Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation

8 Apr 2016Kevin H. WilsonYan KarklinBojian HanChaitanya Ekanadham

Estimating student proficiency is an important task for computer based learning systems. We compare a family of IRT-based proficiency estimation methods to Deep Knowledge Tracing (DKT), a recently proposed recurrent neural network model with promising initial results... (read more)

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