ICQE25 Workshops | Monday, October 13th:

Morning Workshops:

1A: Introduction to Epistemic Network Analysis (ENA)

Facilitators: Beatriz Galarza Tohen, Yuanru Tan, Brendan Eagan

This workshop introduces the participants to the basics of the Epistemic Network Analysis (ENA). The goal of the workshop is to learn how to use the ENA web tool independently, and how to develop and interpret ENA graphs. The workshop consists of three parts: 1) theory, 2) step-by-step tutorial, and 3) group work. The topics of the first part are the differences between social network analysis and ENA, and data coding challenges. In the second part, the participants are introduced to the ENA web tool. Lastly, the participants put their newly acquired skills into practice in the group work exercises.

1B: Introduction to Transmodal Analysis (TMA)

Facilitators: Yeyu Wang

During this workshop, participants will learn about the conceptual and methodological underpinnings of TMA, develop TMA models using their own multimodal data, and participate in a facilitated discussion of the affordances of TMA and opportunities for further methodological development. Participants, regardless of analytical skill level and epistemological stance toward multimodal learning analytics, will be able to participate in all aspects of the workshop.

1C: Introduction to Teaching Quantitative Ethnography (QE)

Facilitators: Ayano Ohsaki, Amalia Daché, Stephanie Rivera-Kumar, David Williamson Shaffer, Marguerite Williamson, Amanda Barany

This workshop serves as an introduction to education in Quantitative Ethnography (QE) and is hosted by Teaching (with) QE, a Special Interest Group of the International Society for Quantitative Ethnography (ISQE). This year, we focus on educational programs for undergraduate and graduate students in higher education institutions. In the first half of the workshop, experienced presenters will discuss approaches, challenges, and best practices in QE instruction. In the second half, participants will engage in collaborative syllabus development in small groups alongside the presenters. The workshop is designed for researchers and practitioners currently involved in QE education, individuals considering implementing QE in their teaching, and learners seeking to deepen their understanding of the field.

Afternoon Workshops:

2A: Advanced Epistemic Network Analysis using rENA

Facilitators: Yeyu Wang, Zachari Swiecki

In this workshop, we will introduce participants to advanced features of epistemic network analysis (ENA) available in the rENA package for R, as well as a brief introduction and demo on Ordered Network Analysis (ONA) using the ona R pckage. Our emphasis will be on how to implement the features, as well as how to determine whether they should be used. The workshop will culminate with an rENA analysis using ENA outputs in a subsequent technique, such as regression. Familiarity with ENA theory, the webtool, and rENA is preferred; however, we will provide brief overviews of each. We will also provide an R script for participants to use as a reference during and after the workshop.

2B: Introduction to (Automated) Coding in QE

Facilitators: Andrew Ruis, Yuanru Tan, Cody Marquart

This workshop will introduce methods for valid and reliable coding of text data using QE appraoches. During the workshop, participants will work individually and in teams to step through the process of creating codes. In this interactive workshop, participants will learn how to (1) combine qualitative and quantitative perspectives for text analysis, (2) create codebooks for code validation and publication, (3) discuss epistemological issues related to automated coding in QE context

2C: Advanced Epistemic Network Analysis (ENA) Interpretations

Facilitators: David Williamson Shaffer, Amanda Barany

The goal of this workshop is to introduce participants to the advanced functions of epistemic network analysis available in the online web tool, including the features of weighted models, projection, masking, and trajectories. Using a worked example, we will illustrate ways to implement these features and discuss how to determine when they should be applied. The workshop concludes with an in-depth discussion of the mathematical processes behind epistemic networks, including the creation of adjacency matrices, matrix accumulation, spherical normalization, dimensional reduction, and positioning network nodes.