Everything about Avallain Lab

Simply asking questions is not enough to understand the people we serve. Effective research and responsible design require more thoughtful,...

Rapid technological, social and linguistic change is reshaping language education and research. In this piece, Prof John Traxler reflects on...

Creating meaningful, impactful AI tools relies on collaboration and real-world testing. The ‘AI for Teaching Innovation’ project at the Edinburgh...

Language carries assumptions, cultural context, and implicit meaning that make comprehension and translation difficult for humans and even more complex...

Intelligence, whether human or artificial, cannot be determined purely through rational or quantitative measures. It also involves interpreting context, nuance...

Learning analytics has been praised for its potential to improve teaching and learning, but can insights from virtual learning environments...

How can AI tools support teachers while respecting local contexts, infrastructure limits and professional expertise? This piece examines a TeacherMatic...

What if mobile learning had the intelligence and context it lacked 25 years ago? This piece revisits the rise and...

‘From The Ground Up’ is a new report and research-based framework designed in line with Avallain Intelligence, our strategy for...

Educational technology is often seen as a straightforward solution to teaching challenges. Yet, beneath the surface lies a complex dynamic....

As generative AI becomes more deeply embedded in digital education, it no longer simply delivers knowledge; it shapes it. What...

True inclusivity in digital education demands more than good intentions. Colonial legacies still influence the technologies and systems we use...