STRIVE is not a single course or elective — it is designed to be woven across existing subjects and grade levels, making AI literacy a throughline of the entire educational experience.
Each domain represents a critical dimension of AI literacy, scaffolded from kindergarten through 12th grade.
How AI systems work, types of AI, and the role of data. Students progress from recognizing patterns in kindergarten to analyzing neural networks and machine learning models in high school. This domain builds foundational technical literacy that allows students to engage with AI as informed users, not passive consumers.
Discerning AI outputs, detecting bias, and developing media literacy. Students learn to question, not just consume. From identifying when a computer is helping vs. deciding for them (elementary) to conducting systematic bias audits of AI systems (high school), this domain develops the critical lens every student needs.
How AI affects people, communities, labor, justice, and the environment. This culturally responsive, human-centered domain ensures students understand AI not just as technology, but as a force that shapes — and is shaped by — society. Students explore real-world impacts on their own communities and learn to center human wellbeing in every AI conversation.
Responsible creation using AI tools. Prompt engineering as a literacy skill. Attribution and academic integrity. Students learn to use AI as a creative partner — not a replacement for thinking — progressing from guided exploration to sophisticated, multi-step creation workflows with full understanding of responsible use.
Ethical reasoning about when and how to use AI. Governance, policy, and values-aligned decision-making. This domain prepares students to be not just AI users but AI decision-makers — capable of setting boundaries, establishing policies, and making principled choices about AI deployment in their schools, workplaces, and communities.
Students as advocates and change agents. Digital equity, representation, voice, and community leadership. The capstone domain transforms students from AI consumers to AI leaders — young people who can advocate for equitable access, challenge biased systems, and ensure that AI serves all communities, not just privileged ones.
Woven through every domain and every lesson, three meta-competencies anchor the entire STRIVE experience and ensure students develop transferable, future-ready skills.
Analyze, question, and evaluate AI systems and their outputs. Students develop the skeptical, evidence-based mindset necessary to navigate an AI-rich world without being manipulated or misled.
Imagine, design, and innovate using AI as a creative partner. Students learn that AI amplifies human creativity — it doesn't replace it — and develop workflows that leverage both human ingenuity and machine capability.
Collaborate, deliberate, and make shared ethical decisions about AI's role in society. This uniquely human competency ensures that AI governance is democratic, inclusive, and values-driven — not left to technologists alone.
STRIVE meets students where they are, with age-appropriate pedagogy and progressively deeper engagement across three developmental bands.
Foundation-building through exploration, play, and guided inquiry. Students build intuition about AI through hands-on, age-appropriate activities.
At this level, students begin to recognize patterns, understand that computers follow instructions, explore how AI helps people in everyday life, and develop early ethical reasoning about fairness and kindness in technology. Learning is experiential, collaborative, and joyful — building the curiosity and comfort that later stages will deepen into expertise.
Deepening understanding through structured investigation and critical analysis. Students engage with real-world AI applications and begin ethical reasoning.
Middle school students explore how AI systems actually work (training data, algorithms, outputs), analyze real-world case studies of AI impact, begin using AI tools with structured guidance, and engage in collaborative ethical deliberation. This is where critical thinking sharpens and students begin to see themselves as active participants in the AI conversation, not just observers.
Advanced application, creation, and advocacy. Students design AI solutions, analyze systems at a sophisticated level, and lead community conversations about AI.
High school students conduct bias audits, build applications using AI assistance, create responsible use policies, and lead community advocacy projects. They graduate not just AI-literate, but AI-ready — prepared for college, career, and civic life in an AI-shaped world. This includes the Vibe Coding & App Building curriculum, where students learn to build real applications with AI from no-code through full-stack development.
LIA2 (Local Interactive Artificial Intelligence Assistant) gives schools access to large language model capabilities without compromising student data. Built by an educator, for educators.
LIA2 can run entirely on local hardware within a school or district network. No student data leaves the building. No internet required for AI functionality. Ideal for districts with strict data governance, FERPA/COPPA concerns, or limited bandwidth.
For districts that need broader access, LIA2 deploys as a web-based platform with strong data sovereignty controls. Accessible from any device with an internet connection. Districts choose the deployment model that fits their needs.
Purpose-built agents for Science (Inquiry Coach), Math (Thinking Coach), Social Studies (Analyst), and ELA (Literacy Coach). Each agent is aligned to state standards and designed to coach thinking — not give answers.
A teacher-facing AI tool that generates STRIVE-aligned, standards-based lesson plans on demand. Teachers describe what they need; the Lesson Architect produces implementation-ready lessons aligned to their standards and STRIVE domains.
Every district is different. Let's talk about how to bring comprehensive AI literacy to your students and educators — on your terms, at your pace.