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Data literacy for older students

If you are a teacher of students aged 11 to 16, use these projects, units of work, and professional development courses to help you teach them data literacy. You can use them in computing or other lessons.

About data literacy

Data literacy is the ability to gather, visualise, interpret, and communicate data as information, and understand the role of data in making decisions that impact society and the environment. It is fundamental to science, areas of mathematics, and AI literacy.

Using the micro:bit enables opportunities to experience first-hand how data collected by computer sensors becomes digital data. The resources on this page support learning about how data becomes information so it can be used in problem-solving, making decisions, and recommendations for change.

Science

Projects for use in science lessons

AI

Data is an integral part of machine learning and other kinds of AI

  • Seven lessons introducing AI in general and unpacking what students already know about sorting data, before getting hands-on, creating, testing and improving their own machine learning models to be used as new inputs in code on the micro:bit.

  • Explores foundational AI concepts and vocabulary with a focus on understanding how it works, the human role in designing them, and considering their impact. Includes strategies for teaching AI literacy in your classroom.

Sport

Projects for use in sports lessons