The AI-supported Language Library Model: It’s Not About the CALL Tools, It’s About the Language Library

Abstract

This paper introduces the concept of the AI-supported Language Library Wheel, a novel framework for understanding and implementing artificial intelligence in language learning environments. While much attention has been focused on Computer Assisted Language Learning (CALL) tools, this research argues for a paradigm shift towards a more holistic, library-centric approach. The Language Library Wheel model emphasizes the integration of AI technologies not as standalone tools, but as facilitators within a broader ecosystem of language resources and learning methodologies. By reimagining the role of AI within the context of a dynamic, user-centered language library, this approach aims to enhance learner engagement, personalization, and overall efficacy of language acquisition processes. Through a combination of theoretical analysis and case studies, this paper explores how the Language Library Wheel can be implemented in various educational settings. It examines the potential benefits, including improved resource discoverability, adaptive learning pathways, and enhanced collaboration between learners and educators. Additionally, it addresses potential challenges and ethical considerations in the deployment of AI within language learning environments. This research contributes to the ongoing dialogue about the future of language education in the digital age, proposing a framework that places the richness and diversity of language resources at the center, supported by, rather than subsumed by, artificial intelligence technologies. We suggest the main principles of the proposed model with an inclusiveness, equity and pragmatic design approach which are handy for learners across and beyond academic libraries.