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A Temporal Visual Distribution of Learning Activities in FLOSS Repositories

Mukala, Patrick (2016) A Temporal Visual Distribution of Learning Activities in FLOSS Repositories. Technical Report del Dipartimento di Informatica, TR . Università di Pisa, Pisa, IT. (Submitted)

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    Process mining is a relatively new field that encompasses powerful data and process analytics techniques for understanding processes from event data. In addition to these main techniques, it provides means enabling a pictorial representation of the occurrence of events over time. By applying such visualizations to event data from Free/Libre Open Source Software (FLOSS) environments, we get a complete understanding of how certain activities take place within such environments over time. Particularly, given the increasing interests in learning paradigms present in FLOSS communities, we believe that a temporal visual representation of learning events can yield great benefits. In this paper, we make use of the dotted chart in process mining to model and present a representation of learning behaviours over time for FLOSS participants

    Item Type: Book
    Uncontrolled Keywords: Dotted Chart, FLOSS Data,Educational Data Mining, Learn-inginFLOSS, Learning Visualization,Learning Analytic
    Subjects: Area01 - Scienze matematiche e informatiche > INF/01 - Informatica
    Divisions: Dipartimenti (from 2013) > DIPARTIMENTO DI INFORMATICA
    Depositing User: Prof. Franco Turini
    Date Deposited: 26 Sep 2016 09:11
    Last Modified: 26 Sep 2016 09:11
    URI: http://eprints.adm.unipi.it/id/eprint/2360

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