Interviews, the traditional method of qualitative research, require significant human and financial resources and are limited in terms of the number of participants that can be reached. However, large language models (LLMs) offer an opportunity to conduct interviews at scale, thereby creating a bridge between the richness of qualitative data and the statistical power of quantitative data. Specifically, the LLM can act as an interviewer and interact with human respondents recruited on a standard online platform, such as Prolific. This makes it possible to conduct interviews with thousands of respondents in a matter of hours.

AI tools for planning and create EFL lesson, activities and materials that are more personalized for your EFL student, without compromising on quality.

To have a better understanding of how AI is changing the landscape of second language acquisition, we, the authors of this article—a language educator and an undergraduate student—have joined forces and surveyed over 100 individuals, between language learners and instructors, across several higher education institutions in the United States. The survey aims to capture a vignette of the current impact of AI tools on language learners and educators. More specifically, we seek to understand how frequently these tools are being used, the motivations behind their use, and their perceived (in)effectiveness.

While Ofqual urges caution, delaying progress risks widening the digital divide and leaving students unprepared for a tech-driven future. This post explores why we can't afford to wait on digital exams, the benefits of rapid implementation, and how to balance innovation with prudent…

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More often than not, younger people I teach seem to have less digital dexterity that I do - given than I'm over 50 and grew up without a mobile phone - why is this? This post picks up from a discussion I have had on more than one occasion with a good friend of mine.…

Forget multiple choice. Makers of standardized tests are experimenting with AI to try new kinds of assessments.

This working paper reviews the impact of artificial intelligence (AI) on equity and inclusion in education, focusing on learner-centred, teacher-led and other institutional AI tools. It highlights the potential of AI in, e.g. adapting learning while also addressing challenges such as access issues, inherent biases and the need for comprehensive teacher training.

This comprehensive guide serves as an invaluable resource for English teachers eager to embrace the opportunities AI presents. By offering actionable ideas, sound advice, and a strong foundation for navigating risks, it empowers teachers to harness AI responsibly, transforming both their classrooms and their own professional journeys.

When Google’s Gemini AI produced a disturbing response during an academic discussion, it highlighted both the technical fragility of AI systems and the real need for thoughtful implementation in education.

Generative AI is fundamentally changing how we’re approaching learning and education, enabling powerful new ways to support educators and learners. It’s taking curiosity and understanding to the next level — and we’re just at the beginning of how it can help us reimagine learning.

Explore the potential of running Large Language Models (LLMs) locally on your own device. From enhanced privacy and offline capabilities to reduced dependency on big tech, discover how local AI could transform education. This hands-on exploration compares local LLM performance with cloud-based solutions like Claude AI, examining both technical requirements and practical applications for teachers.

Daniel Miessler introduces the topic of Human 3.0 philosophy and the skills and mental frameworks needed to thrive in an AI-driven world.

Teachers and schools are reducing their reliance on digital tools to create more intentional and connected classroom experiences.

Understanding how young people are using AI at home and at school—and the differences between their adoption and that of their parents—should inform a school's approach to AI tools and policies, and also how we prepare young people for a future where AI could change everything. This new report provides important perspectives on how young people themselves feel about generative AI and how they're using it.

The rise of Generative AI (and tools such as ChatGPT) and their potential impact on education have been discussed and debated ad-nauseam. The key question, as teacher educators, is what it is that teachers need to know to intelligently integrate these technologies in their practice?

The risks posed by Artificial Intelligence (AI) are of considerable concern to academics, auditors, policymakers, AI companies, and the public. However, a lack of shared understanding of AI risks can impede our ability to comprehensively discuss, research, and react to them. This paper addresses this gap by creating an AI Risk Repository to serve as a common frame of reference.