Virtual On line
June 22, 2020
June 22, 2020
June 26, 2021
Computers in Education
Graphs are ubiquitous in representing data from various fields, such as biological interactions, geographic knowledge, and engineering problems. They allow users to acquire a quick overview of how the data entities are spread and connected in order to gain insights from the data. Many software tools exist to depict and explore graphs. However, there is a lack of tools dedicated to assisting students in learning graph visualization and related concepts. We present GraphVisual, an educational software tool that provides an accessible web interface for students to interact with and explore graph visualizations of real-world data sets of different sizes and characteristics. GraphVisual integrates several popular graph layout algorithms to enable users to discover patterns, outliers, and other features of these data sets. GraphVisual allows users to compare and evaluate different graph visualization techniques from two side-by-side graph display panels, which are supported by a set of interaction functions. To demonstrate the utility of GraphVisual and assess its effectiveness, we conducted a formal user study with two groups: students who were enrolled in a college-level data visualization course and doctoral computer science students who did not take the course. The study includes an introduction, a training session, a survey, and an in-class quiz that is integrated into GraphVisual.
Imre, M., & Chang, W., & Wang, S., & Trinter, C. P., & Wang, C. (2020, June), GraphVisual: Design and Evaluation of a Web-Based Visualization Tool for Teaching and Learning Graph Visualization Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34715
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