An action sequence autoencoder turns computer-based assessment log files into low-dimensional features that improve prediction of scores, age, and gender compared with using only right/wrong answers.
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An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
An action sequence autoencoder turns computer-based assessment log files into low-dimensional features that improve prediction of scores, age, and gender compared with using only right/wrong answers.