Personalized Exercise Recommendation via Implicit Skills

摘要：

　　Cognitive diagnosis methods need to assess the students'skills to provide personalized exercise recommendation.To perform this assessment,an initially hand built Q-matrix are presented to students,which would affect the recommendation results in intelligence education.However,very few previous studies have examined this exercise recommendation task on utilizing the implicit skills among exercises,in which the opinions of implicit skill might carry extra specific knowledge.We propose a data-driven frame to reconstruct Q-matrix automatically from implicit skills perspective and explore the utility of Dynamic Key-Value Memory Networks to solve this task.Experimental results demonstrate that our method has a guiding significance in pedagogical theory.

关键词： Personalized Exercise Recommendation Q-matrix Dynamic Key-Value Memory Networks

作者: Wenying Kang Lei Zhang Bo Li Jing Chen Xia Sun Jun Feng

作者单位: School of Information Science and Technology,Northwest University Xi'an,China

会议类型: 国际会议

会议名称: 2019国图灵大会(ACM Turing Celebration conference-China 2019 )

会议地点: 成都

会议语种:英文

页码: 111-116

在线出版日期: 2019-05-17（万方平台首次上网日期，不代表论文的发表时间）