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Advances in Quantitative Ethnography

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Cover of 'Advances in Quantitative Ethnography'

Table of Contents

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    Book Overview
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    Chapter 1 Examining Identity Exploration in a Video Game Participatory Culture
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    Chapter 2 Using ENA to Analyze Pre-service Teachers’ Diagnostic Argumentations: A Conceptual Framework and Initial Applications
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    Chapter 3 The Multimodal Matrix as a Quantitative Ethnography Methodology
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    Chapter 4 nCoder+: A Semantic Tool for Improving Recall of nCoder Coding
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    Chapter 5 Examining the Dynamic of Participation Level on Group Contribution in a Global, STEM-Focused Digital Makerspace Community
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    Chapter 6 What is the Effect of a Dominant Code in an Epistemic Network Analysis?
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    Chapter 7 Tracing Identity Exploration Trajectories with Quantitative Ethnographic Techniques: A Case Study
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    Chapter 8 Adolescents’ Views of Third-Party Vengeful and Reparative Actions
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    Chapter 9 Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game
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    Chapter 10 Use of Training, Validation, and Test Sets for Developing Automated Classifiers in Quantitative Ethnography
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    Chapter 11 Theme Analyses for Open-Ended Survey Responses in Education Research on Summer Melt Phenomenon
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    Chapter 12 Computationally Augmented Ethnography: Emotion Tracking and Learning in Museum Games
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    Chapter 13 Using Process Mining (PM) and Epistemic Network Analysis (ENA) for Comparing Processes of Collaborative Problem Regulation
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    Chapter 14 Students’ Collaboration Patterns in a Productive Failure Setting: An Epistemic Network Analysis of Contrasting Cases
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    Chapter 15 The Influence of Discipline on Teachers’ Knowledge and Decision Making
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    Chapter 16 Let’s Listen to the Data: Sonification for Learning Analytics
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    Chapter 17 Examining the Impact of Virtual City Planning on High School Students’ Identity Exploration
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    Chapter 18 Multiple Uses for Procedural Simulators in Continuing Medical Education Contexts
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    Chapter 19 Cause and Because: Using Epistemic Network Analysis to Model Causality in the Next Generation Science Standards
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    Chapter 20 Student Teachers’ Discourse During Puppetry-Based Microteaching
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    Chapter 21 Using Epistemic Network Analysis to Explore Outcomes of Care Transitions
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    Chapter 22 Exploring the Development of Reflection Among Pre-service Teachers in Online Collaborative Writing: An Epistemic Network Analysis
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    Chapter 23 Epistemic Network Analysis for Semi-structured Interviews and Other Continuous Narratives: Challenges and Insights
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    Chapter 24 Quantitative Multimodal Interaction Analysis for the Assessment of Problem-Solving Skills in a Collaborative Online Game
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    Chapter 25 On the Equivalence of Inductive Content Analysis and Topic Modeling
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    Chapter 26 Using Recent Advances in Contextual Word Embeddings to Improve the Quantitative Ethnography Workflow
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    Chapter 27 The Dynamic Interaction Between Engagement, Friendship, and Collaboration in Robot Children Triads
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    Chapter 28 Effects of Perspective-Taking Through Tangible Puppetry in Microteaching and Reflection on the Role-Play with 3D Animation
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    Chapter 29 A Socio-Semantic Network Analysis of Discourse Using the Network Lifetime and the Moving Stanza Window Method
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    Chapter 30 Designing an Interface for Sharing Quantitative Ethnographic Research Data
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    Chapter 31 Post-hoc Bayesian Hypothesis Tests in Epistemic Network Analyses
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    Chapter 32 Applying Epistemic Network Analysis to Explore the Application of Teaching Assistant Software in Classroom Learning
Overall attention for this book and its chapters
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Mentioned by

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25 tweeters

Readers on

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Title
Advances in Quantitative Ethnography
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-33232-7
ISBNs
978-3-03-033231-0, 978-3-03-033232-7
Editors

Brendan Eagan, Morten Misfeldt, Amanda Siebert-Evenstone

Twitter Demographics

The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Master 5 20%
Student > Doctoral Student 4 16%
Lecturer 2 8%
Student > Bachelor 1 4%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Social Sciences 9 36%
Computer Science 4 16%
Engineering 3 12%
Medicine and Dentistry 2 8%
Psychology 1 4%
Other 2 8%
Unknown 4 16%