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Maths for Pros: Matchday Challenge
Image 1 : Prototype interface for Maths for Pros: Matchday Challenge, combining football-themed maths tasks, streak tracking, and rewards. Maths for Pros: Matchday Challenge is a maths-based learning game designed for Thomas, an 11-year-old who has recently started secondary school. Thomas often finds traditional maths homework unengaging, but he enjoys football, social interaction, and games. He is also a committed Newcastle United fan. The game aims to reframe maths practic


Ubongo Kids in 20 years: using AI to turn broadcast learning into meaningful feedback
Ubongo Kids’ success so far is not accidental. It comes from combining curriculum-based learning with strong storytelling and a clear focus on local languages and cultural relevance. Research on educational media suggests that learning is more effective when educational content is embedded in engaging narratives instead of delivered in a purely instructional way (Holmes, Bialik and Fadel, 2019). Using television, radio, and low-data digital platforms has helped Ubongo reach c


My Personal Learning Network: how I learn, who I learn with, and how this may change
Creating an online version of my Personal Learning Network (PLN) has helped me realise that my learning does not happen in a straight line or within a single space. Instead, it develops through a mix of people, tools, conversations, and ideas that interact in ways I do not always plan. Mapping this network has encouraged me to think more carefully about how I learn, what I value most, and how much control I actually have over my learning. Interaction with Others At the centre


Artificial Neural Networks
Artificial neural networks (ANNs) are a key technology behind many of the digital tools we use today, including those in education, search engines, and AI systems. Although artificial neural networks are often described as complex in academic and public discussions, the basic idea behind them is quite simple (Goodfellow, Bengio and Courville, 2016). Neural networks are designed to recognise patterns in data by learning from examples, instead of following fixed rules. Understa
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