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.
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This paper is supported by PNRR-PE-AI FAIR project funded by the NextGeneration EU program.
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Piro, L. et al. (2024). MyLearningTalk: An LLM-Based Intelligent Tutoring System. In: Stefanidis, K., Systä, K., Matera, M., Heil, S., Kondylakis, H., Quintarelli, E. (eds) Web Engineering. ICWE 2024. Lecture Notes in Computer Science, vol 14629. Springer, Cham. https://doi.org/10.1007/978-3-031-62362-2_39
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DOI: https://doi.org/10.1007/978-3-031-62362-2_39
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