Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116151
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dc.contributorDepartment of English and Communication-
dc.creatorZhang, R-
dc.creatorZou, D-
dc.creatorCheng, G-
dc.date.accessioned2025-11-25T03:57:19Z-
dc.date.available2025-11-25T03:57:19Z-
dc.identifier.issn1360-2357-
dc.identifier.urihttp://hdl.handle.net/10397/116151-
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.rights© The Author(s) 2025en_US
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Zhang, R., Zou, D. & Cheng, G. Non-academic learner socialisation with ChatGPT and its influences on learning English argumentative writing logic. Educ Inf Technol (2025) is available at https://doi.org/10.1007/s10639-025-13776-2.en_US
dc.subjectChatboten_US
dc.subjectChatGPTen_US
dc.subjectEnglish argumentative writingen_US
dc.subjectLogical learningen_US
dc.subjectSocial engagementen_US
dc.titleNon-academic learner socialisation with ChatGPT and its influences on learning English argumentative writing logicen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1007/s10639-025-13776-2-
dcterms.abstractChatGPT-assisted learning has been increasingly implemented and shown effectiveness at cognitive and affective levels. In this learning approach, learners may have non-academic socialisation with ChatGPT behaviourally by producing non-academic prompts and emotionally by developing a sense of relatedness with it, which, considering the reported benefit of non-academic learner socialisation, may contribute to the effectiveness of ChatGPT-assisted learning. So far, research on such non-academic socialisation and its impact remains limited. To fill in the gap and thereby enhance the understanding of ChatGPT-assisted learning, we explored the extent and nature of non-academic socialisation with ChatGPT among EFL learners and its effects on learning outcomes in English argumentative writing. We developed a GPT-4-powered bot for learning English argumentative writing logic and asked 40 EFL university students to use it for a 45-to-75-min period. We analysed their prompts and surveyed their senses of relatedness to measure their behavioural and emotional non-academic socialisation with ChatGPT. Pre-post tests, writing tasks, and questionnaire surveys were administered to assess their learning outcomes regarding logical knowledge, logical quality, and self-efficacy in English argumentative writing. Semi-structured interviews were also conducted. Findings indicate that EFL learners had upper-intermediate levels of non-academic socialisation with ChatGPT due to ChatGPT’s excellent capabilities of language understanding and generation, fostering social presence and homophily, and stimulating positive emotions among learners. The socialisation enhanced learning outcomes in English argumentative writing, especially logical knowledge, by improving feedback acceptance, motivating strategy application, and triggering a flow. Based on the findings, we recommend long-term ChatGPT-assisted learning of English argumentative writing logic with spontaneous non-academic socialisation and a distinct, engaging bot persona.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEducation and information technologies, Published: 27 October 2025, Online first articles, https://doi.org/10.1007/s10639-025-13776-2-
dcterms.isPartOfEducation and information technologies-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105019974114-
dc.identifier.eissn1573-7608-
dc.description.validate202511 bcch-
dc.description.oaRecord of Versionen_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextOpen access funding provided by The Hong Kong Polytechnic University. The work described in this paper was partially supported by the Start-up Fund for New Recruits of The Hong Kong Polytechnic University (Project No. P0056518).en_US
dc.description.pubStatusEarly releaseen_US
dc.description.TASpringer Nature (2025)en_US
dc.description.oaCategoryTAen_US
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