Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
Published in arXiv (Cornell University) • Sep 24, 2024
Authors:,,
Liang Zhang
Jionghao Lin
John Sabatini
Abstract
Learning performance data describe correct and incorrect answers or problem-solving attempts in adaptive learning, such as in intelligent tutoring systems (ITSs). Learning performance data tend to be highly sparse (80\%\(\sim\)90\% missing observations) in most real-world applications due to adaptiv...
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