Eurokd
European KnowledgeDevelopment Institute
Language Testing in Focus: An International Journal

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2717-9087

ICV

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83.97

ICV

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83.97

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Perspective Article

DeepThink-Mediated Language Assessment Literacy: EFL Teachers’ Practices and Insights from China and Cambodia

Language Testing in Focus: An International Journal, Volume 13, Pages 77-88, https://doi.org/10.32038/ltf.2026.13.05

Inspired by Coombe et al.’s (2020) conceptualization of Language Assessment Literacy (LAL) as a recursive process of learning, unlearning, and relearning, we reflect on how teachers’ LAL is socially and technologically mediated in using DeepSeek’s DeepThink function. Through reflective analysis of Wenwen’s supervisory interactions with her MA student in China, and Steve’s in-service teacher education practices in Cambodia, this reflective paper contributes to the discussions about LAL in the age of AI. We present our successes and failures with promoting the use of AI as a tool for the development of LAL in teachers and learners. Our experiences with LAL and AI are framed in Coombe et al.’s (2020) recursive cycle of LAL development.

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Publisher’s Note

The claims, arguments, and counter-arguments made in this article are exclusively those of the contributing authors. Hence, they do not necessarily represent the viewpoints of the authors’ affiliated institutions, or EUROKD as the publisher, the editors and the reviewers of the article.

 

Acknowledgements

The authors would like to express their sincere gratitude to the editor and reviewers of this manuscript for their valuable time and constructive feedback.

 

Funding

This research received no external funding.

 

CRediT Authorship Contribution Statement

Wenwen Tian: Conceptualization, Methodology, Investigation, Data Curation, Writing – Original Draft Writing, Review & Editing

Stephen Louw: Conceptualization, Methodology, Investigation, Data Curation, Writing – Original Draft Writing , Review & Editing

 

Generative AI Use Disclosure Statement

During manuscript preparation, the authors used ChatGPT or DeepSeek to improve clarity and coherence of author-developed content. The AI tool was not used to generate research data, conduct statistical analysis, fabricate references, or interpret findings. All research design, data collection, analysis, interpretation, and final academic decisions were made solely by the authors.

 

Ethics Declarations

World Medical Association (WMA) Declaration of Helsinki–Ethical Principles for Medical Research Involving Human Participants

This study was conducted in accordance with the ethical principles of the World Medical Association Declaration of Helsinki. Retrospective ethical approval was obtained from Institutional Review Board (IRB), School of Foreign Studies, Northwestern Polytechnical University, China (Approval Number: IRB-2026-001). All participants provided informed written consent prior to participation, and participation was voluntary.

 

Competing Interests

The authors declare that they have no competing interests.

 

Data Availability

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.