This literature review explores prior research involving physiological-based mobile educational systems. Mobile computing is advancing, and implementations of ubiquitous systems for educational purposes are increasing. Another growing field is physiological computing, where the user's states are retrieved and applied as control inputs in applications. The integration of physiological signals such as electroencephalography (EEG), heart rate (ECG/EKG), and eye-tracking (EOG) to mobile learning (m-learning) applications can enhance the learning experiences to provide content tailored to the student's and educator's preferences. This article centers around a selection of core papers that represent the most relevant contributions to the research that falls at the intersection of m-learning and physiological computing. Specifically, this article presents an analysis and discussion of state-of-the-art mobile educational systems that leverage physiological technology.

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基于生理的移动教育系统文献综述


本文献综述探讨了涉及基于生理的移动教育系统的先前研究。移动计算正在不断发展，用于教育目的的无处不在的系统的实施也在不断增加。另一个不断发展的领域是生理计算，其中检索用户的状态并将其用作应用程序中的控制输入。将脑电图 (EEG)、心率 (ECG/EKG) 和眼动追踪 (EOG) 等生理信号集成到移动学习 (m-learning) 应用程序中可以增强学习体验，提供适合学生和教育者的内容。偏好。本文围绕精选的核心论文展开，这些论文代表了对移动学习和生理计算交叉领域的研究最相关的贡献。具体来说，本文对利用生理技术的最先进的移动教育系统进行了分析和讨论。