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    Chapter and Conference Paper

    Using Topic Modeling for Code Discovery in Large Scale Text Data

    When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most p...

    Zhiqiang Cai, Amanda Siebert-Evenstone in Advances in Quantitative Ethnography (2021)

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    Chapter and Conference Paper

    The Value of Epistemic Network Analysis in Single-Case Learning Analytics: A Case Study in Lifelong Learning

    Certain educational contexts like lifelong learning have been comparatively understudied, due to the uniqueness of such learning processes, which make it difficult to ascertain generalizable models or average ...

    Luis P. Prieto, María Jesús Rodríguez-Triana in Advances in Quantitative Ethnography (2021)

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    Chapter and Conference Paper

    The Mathematical Foundations of Epistemic Network Analysis

    Epistemic network analysis (ENA) has been used in more than 300 published studies to date. However, there is no work in publication that describes the transformations that constitute ENA in formal mathematical te...

    Dale Bowman, Zachari Swiecki, Zhiqiang Cai in Advances in Quantitative Ethnography (2021)

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    Chapter and Conference Paper

    Directed Epistemic Network Analysis

    Quantitative ethnographers across a range of domains study complex collaborative thinking (CCT): the processes by which members of a group or team develop shared understanding by making cognitive connections f...

    Ariel Fogel, Zachari Swiecki, Cody Marquart in Advances in Quantitative Ethnography (2021)