Designing EFL Writing Assessment in the Age of Generative AI

Generative AI has rapidly reshaped how writing is taught and assessed in EFL contexts, raising concerns about assessment validity, student learning, and the limits of detectionbased responses. In Japanese university settings, where pressure for grammatical accuracy is common, unregulated AI use risks reducing opportunities for language development. This paper argues that these challenges are better addressed through assessment design than through prohibition or surveillance. Drawing on recent institutional guidelines and principles for ethical AI integration, it proposes a policyaligned, process-focused writing framework that differentiates permitted AI use across stages of the writing process. The framework combines AI-free in-class writing with clearly defined, learning-oriented AI use during revision, supported by transparent submission procedures.

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Publication Details

Journal
Institutional Repositories DataBase (IRDB)
Published
2026-03-31
DOI
https://doi.org/10.24546/0100502589
Primary Topic
Second Language Acquisition and Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing EFL Writing Assessment in the Age of Generative AI

Andy Rushton
Institutional Repositories DataBase (IRDB)
Second Language Acquisition and Learning
article

Designing EFL Writing Assessment in the Age of Generative AI

Andy Rushton
article en

Abstract

Generative AI has rapidly reshaped how writing is taught and assessed in EFL contexts, raising concerns about assessment validity, student learning, and the limits of detectionbased responses. In Japanese university settings, where pressure for grammatical accuracy is common, unregulated AI use risks reducing opportunities for language development. This paper argues that these challenges are better addressed through assessment design than through prohibition or surveillance. Drawing on recent institutional guidelines and principles for ethical AI integration, it proposes a policyaligned, process-focused writing framework that differentiates permitted AI use across stages of the writing process. The framework combines AI-free in-class writing with clearly defined, learning-oriented AI use during revision, supported by transparent submission procedures.

Institutional Repositories DataBase (IRDB)Vol. 22
Quality Education
Openalex Percentile: Top 38%
Second Language Acquisition and Learning
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