AI 中文总结
研究如何在VR学习环境中用多模态数据评估学习过程，通过探索VR密室逃脱游戏的多模态数据源，利用VR特性促进多模态交互，以了解数据对参与者推理技能与猜测行为的揭示情况。
AI 中文摘要
在虚拟现实（VR）环境中评估学习通常依赖传统的前后内容保留测试，对这种沉浸式环境中的学习过程揭示甚少。来自VR中玩家活动的多模态数据有望更好地衡量学习过程和高阶技能，但学习科学领域对此研究甚少。为解决此问题，我们探索了一个VR密室逃脱游戏的多模态数据源，其中包含需要解决问题策略和进行言语元认知反思的实践逻辑谜题。我们利用VR的特性让用户沉浸在持续对话中，促进数字环境中的多模态交互，以了解日志文件和言语数据如何揭示参与者的推理技能与猜测行为。
英文摘要
Assessing learning in virtual reality (VR) environments typically relied on traditional pre-post content retention tests, revealing little about the process of learnng within such immersive environments. Multimodal data from player activity in VR is promising to better measure learning processes and higher-order skills, but little research in the learning sciences has explored how such data can be combined to provide meaningful measures. To address this, we explored multimodal sources of data from a VR escape room containing hands-on logic puzzles that require problem-solving strategies and engagement in verbal metacognitive reflections. We leverage VR's affordances to immerse users in sustained dialog and promote multimodal interactions in a digital environment to understand how logfile and verbal data reveal participants' reasoning skills versus guesswork.
Journal refProceedings of the 20th International Conference of the Learning Sciences. ICLS 2026. Irvine, CA, USA. 1807-1811
