Times may be adjusted slightly in the coming weeks, and additional sessions will be added to the 16th, 17th, and 18th as times are confirmed. More details coming soon!

October 15

October 16

October 17

11:00 AM – 12:00 PM CET

Exploring Professional Engagement and Learning
  1. Mathematics Teachers’ Knowledge for Teaching Proportion: Using Two Frameworks to Understand Knowledge in Action
    Chandra Orrill and Rachael Brown
  2. Learning through feedback: Understanding early-career teachers’ learning using online video platforms
    Lara Condon
  3. Change the Museum: Examining social media posts on museum workplace experiences to support justice, equity, diversity, and inclusion (JEDI) efforts
    Danielle Espino, Bryan Keene, and Payten Werbowsky

Policy in Practice
  1. Quantitative Ethnography of Policy Ecosystems: A Case Study on Climate Change Adaptation Planning
    Andrew Ruis
  2. Computational thinking in educational policy – the relationship between goals and practices
    Andreas Tamborg, Liv Nøhr, Emil Bøgh Løkkegaard and Morten Misfeldt
  3. Political Discourse Modeling with Epistemic Network Analysis and Quantitative Ethnography: Rationale and Examples
    Eric Hamilton and Andrew Hurford

Formalizing QE Foundations
  1. The Foundations and Fundamentals of Quantitative Ethnography
    Golnaz Arastoopour Irgens and Brendan Eagan
  2. Parsing the Continuum: Manual Segmentation of Monologic Data
    Szilvia Zörgő and Jais Brohinsky
  3. Does Active Learning Reduce Human Coding?: A Systematic Comparison of Neural Network with nCoder
    Jaeyoon Choi, Andrew Ruis, Zhiqiang Cai, Brendan Eagan and David Shaffer

October 18

9:30 AM – 10:30 AM CET

Student Learning and Self-Regulation
  1. Understanding Detectors for SMART Model Cognitive Operation in Mathematical Problem-Solving Process: An Epistemic Network Analysis
    Mengqian Wu, Jiayi Zhang and Amanda Barany
  2. Modeling Students’ Performances in Physics Assessment Tasks Using Epistemic Network Analysis
    Hamideh Talafian and Housn Kang
  3. Self-Regulation in Foreign Language Students’ Collaborative Discourse for Academic Writing: An Explorative Case Study on Epistemic Network Analysis
    Ward Peeters, Olga Viberg and Daniel Spikol

Engaging Participants in Research
  1. How Can We Co-Design Learning Analytics for Game-Based Assessment: ENA Analysis
    Yoon Jeon Kim, Jennifer Scianna and Mariah Knowles
  2. Analyzing the Co-design Process by Engineers and Product Designers from Perspectives of Knowledge Building
    Ayano Ohsaki and Jun Oshima
  3. Creating and Discussing Discourse Networks with Research Participants: What Can we Learn?
    Hazel Vega Quesada

Initiating a Discussion on Reporting Practices in Quantitative Ethnography

Savannah Donegan, Diána Dunai, Brendan Eagan, Rogers Kaliisa, Marcia Moraes, Gjalt-Jorn Peters, Clara Porter, and Szilvia Zörgő

Reporting is an essential aspect of all research, including the field of quantitative ethnography (QE), especially when using QE’s flagship analysis tool, Epistemic Network Analysis (ENA). In this symposium, a disciplinarily diverse set of speakers who have collaborated on a systematic review of the QE field will assemble to share explanations and examples of how reporting features and practices specific to QE can enhance the understanding, transparency, and confirmability of research. Symposium attendees will be engaged in a dialogue on how to develop rigorous and widely accessible QE reporting guidelines as the discipline continues to develop.

11:00 AM – 12:00 PM CET

Understanding Online Collaboration
  1. Community at a Distance: Understanding Student Interactions in Course-Based Online Discussion Forums
    Jennifer Scianna, Monique Woodard, Beatriz Galarza, Seiyon Lee, Rogers Kaliisa and Hazel Vega Quesada
  2. Modeling Collaborative Discourse with ENA using a Probabilistic Function
    Yeyu Wang, Andrew Ruis and David Shaffer
  3. What makes a good answer? Analyzing the Content Structure of Stack Overflow Answers
    Luis Morales-Navarro and Amanda Barany

Shared Experiences through a QE Lens
  1. An Examination of Student Loan Borrowers’ Attitudes toward Debt before and during COVID-19
    Dara Bright and Amanda Barany
  2. Ukraine War Diaries: Examining lived experiences in Kyiv during the 2022 Russian invasion
    Danielle Espino, Kristina Lux, Heather Orrantia, Samuel Green, Haille Trimboli and Seung Lee
  3. Leveraging Epistemic Network Analysis to Discern the Development of Shared Understanding between Physicians and Nurses
    Vitaliy Popov, Raeleen Sobetski, Taylor Jones, Luke Granberg, Kiara Turvey and Milisa Manojlovich

Advances in Modeling
  1. Multiclass Rotations in Epistemic Network Analysis
    Mariah Knowles, Amanda Barany, Zhiqiang Cai and David Shaffer
  2. Ordered Network Analysis
    Yuanru Tan, Andrew Ruis, Cody Marquart, Zhiqiang Cai, Mariah Knowles and David Williamson Shaffer
  3. Operationalizing Relational Context with Stanza Windows
    Szilvia Zörgő

October 19

9:30 AM – 10:30 AM CET

Advances in QE Automation and Simulation
  1. Automated Code Extraction from Discussion Board Text Dataset
    Sina Mahdipour Saravani, Sadaf Ghaffari, Yanye Luther, James Folkestad and Marcia Moraes
  2. The Role of Data Simulation in Quantitative Ethnography
    Zachari Swiecki and Brendan Eagan
  3. Neural Network Assisted Regex Development for Qualitative Coding
    Zhiqiang Cai, Brendan Eagan, Cody Marquart and David Shaffer

Broadening Perspectives on QE
  1. Reducing networks of ethnographic codes co-occurrence in anthropology
    Alberto Cottica, Veronica Davidov, Magdalena Góralska, Jan Kubik, Guy Melançon, Bruno Pinaud and Wojciech Szymánski
  2. Is QE Just ENA?
    David Williamson Shaffer and Andrew Ruis