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Titlebook: Advances in Quantitative Ethnography; 6th International Co Yoon Jeon Kim,Zachari Swiecki Conference proceedings 2024 The Editor(s) (if appl

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https://doi.org/10.1007/978-3-642-50681-9e identify as being focused on methodological advancement, assessments, and specific learning aims. One key difference we find setting these clusters apart is the articles’ use of learning theory, which is a difference that emerges from our QE-informed analysis and which elaborates on a trend noted in other reviews.
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Closing the Interpretive Loop with BERT, Our Neural Topic Modeling Friendithin a stanza window was critical to the effectiveness of BERTopic in developing interpretable and representative topics. We suggest that integrating neural topic modeling, such as BERTopic, with an Only Coded Lines approach can enhance the interpretative process in QE studies.
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https://doi.org/10.1007/978-3-662-25664-0rs to edit their codebook and then dynamically view the resulting ENA networks for the entire class and individual students. Through empirical investigation, we assess this tool’s effectiveness to help instructors in analyzing asynchronous online discussion assignments.
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OnDiscuss: An Epistemic Network Analysis Learning Analytics Visualization Tool for Evaluating Asynchrs to edit their codebook and then dynamically view the resulting ENA networks for the entire class and individual students. Through empirical investigation, we assess this tool’s effectiveness to help instructors in analyzing asynchronous online discussion assignments.
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1865-0929 nography, ICQE 2024, held in Philadelphia, PA, USA, during November 3-7, 2024...The 31 full papers and 10 short papers included in this book were carefully reviewed and selected from 82 submissions. They are organized in the following topical sections:. .Theory and Methods; Teaching and Learning; an
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