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Lessons Learned From Quantitatively Exploring Visualization Rubric Utilization for Peer Feedback.
- Source :
-
IEEE computer graphics and applications [IEEE Comput Graph Appl] 2023 Jan-Feb; Vol. 43 (1), pp. 10-21. Date of Electronic Publication: 2023 Feb 02. - Publication Year :
- 2023
-
Abstract
- We present our experience of adapting a rubric for peer feedback in our data visualization course and exploring the utilization of that rubric by students across two semesters. We first discuss the results of an automatable quantitative analysis of the rubric responses, and then compare those results to a qualitative analysis of summative survey responses from students regarding the rubric and peer-feedback process. We conclude with lessons learned about the visualization rubric we used, as well as what we learned more broadly about using quantitative analysis to explore this type of data. These lessons may be useful for other educators wanting to utilize the same data visualization rubric, or wanting to explore the utilization of rubrics already deployed for peer feedback.
Details
- Language :
- English
- ISSN :
- 1558-1756
- Volume :
- 43
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- IEEE computer graphics and applications
- Publication Type :
- Academic Journal
- Accession number :
- 35139010
- Full Text :
- https://doi.org/10.1109/MCG.2022.3149683