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Detecting Interaction Patterns in Educational Collaborative Writing

delete2025-11-01
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PRE
AI
N
Niels Seidel *
M
Marc Burchart
J
Jörg M. Haake
C
Clara Schumacher
J
Jakub Kužílek
DOI:10.1145/3757467delete
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Abstract

Abstract

En 中文
Writing and collaboration are crucial skills in professional and academic settings. However, assessments of collaborative writing often focus only on the final text, overlooking individual contributions and the diverse strategies students employ during the writing process. To support teachers in interpreting and assessing student behaviour, we propose analysing writing data at a granular level, down to individual characters, and using user sessions as observation units to capture coherent interaction patterns. This paper introduces three methods for identifying interaction patterns in collaborative writing. The first method classifies session types by analysing features such as writing, reading, and communication behaviours, session length, and the number of group members collaborating synchronously. The second method identifies frequent sequences of session types by examining their order, enabling process analyses at an abstract yet manageable level compared to using log data. The third method focuses on text-level collaboration by evaluating the frequency of text passage modifications made by the original author or other group members. This approach quantifies individual collaboration and, at the group level, identifies isolated versus closely connected group members, shedding light on the mode of collaboration and degree of group cohesion. We demonstrate these three methods in a case study involving two cohorts, KA= 294 and KB = 242 groups of up to 9 learners (NA = 1, 848, NB= 1, 463). The interaction patterns identified using these methods are intended to help teachers understand collaborative writing processes and identify situations where the participating learners require support.
Keywords:
Collaborative Writing
Collaborative Learning
Learning Analytics

Journal

P
PROCEEDINGS OF THE ACM ON HUMAN COMPUTER INTERACTION
IF:
0
Papers:
392
Citations:
0

Organization

F
fern university hagen
Scholars:
624
Papers: 635
Citations: 0
H
humboldt university of berlin
Scholars:
414
Papers: 236
Citations: 0
U
university of potsdam
Scholars:
829
Papers: 432
Citations: 2
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