%0 Journal Article
%T Tracking StudentsĄŻ Mental Engagement Using EEG Signals during an Interaction with a  Virtual Learning Environment
%A Asma Ben Khedher
%A Im¨¨ne Jraidi
%A Claude Frasson
%J Journal of  Intelligent Learning Systems and Applications
%P 1-14
%@ 2150-8410
%D 2019
%I Scientific Research Publishing
%R 10.4236/jilsa.2019.111001
%X Monitoring studentsĄŻ level of engagement during learning activities is an important challenge in the development of tutoring interventions. In this paper, we explore the feasibility of using electroencephalographic signals (EEG) as a tool to monitor the mental engagement index of novice medicine students during a reasoning process. More precisely, the objectives were first, to track studentsĄŻ mental engagement evolution in order to investigate whether there were particular
sections within the learning environment that aroused the highest engagement level among the students, and, if so, did these sections have an impact on learnersĄŻ performance. Experimental analyses showed the same trends in the different resolution phases as well as across the different regions of the environments. However, we noticed a higher engagement index during the
treatment identification phase since it aroused more mental effort. Moreover statistically significant effects were found between mental engagement and studentsĄŻ performance.
%K EEG
%K Engagement Index
%K LearnersĄŻ Performance
%K Computer-Based Learning Environments
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=89991