Mitigating Generosity Bias in Peer Assessment: a Tool for Oral Class Presentations

Lihi Dery, Matan Lange

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

Abstract

In higher education courses, peer grading can keep students engaged during class presentations. Defining how students grade the work of their peers requires careful consideration. Two commonly used approaches exist. The first involves asking students to order the projects from best to worst. However, this approach imposes a high cognitive load on students, as ordering numerous projects is challenging. The second and most prevalent approach involves soliciting qualitative or numerical scores from students. However, a common challenge arises as students tend to be generous in the scores they assign their peers. Consequently, this leads to a situation where all projects receive similar, high grades. To address this challenge, we have developed a novel, interactive model. This model requires students to provide grades and to respond to a few pairwise comparison questions when necessary. The model was implemented as a mobile web application and tested in a university course, confirming its validity and efficiency.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024
EditorsZehra Altinay, Maiga Chang, Rita Kuo, Ahmed Tlili
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages274-276
Number of pages3
ISBN (Electronic)9798350362053
DOIs
StatePublished - 2024
Event24th IEEE International Conference on Advanced Learning Technologies, ICALT 2024 - Hybrid, Nicosia, Cyprus
Duration: 1 Jul 20244 Jul 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024

Conference

Conference24th IEEE International Conference on Advanced Learning Technologies, ICALT 2024
Country/TerritoryCyprus
CityHybrid, Nicosia
Period1/07/244/07/24

Keywords

  • Interactive learning
  • learning technologies
  • peer assessment
  • peer evaluation
  • peer grading
  • preference elicitation
  • technology-enhanced assessment

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