An Introduction to Large Language Models in Education

Eduardo Oliveira, Yige Song, Mohammed Saqr and Sonsoles López-Pernas
Advanced Learning Analytics Methods, 2026, pp. 191--205

Abstract

Large language models (LLMs) have become central to contemporary advancements in education. LLMs facilitate applications such as automated feedback, question generation, sentiment analysis, and multilingual accessibility. This chapter examines the mechanisms that underpin LLMs—namely, transformer architecture, pre-training, and generative abilities. Moreover, we present the diverse applications of LLMs in education, some of which will be covered in subsequent tutorial chapters in the present book. Lastly, we explore tools for interacting with LLMs, from beginner-friendly web interfaces to more advanced tools like APIs and frameworks such as the OpenAI API and Hugging Face’s Transformers. © 2026 The Editor(s) (if applicable) and The Author(s).

Affiliations

University of Melbourne, Parkville, VIC, Australia; University of Eastern Finland, Joensuu, Finland