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3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
29 January 2024
Liang Zhang
Jionghao Lin
Conrad Borchers
Meng Cao
Xiangen Hu
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Papers citing
"3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems"
4 / 4 papers shown
Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
Liang Zhang
Jionghao Lin
John Sabatini
Diego Zapata-Rivera
Carol Forsyth
Yang Jiang
John Hollander
Xiangen Hu
Arthur C. Graesser
316
0
0
23 Mar 2025
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
IEEE Transactions on Learning Technologies (IEEE TLT), 2024
Liang Zhang
Jionghao Lin
John Sabatini
Conrad Borchers
Daniel Weitekamp
Meng Cao
John Hollander
Xiangen Hu
Arthur C. Graesser
353
5
0
24 Sep 2024
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations
Jiarui Rao
Jionghao Lin
AI4Ed
226
12
0
06 Jul 2024
SPL: A Socratic Playground for Learning Powered by Large Language Model
Liang Zhang
Jionghao Lin
Ziyi Kuang
Sheng Xu
Mohammed Yeasin
Xiangen Hu
LLMAG
258
13
0
20 Jun 2024
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