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Pan-indexicality and prompt

Developing a teaching model for AI-mediated academic writing

Bibliographic Data

ID13032697
AuthorsJing Zhu (0000-0002-2705-766X, Soochow University, corresponding author), Chunyun Duan (0009-0007-6526-0099, Soochow University)
Year2025
Volume11
Issue2
Pages286-304
Publication date2025-04-04
Open AccessYes
TypeARTICLE
VenueLanguage and Semiotic Studies (JOURNAL)
Journal identifiersISSN: 2096-031X • E-ISSN: 2751-7160
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/lass-2025-0008
OpenAlexW4409131742
LanguageEN
Citations received1
References cited39

AI-mediated academic writing calls for new pedagogical approaches to the application of prompt engineering for writing courses. Whereas previous studies mainly inform students of prompt engineering techniques, little is known about how prompt engineering functions from the perspective of meaning negotiation between the human and generative AI. This paper explores the integration of the Pan-indexical process of linguistic signs into a prompt-based teaching model (PBTM), emphasizing its potential to facilitate meaning negotiation in prompt engineering during the early stage of AI-mediated academic writing. The PBTM consists of four key components: encyclopedic knowledge, contextual information, evaluative critical thinking, and iterative design. The application of PBTM lies in the early stage of idea development of academic writing and is organized around four major steps: crafting the initial prompt; refining the prompt with contextual information; engaging in evaluative critical thinking; iterative progression toward a desired response. This paper suggests that the Pan-indexical process of linguistics signs can be employed to AI-mediated pedagogical approaches to enhance students’ ability in optimization of prompts through a deeper understanding of meaning negotiation between the students and generative AI to support their academic writing process

Academic writing · Indexicality · Linguistics · Mathematics education · Artificial Intelligence in Healthcare and Education · Computer Science · Philosophy · Psychology

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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