Incremental Grading in Practice: First Experiences in Higher Education

Publication date

2020-07-01

Authors

Köppe, ChristianORCID 0000-0003-0326-678XISNI 000000041949563X
Verhoeff, Roald P.ISNI 0000000392499314
van Joolingen, Wouter R.ISNI 0000000393908810

Editors

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

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.

Keywords

Taverne, Human-Computer Interaction, Software, Computer Vision and Pattern Recognition, Computer Networks and Communications

Citation

Köppe, C, Verhoeff, R & van Joolingen, W 2020, Incremental Grading in Practice : First Experiences in Higher Education. in EuroPLoP '20: Proceedings of the European Conference on Pattern Languages of Programs 2020., 24, ACM International Conference Proceeding Series, Association for Computing Machinery, New York, NY, USA, pp. 1-11, 2020 European Conference on Pattern Languages of Programs, EuroPLoP 2020, Virtual, Online, Germany, 1/07/20. https://doi.org/10.1145/3424771.3424798, conference