Visual Peer Review is a process where students collaboratively critique and improve each other’s visualization works.
We are currently working on a collaborative platform that students, researchers, and educators can use to share visualizations and receive constructive comments and rubric scores from one another.
Our Team
Alon Friedman
Associate Professor
The School of Information
College of Arts and Sciences
University of
South Florida
Kevin Hawley
Master Instructor
The Zimmerman School of Advertising & Mass Communications
University of
South Florida
Paul Rosen
Associate Professor
Scientific Computing and Imaging Institute
University of UTAH
Md Dilshadur Rahman
Graduate Research Assistant, Ph.D. Student
Scientific Computing and Imaging Institute
University of UTAH
Journals and Conferences
JOURNAL PUBLICATION
2022
Friedman, A
“Visualizing protein data sets in R through a student peer-review rubric”
Biochemistry and Molecular Biology Education
LINKJOURNAL PUBLICATION
2021
Beasley, Z
Friedman, A
& Rosen, P
“Through the Looking Glass: Insights into Visualization Pedagogy through Sentiment Analysis of Peer Review Text”
IEEE Computer Graphics and Applications
LINKJOURNAL PUBLICATION
2019
Friedman, A
“Toward peer-review software and a rubric application in visual analytics classes: A case study”
Education for Information Special issue: Visual Learning by Education for Information
LINKConference
2024
Friedman,A
Hawley, K
Rosen, P
& Md Dilshad Rahman
“Enhancing Student Feedback Using Predictive Models in Visual Literacy Courses.”
IEEE EDUCON
Kos, Greece
LINK
ConferenceConference
2023
Beasley, Z
Friedman, A
& Rosen, P
“Through the Looking Glass: Insights into Visualization Pedagogy through Sentiment Analysis of Peer Review Text”
IEEE Vis Conference
Oklahoma City, OK
Conference
2022
Beasley, Z
Friedman, A
& Rosen, P
“Through the Looking Glass: Insights into Visualization Pedagogy through Sentiment Analysis of Peer Review Text”
IEEE Vis Conference
Oklahoma City, OK
Conference
2020
Beasley, Z
Friedman, A
Piegl, L
& Rosen, P
“Leveraging Peer Feedback to Improve Visualization Education”
IEEE Pacific Visualization Symposium (PacificVis)
Tianjin, China
Thanks
We would like to thank the National Science Foundation (NSF) under the Division of Undergraduate Education (DUE) and the Directorate for Education and Human Resources (EHR) for their support through Grant No. 2216227
LINK TO AWARD