Unit 6: Hands-On Projects

Lesson 5: Project Presentations (1 hour)

Lesson content from Unit 6: Hands-On Projects

Lesson 5: Project Presentations (1 hour)

Learning Objectives

  • Present AI projects effectively
  • Demonstrate understanding of AI concepts
  • Provide constructive feedback to peers
  • Reflect on learning and growth

Materials Needed

  • Completed projects
  • Presentation equipment
  • Feedback forms
  • Student notebooks
  • Celebration materials (optional)

Time Breakdown

  • Presentation setup and introduction (5 min)
  • Student presentations (45 min)
  • Reflection and wrap-up (10 min)

Activities

1. Presentation Setup and Introduction (5 min)

Setup:

  • Ensure technology works
  • Arrange presentation space
  • Prepare feedback forms
  • Set positive, supportive tone

Introduction:

  • Welcome and excitement
  • Thank students for their hard work
  • Remind: This is about sharing and learning
  • Guidelines:
    • Be respectful audience
    • Ask thoughtful questions
    • Provide constructive feedback
    • Celebrate each other's work

Presentation Order:

  • Random or volunteer order
  • Keep track of time
  • Allow time for questions

2. Student Presentations (45 min)

Presentation Format:

  • Each student presents (3-5 minutes)
  • Brief Q&A after each (1-2 minutes)
  • Move efficiently but don't rush

During Presentations:

  • Teacher and peers take notes
  • Note: Strengths, interesting aspects, questions
  • Prepare feedback

After Each Presentation:

  • Brief Q&A
  • Quick positive feedback
  • Move to next presentation

Encouragement:

  • Celebrate each presentation
  • Acknowledge effort
  • Highlight interesting aspects
  • Build confidence

Time Management:

  • Keep presentations on time
  • Ensure all students present
  • Leave time for wrap-up

3. Reflection and Wrap-Up (10 min)

Group Reflection:

  • What did we learn?
  • What surprised you?
  • What was challenging?
  • What was fun?

Individual Reflection:

  • Students write reflection:
    • What did you learn?
    • What are you proud of?
    • What would you do differently?
    • How will you use this learning?

Celebration:

  • Acknowledge all the hard work
  • Celebrate creativity and innovation
  • Highlight growth and learning
  • Share appreciation

Feedback:

  • Provide written feedback on projects
  • Highlight strengths
  • Suggest improvements
  • Recognize effort

Next Steps:

  • Projects can be continued/improved
  • Portfolio pieces
  • Share with others
  • Keep learning!

Preview Unit 7: Current Trends and Future - We'll explore cutting-edge AI developments and look toward the future!

Unit 6 Assessment Rubric

Project Assessment

Overall Project Rubric:

Criteria Excellent (4) Good (3) Satisfactory (2) Needs Improvement (1)
Problem Definition Clear, meaningful problem Clear problem Basic problem definition Unclear problem
AI Application Creative, effective use of AI Good use of AI Basic AI application Limited AI use
Implementation Well-executed, functional Functional with minor issues Works but has issues Doesn't work or major issues
Testing & Iteration Thorough testing, clear iteration Good testing and iteration Basic testing Limited testing
Documentation Complete, clear documentation Good documentation Basic documentation Incomplete documentation
Presentation Clear, engaging, well-prepared Clear and well-prepared Adequate presentation Unclear or unprepared
Reflection Thoughtful reflection on process Good reflection Basic reflection Limited reflection
Ethics Thoughtful consideration of ethics Good consideration Basic consideration Limited consideration

Individual Components

Project Proposal (10%):

  • Clarity of problem and solution
  • Feasibility
  • Planning quality

Development Process (30%):

  • Progress and effort
  • Problem-solving
  • Tool usage
  • Documentation

Final Project (30%):

  • Functionality
  • AI application quality
  • Completeness

Presentation (20%):

  • Clarity and organization
  • Demonstration of understanding
  • Engagement

Reflection (10%):

  • Depth of reflection
  • Learning demonstrated
  • Growth mindset

Unit 6 Resources

Required Tools

  • Internet-connected devices
  • Access to AI tools:
    • Teachable Machine
    • AI APIs (as needed)
    • No-code platforms
    • Other tools as needed

Recommended Resources

  • Project ideas and examples
  • Tool tutorials
  • Troubleshooting guides
  • Presentation templates

Teacher Notes

  • Projects will vary widely - embrace diversity
  • Focus on learning process, not perfection
  • Provide support but encourage independence
  • Celebrate creativity and effort
  • Be flexible with timelines if needed
  • Help students find appropriate tools
  • Guide ethical considerations

Unit 6 Extension Activities (Optional)

For Advanced Students

  • More complex projects
  • Integration of multiple AI tools
  • Advanced features
  • Deeper technical implementation
  • Help mentor other students

For Students Needing More Support

  • Simpler project options
  • More structured guidance
  • Pair programming/development
  • Step-by-step tutorials
  • Celebrate incremental progress

Next Unit Preview

Unit 7: Current Trends and Future will explore the latest AI developments including large language models, generative AI, and emerging applications. We'll also look at future possibilities and career opportunities in AI!