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Intelligent Support Engages Writers Through Relevant Cognitive Processes

Journal
Proceedings of the CHI Conference on Human Factors in Computing Systems
Type
conference paper
Date Issued
2024-05-11
Author(s)
Andreas Göldi  
;
Thiemo Wambsganss  
;
Seyed Parsa Neshaei
;
Roman Rietsche  
DOI
10.1145/3613904.3642549
Abstract
Student peer review writing is prevalent and important in education
for fostering critical thinking and learning motivation. However,
it often entails challenges such as high effort and writer’s block.
Leaving students unsupported may thus diminish the efficacy of
the process. Large Language Models (LLMs) offer a potential rem-
edy, but their utility hinges on user-centered design. Guided by
design-determining constructs from the Cognitive Process Theory
of Writing, we developed an intelligent writing support tool to
alleviate these challenges, aiding 1) ideation and 2) evaluation. A
randomized experiment (n=120) confirmed users were less inclined
to utilize the tool’s intelligent features when offered pre-supplied
ideas or evaluations, validating our approach. Moreover, students
engaged not less but more with their writing if support was avail-
able, indicating an enhanced experience. Our research illuminates
design choices for enhancing LLM-based tools’ usability and user
experience, specifically optimizing intelligent writing support tools
to facilitate student peer review.
Language
English
Keywords
Creativity Support
Education/Learning
Schools/Educational Setting
Artifact or System
HSG Classification
contribution to scientific community
Pages
12
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/120245
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

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