In this paper, we investigated the learning ability of students in normal versus virtual reality (VR) watching of videos by mathematical analysis of electroencephalogram (EEG) signals. We played six videos in the 2D and 3D modes for nine subjects and calculated the Shannon entropy of recorded EEG signals to investigate how much their embedded information changes between these modes. We also calculated the Hurst exponent of EEG signals to compare the changes in the memory of signals. The analysis results showed that watching the videos in a VR condition causes greater information and memory in EEG signals. A strong correlation was obtained between the increment of information and memory of EEG signals. These increments also have been verified based on the answers that subjects gave to the questions about the content of videos. Therefore, we can say that when subjects watch a video in a VR condition, more information is transferred to their brains that cause increments in their memory.

中文翻译：

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用于解码正常和虚拟现实 (VR) 条件之间的人类学习的信息和基于记忆的分析

在本文中，我们通过对脑电图 (EEG) 信号的数学分析，调查了学生在正常观看视频与虚拟现实 (VR) 观看视频时的学习能力。我们为九名受试者播放了 2D 和 3D 模式下的 6 个视频，并计算了记录的 EEG 信号的香农熵，以研究它们的嵌入信息在这些模式之间的变化程度。我们还计算了脑电信号的赫斯特指数，以比较信号记忆的变化。分析结果表明，在 VR 条件下观看视频会在脑电信号中产生更多的信息和记忆。在脑电信号的信息增量和记忆之间获得了很强的相关性。这些增量也已根据受试者对视频内容问题的回答进行了验证。所以，