Concept

Framework (Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing)

Based on student ids items and outcomes the authors generate the number of successful/unsuccessful attempts. They use 5-fold cross validation. and divide data into train and test sets. Non temporal datasets are trained for 1000 epochs , assistments - 500 and Berkeley - 300.

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Updated 2020-11-27

Tags

Data Science