Grades 3-5 Elementary Afterschool Mini AI Summer Camp
5-day mini AI summer camp (Grades 3–5; approx. ages 8–10) at an afterschool center in Diamond Bar, Southern California. The camp combined short educator-led AI concept lessons with hands-on Scratch projects (programming, data collection, pattern-based behavior, game creation, and introductory reinforcement learning concepts).
Implementation
Afterschool center
Learning context
Afterschool center
AI role
Conceptual AI model
Outcome signal
High attendance and sustained participation
Registry Facets
- Grades 3–5 (approx. ages 8–10)
- Diamond Bar, Southern California, USA (suburban)
- Afterschool center
- AI concept instructional slides (educator-led)
- Scratch programming environment
- Mini AI Summer Camp
Implementing Organization
Afterschool center
Diamond Bar, Southern California, USA (suburban)
Undergraduate and graduate CS students; technical educators
Learning Context
- Afterschool center
Mini AI Summer Camp
5 days
~10 students
Individual device
- No individual logins allowed
- No personal data collection
- Time-limited setup and teardown
- Poor Wi-Fi signal
Learner Profile
Grades 3–5 (approx. ages 8–10)
No prior experience with generative AI tools assumed
No prior programming background assumed
Educational Intent
- Build foundational understanding of what AI is and what AI is not
- Introduce how AI learns and creates using age-appropriate metaphors
- Develop basic computational thinking through Scratch programming
- Encourage creative expression through game and character design
- Understand data collection and patterns as inputs to AI systems
- Explore human decision-making vs AI behavior
- Practice iteration, testing, and refinement
- Build confidence in presenting and explaining technical ideas
- Not a formal AI theory course
- Not advanced machine learning instruction
- Not focused on standardized performance metrics
AI Tool Description
- AI concept instructional slides (educator-led)
- Scratch programming environment
- AI concept slides: What is AI / AI or Not AI; Natural vs Artificial intelligence; How AI learns; How AI creates
- Scratch projects: basic programming, data collection, game creation, AI character generation, pattern generation, and introductory reinforcement learning concepts
- Conceptual AI model
- Creative system
English
- No personal data collection
- No student accounts created
Activity Design
5-day mini AI summer camp combining short concept lessons with hands-on Scratch projects
- Introduction to AI concepts
- Demonstration of Scratch examples
- Student project development
- Iteration and refinement
- Daily reflection and discussion
- Final mini showcase of student Scratch projects
- Human: Designing logic, collecting data, creative decision-making
- AI: Simulated pattern-based behavior and responses
- Step-by-step templates
- Visual demos
- Peer support
- Educator guidance
Observed Challenges
- Variation in prior Scratch experience
- Limited time for deeper project extension
- Technical constraints due to weak Wi-Fi
- Debugging challenges for younger students
Design Adaptations
- Simplified project scope
- Increased visual demonstrations
- Flexible pacing
- Emphasis on creativity over correctness
Reported Outcomes
High attendance and sustained participation
- Correct identification of AI vs non-AI examples
- Ability to explain how data affected behavior
- Understanding of patterns and feedback loops
- Increased confidence during project demos
Ethical & Privacy Considerations
- No personal data collected
- No student names recorded
- No online accounts created
Evidence Type
- Practitioner observation
- Activity documentation
- Student project demonstrations
Relevance to Research
Informal AI learning; Early AI literacy; Project-based learning
Learning sciences; Computer science education; AI literacy
Case Status
- Completed
AAB Classification Tags
Elementary
Afterschool center
Conceptual AI, Pattern-based behavior
Project-based learning
Low
None