Improving knowledge tracing model by integrating problem difficulty

Improving knowledge tracing model by integrating problem difficulty

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...

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Bibliographic Details
Main Authors: MINN, Sein, ZHU, Feida, DESMARAIS, Michel C.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
deep learning
complex skill composition
problem difficulty
knowledge tracing
Student model
robust learning
Artificial Intelligence and Robotics
Computer Sciences
Educational Methods
Online Access:https://ink.library.smu.edu.sg/sis_research/4327
https://ink.library.smu.edu.sg/context/sis_research/article/5330/viewcontent/ImprovingKnowledgeTracingModel_pv.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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