AI Young Systems Thinker
See the whole system. Decisions, incentives, institutions, and the technology that reshapes them.
A program for students learning to see the whole system behind technology, people, incentives, ethics, and change.
- Age range
- 15–22
- Duration
- 30 weeks
- Format
- Hybrid
- Level
- Senior
- Cohort
- 8–12 students
- Outcome
- Systems analysis + research defence
Problem framing and complex systems thinking.
A program for students learning to see the whole system behind technology, people, incentives, ethics, and change.
- What this program is
Problem framing and complex systems thinking.
- Who it is for
Students interested in strategy, society, design, economics, ethics, technology, and complex problem-solving.
- What students build
Research-grade systems brief
- What students learn
Students learn to scope, map, and interrogate complex systems with AI as a thinking partner — defending their analysis to peers, mentors, and an external panel.
- How students are taught
Small cohorts of 8–12 students, mentor ratio 1 mentor : 6 students. Edison runs on case-based learning, rotating studio roles, prototype-first modules, and panel defence.
- Final outcome
Systems analysis + research defence
Every Edison program runs on the same five-mode cycle — Inquiry → Explore → Build → Critique → Exhibit — with depth and autonomy calibrated to the level. AI Young Systems Thinker is calibrated for the senior stage.
Students are mentored in small cohorts, defend their work in studio critique, and exit each module with a portfolio-ready artefact they can demonstrate, explain, and improve.
The Edison Learning Engine
How a program assembles into capability.
Edison programs are not a sequence of lessons. They are a learning engine — six parts that fit together to produce thinkers who can build with AI, defend their work, and lead.
Assembly
Curiosity Core
- 01
Curiosity Core
Students begin with questions, not templates. They learn to investigate problems before reaching for tools — the genuine intellectual engine of the program.
- 02
AI Fluency Layer
Students learn how to use AI systems as thinking partners, research assistants, and creative collaborators — across prompts, models, tools, and workflows.
- 03
Builder Studio
Students move from ideas into prototypes — turning abstract concepts into tangible AI-powered outputs through structured, hands-on experimentation.
- 04
Systems Thinking Ring
Students learn to see the whole system: users, constraints, incentives, workflows, ethics, and impact — the connective tissue that turns parts into outcomes.
- 05
Communication Lens
Students learn to present their thinking clearly, explain how their solution works, defend their decisions, and refine in response to critique.
- 06
Final Prototype Engine
Every module ends with a working prototype that students can demonstrate, explain, and improve — the assembled output of the entire learning engine.
The learning pathway, module by module.
Each module builds on the last. Students complete short cycles of inquiry, build, and critique, ending with a final showcase artefact.
- M01
Module 01
Systems Mapping
Frame complex problems as systems with leverage points.
- M02
Module 02
Scoping & Research
Use AI to investigate, source, and synthesise rigorously.
- M03
Module 03
Critical Reasoning
Stress-test claims; recognise hallucination and bias.
- M04
Module 04
Defence of Ideas
Cite, justify, and defend conclusions with academic rigour.
- M05
Module 05
Final Brief
Publish a research-grade brief on a real-world system.
Students learn with the tools modern builders actually use.
The AI Young Systems Thinker toolkit is curated to match the depth and ambition of this program. Students learn to choose, combine, and switch between tools — not memorise a single platform.
Category
Research & Mapping
- Perplexity
- NotebookLM
- Miro
Category
Systems & Workflows
- Notion
- Airtable
- Make
Category
AI Analysis
- ChatGPT
- Claude
- Gemini
Tools evolve. Edison teaches the durable thinking — choosing the right tool, combining tools well, and switching when a better tool emerges.
Edison AI Academy
Founding faculty
Students learn from instructors who combine AI fluency, curriculum design, strategy, and practical implementation experience. Edison AI Academy is built around the belief that young people do not just need to learn tools — they need to learn how to think, build, and lead with them.
Cohorts are deliberately small (8–12 students, mentor ratio 1 mentor : 6 students), so every student is known, stretched, and held to a high standard.
We teach young people how to think, build, and lead with AI — not just how to use it.
Edison AI Academy is a selective program. Fees reflect the small cohort size, mentor ratio, and the depth of the work students complete.
Flexible payment plans may be available for accepted students. Bursaries and scholarships are reviewed individually as part of the admissions conversation.
We frame this as an investment in your child's future readiness, not a transactional fee for content delivery.