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Download full textVoß, Lydia; Schatten, Carlotta; Mazziotti, Claudia; Schmidt-Thieme, Lars – International Educational Data Mining Society, 2015
Machine Learning methods for Performance Prediction in Intelligent Tutoring Systems (ITS) have proven their efficacy; specific methods, e.g. Matrix Factorization (MF), however suffer from the lack of available information about new tasks or new students. In this paper we show how this problem could be solved by applying Transfer Learning (TL),…
Descriptors: Transfer of Training, Intelligent Tutoring Systems, Statistics, Probability
