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In this paper, we present the results of an intervention designed to introduce parallel coordinates to students. The intervention contains six new modules inspired by Bloom's taxonomy that featured a combination of videos, tests, and tasks. We studied the impact of our modules with a corrective feedback mechanism inspired by Mastery Learning. Based on analyzing the data of our students, we found that students in the Corrective Immediate Feedback (CIF) group performed better on average on all the modules as compared to the students in the No Feedback (NF) group. In the tasks where students were required to construct parallel coordinates plots, students in the Corrective Immediate Feedback group produced plots with appropriate use of color, labels, legends, etc. Overall, students in both groups grew more confident in their ability to recognize parallel coordinates plots and expressed high confidence in their ability to interpret, create, and use parallel coordinates plots for data exploration and presentation in the future., Visualization and Curricula, Ilena Peng, Elif E. Firat, Robert S. Laramee, and Alark Joshi

By design, interactive tabletops and surfaces provide numerous opportunities for data visualization and analysis. In information visualization, scientific visualization, and visual analytics, useful insights primarily emerge from \emph{interactive} data exploration. Nevertheless, interaction research in these domains has largely focused on mouse-based interactions in the past, with little research on how interactive data exploration can benefit from interactive surfaces. These proceedings represent the results of the DEXIS 2015 Workshop on Data Exploration for Interactive Surfaces. It was held in conjunction with the ACM International Conference on Tabletops and Interactive Surfaces (ITS) in Funchal on the island of Madeira, Portugal, on November 15, 2015.

Time-varying data is huge and contains specific features of interest to an application expert. Standard techniques for visualizing time-varying data such as snapshots and animations are limited in their ability to convey change and draw the user's attention to regions of; interest. Art-inspired techniques are presented to provide temporal context to the domain expert. I present novel visualization techniques that convey change over time in a single image. Illustrators convey change over time using illustrative cues. Time-varying data, in which three-dimensional features are moving over time, can be effectively visualized using illustrative techniques such as speedlines, flow ribbons, strobe silhouettes and opacity based; techniques. I applied these techniques to computational fluid dynamics data and; evaluated the effectiveness of our techniques with the help of a formal user study. The illustration-inspired techniques were also applied to the field of atmospheric physics, where I generated novel hurricane visualizations that allowed collaborators to obtain insight into; the evolution and intensification of a hurricane.; For effectively visualizing time-varying data, such as infant mortality over eight years or global rainfall over an entire century, we developed a novel pointillism-based technique. This technique was inspired by paintings by Seurat, applied the visual color blending theory to place brush strokes close to each other. We applied techniques from pointillistic; paintings to convey variability in time-varying data and to convey trends over time in a single image. The formal user evaluation conducted to evaluate these techniques gave us insight into the strengths of our techniques and led us to the result that users though correct were less confident of their answers as compared to snapshots-based and animation-based techniques.