Opening Up an Intelligent Tutoring System Development Environment for Extensible Student Modeling

被引:15
作者
Holstein, Kenneth [1 ]
Yu, Zac [1 ]
Sewall, Jonathan [1 ]
Popescu, Octav [1 ]
McLaren, Bruce M. [1 ]
Aleven, Vincent [1 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
来源
ARTIFICIAL INTELLIGENCE IN EDUCATION, PART I | 2018年 / 10947卷
基金
美国国家科学基金会;
关键词
Authoring tools; Architectures; Closing the loop; Student modeling; Learning analytics; Intelligent tutoring systems;
D O I
10.1007/978-3-319-93843-1_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
ITS authoring tools make creating intelligent tutoring systems more cost effective, but few authoring tools make it easy to flexibly incorporate an open-ended range of student modeling methods and learning analytics tools. To support a cumulative science of student modeling and enhance the impact of real-world tutoring systems, it is critical to extend ITS authoring tools so they easily accommodate novel student modeling methods. We report on extensions to the CTAT/Tutorshop architecture to support a plug-in approach to extensible student modeling, which gives an author full control over the content of the student model. The extensions enhance the range of adaptive tutoring behaviors that can be authored and support building external, student- or teacher-facing real-time analytics tools. The contributions of this work are: (1) an open architecture to support the plugging in, sharing, re-mixing, and use of advanced student modeling techniques, ITSs, and dashboards; and (2) case studies illustrating diverse ways authors have used the architecture.
引用
收藏
页码:169 / 183
页数:15
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