Incremental Grading in Practice: First Experiences in Higher Education

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

Abstract

Incremental Grading is a student-driven assessment approach where students have the responsibility to grade their own work based on pre-defined assessment criteria, usually rubrics. The desired outcomes of Incremental Grading are higher self-assessment skills, higher ownership of learning, lower degree of procrastination, and a more distributed workload for teachers.

The approach has been described as a pattern language in previous work and has now been applied in two courses for academic teaching. In this experience report we evaluate the effectiveness of Incremental Grading in these courses, using a mixed-method approach. The results show that Incremental Grading has a positive impact on the self-assessment skills of students, can positively affect the quality of their work and consequently their final grades, and makes teacher's feedback more valuable.
Original languageEnglish
Title of host publicationEuroPLoP '20: Proceedings of the European Conference on Pattern Languages of Programs 2020
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Pages1-11
Number of pages11
ISBN (Print)9781450377690
DOIs
Publication statusPublished - 1 Jul 2020
Event2020 European Conference on Pattern Languages of Programs, EuroPLoP 2020 - Virtual, Online, Germany
Duration: 1 Jul 20204 Jul 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2020 European Conference on Pattern Languages of Programs, EuroPLoP 2020
Country/TerritoryGermany
CityVirtual, Online
Period1/07/204/07/20

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