Bibliografía: Feng Jiang
Nº de publicaciones: 4Detalles Cerrar β
Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial
Resumen:
This article proposes a framework for understanding how artificial intelligence is reshaping language practices and applied linguistics research. It identifies four areas of inquiry: AI as a research instrument, AI as an object of applied linguistic inquiry, AI as a site of conceptual renewal, and AI as a problem of pedagogy, policy and social justice. Distinguishing between predictive, classificatory, assistive and generative AI systems, the authors argue that contemporary systems now participate directly in communication-related tasks such as writing, translation and assessment, and call for a repositioning of applied linguistics within an AI-mediated paradigm.
Detalles Cerrar β
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The rapid rise of ChatGPT has generated considerable anxiety among teachers concerned that students might turn to large language models to write their assignments. This AI-powered language model is able to create grammatically accurate and coherent texts, thus potentially enabling cheating and undermining literacy and critical thinking skills. While research has begun to examine linguistic and rhetorical differences between AI-generated and human-authored texts, far less is known about how large language models construct authorial stance, a central component of argumentative writing and a key indicator of academic literacy. This study compares stance markers in argumentative essays written by British undergraduates with those generated by ChatGPT on the same topics. Using a corpus-based approach grounded in an established stance...
Detalles Cerrar β
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
ChatGPT has created considerable anxiety among teachers concerned that students might turn to large language models (LLMs) to write their assignments. Many of these models are able to create grammatically accurate and coherent texts, thus potentially enabling cheating and undermining literacy and critical thinking skills. This study seeks to explore the extent LLMs can mimic human-produced texts by comparing essays by ChatGPT and student writers. By analyzing 145 essays from each group, we focus on the way writers relate to their readers with respect to the positions they advance in their texts by examining the frequency and types of engagement markers. The findings reveal that student essays are significantly richer in the quantity and variety of engagement features, producing a more interactive and persuasive discourse. The ChatGPT-...
Detalles Cerrar β
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The ability of ChatGPT to create grammatically accurate and coherent texts has generated considerable anxiety among those concerned that students might use such large language models (LLMs) to write their assignments. The extent to which LLMs can mimic human writers is starting to be explored, but we know little about their ability to use nominal resources to create effective academic texts. This study investigates metadiscursive nouns in argumentative essays, comparing how ChatGPT and university students employ these devices to organise text, express stance, and construct persuasive arguments. By analysing 145 essays from each source, we examine the syntactic patterns, interactive functions, and interactional uses of metadiscursive nouns. The analysis reveals that while overall frequencies were similar, ChatGPT has distinct...
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