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Modeling the Evolutionarily Stable Strategies in Learning Community of Peer Assessment

  • School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As a typical means of socialized learning, peer assessment has become a powerful supplement to traditional classroom teaching. However, due to the diversity of participants' educational background, personality, moral standards, and other factors, the learning community will soon differentiate into several behavior strategies: sucker, cheat, grudger, and so on. In this study, we analyze and define the major roles of adopting these strategies in peer review learning communities and propose three propositions of evolutionary stability strategies (ESS). Based on the concept model of peer assessment role evolution, through mathematical deduction, it is proved that the sucker is not an ESS, but the cheat and the grudger are both ESSs. Wishing to build a reciprocal learning community, we put forward two management strategies developing grudger-dominating ESS.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2020
PublisherAssociation for Computing Machinery
Pages317-322
Number of pages6
ISBN (Electronic)9781450372022
DOIs
StatePublished - 16 Oct 2020
Externally publishedYes
Event2020 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2020 - Ottawa, Canada
Duration: 16 Oct 202018 Oct 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2020 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2020
Country/TerritoryCanada
CityOttawa
Period16/10/2018/10/20

Keywords

  • evolutionarily stable strategy (ESS)
  • learning community
  • modeling
  • peer assessment

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