Forum, News & Blogs

AI can now write code — but does that mean students are learning less? This blog explores new research and what it means for how we teach programming.

Recent research from Anthropic analysing how people use its AI assistant Claude AI suggests that artificial intelligence is more often supporting workers than replacing them. Instead of automating entire jobs, AI is typically used to help complete specific tasks such as writing, coding, or analysing information. For teachers, this highlights the importance of developing students’ critical thinking, problem solving and subject understanding, so they can evaluate and improve AI-generated work. For students studying computing, strong technical foundations remain essential, but they will increasingly need to work alongside AI tools in professional environments. The report also reinforces the growing importance of digital and AI literacy, helping young people understand how AI systems work, recognise their limitations, and use them responsibly in future careers.

Join us at King's for an in-person lecture, introducing young people to this vital aspect of computer science. Attendees will have the chance to explore what cybersecurity is, and why its important.

The Royal Society’s new report, System Upgrade Required, shines a light on the urgent need to strengthen computing in UK schools — from tackling the gender gap to supporting teachers and improving access to tech. This blog unpacks the key findings, what they mean for your classroom, and how teachers can help ensure every child gets the opportunity to thrive in our digital world.

Microsoft’s 2025 AI in Education Report shows that AI is rapidly becoming part of everyday teaching and learning, with students and teachers using it to plan lessons, support learning, and cut workload. While AI offers real potential for personalisation, equity, and improved outcomes, gaps remain in teacher training, digital literacy, and clear policies for safe, ethical use. The report urges schools to move beyond ad hoc adoption by embedding AI into professional learning, co-creating usage guidelines with students, and aligning tools with their educational goals. For teachers, the key takeaway is that AI works best as a partner—not a replacement—when thoughtfully integrated into classroom practice.

The blog post discusses the shortage of computer science teachers in the UK, highlighting how this issue disproportionately affects students from disadvantaged backgrounds. The article points out that schools in poorer areas are less likely to offer computer science A-levels, which can limit students' access to high-paying careers in the tech industry. It suggests that this teacher shortage is a significant barrier to social mobility.

The 2025 AI Literacy Framework outlines 22 competencies in 4 domains, guiding leaders and teachers to embed AI skills, ethics, and creativity across subjects, preparing students for an AI-driven world

Key updates to the Gatsby Benchmarks for schools and colleges from September 2025, including new leadership roles, data tracking, and inclusive guidance tailored to each setting.