Critical Appraisal of Artificial Intelligence-Mediated Communication

TL;DR

This paper critically examines the integration of AI technologies like speech recognition, machine translation, and chatbots in language learning, emphasizing the need for teacher training to adapt to evolving digital tools.

Contribution

It provides a comprehensive critical appraisal of AI-mediated communication tools in language education and highlights the importance of professional development for teachers.

Findings

AI tools enhance language learning but have limitations

Teacher training is essential for effective AI integration

AI technologies are rapidly evolving and impact teaching methods

Abstract

Over the last two decades, technology use in language learning and teaching has significantly advanced and is now referred to as Computer-Assisted Language Learning (CALL). Recently, the integration of Artificial Intelligence (AI) into CALL has brought about a significant shift in the traditional approach to language education both inside and outside the classroom. In line with this book's scope, I explore the advantages and disadvantages of AI-mediated communication in language education. I begin with a brief review of AI in education. I then introduce the ICALL and give a critical appraisal of the potential of AI-powered automatic speech recognition (ASR), Machine Translation (MT), Intelligent Tutoring Systems (ITSs), AI-powered chatbots, and Extended Reality (XR). In conclusion, I argue that it is crucial for language teachers to engage in CALL teacher education and professional development to keep up with the ever-evolving technology landscape and improve their teaching effectiveness.