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