Projects

Spoken language and literacy are two of the skills necessary for involvement in our society. They are essential for developing friendships, voting, negotiating your child’s placement in a classroom, and for economic security, finding and keeping a job or taking out a mortgage. In short, language and literacy are extremely important for our overall health and well-being. 

Our team will create knowledge on how spoken language can be most effectively taught, learned and used to support reading. We are also researching when and how the incorporation of technology can facilitate language acquisition and reading comprehension. We will pay special attention to learners whose cultural and linguistic backgrounds may not match the dominant language of the society. 

The application of computational modeling and deep learning to the vast data we are assembling will offer transformative insights. We are working with partners to create new and more easily accessible tools and platforms for language and literacy learning and instruction, new algorithms for deep learning, and optimized software for the analysis and integration of the results from behavioral and neuroimaging studies.

You can find out more details about each of our research projects below.

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

Most computer-assisted language learning (CALL) systems have been developed to support privileged learners who want to acquire additional languages. A lack of appropriate supports for members of Indigenous communities continues to reinforce the message that knowing one’s Indigenous language is undesirable. Despite this messaging, many Indigenous people want to use technology to help them learn...

Automatic Comprehension Question Generation: Technology as the Ultimate Teacher’s Pet

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

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The International Bilingual Education (IBE) Project

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UBC-DIVERSEcity Language and Literacy Project

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

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Putting teachers at the centre of transforming teaching tools for literacy

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Reviewing the Existing Research on Language and Literacy

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Machine Translation of Dreamscape

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