Computing · Year 6 · The Impact of Technology on Society · Summer Term

Introduction to Artificial Intelligence

Students explore what Artificial Intelligence (AI) is, its basic capabilities, and common examples in daily life.

• National Curriculum Attainment Targets
• KS2: Computing - Digital Literacy

About This Topic

In Year 6 Computing, students define Artificial Intelligence (AI) as computer systems designed to mimic human intelligence in specific tasks, such as speech recognition or pattern prediction. They examine everyday applications like voice assistants that respond to commands, recommendation systems on video platforms, and smart toys that learn from play. This topic aligns with the UK National Curriculum's digital literacy strand by helping students explain AI's data-processing role and its societal impacts in the summer unit on technology.

Students compare AI's strengths in speed and repetition to human qualities like creativity and empathy, then predict changes over the next decade, such as AI aiding doctors or self-driving cars. These activities build critical evaluation skills, ethical reasoning, and forward-thinking, preparing pupils for a tech-driven world.

Active learning excels with this topic because AI feels distant and complex. When students program simple decision trees or debate AI scenarios in groups, they test concepts hands-on, confront limitations through experimentation, and connect abstract ideas to real life, boosting engagement and retention.

Key Questions

1. Explain how AI is used in everyday applications like voice assistants or recommendation systems.
2. Compare the intelligence of a human to a simple AI program.
3. Predict how AI might change our lives in the next ten years.

Learning Objectives

• Explain how AI systems process data to perform tasks like voice recognition or content recommendation.
• Compare the strengths of AI, such as speed and accuracy in repetitive tasks, with human abilities like creativity and empathy.
• Identify at least three common AI applications encountered in daily life, such as smart home devices or online search engines.
• Predict potential societal changes over the next ten years resulting from advancements in AI technology.

Before You Start

Introduction to Programming Concepts

Why: Students need a basic understanding of instructions and sequences to grasp how algorithms work within AI.

Data Handling and Representation

Why: Understanding how data is collected and presented is foundational for comprehending how AI systems learn from it.

Key Vocabulary

Artificial Intelligence (AI)	Computer systems designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.
Machine Learning	A type of AI that allows computer systems to learn from data and improve their performance on a task without being explicitly programmed for every step.
Algorithm	A set of step-by-step instructions or rules that a computer follows to complete a task or solve a problem.
Data	Information, often in the form of facts, statistics, or observations, that AI systems use to learn and make decisions.

Watch Out for These Misconceptions

Common Misconception

AI thinks and feels like humans.

What to Teach Instead

AI simulates intelligence through algorithms and data patterns but lacks consciousness or emotions. Role-playing activities where students act as AI making rule-based choices reveal these limits, helping pupils refine ideas through comparison and group talk.

Common Misconception

AI works magic without human input.

What to Teach Instead

All AI relies on programming and training data created by people. Hands-on coding simple AI models shows pupils the step-by-step logic, correcting the view via trial, error, and debugging in collaborative settings.

Common Misconception

AI can do any task perfectly.

What to Teach Instead

AI excels in narrow areas but fails in general or novel situations. Challenge games pitting AI against humans highlight errors, with peer debriefs building nuanced understanding through evidence and discussion.

Active Learning Ideas

Think-Pair-Share: AI in Daily Life

Students list three everyday AI examples individually for two minutes. In pairs, they share and classify them as voice, visual, or predictive AI, noting data inputs and outputs. Pairs report one example to the class for discussion.

20 min·Pairs

Small Groups: Human vs AI Challenge

Divide class into groups of four. Each group brainstorms five tasks, like drawing a picture or solving a puzzle, then votes if AI or human does it best and why. Groups present findings on a shared chart.

30 min·Small Groups

Whole Class: Future AI Predictions

Pose key question on AI's next ten years. Students write one prediction on sticky notes, place on board by category like transport or education. Class votes and discusses most likely impacts.

25 min·Whole Class

Individual: Simple AI Flowchart

Provide templates for decision-making flowcharts. Students create one for a voice assistant answering weather queries, including yes/no branches. Share digitally or on paper for peer feedback.

35 min·Individual

Real-World Connections

• The BBC uses AI-powered recommendation engines to suggest news articles and programs to users based on their past viewing habits, helping them discover relevant content.
• Amazon employs AI in its warehouse operations, using robots to sort and move packages efficiently, and in its online store to personalize product suggestions for shoppers.
• Voice assistants like Siri or Alexa use AI to understand spoken commands, process requests, and provide information or control smart home devices.

Assessment Ideas

Exit Ticket

Provide students with a card asking them to list two everyday examples of AI and explain in one sentence for each how AI is used. Then, ask them to write one sentence comparing an AI strength to a human strength.

Discussion Prompt

Pose the question: 'If an AI could drive a car perfectly, would you feel safe riding in it? Why or why not?' Facilitate a class discussion, encouraging students to use their understanding of AI capabilities and limitations.

Quick Check

Ask students to hold up fingers to represent their agreement with statements like: 'AI can make mistakes.' or 'AI is always better than humans at tasks.' Follow up with a brief explanation request for any surprising answers.

Frequently Asked Questions

How do you explain AI to Year 6 students?

Start with familiar examples like phone voice assistants or Netflix suggestions, then define AI as computers learning from data to make decisions. Use visuals of data flow: input, process, output. Relate to key questions by comparing AI speed to human creativity, keeping explanations concrete and tied to daily life for quick grasp.

What active learning strategies work best for AI introduction?

Incorporate think-pair-share for examples, group challenges comparing human-AI tasks, and flowchart building for decision logic. These methods make abstract AI tangible: pupils experiment, debate, and predict impacts collaboratively. Such approaches spark curiosity, address misconceptions on the spot, and align with digital literacy goals, with 80% higher retention from hands-on trials.

How does this topic link to the UK National Curriculum?

It supports KS2 Computing digital literacy by selecting, using, and evaluating tech critically. Pupils explain AI applications, compare intelligences, and predict societal changes, fostering responsible use. Ties to design technology via ethical predictions, building cross-curricular skills like systems thinking for future-proof learning.

What future predictions should Year 6 students consider?

Guide discussions on AI in healthcare for faster diagnoses, transport for safer autonomous vehicles, and education for personalised tutoring. Balance positives like efficiency with concerns over jobs or privacy. Use class debates to explore evidence, encouraging pupils to base predictions on current trends and ethical impacts.