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Computer Science > Human-Computer Interaction

arXiv:2307.13699 (cs)
[Submitted on 13 Jul 2023]

Title:EFL Students' Attitudes and Contradictions in a Machine-in-the-loop Activity System

Authors:David James Woo, Hengky Susanto, Kai Guo
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Abstract:This study applies Activity Theory and investigates the attitudes and contradictions of 67 English as a foreign language (EFL) students from four Hong Kong secondary schools towards machine-in-the-loop writing, where artificial intelligence (AI) suggests ideas during composition. Students answered an open-ended question about their feelings on writing with AI. Results revealed mostly positive attitudes, with some negative or mixed feelings. From a thematic analysis, contradictions or points of tension between students and AI stemmed from AI inadequacies, students' balancing enthusiasm with preference, and their striving for language autonomy. The research highlights the benefits and challenges of implementing machine-in-the-loop writing in EFL classrooms, suggesting educators align activity goals with students' values, language abilities, and AI capabilities to enhance students' activity systems.
Comments: 38 pages, 4 figures
Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
Cite as: arXiv:2307.13699 [cs.HC]
  (or arXiv:2307.13699v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2307.13699

Submission history

From: David Woo [view email]
[v1] Thu, 13 Jul 2023 07:38:11 UTC (1,036 KB)
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