Modeling adaptive E-Learning environment using facial expressions and fuzzy logic
作者：
Highlights：
• The approach interprets the facial expressions to provide adaptive e-learning system.
• The approach take the variances of learners’ emotional states into consideration.
• The approach proposed a methodology to summarize the detected emotional states.
• The approach uses fuzzy logic to create fuzzy learning flow adapted with each learner.
• We introduce two real corpora to evaluate the performance of the proposed approach.
摘要
•The approach interprets the facial expressions to provide adaptive e-learning system.•The approach take the variances of learners’ emotional states into consideration.•The approach proposed a methodology to summarize the detected emotional states.•The approach uses fuzzy logic to create fuzzy learning flow adapted with each learner.•We introduce two real corpora to evaluate the performance of the proposed approach.
论文关键词：Intelligent E-Learning system,Adaptive E-Learning environment,Expert E-Learning system,Fuzzy learning flow,Deep learning,Facial expression recognition
论文评审过程：Received 20 September 2019, Revised 12 April 2020, Accepted 15 April 2020, Available online 25 April 2020, Version of Record 16 May 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113460
