Enhancing Human-Centric CALL Through AI Innovations

Abstract

[EN] This paper explores the integration of Artificial Intelligence (AI) into Computer-Assisted Language Learning (CALL) to create a more engaging and supportive educational experience. This study delves into the utilisation of Natural Language Processing (NLP), AI image generation and text-to-speech (TTS) technologies to enhance the game-like elements of CALL resources. Drawing from recent experiments, the paper discusses the iterative improvements made to the Cipher game (Xu et al., 2024), shedding light on the positive impact of AI on both user experience and learning outcomes.The integration of NLP, AI image generation and TTS AI in CALL resources, as exemplified by the Cipher game, demonstrates their effectiveness in creating engaging and inclusive language learning experiences. These technologies not only improve productivity but also cater to the needs of learners with diverse requirements. This paper advocates for further exploration and implementation of AI in CALL to promote humanity, interactivity, and accessibility in language education.