Learning style Identifier: Improving the precision of learning style identification through computational intelligence algorithms
作者：
Highlights：
• Four separate computational intelligence algorithms used to identifying learning styles.
• Precision is improved over existing approaches based on a similarity and accuracy metric.
• May allow adaptive learning systems to better support students improving learning for students.
• Two new performance metrics introduced based on results for individual students.
• Proposed approaches are found to improve results based on these new metrics.
摘要
•Four separate computational intelligence algorithms used to identifying learning styles.•Precision is improved over existing approaches based on a similarity and accuracy metric.•May allow adaptive learning systems to better support students improving learning for students.•Two new performance metrics introduced based on results for individual students.•Proposed approaches are found to improve results based on these new metrics.
论文关键词：Intelligent tutoring systems,Distance education and telelearning,Interactive learning environments,Computational intelligence
论文评审过程：Received 11 November 2016, Revised 3 January 2017, Accepted 24 January 2017, Available online 24 January 2017, Version of Record 1 February 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.01.021
