Thanks to recent advancements in natural language interaction, dialogue-based online Intelligent Tutoring Systems (ITS) employing Large Language Models (LLMs) have begun to emerge. However, the effective design of LLM-based ITS interfaces to support learning still requires attention. In this demo, we present the initial implementation of MyLearningTalk (MLT), a web-based ITS powered by LLMs. MLT exploits state-of-the-art techniques such as retrieval augmented generation to offer interactive features to provide users with grounded answers and a tailored experience to enhance and facilitate the learning process.

MyLearningTalk: An LLM-Based Intelligent Tutoring System

Piro Ludovica;Bianchi Tommaso;Alessandrelli Luca;Chizzola Andrea;Casiraghi Daniela;Sancassani Susanna;Gatti Nicola
2024-01-01

Abstract

Thanks to recent advancements in natural language interaction, dialogue-based online Intelligent Tutoring Systems (ITS) employing Large Language Models (LLMs) have begun to emerge. However, the effective design of LLM-based ITS interfaces to support learning still requires attention. In this demo, we present the initial implementation of MyLearningTalk (MLT), a web-based ITS powered by LLMs. MLT exploits state-of-the-art techniques such as retrieval augmented generation to offer interactive features to provide users with grounded answers and a tailored experience to enhance and facilitate the learning process.
2024
9783031623615
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1295290
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