GRL-LS: A learning style detection in online education using graph representation learning
作者：
Highlights：
• Graph representation learning technique is used to identify and classify the learning style of learners.
• Precision and accuracy are improved over the previous approach based on confusion metrics.
• Learning style helps instructors to provide personalized learning resource recommendations.
• May allow the educational system to better support learners in their efforts to improve their learning process.
摘要
•Graph representation learning technique is used to identify and classify the learning style of learners.•Precision and accuracy are improved over the previous approach based on confusion metrics.•Learning style helps instructors to provide personalized learning resource recommendations.•May allow the educational system to better support learners in their efforts to improve their learning process.
论文关键词：Graph learning,Graph autoencoder,Learning style,Interactive learning environment,Learners behavior
论文评审过程：Received 8 June 2021, Revised 25 December 2021, Accepted 29 March 2022, Available online 11 April 2022, Version of Record 14 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117138
