Tag: research and impact
All blog posts-
Not all explanations are equal: Social Explainable AI and Critical Computational Literacy
Teaching young people engage critically with AI-generated explanations
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Join our new UK study on teaching AI ethics and sustainability in lower secondary school
New study invites UK computing teachers to explore AI ethics, sustainability
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How to improve students’ problem-solving skills using subgoal labels
Subgoal labels can help students problem solve and improve performance
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How to design and present clear computing lessons
Mayer's Principles can help educators teach in ways that reduce cognitive load
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What students and teachers in England want from a computing curriculum
Students and teachers want a practical, relevant, inclusive, future-facing curriculum
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Can AI support creativity? What educators can learn from creative machine learning
Creative machine learning supports learners' experimentation and agency
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AI is not neutral: What recent research says about bias, identity, and power
Computational methods are not objective — here's how to address this in the classroom
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Professional development: How to stay ahead in a fast-changing subject
Practical tips for effective professional development for computing teachers
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Experience AI: Reaching millions of young people with AI literacy
Experience AI builds knowledge and confidence to engage with AI
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How to put data first in K–12 AI education by using data case studies
Research on data concepts and data practices for teaching practical data science
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A research-led framework for teaching about models in AI and data science
The data paradigms framework describes ways to teach about data science and AI models
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2025 highlights from the Raspberry Pi Computing Education Research Centre
Projects from AI education to debugging and physical computing
