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Computational Modeling

This theme is led by Alona Fyshe, University of Alberta, and Muhammad Abdul-Mageed, UBC. Computational models of reading – mathematically explicit models requiring intensive computations based on large data sets – can illuminate how the various perceptual and cognitive processes of reading work together, such as those involved in recognizing words, processing sentences, and comprehending meaning.

Measuring Learning Affect to Understand How They Manage It When Playing Literacy Games

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Computational Modeling

Using Technology to Support and Understand Nehiyawewin (Plains Cree) Language Learning

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Computational Modeling

Identifying negative language transfer in learner writing: using syntactic information to model structural differences

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Computational Modeling

Machine Translation of Dreamscape

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Computational Modeling

How do English language learners monitor and regulate their feelings during reading?

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Computational Modeling

The Working Group on Language and Literacy

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