Equity-Centered AI Learning: K-12 Curriculum for All Learners

Stanford CREATE AI Challenge - Track 2: Augment Learning

Funding Request: $50,000 Implementation Partner: El Segundo Unified School District Project Duration: 12 months

---

Executive Summary

The El Segundo AI Academy proposes an Equity-Centered K-12 AI Curriculum designed to ensure all students, regardless of gender, disability, or socioeconomic status, can develop AI literacy and workforce-ready skills. This proposal directly addresses Track 2's focus on "AI learning tools that foster participation, especially for learners with disabilities."

The Challenge

Current AI education perpetuates existing inequities:

• Women are 16% less likely to use AI tools than men
• Only 22% of the AI workforce is female
• Students with disabilities face significant barriers to AI tool access
• Inconsistent K-12 AI curriculum leaves most students unprepared

Our Solution

We have developed a comprehensive K-12 AI curriculum framework with embedded equity mechanisms:

Grade Band	Focus Area	Equity Feature
K-2	AI Awareness	Universal design, multiple modalities
3-5	AI Literacy Basics	Bias awareness integrated from the start
6-8	AI Tool Proficiency & Ethics	Girls-only AI Studio Teams option
9-12	AI-Augmented Disciplinary Work	Accessible portfolio platforms

Innovation Highlights

1. "50/50 by Design" Principle - Gender parity required in all programming
2. Safe Space First Pattern - Girls-only teams show 5x higher retention (esports research)
3. Universal Accessibility - Device lending, school-day programming, multi-modal instruction
4. Stereotype Threat Mitigation - Research-based interventions embedded throughout

Measurable Outcomes

By project end, we will achieve:

• 50% female participation in AI programming (vs. 22% industry baseline)
• 100% accessibility compliance across all learning materials
• 90%+ engagement scores from underrepresented learners
• 3x increase in girls expressing AI career interest

Stanford Alignment

This proposal directly addresses Stanford CREATE AI Challenge evaluation criteria: Innovation (novel equity mechanisms), Fairness & Inclusion (core design principle), Learning Sciences (research-based interventions), and Feasibility (partnership with active school district).

---

Proposal Contents:

1. Problem Statement - The AI education equity gap
2. Solution - Equity-Centered K-12 AI Curriculum
3. Learning Science Foundation - Research base
4. Measurable Outcomes - Success metrics
5. Equity & Accessibility - Detailed inclusion approach
6. Implementation Timeline - 12-month plan
7. Team - Project leadership
8. Budget - $50,000 allocation