Large Language Models Will Change The Way Children Think About Technology And Impact Every Interaction Paradigm

TL;DR

LLMs rapidly changing children's learning environments; the paper surveys educational use, showcases a small self-observed study, and outlines five key interaction design considerations. It argues that curiosity-driven learning, retrieval-grounded outputs, and scalable personalized guidance are achievable, while privacy, bias, and trust remain critical challenges. The authors call for education-focused research and practical design guidelines to shape classroom integration and future UX for child-friendly AI. The work highlights practical implications for educators and designers to harness LLMs responsibly and rethink interaction paradigms in learning technologies.

Abstract

This paper presents a hopeful perspective on the potentially dramatic impacts of Large Language Models on how we children learn and how they will expect to interact with technology. We review the effects of LLMs on education so far, and make the case that these effects are minor compared to the upcoming changes that are occurring. We present a small scenario and self-ethnographic study demonstrating the effects of these changes, and define five significant considerations that interactive systems designers will have to accommodate in the future.