The final, formatted version of the article will be published soon. The emergence of Large Language Models (LLMs) has opened new possibilities for language learning through conversational interaction ...
In response to the continuing existence of these gaps, the National Academies of Sciences (2023) issued a report recommending broad policy improvements to reduce such gaps for young children, ...
Abstract: Non-English speaking students are often required to give presentations in English. Using CALL (Computer-Assisted Language Learning), students can practice English pronunciation as many times ...
Thor Sawin has received funding for teacher development projects through the State Department Fulbright Specialist and English Language Specialist program, as well as the US Air Force and LCC ...
As technology evolves, researchers are finding powerful ways to integrate computation, automation and artificial intelligence into their work. At the forefront of this transformation are chemists from ...
Speaking — even trying to speak — a language will help open doors on your next trip, and achieving a “survival level” might be easier than you think. By Ruffin Prevost There are plenty of reasons to ...
Abstract: In the current educational environment, Computer-Assisted Language Learning (CALL) has become a significant method for enhancing students' English language acquisition and engagement. This ...
When you're writing code, you're laying out instructions on what you'd like to see on the app you're building or the website you're designing. But there are a number of coding languages to choose from ...
On May 1, the World Languages and Digital Humanities Studio hosted the final event of the semester. The Computer Assisted Language Learning (CALL) 2026 Edited Volume Roundtable featured a panel of ...
Advances in L2 pronunciation instruction have embraced technology-enhanced multimodal approaches, engaging auditory, visual, and kinesthetic modalities to create interactive, immersive learning ...
Research has highlighted the promise of computer-assisted learning (CAL), potentially offering both learning gains and affordable scalability. However, such evidence is often based on idealistic ...
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