Post-Project Reflection
Objective:
Reflect on what you learned from the projects and think about how you can apply this knowledge to new ideas.
Materials Recap
- Computers or Tablets:
Ensure each participant has access to a device for the projects. - Internet Access:
Required for platforms like Scratch, AI Playground, and Teachable Machine. - Drawing Materials:
Have drawing materials on hand for brainstorming future AI ideas or additional creative activities.
Discussion Points:
1. What Did You Create?
Take a moment to describe your project.
Explain what you taught the AI and how you think it worked.
Share your achievements with the group and articulate your understanding of the project.
2. Challenges and Solutions
Think about any challenges you faced during the project.
Did you have difficulty in training the AI or getting accurate results?
Discuss how you overcame these challenges and what solutions you found.
Reflect on the problem-solving skills you used and how they helped you succeed.
3. AI in the Real World
Relate your mini-project to real-world AI applications.
Think about how AI in smartphones learns from user behavior, like recognizing faces in photos.
Consider how voice assistants improve by understanding more voices over time.
Connect what you learned to how AI is used in everyday life.
Activity: AI Showcase
Goal:
Present your AI projects to the group and share your learning experiences.
How It Works:
Presentation:
Present your AI project to the class.
Explain how it works and what you taught the AI.
Share your process and outcomes with everyone.
Feedback:
Give and receive positive feedback.
Ask questions like, “How did your AI learn that?” or “What would you add if you had more time?”
Stimulate further thinking and discussion by being curious about each other’s projects.