Song Yanhui, Yu Ye
Pingdingshan University, Pingdingshan, China.
Dazhou Vocational and Technical College, Dazhou, Sichuan, China.
Front Neurosci. 2025 Jun 18;19:1540539. doi: 10.3389/fnins.2025.1540539. eCollection 2025.
Understanding the impact of hypoxic conditions on cognitive functions, including English listening comprehension, has garnered increasing attention due to its implications for high-altitude education and cognitive resilience. Traditional research in this domain has often relied on behavioral assessments or simple physiological metrics, which lack the granularity to capture the neural underpinnings of cognitive performance.
This study proposes a novel framework combining electroencephalography (EEG)-based neural decoding with the Dynamic Linguistic Enhancement Model (DLEM) to investigate English listening comprehension in hypoxic environments. DLEM integrates adaptive vocabulary acquisition, grammar contextualization, and cultural embedding, leveraging EEG to provide real-time, personalized insights into linguistic processing.
The experimental results demonstrate significant improvements in comprehension accuracy and cognitive load management, particularly under adaptive curriculum strategies outlined by the Contextual Augmented Learning Strategy (CALS).
By bridging physiological responses with advanced educational methodologies, this work contributes a scalable and flexible approach to enhancing cognitive performance under hypoxia, aligning with the goals of understanding both physiological and pathological responses to high-altitude conditions.
由于缺氧状况对高海拔地区教育和认知恢复力具有重要意义,了解其对包括英语听力理解在内的认知功能的影响已日益受到关注。该领域的传统研究通常依赖行为评估或简单的生理指标,缺乏捕捉认知表现神经基础的精细度。
本研究提出了一个新颖的框架,将基于脑电图(EEG)的神经解码与动态语言增强模型(DLEM)相结合,以研究缺氧环境下的英语听力理解。DLEM整合了自适应词汇习得、语法情境化和文化嵌入,利用脑电图为语言处理提供实时、个性化的见解。
实验结果表明,尤其是在情境增强学习策略(CALS)概述的自适应课程策略下,理解准确性和认知负荷管理有显著提高。
通过将生理反应与先进的教育方法相结合,这项工作为提高缺氧条件下的认知表现贡献了一种可扩展且灵活的方法,符合理解高海拔条件下生理和病理反应的目标。