EuroVisShort2019

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https://diglib.eg.org/handle/10.2312/2632781

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Browsing EuroVisShort2019 by Subject "Applied computing"

Now showing 1 - 3 of 3
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    The Design Space of SparkWords
    (The Eurographics Association, 2019) Brath, Richard; MacMurchy, Peter; Banissi, Ebad; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
    The design space of SparkWords is consistently-sized words; embedded in sequential text (e.g. prose, lists); embellished by adding data, including categoric, ordered or quantitative data, that is encoded by a variety of attributes (singular or multiple) applied to words or letters. The breadth of the design space is illustrated with historic examples and novel implementations.
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    MOOCad: Visual Analysis of Anomalous Learning Activities in Massive Open Online Courses
    (The Eurographics Association, 2019) Mu, Xing; Xu, Ke; Chen, Qing; Du, Fan; Wang, Yun; Qu, Huamin; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
    The research on Massive Open Online Course (MOOC) has mushroomed worldwide due to the technical revolution and its unprecedented enrollments. Existing work mainly focuses on performance prediction, content recommendation, and learning behavior summarization. However, finding anomalous learning activities in MOOC data has posed special challenges and requires providing a clear definition of anomalous behavior, analyzing the multifaceted learning sequence data, and interpreting anomalies at different scales. In this paper, we present a novel visual analytics system, MOOCad, for exploring anomalous learning patterns and their clustering in MOOC data. The system integrates an anomaly detection algorithm to cluster learning sequences of MOOC learners into staged-based groups. Moreover, it allows interactive anomaly detection between and within groups on the basis of semantic and interpretable group-wise data summaries. We demonstrate the effectiveness of MOOCad via an in-depth interview with a MOOC lecturer with real-world course data.
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    Viz-Blocks: Building Visualizations and Documents in the Browser
    (The Eurographics Association, 2019) McNeill, Graham; Hale, Scott A.; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
    Viz-Blocks is a simple browser-based UI for data exploration and document creation. It incorporates the Vega-Lite grammar of graphics for standard visualizations (including multiple views and interaction) whereas 'code blocks' provide the full power of the JavaScript ecosystem for creating custom visualizations and other bespoke content. Visualizations are treated as reusable 'blocks' that are easily created, modified and compared during exploration. When preparing results for dissemination, visualizations can be customized and combined with Markdown and image blocks to produce a single or multi-page HTML document that is easily styled and exported. Viz-blocks was designed in consultation with academics, students and policy makers to bridge the gap between visualization tools and more traditional document-authoring tools. The application is aimed at a wide audience: the lightweight, hybrid UI allows all users to access the core functionality, while experienced users can take advantage of code-blocks and the option to use advanced features of Vega-Lite via JSON/YAML snippets.