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On predicting student performance using low-rank matrix factorization techniques
Stephan Sloth Lorenzen
, Dang Ninh Pham,
Stephen Alstrup
Department of Computer Science
3
Citations (Scopus)
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Dive into the research topics of 'On predicting student performance using low-rank matrix factorization techniques'. Together they form a unique fingerprint.
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Keyphrases
Student Performance Prediction
100%
Low-rank Matrix Factorization
100%
Clio
40%
Active Student
20%
Dense Subset
20%
Adaptive Hints
20%
Extensive Application
20%
Quiz Systems
20%
Low-rank Approximation
20%
Matrix Weight
20%
Online Learning Platform
20%
Online Learning Materials
20%
Educational Data Mining
20%
Mathematics
Factorization Technique
100%
Dense Subset
20%
Low-Rank Approximation
20%
Computer Science
Initialization Method
40%
Rank Approximation
20%
Individual Student
20%
Initial Value
20%
Learning Community
20%
Educational Data Mining
20%