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.