IMPLEMENTING AUTHENTIC AI ASSESSMENT IN TESOL: CHALLENGES AND RESEARCH DIRECTIONS
Keywords:
Keywords: AI implementation, language assessment, TESOL, research agenda, educational technologyAbstract
This article addresses the practical challenges of implementing authentic AI-
enhanced language assessment in TESOL contexts. Drawing on a four-dimensional
framework of authenticity, we identify key implementation barriers at technological,
pedagogical, and institutional levels. We propose a research agenda to address these
challenges and offer practical guidelines for TESOL practitioners navigating the
integration of AI assessment tools. The article concludes with recommendations for
interdisciplinary collaboration between language educators, AI developers, and
assessment researchers.
References
References
1. Chapelle, C. A., & Sauro, S. (Eds.). (2022). The handbook of technology and second
language teaching and learning. Wiley Blackwell.
2. Levis, J., & Suvorov, R. (2022). Automated assessment of second language
pronunciation. In H. Mohebbi & C. Coombe (Eds.), Research questions in language
education and applied linguistics (pp. 803-808). Springer.
3. Messick, S. (1996). Validity and washback in language testing. Language Testing,
13(3), 241-256.
4. Ockey, G. J. (2021). An overview of AI and language assessment: Definitions,
applications, and challenges. Language Assessment Quarterly, 18(2), 119-135.
5. Winke, P., & Isbell, D. R. (2022). The development, implementation, and ethical
management of AI-based language assessments. Language Assessment Quarterly,
19(3), 231-240.
