AI & Data Science for Computing KS3–KS4

Complete AI and Data Science Computing unit for KS3–KS4 with 8 editable lessons, PowerPoints, student activities, teacher answers and assessment.

A classroom-ready teaching toolkit designed to help Computing teachers introduce artificial intelligence, machine learning, data science, algorithmic bias, generative AI and responsible AI confidently and accurately.

Designed to save teacher preparation time — open the resources and start teaching.

8 complete lessons

• What Is Artificial Intelligence?
• How Machines Learn from Data
• Classification & Model Accuracy
• Data Science: From Data to Decisions
• Bias, Fairness & Technological Bias
• Generative AI & Large Language Models
• Deepfakes, Misinformation & Verification
• Responsible AI Design Challenge

The complete toolkit includes

• 8 editable PowerPoint lessons
• Student Activity Workbook
• Teacher Answer & Discussion Guide
• Model answers and expected responses where appropriate
• Baseline assessment
• End-of-unit assessment
• 25-mark teacher mark scheme
• Knowledge Organiser
• Scheme of Work & Curriculum Map
• Teacher Implementation Guide
• Common misconceptions and teaching guidance
• Computing Curriculum Change Briefing
• AI, data and algorithmic-bias activities
• Responsible AI project/challenge
• Teach It Tomorrow quick-start resource

Teacher answers included

Activities with defined answers include teacher answers. Open-ended activities include model responses, expected points and discussion guidance, while the assessment includes a complete mark scheme.

Teach It Tomorrow

The pack includes a quick-start route specifically designed for teachers who want to introduce the topic with minimal preparation.

Relevant and future-facing

The resources can be used within Computing teaching now while addressing increasingly important areas including AI literacy, data science, machine learning, technological bias, evaluating AI-generated information and responsible use of AI.

Suitable for KS3 and KS4 Computing, curriculum enrichment, digital literacy, introductory AI teaching, Computing clubs and departments developing their AI and data science provision.

Activities are designed so that core learning does not require students to have individual generative-AI accounts.

All materials are supplied digitally and are designed to be practical, editable and classroom-ready.

Important: This is an independent educational resource. References to curriculum developments are based on information available at the time of publication. Schools should follow the current statutory curriculum, qualification specifications and their own policies.