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Advances in Quantitative Ethnography

Second International Conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Andrew R. Ruis

    1. University of Wisconsin–Madison, Madison, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Seung B. Lee

    1. Pepperdine University, Malibu, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1312)

Included in the following conference series:

Conference proceedings info: ICQE 2021.

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Table of contents (29 papers)

  1. Front Matter

    Pages i-xi
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  2. Theory and Methodology

    1. Front Matter

      Pages 1-1
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    2. Scoping the Emerging Field of Quantitative Ethnography: Opportunities, Challenges and Future Directions

      • Rogers Kaliisa, Kamila Misiejuk, Golnaz Arastoopour Irgens, Morten Misfeldt
      Pages 3-17

    3. Using Topic Modeling for Code Discovery in Large Scale Text Data

      • Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan Eagan, David Williamson Shaffer
      Pages 18-31

    4. Epistemic Frames and Political Discourse Modeling

      • Eric Hamilton, Woodson Hobbs
      Pages 32-46

    5. Establishing Trustworthiness Through Algorithmic Approaches to Qualitative Research

      • Ha Nguyen, June Ahn, Ashlee Belgrave, Jiwon Lee, Lora Cawelti, Ha Eun Kim et al.
      Pages 47-61

    6. How We Code

      • David Williamson Shaffer, A. R. Ruis
      Pages 62-77

    7. Exploring the Effects of Segmentation on Semi-structured Interview Data with Epistemic Network Analysis

      • Szilvia Zörgő, Zachari Swiecki, A. R. Ruis
      Pages 78-90

    8. The Mathematical Foundations of Epistemic Network Analysis

      • Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan Eagan, Jeff Linderoth et al.
      Pages 91-105

    9. Trajectories in Epistemic Network Analysis

      • Jais Brohinsky, Cody Marquart, Junting Wang, A. R. Ruis, David Williamson Shaffer
      Pages 106-121

    10. Directed Epistemic Network Analysis

      • Ariel Fogel, Zachari Swiecki, Cody Marquart, Zhiqiang Cai, Yeyu Wang, Jais Brohinsky et al.
      Pages 122-136

    11. Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment

      • Yeyu Wang, Zachari Swiecki, A. R. Ruis, David Williamson Shaffer
      Pages 137-151

  3. Case Studies

    1. Front Matter

      Pages 153-153
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    2. Connecting Curricular Design and Student Identity Change: An Epistemic Network Analysis

      • Amanda Barany, Mamta Shah, Aroutis Foster
      Pages 155-169

    3. Socio-semantic Network Analysis of Knowledge-Creation Discourse on a Real-Time Scale

      • Ayano Ohsaki, Jun Oshima
      Pages 170-184

    4. Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment

      • Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker
      Pages 185-201

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

      • Luis P. Prieto, María Jesús Rodríguez-Triana, Tobias Ley, Brendan Eagan
      Pages 202-217

    6. Counting the Game: Visualizing Changes in Play by Incorporating Game Events

      • Jennifer Scianna, David Gagnon, Bryan Knowles
      Pages 218-231

    7. “What Would Happen if Humans Disappeared from Earth?” Tracing and Visualizing Change in a Pre-School Child’s Domain-Related Curiosities

      • Mamta Shah, Amanda Barany, Amanda Siebert-Evenstone
      Pages 232-247

    8. Does Social Presence Play a Role in Learners’ Positions in MOOC Learner Network? A Machine Learning Approach to Analyze Social Presence in Discussion Forums

      • Wenting Zou, Zilong Pan, Chenglu Li, Min Liu
      Pages 248-264
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Other volumes

  1. Advances in Quantitative Ethnography

Keywords

About this book

This book constitutes the refereed proceedings of the Second International Conference on Quantitative Ethnography, ICQE 2020, held in February 2021. Due to the COVID-19 pandemic the conference has been postponed to 2021 and was held in online format. 

The 28 full papers were selected from 56 submissions. The contributions in this volume come from diverse fields and perspectives, and present the studies on advantages of using quantitative ethnography methods and techniques in a number of different domains and contexts, including ethnography and statistics, human interpretation and machine processing, etc.

Editors and Affiliations

  • University of Wisconsin–Madison, Madison, USA

    Andrew R. Ruis

  • Pepperdine University, Malibu, USA

    Seung B. Lee

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