March 3, 2025 | 9:00 AM - 5:00 PM
This workshop delves into the foundational concepts and emerging methods in Quantitative Ethnography (QE), focusing on its application within Learning Analytics (LA). As researchers face challenges in analyzing large-scale qualitative data, QE offers a solution by combining qualitative richness with statistical rigour. The workshop, extending from the previous LAK24 session, emphasizes technical proficiency with QE tools, such as the ENA web tool, rENA, and BERT-topic, alongside traditional methods. From novices to intermediates, participants will engage in hands-on activities and discussions centered around data coding, model creation, theoretical saturation, and closing the interpretative loop, enhancing their capacity to integrate QE in their research practices.
9:00 - 9:15 | Introduction |
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9:15 – 10:00 | QE data preparation and codeing |
10:00 - 10:15 | Break |
10:15 - 12:00 | Workshop 1: Participants choose from ENA webtool; rENA; BERTopic |
12:00 - 13:00 | Lunch |
13:00 - 14:45 | Workshop 2: Participants choose from ENA webtool; rENA; BERTopic |
14:45 - 15:00 | Break |
15:00 - 16:00 | Group discussion and reflections |
16:00 | Social |
Golnaz Arastoopour Irgens
Vanderbilt University,
United States
Kamila Misiejuk
University of Bergen, Norway
Rogers Kaliisa
University of Oslo, Norway
Shaun Kellogg
NC State University,
United States
Jennifer Sciana
UW Madison,
United States
Brendan Eagan
UW Madison,
United States
Yeyu Wang
UW Madison,
United States
Yuanru Tan
UW Madison,
United States