AI-Generated incremental adaptive data storytelling for young learners

In a world increasingly shaped by data, developing data literacy at an early age is essential. This paper introduces a visionary framework that reimagines how primary school students can develop data literacy through AI-generated incremental and adaptive data storytelling (IADS). Teachers leverage a User-Rendered Context-Augmented (URCA) AI model to craft personalised, evolving educational narratives that align with classroom context and student progress. These data-driven stories adapt over time to reinforce misunderstood concepts and scaffold increasingly complex data ideas, transforming learning into a dynamic, inclusive, and emotionally engaging experience. By uniting generative AI with pedagogically informed narrative design, we propose a novel path for technology-enhanced learning that fosters accessibility, inclusion, and deeper understanding. This paper sets the foundation for a new generation of AI-driven educational tools and outlines future directions for empirical validation, with the potential to reshape how we teach data, support teachers, and bridge educational divides.