Rethinking Language Assessment in the AI Era



Author Information

Yulia Tregubova, British University Vietnam, Vietnam

Abstract

The rapid integration of Generative Artificial Intelligence (GenAI) in higher education (HE) has exposed the need for significant changes in academic assessment and instructional practices. Due to its focus on linguistic competencies, language education in general, and English for Academic Purposes (EAP) in particular, is potentially more at risk of misuse of GenAI by students. This involves obscured evidence of learning and makes assessment of academic progress and language acquisition more challenging. It is, therefore, essential to integrate AI literacy into language education and reconsider the nature of language assessment in alignment with the new teaching and learning context. This would equip students with the necessary skills to engage with GenAI tools more critically, supporting their language acquisition rather than bypassing it, and better prepare them for future employment in the AI era. The paper reports on strategies designed to develop AI literacy and applied to EAP assessments with the aim of preserving the integrity of language education at university. The context of the study is a university in Vietnam with English as a medium of instruction (EMI) and a top-down AI acceptance policy. Experiential learning theory has been used as the major framework, where all suggested interventions followed the experiential learning cycle, inviting students to continuously reflect on their learning experience and to take accountability for learning outcomes. Students’ reflections have provided a substantial pool of qualitative data, whose analysis indicates a more critical approach to AI use by students and an overall positive reception of the new AI-friendly assessment format.


Paper Information

Conference: ACEID2026
Stream: Foreign Languages Education & Applied Linguistics (including ESL/TESL/TEFL)

This paper is part of the ACEID2026 Conference Proceedings (View)
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To cite this article:
Tregubova Y. (2026) Rethinking Language Assessment in the AI Era ISSN: 2189-101X – The Asian Conference on Education & International Development 2026 Official Conference Proceedings (pp. 473-486) https://doi.org/10.22492/issn.2189-101X.2026.38
To link to this article: https://doi.org/10.22492/issn.2189-101X.2026.38


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Posted by James Alexander Gordon