Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer

Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer

In online intelligent education systems, to offer proactive studying services to students (e.g., learning path recommendation), a crucial demand is to track students’ knowledge mastery levels over time. However, existing works ignore the impact of learning transfer on knowledge tracing an...

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Bibliographic Details
Main Authors: Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Knowledge tracing
learning transfer
data mining
education priors
dynamic modeling
probability graph model
Online Access:https://ieeexplore.ieee.org/document/9230428/

Internet

https://ieeexplore.ieee.org/document/9230428/

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