Investing in AI Education
Woz ED's Commitment
Woz ED is a proud supporter of the Pledge to America’s Youth, Investing in AI Education. These resources serve as part of our commitment to provide curriculum materials that foster early interest in AI technology and promote AI literacy and proficiency.
Woz ED programs incorporate artificial intelligence (AI) learning in K-12 classroom, microschools, pods, and home school environments to accelerate the path to employment for students who choose AI as a career. The knowledge gained through hands-on activities enhances safety for all students, regardless of their future career choices. Students start with an introduction to artificial intelligence in Level I and by Level IV are investigating the bridge between data and human interaction.
We are currently sharing sample resources from Level II and Level IV.
Explore Our Artificial Intelligence Curriculum Activities
| AI Level | Activity Title | Core Concept | Download |
|---|---|---|---|
| Level II | Thinking About Thinking | Understanding Human Intelligence. Students analyze their thought process and recognize numerous approaches to solving the same problem. | Get PDF |
| Level IV | Pattern Recognition and Machine Learning | Data and Human Interaction. Students examine sample data and learn to train AI systems to recognize patterns and build decision models. | Get PDF |
Activity Deep Dives
Level II - Thinking About Thinking
This 90-minute module focuses on understanding human intelligence and the AI definition of a device that perceives its environment and takes actions to successfully achieve its goal.
Student Focus:
- ✓ Discover non-obvious insights.
- ✓ Create an original work within constraints.
- ✓ Practice thinking critically about what they see.
Level IV - Pattern Recognition and Machine Learning
This 60-minute module focuses on how AI technology is largely based on a machine's ability to study data and make autonomous decisions. Students will examine decision tree and decision forest learning methods.
Student Focus:
- ✓ Identify basic models of AI learning methodology.
- ✓ Build their own decision tree or decision forest to find results within a dataset.
- ✓ Examine how AI learns to see patterns in data.
📈 Efficacy and Research
For more information about the efficacy of this hands-on approach, demonstrating persistence, resilience, and understanding of STEM concepts, visit our data and research page:
View PEAR DataWoz ED supports the broader national initiative: White House Initiative on Educational Equity and Excellence in AI
