Using eye tracking technology can help us understand reading behavior.Furthermore, sharing the teacher's eye tracking features resulted in improving the students' comprehension of the same reading material [1].On the other hand, a user's intention can be analyzed by physiological data,such as electroencephalogram (EEG) [2].EEG is closely related to human cognition [3].Recently,researchers have tried to use EEG-based engagement measures to augment learning activities.The BRAVO system constantly analyzes users' brain activity, and estimates their attention and meditation levels, and presents users with learning material that only results in high engagement [4].