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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...
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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 ...
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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...
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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...
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Chapter and Conference Paper
Negative Reversion: Toward Intelligent Co-raters for Coding Qualitative Data in Quantitative Ethnography
Artificial intelligence has been applied to simulate many human activities in Quantitative Ethnography(QE). This paper evaluates the creation of an intelligent co-rater for coding qualitative (text) data in QE...
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Chapter and Conference Paper
A Lightweight Interactive Regular Expression Generator for Qualitative Coding in Quantitative Ethnography
Quantitative ethnography approaches are often used to analyze large scale qualitative data. Manually coding such data is expensive and time consuming, if not impractical or impossible. In contrast, machine lea...
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Chapter and Conference Paper
Develo** Nursing Students’ Practice Readiness with Shadow Health® Digital Clinical Experiences \(^{\textrm{TM}}\) : A Transmodal Analysis
This study applied Transmodal Analysis (TMA), a newly developed quantitative ethnographic approach, to examine whether and how virtual patient simulations can aid in educating undergraduate nursing students wi...