AI Pathway
AI literacy, responsible use, prompting, verification, privacy, AI security and applied projects.
- Grades
- Grades 6–12
- Group size
- 25–30 students with 1–2 participating educators
- Length
- 8–14 weeks
- Where it runs
- School-day enrichment, After-school, Weekend academy, Summer camp, Library / community center
Students already meet AI in search, apps, images, writing tools and chatbots. Without guidance they risk hallucinations, misinformation, privacy mistakes and over-reliance. The AI Pathway teaches students to understand, question and use AI responsibly — and to build real projects with clear human judgment.
Who it’s for
Grades 6–8
AI Explorers learn what AI is, how to use it safely, and how to check AI-generated content.
Grades 9–10
Applied AI learners build responsible workflows with prompting, research, privacy and AI security.
Grades 11–12
Career Academy students connect AI to cyber, data, software, business, governance and portfolio projects.
Educators
Teachers get practical classroom guidance for responsible AI use and student safety.
Grade tracks
Each track has its own modules, projects and final showcase.
AI Explorers
What AI is, how to prompt safely, how to spot fakes, privacy, bias, creativity and a community AI project.
Applied AI
Prompt engineering, research verification, data and privacy, responsible AI, AI security and a capstone pitch.
AI Career Academy
Workflow design, prompt evaluation, AI security, governance, AI for software and business, and a portfolio capstone.
Why it matters now
Students already use AI
Search, apps, images, writing tools, chatbots and social media are increasingly AI-assisted.
Unguided use creates risk
Hallucinations, misinformation, privacy, bias, academic integrity and over-reliance must be taught directly.
Access should be equal
AI literacy should not be limited to students with paid tools or private enrichment.
Teachers need clarity
Educators need practical frameworks, not only generic advice about AI.
How the program is built
Understand
What AI is, its strengths, limits and real-world uses.
Question
Verification, source checking, bias, misinformation and deepfakes.
Use responsibly
Prompting, privacy, transparency, academic integrity and human oversight.
Build and present
Applied projects, community problems, portfolio artifacts and careers.
The responsible-AI routine students practise
Every AI task follows the same five checks, so good habits become automatic.
- 1
Ask
Define the task and context.
- 2
Generate
Use an approved tool.
- 3
Check
Verify with evidence.
- 4
Protect
Remove sensitive data.
- 5
Explain
Document the human judgment.
What students do
What students leave with
- Verified research workflow
- Responsible prompt library
- AI safety checklist
- Community problem prototype
- Portfolio artifact
How students benefit
Understand
What AI is good at, where it fails, and why.
Question
Spot hallucinations, deepfakes, bias and misinformation.
Use responsibly
Prompt well, protect privacy and be transparent about AI use.
Build
Create a community project and a portfolio artifact with clear safeguards.
For parents: what this means for your child
- Students learn when AI is helpful and when it is wrong — and how to check it.
- Privacy comes first: no personal or sensitive information goes into prompts.
- Academic integrity is taught directly: students are transparent about how they used AI.
- No paid AI subscription is needed; teacher demonstrations can replace student accounts.
Open to every student
- No paid AI subscription required
- Teacher demonstrations can replace student accounts
- Templates and scaffolds for beginners
- Recruitment can prioritize underserved communities
Safety rules built in
- No personal or sensitive data in prompts
- Approved tools only
- AI outputs are treated as drafts that a person must verify
- Transparent AI use in student work
- AI-security topics are conceptual and supervised — no bypassing real systems
Teachers keep the know-how
- Responsible classroom AI orientation
- Prompting and verification guidance
- Privacy and safety rules
- Lesson integration examples
- Project rubrics and a handoff toolkit
Where these skills can lead
People students meet
For schools and funders
Pilot targets, who provides what, and which grants this program fits.
| What we measure | How | Pilot target |
|---|---|---|
| AI literacy growth | Pre/post concept and scenario checks | 20%+ |
| Responsible-use competency | Privacy, bias and verification scenarios | 80%+ |
| Verification competency | Source-checking exercises | 80%+ |
| Project completion | Capstone artifact and presentation | 75%+ |
| Career awareness | Survey and reflection | 75%+ |
| Teacher capacity | Readiness survey and handoff | 1–2 educators enabled |
The school or partner provides
- Approved tools and policies
- Students and learning space
- Devices/internet where possible
- Parent communication and permissions
- Teacher/site participation
We provide
- Curriculum and instructors
- Prompt, lab and project materials
- Teacher toolkit
- Assessment and outcome report
- Capstone support
Funding fit
Sample timeline
| When | What happens | Result |
|---|---|---|
| Weeks 1–2 | Approved-tool review, recruitment, teacher orientation | Tool/safety checklist and roster |
| Weeks 3–8 | AI literacy, verification, privacy and responsible-use modules | Attendance and lab evidence |
| Weeks 6–10 | Applied workflows and community project | Project milestone |
| Weeks 10–14 | Capstone, showcase, reporting and handoff | Portfolio artifact and KPI report |
Ask about AI Pathway
About: AI Pathway