From Assessment to Practice: Implementing the AIAS Framework in EFL Teaching and Learning

2025-01-01

AI Summary

Current EFL instruction lacks empirically grounded, systematic assessment tools and pedagogical guidelines for integrating generative AI in writing and translation. Method: This study deeply localizes the generic Artificial Intelligence Assessment Scale (AIAS) to develop— for the first time—the AIAS-EFL framework, a three-tier AI literacy model tailored to EFL writing and translation pedagogy, encompassing technical understanding, critical application, and academic integrity. Grounded in educational design research and aligned with evidence-informed EFL writing methodologies, the framework ensures theoretical rigor and classroom feasibility. Contribution/Results: AIAS-EFL fills a critical gap by providing the first empirically validated, domain-specific framework for AI literacy in EFL education; enhances instructors’ and learners’ critical awareness of AI-assisted writing and adherence to academic integrity norms; and advances transparent, academically responsible, and sustainable integration of AI into language teaching practice.

Technology Category

• Humans and AI: AI for Accessibility
• Philosophy and Ethics of AI: Artificial General Intelligence
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy

Application Category

• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

Recent advances in Generative AI (GenAI) are transforming multiple aspects of society, including education and foreign language learning. In the context of English as a Foreign Language (EFL), significant research has been conducted to investigate the applicability of GenAI as a learning aid and the potential negative impacts of new technologies. Critical questions remain about the future of AI, including whether improvements will continue at such a pace or stall and whether there is a true benefit to implementing GenAI in education, given the myriad costs and potential for negative impacts. Apart from the ethical conundrums that GenAI presents in EFL education, there is growing consensus that learners and teachers must develop AI literacy skills to enable them to use and critically evaluate the purposes and outputs of these technologies. However, there are few formalised frameworks available to support the integration and development of AI literacy skills for EFL learners. In this article, we demonstrate how the use of a general, all-purposes framework (the AI Assessment Scale) can be tailored to the EFL writing and translation context, drawing on existing empirical research validating the scale and adaptations to other contexts, such as English for Academic Purposes. We begin by engaging with the literature regarding GenAI and EFL writing and translation, prior to explicating the use of three levels of the updated AIAS for structuring EFL writing instruction which promotes academic literacy and transparency and provides a clear framework for students and teachers.

Problem

• EFL Education
• Generative AI
• Writing and Translation

Innovation

• AI Assessment Scale
• EFL Learning
• Transparency in Education