Low-Code Development for Language Education Chatbot

Abstract

The increasing integration of technology into language education presents new opportunities for personalised learning, yet developing and maintaining AI-powered tools like chatbots often requires significant technical expertise. This thesis addresses the gap in practical methodologies and accessible tools for language teachers in specialised domains, specifically focusing on the Swiss public transportation sector. It investigates how a knowledge graph-based low-code application can enhance the development of educational chatbots for these teachers.