计算机科学
追踪
知识获取
多样性(控制论)
过程(计算)
德雷福斯技能获得模型
智能教学系统
人机交互
人工智能
程序设计语言
经济增长
经济
作者
Sein Minn,Feida Zhu,Michel C. Desmarais
标识
DOI:10.1109/icdmw.2018.00220
摘要
Intelligent Tutoring Systems (ITS) are designed for providing personalized instructions to students with the needs of their skills. Assessment of student knowledge acquisition dynamically is nontrivial during her learning process with ITS. Knowledge tracing, a popular student modeling technique for student knowledge assessment in adaptive tutoring, which is used for tracing student's knowledge state and detecting student's knowledge acquisition by using decomposed individual skill or problems with a single skill per problem. Unfortunately, recent KT models fail to deal with practices of complex skill composition and variety of concepts included in a problem simultaneously. Our goal is to investigate a student model that compatible for problems with multiple skills and various concept.
科研通智能强力驱动
Strongly Powered by AbleSci AI