Learning Behavior Analysis for Personalized E-Learning using EEG Signals

• Published in: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) pp. 1 - 9
• Main Authors: Sudharsan, Sushmitha, Siddharth, S, Uma, M, Kaviyaraj, R
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.05.2024
• Subjects: Accuracy; Attention; Beta Waves; Brain modeling; Concentration; Deep learning; Education; Electroencephalography; Electroencephalography (EEG); Kendall Tau; Machine learning algorithms; Mean Threshold Selection; Power Ratio Analysis; Random Forest; Real-time systems; RNN (Recurrent Neural Network); Support Vector Machines (SVM); Theta Waves; Visualization

Focus is regarded as critical for students to learn properly, retain knowledge, absorb tough content, and manage time effectively, especially while learning from online video resources. However, maintaining focus over long study periods can be challenging, thus a drop in concentration results in low...