Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

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 ...

Hu, D. (2026) Transformer-Based Automatic Item Generation for Course-Based Test Items: A Case Study of Translation Tasks in China’s Context. Open Journal of Modern Linguistics, 16, 115-128. doi: ...

Across India, the walls of slum communities are springing to life with concepts etched into them through drawings, graphics, ...

The Brookbush Institute continues to enhance education with new articles, new courses, a modern glossary, an AI Tutor, ...

I remember the first time I attended a linguistics lecture as an undergraduate in Argentina. The lecturer asked a simple question: where does language come from? My instinctive answer was: books.

Semantic Scholar and Research Rabbit differ in discovery approach; one centers on figures and references, the other maps ...

The late Salt Spring Island resident Sydney Banks was a welder at the giant Harmac Pacific pulp mill, with a Grade 9 education from Scotland.

Four seconds into one version of "Old MacDonald Had a Farm," an animated horse with two arms and four legs hatches from an egg.

Didactic Triangle, Teacher, Learner, Content, Industry-Driven Curriculum, Employability, Needs Analysis, Course Design, Teacher Training Raddaoui, A. (2026) From Didactic Triangle to Pedagogical ...

Tests and exams often inform too late what should have been known earlier. Stealth assessment and adaptive training may provide exciting opportunities.

Teachers deserve AI tools that know the difference between a worksheet and a learning experience; Designing assessments that assume AI is present; AI didn’t break ho ...