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TESOL Journal
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY NC SA
Data sources: Datacite
DBLP
Preprint . 2024
Data sources: DBLP
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The EAP‐AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

Authors: Jasper Roe; Mike Perkins; Yulia Tregubova;

The EAP‐AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

Abstract

ABSTRACT The advancement of Generative Artificial Intelligence (GenAI) is complicating traditional techniques in English for Academic Purposes (EAP) instruction. This paper proposes a novel adaptation of an existing scale (the AI Assessment Scale), which is designed to facilitate effective learning and assessment in the era of GenAI. We label this the EAP AI Assessment Scale (EAP‐AIAS). The EAP‐AIAS consists of five levels, ranging from “No AI” to “Full AI,” each delineating appropriate GenAI usage in EAP tasks. This offers a new perspective and approach for educators grappling with how to integrate GenAI into their teaching practice. We discuss the rationale behind this adaptation, considering the unique needs of language learners and the dual focus of EAP on language proficiency and the development of academic skills. By offering a flexible scale, the EAP‐AIAS seeks to empower practitioners seeking to deal with the challenge of GenAI integration in EAP and prepare students for an AI‐enhanced academic and professional future. This adaptation represents a step towards addressing the pressing need for ethical and pedagogically sound AI integration in language education.

Keywords

FOS: Computer and information sciences, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computers and Society (cs.CY)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid
Beta
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