18 Result(s)
within
Conference Paper
Brendan Eagan
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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
Does Active Learning Reduce Human Coding?: A Systematic Comparison of Neural Network with nCoder
In quantitative ethnography (QE) studies which often involve large datasets that cannot be entirely hand-coded by human raters, researchers have used supervised machine learning approaches to develop automated...
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Chapter and Conference Paper
LSTM Neural Network Assisted Regex Development for Qualitative Coding
Regular expression (regex) based automated qualitative coding helps reduce researchers’ effort in manually coding text data, without sacrificing transparency of the coding process. However, researchers using r...
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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
The Foundations and Fundamentals of Quantitative Ethnography
As the Quantitative Ethnography (QE) community becomes more inter-disciplinary, it will need multiple theoretical accounts to fit with the multiple epistemologies of researchers. Thus, in this paper, we provid...
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Chapter and Conference Paper
The Role of Data Simulation in Quantitative Ethnography
Data simulations are powerful analytic tools that give researchers a great degree of control over data collection and experimental design. Despite these advantages, data simulations have not yet received the s...
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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...
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Chapter and Conference Paper
Zero Re-centered Projection: An Alternative Proposal for Modeling Empty Networks in ENA
This paper examines the impact of having empty networks in an Epistemic Network Analysis model, that is, units whose networks contain no connections in a given model. These empty networks, also known as zero p...
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Chapter and Conference Paper
Quality and Safety Education for Nursing (QSEN) in Virtual Reality Simulations: A Quantitative Ethnographic Examination
In this paper, we argue that virtual reality (VR) simulations can be used to (a) scaffold nursing students’ practice of cognitive-psychomotor-social skills, and (b) provide feedback on their decisions; thus, m...
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Chapter and Conference Paper
Deliberation as an Epistemic Network: A Method for Analyzing Discussion
Deliberations are discussions about what an institution, community, or nation should do, and are essential for maintaining a robust democracy. This study examined whether Epistemic Network Analysis (ENA) can c...
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Chapter and Conference Paper
Methodology in the Mirror: A Living, Systematic Review of Works in Quantitative Ethnography
Quantitative Ethnography is a nascent field now formulating the specifics of its conceptual framework and terminology for a unified, quantitative – qualitative methodology. Our living, systematic review aims t...
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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
Student Teachers’ Discourse During Puppetry-Based Microteaching
This study investigates how puppetry-based tabletop microteaching systems can contribute to student teacher training compared with normal microteaching. The study analyzes student teachers’ discourse using a ...
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Chapter and Conference Paper
Effects of Perspective-Taking Through Tangible Puppetry in Microteaching and Reflection on the Role-Play with 3D Animation
Perspective-taking of a wide variety of pupils or students is fundamental in designing a dialogic classroom. As a vehicle of perspective-taking, a tangible puppetry CSCL can create a learning environment that ...
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Chapter and Conference Paper
nCoder+: A Semantic Tool for Improving Recall of nCoder Coding
Coding is a process of assigning meaning to a given piece of evidence. Evidence may be found in a variety of data types, including documents, research interviews, posts from social media, conversations from l...
