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Modeling Knowledge Acquisition from Multiple Learning Resource Types

Modeling Knowledge Acquisition from Multiple Learning Resource Types

Siqian Zhao
Chunpai Wang
Shaghayegh Sherry Sahebi
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Papers citing "Modeling Knowledge Acquisition from Multiple Learning Resource Types"

3 / 3 papers shown
Title
Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
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
84
0
0
23 Mar 2025
Dynamic Key-Value Memory Networks for Knowledge Tracing
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang
Xingjian Shi
Irwin King
Dit-Yan Yeung
AI4Ed
KELM
65
619
0
24 Nov 2016
Time-varying Learning and Content Analytics via Sparse Factor Analysis
Time-varying Learning and Content Analytics via Sparse Factor Analysis
Andrew Lan
Christoph Studer
Richard G. Baraniuk
83
61
0
19 Dec 2013

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