an entirely new paradigm and taxonomy of teamwork-based assessment following a rigorous fuzzy-algebraic approach based on two core notions: quasi-arithmetic means, and split-join-invariance. We will show how our novel approach solves the problem of team-peer-assessment by means of appropriate software tools.
KW - Performance assessment scoring systems
KW - Team-peer-assessment
KW - Collaborative learning
KW - Learning groups
KW - Scoring algebra
KW - Additive scoring
KW - Multiplicative scoring
KW - Quasi-arithmetic means
KW - Split-join-invariance
KW - Scoring function
KW - Scoring equation
KW - Peer rating
KW - Student scoring
KW - Zooming factor
UR - https://www.mendeley.com/catalogue/8cbcf67f-7091-3820-97cc-8b371aecdca6/
U2 - 10.1007/978-3-030-52190-5_7
DO - 10.1007/978-3-030-52190-5_7
M3 - Conference Contribution
SN - 978-3-030-52189-9
VL - 1222
T3 - Advances in Intelligent Systems and Computing
SP - 84
EP - 111
BT - Soft Computing Applications
A2 - Balas, Valentina Emilia
A2 - Jain, Lakhmi C.
A2 - Balas, Marius Mircea
A2 - Shahbazova, Shahnaz N.
PB - Springer
T2 - 8th International Workshop on Soft Computing Applications, SOFA 2018
Y2 - 13 September 2015 through 15 September 2015
ER -