AI and RoboticsActivities & Teaching Strategies
Active learning builds lasting understanding of AI and robotics because these concepts feel abstract until students interact with them. Hands-on activities make invisible technologies visible, turning confusion into clarity and curiosity into confidence.
Learning Objectives
- 1Identify specific tasks robots can perform to assist humans in daily life, such as cleaning or medical assistance.
- 2Compare and contrast the capabilities of current AI voice assistants with hypothetical future AI systems.
- 3Analyze potential societal impacts of AI and robotics, including changes to employment and learning.
- 4Evaluate ethical considerations related to AI development, such as data privacy and algorithmic bias.
Want a complete lesson plan with these objectives? Generate a Mission →
Small Groups: Robot Design Challenge
Groups brainstorm a robot to solve a school problem, like cleaning litter or helping in the library. They sketch the design, list sensors and actions needed, and present to the class with pros and cons. End with a vote on the most practical idea.
Prepare & details
Explain how robots can help people in everyday life.
Facilitation Tip: During Robot Design Challenge, circulate with the simple robot kits to ask guiding questions like, 'What sensors could help your robot avoid obstacles?'
Setup: Small tables (4-5 seats each) spread around the room
Materials: Large paper "tablecloths" with questions, Markers (different colors per round), Table host instruction card
Pairs: AI Prediction Debate
Pairs predict one change AI brings to learning or work, then debate positive and negative effects using evidence cards provided. Switch roles midway. Conclude with class agreement on balanced views.
Prepare & details
Predict how artificial intelligence might change the way we learn or work.
Facilitation Tip: In AI Prediction Debate, assign roles clearly so each pair contributes equally, preventing one student from dominating the discussion.
Setup: Small tables (4-5 seats each) spread around the room
Materials: Large paper "tablecloths" with questions, Markers (different colors per round), Table host instruction card
Whole Class: Ethical Dilemma Role-Play
Present scenarios like an AI hiring tool with bias. Assign roles such as developer, worker, and citizen. Groups discuss and vote on solutions, sharing reasoning with the class.
Prepare & details
Evaluate the ethical considerations of developing advanced AI and robotics.
Facilitation Tip: For Ethical Dilemma Role-Play, provide scenario cards with clear but open-ended prompts to spark deeper reasoning beyond initial reactions.
Setup: Small tables (4-5 seats each) spread around the room
Materials: Large paper "tablecloths" with questions, Markers (different colors per round), Table host instruction card
Individual: Everyday Robot Hunt
Students list and photograph three robots or AI tools at home or school, noting their functions. Compile into a class digital wall for discussion on common patterns.
Prepare & details
Explain how robots can help people in everyday life.
Setup: Small tables (4-5 seats each) spread around the room
Materials: Large paper "tablecloths" with questions, Markers (different colors per round), Table host instruction card
Teaching This Topic
Teach AI and robotics with a balance of wonder and skepticism. Start with relatable examples before abstract concepts, and use guided questioning to push students beyond initial assumptions. Research shows students grasp complex systems better when they first experience simple versions before scaling up to real-world complexity.
What to Expect
Students will demonstrate understanding by explaining real-world uses of robots and AI, identifying ethical concerns, and evaluating future impacts with specific examples. Success shows when they connect technical functions to human benefits and responsibilities.
These activities are a starting point. A full mission is the experience.
- Complete facilitation script with teacher dialogue
- Printable student materials, ready for class
- Differentiation strategies for every learner
Watch Out for These Misconceptions
Common MisconceptionDuring Robot Design Challenge, watch for students attributing emotions to their robots, such as saying, 'My robot is happy.'
What to Teach Instead
Pause the activity and ask, 'How does your robot know to move forward? What sensor or command triggers that action?' to redirect focus to programmed instructions.
Common MisconceptionDuring AI Prediction Debate, watch for students claiming AI will replace all jobs without considering new roles.
What to Teach Instead
Prompt pairs to list three jobs AI might create, then share examples with the class to shift perspectives from replacement to transformation.
Common MisconceptionDuring Ethical Dilemma Role-Play, watch for students assuming AI decisions are always fair because they are made by machines.
What to Teach Instead
After role-playing, ask groups to identify where bias might enter the AI system, using the scenario cards to guide their reasoning.
Assessment Ideas
After Robot Design Challenge, ask students to write one example of a robot helping people and one way AI might change how they learn in the future. Collect these as they leave the lesson.
During Ethical Dilemma Role-Play, facilitate a class discussion where students evaluate whether an AI system should be used to grade homework, guiding them to consider both benefits and drawbacks.
After AI Prediction Debate, present students with a short scenario, for example, 'An AI system recommends movies based on past choices.' Ask students to identify one potential ethical problem with this scenario. Check responses for understanding of bias or fairness.
Extensions & Scaffolding
- Challenge students to program their robot to complete a maze with three different obstacles.
- Scaffolding for the Robot Design Challenge: Provide pre-built base models with labeled parts to reduce frustration.
- Deeper exploration: Research and present on an emerging robotics or AI application not covered in class, such as agricultural drones or medical nanobots.
Key Vocabulary
| Robot | A machine capable of carrying out a complex series of actions automatically, often programmable by a computer. |
| Artificial Intelligence (AI) | The simulation of human intelligence processes by machines, especially computer systems, including learning, problem-solving, and decision-making. |
| Algorithm | A set of rules or instructions followed by a computer to solve a problem or perform a task. |
| Automation | The use of technology to perform tasks with minimal human intervention. |
Suggested Methodologies
More in Digital Creativity and Citizenship
Organising Data in Tables
Learning to organise information into tables using rows and columns, and grouping data into categories.
2 methodologies
Searching Tables
Using simple search and filter functions to find specific information within organised data.
2 methodologies
Vector Graphics: Paths and Nodes
Learning how to manipulate the individual points that define the shape of a vector.
2 methodologies
Designing Vector Logos
Applying vector graphic skills to design simple, scalable logos and icons.
2 methodologies
Your Digital Footprint
Understanding that every action online leaves a permanent trail that can be seen by others.
2 methodologies