Abstract
The purpose of this study is to design a machine learning approach to predict the student response in mixed-format tests. Particularly, a novel contextual collaborative filtering model is proposed to extract latent factors for students and test items, by exploiting the item information. Empirical results from a simulation study validate the effectiveness of the proposed method.
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Cited by
2 articles.
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