By feeding centuries-old nursery rhymes and folklore recordings into their own model, linguists in Louisiana hope to help a ...

Humanoid robots enter US classrooms as AI tutors and lifelike assistants transform learning for hundreds of students.

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Virtual reality and artificial intelligence can support nervous students to progress from silence to speaking confidently in foreign language classes ...

Researchers around the world are racing to develop new quantum-based systems for sensing, communication, computing and ...

Schools are often the first stable institution that refugee-background learners encounter, but they can also be a space of challenges, discrimination and exclusion. Predictable routines, ...

AI automation typically requires task-level fixed costs, such as model training or fine-tuning. We develop a quantitative task-based framework in which automation depends jointly on relative marginal ...

Task-Based Language Teaching and Learning (TBLT) is a communicative approach that positions authentic language tasks as the central unit of instruction. Originating from the communicative language ...

In classrooms across the state, children are learning to read from teachers required to use new tools, research and instruction. Known as the “science of reading,” this approach draws upon decades of ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Functional brain connectivity has been instrumental in uncovering the large-scale organization of the brain and its relation to various behavioral and clinical phenotypes. Understanding how this ...