A novel approach for attention management in e-learning systems

This study presents new approaches for the detection and treatment of the attention of a student by an e-learning system through the use of the information given by the implicit interaction of the student with the system and the data coming from non-invasive devices such as webcams. Furthermore, the paper proposes two models for the treatment of the attention of students to be applied to an existing e-learning environment, in order to provide personalized content to the students and thus improving their learning experience.