Student Modeling and Analysis in Adaptive Instructional Systems

Student Modeling and Analysis in Adaptive Instructional Systems

There is a growing interest in developing and implementing adaptive instructional systems to improve, automate, and personalize student education. A necessary part of any such adaptive instructional system is a student model used to predict or analyze learner behavior and inform adaptation. To help...

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Bibliographic Details
Main Authors: Jing Liang, Ryan Hare, Tianyu Chang, Fangli Xu, Ying Tang, Fei-Yue Wang, Shimeng Peng, Mingyu Lei
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Adaptive instructional systems
student modeling
multimodal learning analytics
Online Access:https://ieeexplore.ieee.org/document/9784853/

Internet

https://ieeexplore.ieee.org/document/9784853/

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