Course

ReadyAI Lab Kit – Beginner Course

The ReadyAI Lab Kit includes all teaching resources, materials, and lesson plans you will need to start your own AI after-school program. In the Beginner Course, students will learn six AI applications and create a project using Calypso.

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7 Lessons

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About this kit

The ReadyAI Lab Kit includes all teaching resources, materials, and lesson plans you will need to start your own AI after-school program. In the Beginner Course, students will learn six AI applications and create a project using Calypso.

  • Target Audience: After-school Educators​
  • Recommended Time: 6 Hours
  • Recommended Grades: K-8
  • Number of Lessons: 4

Course Objectives

Students should be able to

  1. Define basic concepts in the field of AI;
  2. Describe functions of AI as well as current limitations
  3. Apply principles of coding to demonstrate understanding of AI concepts
  4. Evaluate applications of AI technologies.
  5. Create a project that uses AI to solve real-world problems.

Lessons and Lesson Objectives

Lessons Lesson Objectives (Students will be able to)
1
Introduction to AI
  • Differentiate AI from robots in general.
  • Summarize the steps necessary to set up their AI-IN-A-BOX™.
  • Facilitate the setting up of their own AI-IN-A-BOX™ independently from the teacher.
2
Object & Facial Recognition
  • Describe what AI’s object recognition is.
  • Demonstrate their ability to program AI object recognition.
  • Express applications for the features of Cozmo they experienced.
  • Program his/her AI units to recognize faces.
3
Object manipulation
  • Explain how landmark-based navigation works and where it is applied in our lives.
  • Read and write multiple lines of rules that involve landmark-based navigation.
  • List what their AI unit can do with objects it can manipulate.
4
Interacting with the World
  • Identify recognition functions within his/her AI units.
  • Program their AI units to recognize oral commands.
  • Program their AI units to produce speech outputs.
  • Create a scenario in which Cozmo employs speech recognition, speech generation, facial recognition, object recognition, object manipulation, and landmark-based navigation.
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