Cognitive-aware lecture video recommendation system using brain signal in flipped learning pedagogy
作者：
Highlights：
• Brain waves of student are captured using single-channel headset at our laboratory.
• Brain signal is analyzed to find similar behavior exhibited over video duration.
• EEG data of learners is exploited to develop cognitive-aware recommender system.
• Attentive Index plays an important role in proposed lecture recommender system.
• Proposed method is evaluated using standard evaluation metrics on captured data.
摘要
•Brain waves of student are captured using single-channel headset at our laboratory.•Brain signal is analyzed to find similar behavior exhibited over video duration.•EEG data of learners is exploited to develop cognitive-aware recommender system.•Attentive Index plays an important role in proposed lecture recommender system.•Proposed method is evaluated using standard evaluation metrics on captured data.
论文关键词：Cognitive-Aware Model (CAM),Dynamic Time Warping (DTW),Electroencephalography (EEG),Flipped Learning (FL),K-means clustering,Recommender System (RS)
论文评审过程：Received 23 February 2022, Revised 1 July 2022, Accepted 2 July 2022, Available online 8 July 2022, Version of Record 13 July 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118057
