Unit 8: Final Projects

Lesson 2: Capstone Development (1 hour)

Lesson content from Unit 8: Final Projects

Lesson 2: Capstone Development (1 hour)

Learning Objectives

  • Continue developing capstone project
  • Apply AI concepts effectively
  • Integrate multiple course concepts
  • Document development process
  • Troubleshoot and iterate

Materials Needed

  • Projects in development
  • Internet-connected devices
  • AI tools and resources
  • Documentation templates
  • Student notebooks

Time Breakdown

  • Progress check and planning (10 min)
  • Focused development time (45 min)
  • Progress sharing and feedback (5 min)

Activities

1. Progress Check and Planning (10 min)

Quick Status Check:

  • What progress have you made?
  • What are you working on today?
  • Any blockers or challenges?
  • What help do you need?

Today's Goals:

  • Set specific goals for this session
  • Break down into tasks
  • Prioritize work
  • Make progress

Support Available:

  • Teacher circulating and helping
  • Peer collaboration
  • Resources and tools
  • Online tutorials

2. Focused Development Time (45 min)

Development Activities:

Students work on their projects. Activities may include:

For Build Projects:

  • Collecting/gathering data
  • Training models
  • Building interfaces
  • Integrating components
  • Testing functionality
  • Iterating and improving

For Analysis Projects:

  • Researching AI systems
  • Analyzing how they work
  • Evaluating ethics and bias
  • Documenting findings
  • Developing recommendations

For Research/Proposal Projects:

  • Conducting research
  • Designing solutions
  • Creating designs/diagrams
  • Developing proposals
  • Considering implementation

For Educational Projects:

  • Creating content
  • Developing materials
  • Building resources
  • Testing with users
  • Refining and improving

Documentation:

  • Document everything you're doing
  • Note decisions and reasoning
  • Record challenges and solutions
  • Track progress
  • Reflect on learning

Key Focus Areas:

1. Integration of Concepts:

  • Make sure you're using multiple course concepts
  • Show understanding of:
    • How AI works (ML, neural networks)
    • Different AI applications
    • Ethics and bias
    • Current trends

2. Problem-Solving:

  • Address real problems
  • Show creative thinking
  • Demonstrate technical skills
  • Apply knowledge effectively

3. Ethics:

  • Consider ethical implications
  • Address bias concerns
  • Think about privacy
  • Reflect on responsible use

4. Quality:

  • Ensure project works (if applicable)
  • Test thoroughly
  • Refine and improve
  • Make it presentable

Teacher Support:

  • Circulate and help
  • Provide guidance
  • Troubleshoot issues
  • Encourage progress
  • Answer questions

Peer Support:

  • Help each other
  • Share ideas
  • Troubleshoot together
  • Provide feedback
  • Celebrate progress

3. Progress Sharing and Feedback (5 min)

Quick Check-In:

  • What progress did you make?
  • What challenges did you face?
  • What did you learn?
  • What's next?

Peer Sharing:

  • Share progress briefly
  • Get quick feedback
  • Help troubleshoot
  • Encourage each other

Next Steps:

  • Continue development next class
  • Address any issues
  • Make steady progress
  • Stay on timeline

Preview: Next lesson - Continue development and testing

Differentiation Strategies

  • Younger students: More structured guidance, simpler tasks, more support, step-by-step help
  • Older students: More autonomy, complex tasks, independent problem-solving, deeper work
  • Struggling learners: Pair with partner, provide templates, more direct help, break down tasks
  • Advanced learners: Encourage innovation, advanced features, help others, explore deeply

Assessment

  • Progress on development
  • Quality of work
  • Integration of concepts
  • Problem-solving approach
  • Documentation quality