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Back to the Basics: Bayesian Extensions of IRT Outperform Neural Networks for Proficiency Estimation
Peer reviewed
Download full textWilson, Kevin H.; Karklin, Yan; Han, Bojian; Ekanadham, Chaitanya – International Educational Data Mining Society, 2016
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. We evaluate how well each model predicts a student's future response given…
Descriptors: Item Response Theory, Bayesian Statistics, Computation, Artificial Intelligence
