AI Pathways
A structured approach to introducing Artificial Intelligence and data science in high school computer science programs
Preparing students for an AI-driven world requires more than tools
Traditional computer science education has often focused on learning how to code specific languages or tools. Today, as AI and data-driven technologies shape nearly every field, the focus is shifting toward helping students understand how data, algorithms, and automated systems work together. This pathway supports educators in guiding students from foundational computer science concepts into critical thinking about AI, data, and real-world impact — without requiring advanced technical expertise.
What AI Pathways provides
- Cohesive AI and Data Science learning progression
- Emphasis on data literacy, ethics, and real-world application
- Balance of conceptual understanding and technical implementation
- Alignment with Virginia Data Science SOL and CSTA standards
How students learn through AI Pathways
- Data science cycle as the organizing framework
- Unplugged-to-plugged learning progression
- Ongoing focus on ethical and societal implications of AI
Who AI Pathways is designed for
Schools are making the most of the newest technology - and students are leading the way.
Educators a preparing their students for study in advanced fields and the highest paying careers.
Student brilliance can shine when they are given the opportunity to show their capabilities.
AI Pathways Enables:
- Clear progression from foundational CS to AI/ML concepts
- Strong student data literacy and ethical reasoning
- Preparation for advanced coursework and emerging career pathways
How districts engage with AI Pathways
Step 1
Initial conversation to understand district goals and readiness
Step 2
Align on scope, timeline, and implementation approach
Step 3
Ongoing collaboration and refinement
Interested in bringing A.I. Pathways to your district?
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