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Conference Paper: Towards Better Grading: Promoting Grading Fairness with Assessment Decision Tree Visualization

TitleTowards Better Grading: Promoting Grading Fairness with Assessment Decision Tree Visualization
Authors
Chai, YQi, XALi, KCHKushnazarov, MYau, CWDong, YLei, CU
KeywordsAssessment Fairness
Decision Tree
Visualization
Issue Date2020
PublisherSociety for Learning Analytics Research (SoLAR). The Proceedings' web site is located at https://www.solaresearch.org/events/lak/
Citation
Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK20): Celebrating 10 years of LAK: Shaping the future of the field, virtual Conference, Frankfurt, Germany, 23-27 March 2020, p. 168-169 How to Cite?
AbstractAssessment fairness has been a challenging issue in educational practice, particularly for large-scale courses in which multiple graders are involved. In order to help guarantee grading fairness, this paper proposes an approach—‘assessment decision tree visualization’—that enables graders to identify error cases and adjust the grading if necessary. After implementing the approach into a university course with 136 students, results showed such visualizations could help teachers achieve fairer grading practices
DescriptionPractitioner Poster - no. 405
The Conference was held virtually due to COVID-19
Organized by the Society for Learning Analytics Research (SoLAR)
Persistent Identifierhttp://hdl.handle.net/10722/286121

 

DC FieldValueLanguage
dc.contributor.authorChai, Y-
dc.contributor.authorQi, XA-
dc.contributor.authorLi, KCH-
dc.contributor.authorKushnazarov, M-
dc.contributor.authorYau, CW-
dc.contributor.authorDong, Y-
dc.contributor.authorLei, CU-
dc.date.accessioned2020-08-31T06:59:25Z-
dc.date.available2020-08-31T06:59:25Z-
dc.date.issued2020-
dc.identifier.citationCompanion Proceedings of the 10th International Conference on Learning Analytics & Knowledge (LAK20): Celebrating 10 years of LAK: Shaping the future of the field, virtual Conference, Frankfurt, Germany, 23-27 March 2020, p. 168-169-
dc.identifier.urihttp://hdl.handle.net/10722/286121-
dc.descriptionPractitioner Poster - no. 405-
dc.descriptionThe Conference was held virtually due to COVID-19-
dc.descriptionOrganized by the Society for Learning Analytics Research (SoLAR)-
dc.description.abstractAssessment fairness has been a challenging issue in educational practice, particularly for large-scale courses in which multiple graders are involved. In order to help guarantee grading fairness, this paper proposes an approach—‘assessment decision tree visualization’—that enables graders to identify error cases and adjust the grading if necessary. After implementing the approach into a university course with 136 students, results showed such visualizations could help teachers achieve fairer grading practices-
dc.languageeng-
dc.publisherSociety for Learning Analytics Research (SoLAR). The Proceedings' web site is located at https://www.solaresearch.org/events/lak/-
dc.relation.ispartofInternational Conference on Learning Analytics & knowledge, LAK20-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAssessment Fairness-
dc.subjectDecision Tree-
dc.subjectVisualization-
dc.titleTowards Better Grading: Promoting Grading Fairness with Assessment Decision Tree Visualization-
dc.typeConference_Paper-
dc.identifier.emailChai, Y: yqchai@hku.hk-
dc.identifier.emailQi, XA: Andreaq@hku.hk-
dc.identifier.emailKushnazarov, M: kmansurd@hku.hk-
dc.identifier.emailYau, CW: mcwyau@hku.hk-
dc.identifier.emailDong, Y: yifei999@hku.hk-
dc.identifier.emailLei, CU: culei@hku.hk-
dc.identifier.authorityLei, CU=rp01908-
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros313302-
dc.identifier.spage168-
dc.identifier.epage169-
dc.publisher.placeGermany-

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