An intelligent adaptive fuzzy-based inference system for computer-assisted language learning
作者：
Highlights：
• Fuzzy inference system for dynamic delivery of language learning material.
• Knowledge inference relationships among learning objects for personalized learning.
• Hybrid model for misconception diagnosis and identification using machine learning.
• Framework of machine learning and fuzzy logic for individualized language learning.
• Implementation of expert system and evaluation using an established framework.
摘要
•Fuzzy inference system for dynamic delivery of language learning material.•Knowledge inference relationships among learning objects for personalized learning.•Hybrid model for misconception diagnosis and identification using machine learning.•Framework of machine learning and fuzzy logic for individualized language learning.•Implementation of expert system and evaluation using an established framework.
论文关键词：Adaptivity,Misconception detection and identification,Inference system,Intelligent Tutoring Systems,Second language acquisition,Personalization
论文评审过程：Received 10 December 2018, Revised 2 March 2019, Accepted 2 March 2019, Available online 4 March 2019, Version of Record 8 March 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.003
