الآداب و اللغات
Volume 20, Numéro 2, Pages 56-66
2025-12-31
Artificial Intelligence And Natural Language Processing In Efl Writing Assessment: Opportunities And Constraints
Authors : Sadek Rima . Gomra Aymen .
Abstract
This article examines the role of Artificial Intelligence (AI) and Natural Language Processing (NLP) in the assessment of English as a Foreign Language (EFL) writing. As AI-driven tools increasingly shape educational practices, traditional approaches to writing assessment face new methodological and ethical challenges. This study adopts a qualitative secondary research design, critically analyzing three empirical studies that explore the integration of NLP-based systems in EFL contexts. The analysis focuses on key dimensions, including reliability, feedback quality, learner engagement, and issues of academic integrity. The findings indicate that while AI-powered tools enhance efficiency and provide immediate, scalable feedback, they also raise concerns regarding fairness, transparency, and over-reliance on automated evaluation. Moreover, the pedagogical value of such tools remains contingent on their alignment with learner-centered approaches and genre-sensitive writing instruction. The article argues that AI should be positioned as a complementary, rather than substitutive, component of writing assessment. It concludes by highlighting the need for critical integration frameworks that balance technological innovation with pedagogical and ethical considerations.
Keywords
artificial intelligence, EFL writing assessment, natural language processing, pedagogical innovation, secondary research.
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