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VolumeVisual: Design and Evaluation of an Educational Software Tool for Teaching and Learning Volume Visualization

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Computers in Education 2 - Programming 2

Tagged Division

Computers in Education

Page Count

15

Permanent URL

https://peer.asee.org/38034

Download Count

95

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Paper Authors

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Xueyi Bao Notre Dame University

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Xueyi Bao is a phD Student in Notre Dame from 2019-2020.

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Jun Han University of Notre Dame

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Jun Han is a PhD student at the University of Notre Dame. He received a BS degree in software engineering and a MS degree in computer software and theory in 2014 and 2017, respectively. Both degrees are from Xidian University. His current research focuses on applying deep learning techniques to solve data visualization problems.

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Chaoli Wang University of Notre Dame

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Dr. Chaoli Wang is an associate professor of computer science and engineering at the University of Notre Dame. He holds a Ph.D. degree in computer and information science from The Ohio State University. Dr. Wang's research interests include scientific visualization, visual analytics, visualization in education, user interface and interaction, and high-performance visualization.

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Abstract

Visualizing three-dimensional volumetric data sets, often referred to as volume visualization, has been an essential topic in scientific visualization. Volume visualization is concerned with visualizing scalar field data (e.g., temperature, pressure, intensity). Existing software tools can perform interactive visualization of volumetric data sets. However, these tools are often sophisticated and mainly geared towards researchers and developers. In this paper, we present VolumeVisual, a web-based educational software tool for teaching and learning volume visualization. VolumeVisual integrates the two most popular volume visualization techniques, direct volume rendering and isosurface rendering, to give students a comprehensive understanding of basic concepts and algorithms. The software tool includes a study component and a quiz component. Effectiveness of VolumeVisual is evaluated by conducting a formal user study consisting of an introduction and training session, a survey, followed by a quiz.

Bao, X., & Han, J., & Wang, C. (2021, July), VolumeVisual: Design and Evaluation of an Educational Software Tool for Teaching and Learning Volume Visualization Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/38034

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