Fine Grain Synthetic Educational Data: Challenges and Limitations of Collaborative Learning Analytics

Fine Grain Synthetic Educational Data: Challenges and Limitations of Collaborative Learning Analytics

While data privacy is a key aspect of Learning Analytics, it often creates difficulty when promoting research into underexplored contexts as it limits data sharing. To overcome this problem, the generation of synthetic data has been proposed and discussed within the LA community. However, there has...

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Bibliographic Details
Main Authors: Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Synthetic learner data
student modeling
data sharing
data challenge
Online Access:https://ieeexplore.ieee.org/document/9726239/

Internet

https://ieeexplore.ieee.org/document/9726239/

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