The Urgency
AI is reshaping island industries.
Hawaiʻi needs a pathway, not a patchwork.
Hawaiʻi is structurally different from every mainland state: the Hawaiʻi State Department of Education is the nation’s only statewide public school district. That creates a rare opportunity. A well-designed AI literacy pathway can move through one statewide system, complex areas, high schools, UH Community College partners, and employer networks without pretending there are fifty independent districts.
AI is already relevant to Hawaiʻi’s core sectors: tourism and hospitality, defense and federal technology, renewable energy, marine science, healthcare, agriculture and aquaculture, conservation, and local tech. The question is not whether students will encounter AI. It is whether they will learn to use it with judgment, kuleana, and respect for ʻāina, community, privacy, culture, and place.
HIDOE now identifies Information Technology & Digital Transformation as a CTE pathway and lists Artificial Intelligence as a program of study. This pathway is designed to fit that opening: a practical sequence schools can pilot, localize, and strengthen through Hawaiʻi’s statewide CTE, Perkins V, dual-credit, and work-based learning structures.
- Built for a single statewide HIDOE system — state, complex-area, and school coordination rather than district-by-district reinvention
- Fits HIDOE’s current Information Technology & Digital Transformation pathway, where Artificial Intelligence is listed as a program of study
- Connects AI to real island workforce contexts: tourism, defense, energy, ocean science, healthcare, local technology, and ʻāina-based stewardship
- Aligns to Hawaiʻi’s K-12 Computer Science standards, CTE Industry Pathway and Program Standards, Common Core, NGSS, and HCPS III where appropriate
- Uses browser-based tools so schools can begin without a specialized AI lab or expensive hardware buildout
The Core Framework
Four skills that outlast every tool update
Schools that teach students about AI give them a semester of relevance. This pathway teaches four capabilities that stay valuable regardless of which tools come next — starting from Day 1, in every course.
Not just using one chatbot — understanding how AI systems work and combining multiple tools to accomplish complex goals. Students practice prompt design, output evaluation, data awareness, and multi-tool workflows in ways that make sense for Hawaiʻi classrooms and workplaces.
Creativity, emotional intelligence, ethical judgment, leadership, and cultural humility. These aren’t “soft skills” — they are durable human advantages. Every course asks students to consider community impact, consent, bias, privacy, and kuleana.
Facts change. Tools evolve. Students practice metalearning throughout the pathway: entering unfamiliar domains, identifying what matters, evaluating sources, reflecting on their own understanding, and adapting as technologies and island needs shift.
Every course involves making things that did not exist before: bias audits, community prototypes, data stories, creative works, AI safety guides, and capstones connected to Hawaiʻi challenges. The future belongs to builders who understand the places they serve.
Differentiation
Why this pathway instead of a generic AI curriculum
National vendors offer semester-long AI survey courses — useful introductions, but they stop at awareness. Hawaiʻi needs an adoption model that respects statewide governance, HIDOE CTE structures, UH dual-credit possibilities, local employers, and Native Hawaiian perspectives on technology, ʻāina, and kuleana.
- Teaches students about AI — awareness without sustained practice
- No progression from literacy to orchestration to professional practice
- Minimal work-based learning, no island-specific employer map
- Geography-agnostic — same content in Hawaiʻi and Ohio
- Often disconnected from statewide CTE planning and Perkins V local needs assessment work
- No clear relationship to UH Early College, community colleges, or local pathways
- May ignore the cultural responsibilities of teaching AI in a place where land, data, language, and knowledge carry history
- 3-course sequence built around AI orchestration, not just awareness
- Human judgment, creativity, ethics, and kuleana embedded in every course
- 80+ hours of work-based learning with Hawaiʻi-relevant employers and community partners
- Grounded in tourism, defense, energy, healthcare, ocean science, agriculture, conservation, and local technology
- Designed for HIDOE’s statewide system, complex-area coordination, and the Information Technology & Digital Transformation pathway
- Built to support UH Community College partnership and dual-credit exploration where feasible
- Includes careful boundaries: no unverified Hawaiʻi credential or accountability claims are overstated
For Decision-Makers
Why Hawaiʻi leaders can say yes to this model
If the four pillars make the educational case, this section makes the operational one: funding fit, staffing, compliance, statewide coordination, and visibility.
Designed for Perkins V planning conversations through Hawaiʻi’s State CTE Office structure. Hawaiʻi P-20 serves as the administrative arm of the State Board for CTE, and Perkins local funds are allocated to eligible recipients including HIDOE and UH Community Colleges. Funding eligibility still depends on official review, CLNA alignment, approved local applications, and state guidance.
Runs on existing Chromebooks and laptops with browser-based tools. No new AI lab, no specialized GPU hardware, no expensive software stack required. A school can start with a workshop or Course 1 pilot before building the full sequence.
No coding prerequisites. Designed for broad participation across islands, communities, skill levels, and interests — making AI literacy accessible beyond the students who already self-identify as programmers.
Connects AI to Hawaiʻi employers and sectors students recognize: HTA and hospitality, U.S. Indo-Pacific Command, Pearl Harbor-Hickam, PMRF, Hawaiian Electric and clean energy, UH and NOAA ocean science, Queen’s, Hawaiʻi Pacific Health, Kaiser Permanente Hawaiʻi, Oceanit, DataHouse, HTDC, and the Entrepreneurs Sandbox.
Built with privacy, teacher oversight, source evaluation, bias review, and cultural responsibility from the start. Students learn that AI systems are never neutral, and that data, land, language, and community knowledge require care.
Creates outcomes communities can see: student portfolios, public showcases, work-based learning reflections, capstone projects, and potential Microsoft Azure AI Fundamentals preparation — while noting that Hawaiʻi-specific credential recognition for AI-900 has not been verified.
“AI literacy in Hawaiʻi cannot be imported as a generic product. It has to help students build with intelligence, judgment, humility, and kuleana for the people and places their work touches.”ʻĀina, Kuleana, and Intelligence — Design Philosophy
Student Outcomes
What students walk away with
- AI orchestration fluencyThe ability to evaluate, combine, and direct multiple AI tools toward complex goals — not just chat with a bot, but orchestrate systems.
- A professional portfolio of things they builtCurated artifacts from every course: bias audits, data stories, community prototypes, creative works, and a public capstone addressing a real Hawaiʻi challenge.
- Human skills that compoundThree years of practiced ethical reasoning, creative problem-solving, community engagement, and collaborative leadership — the hardest capabilities to automate.
- The ability to learn what does not exist yetMetalearning practice throughout the pathway: approaching unfamiliar domains, evaluating new tools, and adapting as technology changes.
- 80+ hours of real work experience plus credential preparationStructured work-based learning with a Hawaiʻi employer or community partner. Microsoft Azure AI Fundamentals / AI-900 preparation is included as a national target credential; Hawaiʻi-specific accountability or IRC recognition is not claimed unless officially confirmed.
Lowest-Risk Entry Point
Start with a summer workshop
Not ready to launch a full pathway? Start with the 5-day summer workshop. It introduces the same four pillars in compressed form: students learn how AI works, practice judgment and creativity, adapt quickly across unfamiliar tools, and build public-facing work — all in one week. It gives schools and complex areas a visible, community-friendly way to test demand, recruit students, and demonstrate what AI education can look like in Hawaiʻi.
Demystify AI through hands-on stations. Map where AI appears in school, travel, health, language, media, and daily life across the islands.
Train classifiers, test image and language systems, and build a bias audit. Discuss data quality, representation, privacy, and who gets harmed when models fail.
Visual storytelling, audio, writing, design, and critique. Students make creative work while learning provenance, consent, cultural respect, and human authorship.
Case studies: sustainable tourism, renewable energy, marine science, healthcare access, agriculture, aquaculture, and conservation. Launch culminating projects.
Finalize “AI for Good in Hawaiʻi” projects. Public showcase for families, educators, UH partners, employers, and community members.
- Low-risk pilot before full pathway implementation
- Student recruitment tool for the 3-course sequence
- Family and community engagement moment
- Early proof point for state, complex-area, and school leaders
- Professional development opportunity for CTE staff
- Functions as a smart first step, not a side event
The Program of Study
A practical way to launch AI education in Hawaiʻi high schools
This is not a full computer science rebuild. It is a 3-course CTE pathway where the same four pillars deepen over time: Course 1 builds literacy and confidence, Course 2 develops orchestration and ethical judgment, and Course 3 applies all four in real workplaces and public-facing projects. It is designed to align with HIDOE CTE Industry Pathway and Program Standards, the Information Technology & Digital Transformation pathway, Hawaiʻi’s Computer Science standards, and relevant academic standards.
- Unit 1 — Weeks 1–3What Is AI?
AI in daily life, search, recommendation, translation, image generation, and chat systems. Hawaiʻi connection: where AI already touches visitor services, schoolwork, healthcare portals, and public information.
- Unit 2 — Weeks 4–6How AI Sees and Hears
Sensors, computer vision, speech recognition, and classification. Students train image and sound classifiers and discuss representation across Hawaiʻi’s diverse communities.
- Unit 3 — Weeks 7–9How AI Uses Data
Data foundations, decision trees, pattern recognition, and recommendation systems. Hawaiʻi connection: energy demand, ocean observations, visitor flows, and public-health data as examples for careful interpretation.
- Unit 4 — Weeks 10–12How AI Learns
Supervised, unsupervised, and reinforcement learning; generative AI basics; training data and model limits. Students compare model outputs and learn why verification matters.
- Unit 5 — Weeks 13–15AI, Bias & Kuleana
Algorithmic bias, privacy, surveillance, intellectual property, cultural respect, and environmental cost. Students conduct a bias audit and produce a community-facing guidance artifact.
- Unit 6 — Weeks 16–18AI Futures — My Voice, My Community
AI workforce landscape, pathway planning, portfolio assembly, and a public communication project on an island-relevant AI question.
Frameworks: AI4K12 Five Big Ideas, ISTE Standards, UNESCO AI Competency Framework, UbD, UDL, PBL, MIT RAISE
Tools: Google Teachable Machine, ChatGPT Education, Hugging Face Spaces, TensorFlow Playground, Canva, Google Sites
- Unit 1 — Weeks 1–3Power User — Advanced AI Interaction
Prompt engineering, multimodal AI, output evaluation, source checking, and academic integrity. Students compare systems and build transparent workflows.
- Unit 2 — Weeks 4–6Ethics Lab — Frameworks for Hard Questions
Consequentialism, deontology, virtue ethics, care ethics, and FATE frameworks. Hawaiʻi cases include visitor management, healthcare access, defense technology, and language/culture representation.
- Unit 3 — Weeks 7–10AI Across Island Domains
Tourism, renewable energy, astronomy and ocean science, healthcare, agriculture, aquaculture, conservation, education, and public service. Astronomy is discussed respectfully, acknowledging Native Hawaiian perspectives and the history of Maunakea conflict.
- Unit 4 — Weeks 11–15Design Thinking + AI — Community Solutions
5-week PBL: identify a real Hawaiʻi community problem, conduct empathy interviews, design an AI-informed solution, and present to a community panel.
- Unit 5 — Weeks 16–18Portfolio & Professional Readiness
Digital portfolio curation, resume writing, mock interviews, internship preparation, and Microsoft Azure AI Fundamentals / AI-900 preparation.
Additional tools: Perplexity, Runway, NotebookLM, Figma, Miro, Kialo, Google Colab
- Unit 1 — Weeks 1–3Professional Launch
Workplace expectations, professional communication, AI tool policy, privacy, capstone topic exploration, and partner matching.
- Unit 2 — Weeks 4–12Internship Immersion + Capstone Development
Minimum 80 hours on-site, remote, or hybrid with a Hawaiʻi employer or community partner. Weekly classroom seminar for reflection, capstone workshops, and guest speakers.
- Unit 3 — Weeks 13–18Capstone Completion & Public Showcase
Capstone production, peer review, comprehensive portfolio assembly, public presentation to employers, UH partners, families, and community members.
Postsecondary bridge: Explore UH Early College, Running Start, and community college CTE alignment where feasible and appropriate.
Program at a glance
Implementation
What it takes to launch
School leaders need to know whether a new program is realistic. This one is built to be. A Hawaiʻi launch should be coordinated through the right statewide channels: HIDOE CTE leadership, complex-area support, high school CTE staff, UH Community College partners, employer advisors, and community stakeholders.
- 1 CTE instructor with AI literacy professional development
- Existing Chromebooks or laptops — all core tools are browser-based
- Teacher-managed AI tools with documented consent, privacy, and review processes
- State/complex-area coordination — Hawaiʻi is not a local-district procurement and curriculum landscape
- Employer and UH partner map — WBL, guest speakers, early college, and capstone review
Recommended timeline
- Summer 2026Pilot Honolulu summer workshop; teacher PD; partner recruitment
- Fall 2026Launch Course 1 pilot with first cohort
- Spring 2027Refine Course 1; approve Course 2; deepen UH and employer alignment
- Fall 2027Launch Course 3 capstone/internship; first full-pathway cohort
- 2028–29Evaluate, localize by island and complex area, and scale through statewide CTE planning
Funding Fit
How Hawaiʻi schools can think about funding it
This pathway is built to align with the funding and planning structures Hawaiʻi already uses to launch and sustain CTE programs. It does not invent a mainland district model. It respects Hawaiʻi’s statewide HIDOE structure, UH/P-20 Perkins V administration, and Weighted Student Formula context.
- Perkins V planning fit for curriculum, professional development, devices, certification preparation, and WBL coordination when aligned to approved CTE priorities and local needs assessment requirements
- Statewide CTE structure — Hawaiʻi P-20 serves as the State CTE Office administrative arm; HIDOE and UHCC are eligible recipients in the state plan structure
- Weighted Student Formula awareness — WSF allocates school funds based on enrollment and student-need weights; this site does not claim a special CTE weight because no Hawaiʻi CTE weight was verified
- Procurement awareness — HRS Chapter 103D small purchase rules apply; current statute sets goods/services small purchases below $100,000, with an electronic procurement system required for purchases of $50,000 or more (HRS §103D-305, as amended by Act 262, SLH 2025)
HIDOE high schools • UH Community Colleges • Hawaiʻi P-20 / State CTE Office • State Board for CTE under the UH Board of Regents • coordinated CLNA and local Perkins applications
Current pathway fit:
HIDOE lists 13 CTE pathways. Information Technology & Digital Transformation includes Artificial Intelligence, Programming, Networking, Cybersecurity, and Web Design & Development.
Accountability note:
Strive HI is Hawaiʻi’s school performance system. Current high school KPI language includes graduation and postsecondary education/training. Hawaiʻi-specific accountability credit for AI-900 was not verified.
Funding references describe alignment and fit, not guaranteed funding. Consult HIDOE CTE leadership, Hawaiʻi P-20 / State CTE Office guidance, UH Community College partners, and procurement officials for official eligibility and purchasing decisions.
Who Built This
Designed for credibility from day one
This pathway is not a concept — it is a fully designed program of study developed by someone who has built university programs from scratch and understands how curriculum moves from vision to classroom.
Common Questions
What decision-makers ask first
No. The model is built around literacy, ethics, work-based learning, and practical career relevance — not trend-chasing. It gives schools a structured response to technology students are already using, while requiring verification, privacy, teacher oversight, and cultural responsibility.
No. Hawaiʻi is the nation’s only statewide public school district. Implementation should be framed around HIDOE, complex areas, complexes, high schools, UH Community College partners, and statewide CTE structures — not independent local districts.
No. This pathway is designed for CTE adoption within Information Technology & Digital Transformation. It requires one CTE instructor with AI literacy professional development. No coding prerequisite is required.
No. Course 1 requires zero prerequisites beyond basic digital literacy. Students who can use a web browser and create documents are ready to begin.
Yes. The core tool stack is browser-based and Chromebook-compatible. Schools can add more technical tools later, but the entry model does not depend on specialized GPU hardware or a new lab buildout.
The model is structured around teacher-managed accounts, no student PII in AI prompts, documented consent, content filtering, source evaluation, and tool review. It also asks students to treat data, language, ʻāina, and community knowledge with care rather than as raw material for extraction.
Astronomy and AI can be relevant through UH Institute for Astronomy, Pan-STARRS, Haleakalā, and data-intensive science. But the pathway does not present Maunakea development uncritically. Students learn that Maunakea is culturally significant to Native Hawaiians and has been the site of major conflict over telescope construction, so science examples must be taught with respect, context, and community voice.
Not based on sources verified for this edition. Microsoft Azure AI Fundamentals / AI-900 is a national Microsoft certification target, but Hawaiʻi-specific recognition as a Strive HI measure, CCRI metric, or official IRC/IVC credential was not verified. The program can prepare students for the exam, but official recognition should be confirmed with HIDOE, UH, or the relevant credential authority before being claimed.
HIDOE lists Information Technology & Digital Transformation as a CTE pathway and Artificial Intelligence as one of its programs of study. This model is designed for that structure and should be reviewed against HIDOE’s official pathway/program standards, school-level CLNA needs, and state CTE guidance.
Explore whether this pathway fits your school, complex area, or statewide plan.
Start with a planning call, a workshop, or a pilot-year conversation. We’ll walk through whether this four-pillar model fits your students, staffing reality, CTE goals, and Hawaiʻi-specific implementation context — then map the most practical launch path.
For CTE leaders, principals, complex-area staff, UH partners, employers, and education organizations evaluating future-ready CTE options for Hawaiʻi students.
Questions? Reach us at [email protected]