Difference between revisions of "Feature-Aware Student knowledge Tracing (FAST)"
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Revision as of 03:29, 4 April 2016
Feature-Aware Student knowledge Tracing (FAST) is a new student model created by PAWs lab and Pearson with the state-of-the-art predictive performance. For the first time it unifies existed specially designed student models based on Knowledge Tracing framework with integrated advantages: compared with the most popular student model, Knowledge Tracing, (1) it improves up to 25% in classification performance, (2) it generates more interpretable, consistent parameters, and (3) it is 300 times faster. In a follow-up study, we compared FAST to the best paper model (a single-purpose model) of the same year with favorable results while FAST is designed as a general-purpose model. The main paper was nominated for the Best Paper Award in a top-tier conference in 2014. Both the main and the follow-up papers were cited by top researchers in the field from Carnegie Mellon University, Stanford, Cornell, ETH Zurich (etc.) with in total 34 citations since 2014 (till 04/2016).
