Abstract: A number of studies have investigated the evaluation of learner engagement throughout the learning activity, which is essential for maximizing learning efficiency. Real-time measurement of learner's biometric information is expected to be utilized to evaluate a learner's attitude and provide real-time feedback on a learning activity. In our previous papers, we reported some usefulness of evaluations based on brainwave and pulse wave analyses. However, the brainwave analysis is not suited for real-time evaluation in daily life due to the necessity of wearing a dedicated detector all the time. On the other hand, several analyses have been reported to evaluate one's mental condition based on pulse wave analysis; however, most of them take a certain amount of time to analyze the data and are not suited for real-time evaluation. This paper reported a quantitative study on our evaluation based on newly proposed RRI fluctuation that was calculated from the real-time Lorenz plot and demonstrated usefulness and consistency with the conventional analyses. Furthermore, this paper reported on the possible usefulness of eye movements, including eye blinking and eyeball movements, which can be measured by three electrodes embedded to eyeglasses, enabling students to wear it without any additional stress.