HisVA: a Visual Analytics System for Learning History

Dongyun Han, Gorakh Parsad, Hwiyeon Kim, Jaekyom Shim, Oh-Sang Kwon, Kyung Son, Jooyoung Lee, Isaac Cho, Sungahn Ko

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View presentation:2021-10-28T18:00:00ZGMT-0600Change your timezone on the schedule page
2021-10-28T18:00:00Z
Exemplar figure, described by caption below
Encouraging students to participate voluntarily in active studying processes is challenging. In conventional history classes, instructors deliver lectures based on textbooks, and such lecture-oriented classes are preferred due to their effectiveness. However, an increasing number of classes in the field of history education have begun to emphasize students’ active participants. In this work, we proposed HisVA, a visual analytics system that allows the efficient exploration of historical events from Wikipedia using three views: A. event, B. map, and C. resource. We present two usage scenarios, a user study with a qualitative analysis of user exploration strategies, and in-class deployment results.
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Direct link to video on YouTube: https://youtu.be/ACWL_4yb5NA

Keywords

Visualization for Education, Event Visualization, Studying History, Wikipedia

Abstract

Studying history involves many difficult tasks. Examples include searching for proper data in a large event space, understanding stories of historical events by time and space, and finding relationships among events that may not be apparent. Instructors who extensively use well-organized and well-argued materials (e.g., textbooks and online resources) can lead students to a narrow perspective in understanding history and prevent spontaneous investigation of historical events, with the students asking their own questions. In this work, we proposed HisVA, a visual analytics system that allows the efficient exploration of historical events from Wikipedia using three views: event, map, and resource. HisVA provides an effective event exploration space, where users can investigate relationships among historical events by reviewing and linking them in terms of space and time. To evaluate our system, we present two usage scenarios, a user study with a qualitative analysis of user exploration strategies, and in-class deployment results