审视 LLM 驱动互动在虚拟课堂中的注意力和认知参与作用
摘要
将大型语言模型（LLM）集成到虚拟现实（VR）中，旨在通过提供沉浸式和 interactive 学习体验。然而，LLM 对用户在教育环境中注意力和 engagement 的影响仍是未知数。In this study, we utilized a fully LLM-driven virtual learning environment, where peers and teachers were LLM-driven, to examine how students behaved in such settings. Specifically, we investigate how peer question-asking behaviors influenced student engagement, attention, cognitive load, and learning outcomes and found that, in conditions where LLM-driven peer learners asked questions, students exhibited more targeted visual scanpaths, with their attention directed toward the learning content, particularly in complex subjects. Our results suggest that peer questions did not introduce extraneous cognitive load directly, as the cognitive load is strongly correlated with increased attention to the learning material. Considering these findings, we provide design recommendations for optimizing VR learning spaces.
引用
@article{arxiv.2505.07377,
title = {Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms},
author = {Suleyman Ozdel and Can Sarpkaya and Efe Bozkir and Hong Gao and Enkelejda Kasneci},
journal= {arXiv preprint arXiv:2505.07377},
year = {2025}
}
备注
Accepted to EDM 2025 (Eighteenth International Conference on Educational Data Mining)