Conversational Agents, Virtual Worlds, and Beyond: A Review of Large Language Models Enabling Immersive Learning
Document Type
Article
Publication Date
2024
Abstract
Large Language Models represent a significant breakthrough in Natural Language Processing research and opened a wide range of application domains. This paper demonstrates the successful integration of Large Language Models into immersive learning environments. The review highlights how this emerging technology aligns with pedagogical principles, enhancing the effectiveness of current educational systems. It also reflects recent advancements in integrating Large Language Models, including fine-tuning, hallucination reduction, fact-checking, and human evaluation of generated results.
Recommended Citation
A. Pester, A. Tammaa, C. Gütl, A. Steinmaurer and S. A. El-Seoud, "Conversational Agents, Virtual Worlds, and Beyond: A Review of Large Language Models Enabling Immersive Learning," 2024 IEEE Global Engineering Education Conference (EDUCON), Kos Island, Greece, 2024, pp. 1-6, doi: 10.1109/EDUCON60312.2024.10578895.