Curious about using AI in education without risking pupil data or trust? This course teaches you how to integrate AI and big data into real-world classrooms confidently. You will explore a consequentialist lens, so every tool is judged by learning outcomes, not hype. We dig into privacy, consent on online platforms, and the messy reality of rapid adoption in schools. If you have ever wondered who owns the data, who approves it, and who bears the risk, you are in the right place.

Through step-by-step activities, you will map risks, establish controls, and select vendors using more precise criteria. You will practise ethical risk assessment using simple checklists: impact, likelihood, safeguards, accountability, and monitoring. Expect concrete tools you can use tomorrow, such as a model consent notice for parents, a one-page Data Protection Impact Assessment, and a risk register that fits a busy schedule. We keep it practical, rooted in UK GDPR.

We also look at roles and responsibilities. Leaders shape policy and procurement, teachers set classroom norms, and learners gain digital literacy that lasts. You will learn to balance innovation and risk with smart defaults, fair AI prompts, and transparent data use. Case stories tie it together, such as a photo project using computer vision or an AI feedback assistant for essays. By the end, you will have an action plan that protects privacy and improves outcomes, ready to share with governors and families.