User Attention Analysis for E-learning Systems-Towards Intelligent Tutoring

We propose a new approach for e-learning systems that incorporate user voice activity information to build collaborative and intelligent learning environments. The proposed algorithm is based on the pitch frequency, power amplitude, and duration of a voice activity signal. Voice activity detection was integrated with the e-learning system for teaching LabVIEW-based graphical programming and it was tested on a group of students. The experimental results showed that the proposed approach is practical and highly suitable for real-time applications. Finally, student survey results are introduced to measure the e-learning satisfaction and user attention analysis approach.