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Article: From retrieval to generative models: a design-based research approach to developing a chatbot for argumentative writing

TitleFrom retrieval to generative models: a design-based research approach to developing a chatbot for argumentative writing
Authors
Keywordsargumentative writing
Chatbots
design-based research
generative models
retrieval models
Issue Date30-May-2025
PublisherTaylor and Francis Group
Citation
Innovation in Language Learning and Teaching, 2025 How to Cite?
Abstract

Chatbots have emerged as a valuable tool in the field of English as a foreign language (EFL) education, particularly following the release of ChatGPT in November 2022. Numerous studies have since investigated the potential of chatbots for enhancing writing skills. Our interest in chatbot-supported writing instruction predates this release, and the advent of ChatGPT has opened new avenues for our research. This Innovative Practice paper details our design-based research project, initiated in September 2021 and spanning approximately three years, during which we developed Argumate, a chatbot designed to facilitate EFL students' argumentative writing. This paper delineates our development process, tracing our initial use of retrieval models in the chatbot's development to our current application of generative models in refining Argumate. Overall, this paper provides valuable insights into the process of developing chatbots to support students' argumentative writing.


Persistent Identifierhttp://hdl.handle.net/10722/362769
ISSN
2023 Impact Factor: 3.1
2023 SCImago Journal Rankings: 1.245

 

DC FieldValueLanguage
dc.contributor.authorGuo, Kai-
dc.contributor.authorLi, Danling-
dc.contributor.authorWang, Jian-
dc.contributor.authorChu, Samuel Kai Wah-
dc.date.accessioned2025-09-30T00:35:27Z-
dc.date.available2025-09-30T00:35:27Z-
dc.date.issued2025-05-30-
dc.identifier.citationInnovation in Language Learning and Teaching, 2025-
dc.identifier.issn1750-1229-
dc.identifier.urihttp://hdl.handle.net/10722/362769-
dc.description.abstract<p>Chatbots have emerged as a valuable tool in the field of English as a foreign language (EFL) education, particularly following the release of ChatGPT in November 2022. Numerous studies have since investigated the potential of chatbots for enhancing writing skills. Our interest in chatbot-supported writing instruction predates this release, and the advent of ChatGPT has opened new avenues for our research. This Innovative Practice paper details our design-based research project, initiated in September 2021 and spanning approximately three years, during which we developed Argumate, a chatbot designed to facilitate EFL students' argumentative writing. This paper delineates our development process, tracing our initial use of retrieval models in the chatbot's development to our current application of generative models in refining Argumate. Overall, this paper provides valuable insights into the process of developing chatbots to support students' argumentative writing.</p>-
dc.languageeng-
dc.publisherTaylor and Francis Group-
dc.relation.ispartofInnovation in Language Learning and Teaching-
dc.subjectargumentative writing-
dc.subjectChatbots-
dc.subjectdesign-based research-
dc.subjectgenerative models-
dc.subjectretrieval models-
dc.titleFrom retrieval to generative models: a design-based research approach to developing a chatbot for argumentative writing-
dc.typeArticle-
dc.identifier.doi10.1080/17501229.2025.2511273-
dc.identifier.scopuseid_2-s2.0-105007157637-
dc.identifier.eissn1750-1237-
dc.identifier.issnl1750-1229-

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