After students watch the video and before practicing, come together for a whole-class discussion. Use student answers to the questions provided as the basis for discussion. 

Exploring the difference between the way a robot or computer sees the world, and the way humans see the world helps students to develop fundamental understandings about how AI works.  Humans get information about their environments through their five senses, whereas robots must use sensor feedback to do so. It is important to return students' attention to this exploration throughout this lesson and beyond so they can fully understand this key concept in AI.

Additionally, the term “field of view” is used to describe the area in which the AI Vision Sensor can perceive objects. Introduce and reinforce this term in conversation throughout this lesson.

Remind students of their established group work expectations before beginning.

Distribute the Step 2 task card (Google / .docx / .pdf) to each student. Remind students that the goal of driving is to ensure everyone in the group develops a shared mental model of how the robot should move to complete the task successfully. Encourage students to be mindful of how they document their driving, as they will use their practice as documentation to build their code.

As students are driving, circulate around the room and check in with students about their learning. Ask questions like: 

• When you drive using the AI Vision Sensor, what do you notice about how the robot moves to pick up each barrel?
• Have you observed anything unexpected while driving? If so, how might that observation affect your coding decisions?
• If your group is disagreeing about what to document, or what path to try first when coding, how are you resolving that?

Distribute the Step 3 task card (Google / .docx / .pdf) to each student after they have met the success criteria for driving, and shared their planned path with you. Students will then use their plan to build their initial VEXcode projects. Remind them to build and test their projects incrementally.

As students are coding the robot, circulate around the room and check in with students to discuss their progress and learning. Ask questions like:

• Are you using the AI Vision Dashboard to help you code? If so, how?
• How is coding this project different from driving? How is it similar?
• What ideas that you developed by driving have you applied to your coding project? Did they work as expected? Why or why not?

Once students have an initial coding project that completes the task, they should move on to Step 4 and begin iterating. 

• What if you needed to adjust your robot’s speed or precision for this project? What strategies could help?
• What are you noticing about how robots perceive their environments? Does driving give you different insights than coding? 
• How are you making collaborative decisions about what parts of your project to change? How are you agreeing on what change to make?

Guide students to share their learning in a whole-class discussion. Help students reflect on their learning through practice to converge on shared understandings or learning targets. 

Use the questions students answered in their journals as the starting point for the discussion. Ask follow up questions to guide student understanding: 

• On the AI Vision Sensor:
  • What does the Dashboard tell you about the AI Vision Sensor? What does it not tell you? What other information would you like to have about the objects the AI Vision Sensor detects?
  • How does the way the AI Vision Sensor perceives the world differ from the way your eyes see the world? 
  • Do you think your eyes are more or less powerful than the AI Vision Sensor? Why?
• On coding with macro blocks:
  • What are all the behaviors that the robot completes in the course of executing a Move to object block, or any macro block?
  • What data from the sensor do you think is being used in the macro block? 
• On collaboration:
  • How has your ability to solve problems collaboratively improved? 
  • What would you like to do better?
  • What steps could you take towards that goal?

Return to the shared document you created during Lesson 1 that lists questions students have about the AI Vision Sensor. Update it with students' answers based on the new information they have learned during this lesson. Record any new questions that have arisen.