Abstract
The digital transformation of education, accelerated by unforeseen global events like the COVID-19 pandemic, has ushered in a new era in pedagogy, including in language instruction. While the shift to online platforms has been swift, the evolution of content from static digital forms to dynamic, interactive experiences driven by artificial intelligence (AI) is still emerging. This chapter explores the transformative potential of machine learning (ML) in redefining traditional language learning materials into adaptive, responsive, and personalised educational experiences. The chapter outlines theoretical applications and presents a prototype app, “TalkToMe,” designed to boost speaking practice in the target language. Additionally, it addresses ethical concerns surrounding ML integration in education, ensuring the preservation of academic integrity. This chapter aims to bridge the gap between traditional methodologies and cutting-edge technology, offering a roadmap for the future of language instruction through collaboration between pedagogy and technology.
TopBackground
In the heart of every classroom lies a microcosm of the world outside – one that reflects broader trends, attitudes, and shifts. Over the last decade, educators have observed the ebb and flow of students' engagement with language learning, their aspirations mingling with their apprehensions, crafting a complex landscape of challenges and potential (Asiksoy, 2018).
Key Terms in this Chapter
Large Language Models (LLM): Advanced machine learning models that are particularly designed for natural language understanding and generation tasks.
Natural Language Processing (NLP): A subfield of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language. NLP involves tasks such as language translation, sentiment analysis, and speech recognition.
Machine Learning (ML): Computer algorithms which improve through the use of data, without following explicit instructions. Part of artificial intelligence.
Deployment: Here: software deployment. Activities that make software available to use on a device. Low and no code environments often have integrated deployment solutions. Other free services include Netlify and Heroku.
Generative AI: A subset of artificial intelligence (AI) that focuses on developing models and algorithms capable of generating content, such as text, images, or even videos, in a way that appears to be created by humans.
Application, App: Here, computer or software application. A computer program to carry out a specific task for a specific purpose. Designed for an end user.
Graphical User Interface (GUI): A form of user interface using graphical icons and menus.
Application Programming Interface (API): A software service that allows two programmes to transmit data between each other. Allows to access other company’s data or software to enhance functionality and features in another app without having to create it from scratch.