Choose a principle, school grade or study path. These are suggested learning plans; adapt them with a teacher or trusted adult.
Learn to understand, create, care and contribute.
A proposed learning framework, not an accredited curriculum. K–12 labels are used for convenience; adapt to local standards, language, readiness and learner needs. The principles express values, not scientific measurements.
Academic study, skilled work and creative practice can all contribute. Choose a route using interests, prerequisites, access and the kind of work you want to do. Durations, credits, admission and professional requirements vary by institution and country.
A four-stage planning model, often spread across four years. Three-year degrees and longer professional programmes organise these stages differently.
Study: Writing and rhetoric; quantitative reasoning and statistics; disciplinary foundations; computing literacy; history and ethics; a sustained arts or language elective.
Practise: Complete a reproducible small inquiry and a creative or practical project. Meet advisers, identify gaps and compare academic and vocational routes.
Demonstrate: Annotated bibliography, problem set portfolio, source-checked report and a revised study plan.
Study: Major prerequisites, research or studio methods, data analysis, systems thinking, economics of the field and professional communication.
Practise: Join a supervised lab, studio, workshop or community partnership. Learn relevant consent, safety, privacy and research-integrity procedures.
Demonstrate: Methodological critique, pilot study or prototype, teamwork review and a portfolio of independent contributions.
Study: Advanced electives in a coherent specialisation; an adjacent discipline; evaluation methods; ethics and public policy relevant to the field.
Practise: Undertake a supervised placement or equivalent project. Compare the proposed solution with alternatives and gather permitted feedback.
Demonstrate: A substantial project, documented analysis, critique response and a cost or feasibility assessment.
Study: Integrative seminars, capstone or thesis preparation, professional practice and a transition-focused elective.
Practise: Deliver a capstone, thesis, exhibition or tested service. Present to disciplinary and non-specialist audiences and document a handover.
Demonstrate: Defended portfolio or thesis, reproducible materials where appropriate, limitations, credits and a continuing education plan.
Preparation: Strong algebra and scientific writing; precalculus before calculus, and relevant laboratory science. Use a foundation year when needed.
Calculus and linear algebra as appropriate; physics, chemistry or biology; programming; engineering drawing or field methods.
Differential equations or statistics; experimental design; measurement; materials, energy or ecosystem analysis; uncertainty and reproducibility.
Choose energy systems, water, climate, agriculture, robotics, space or another defined field. Study controls, modelling or field techniques with the relevant prerequisites.
Integrate technical performance, cost, environmental impacts, maintainability and community requirements.
Design and test a low-resource monitoring or efficiency project using safe equipment or simulation; publish methods, uncertainty and lifecycle assumptions.
Master’s: advanced modelling and a supervised thesis or applied design project. Doctoral route: identify a specific gap, review prior work, validate methods and produce an original, defensible contribution. Research training does not automatically confer professional licensure.
Selected reference frameworks and resources inform this original proposal. This is not a verified standards crosswalk, an endorsed programme or a substitute for local requirements.
Links reviewed 2026-09-23. Linked material retains its own copyright and licensing terms; these lesson outlines are original summaries.
Preparation: Algebra, logic, writing and introductory programming; statistics and linear algebra before advanced machine learning.
Programming, discrete mathematics, data structures, computer systems and technical writing.
Algorithms, databases, networking, software testing, security fundamentals and probability/statistics.
Choose AI, data engineering, accessibility, human–computer interaction or software systems. Evaluate datasets, benchmarks, failure modes and human oversight.
Build a usable system with tests, documentation, accessibility checks, data provenance and a maintenance plan.
Build a small public-interest application using public or synthetic data. Compare it with a simpler baseline and document reliability, privacy and limitations.
Master’s: advanced systems or statistical learning, research methods and thesis or applied project. Doctoral route: original research with reproducible evaluation and comparison against credible baselines. Do not equate benchmark gains with broad societal benefit.
Selected reference frameworks and resources inform this original proposal. This is not a verified standards crosswalk, an endorsed programme or a substitute for local requirements.
Links reviewed 2026-09-23. Linked material retains its own copyright and licensing terms; these lesson outlines are original summaries.
Preparation: Biology, chemistry, quantitative reasoning and communication; prerequisites vary substantially by programme and profession.
Biology, chemistry, psychology, statistics, scientific literacy and the social context of health.
Biochemistry or physiology, epidemiology, evidence appraisal, research ethics and qualitative or quantitative study design.
Choose public health, biomedical research, nutrition science, psychology or preparation for a regulated clinical programme; use supervised training only.
Evaluate an intervention through study quality, feasibility, access, possible harms and community needs.
Critically appraise a published health claim or analyse an approved public dataset; propose a nonclinical educational resource with supervisor review.
Master’s: methods and a supervised research or public-health project. Professional practice requires jurisdiction-specific accredited training, supervised experience and authorisation. Doctoral research prepares for original inquiry; it is not a substitute for clinical qualifications.
Selected reference frameworks and resources inform this original proposal. This is not a verified standards crosswalk, an endorsed programme or a substitute for local requirements.
Links reviewed 2026-09-23. Linked material retains its own copyright and licensing terms; these lesson outlines are original summaries.
Preparation: Geometry, algebra, communication and a visual or practical portfolio; entry and professional requirements depend on the programme.
Drawing, spatial thinking, architectural history, materials, building science, surveying concepts and accessible design.
Structures, environmental systems, digital modelling, construction methods, urban history and design research.
Choose adaptive reuse, affordable housing, landscape, low-energy buildings, urban planning or a construction craft. Study costs, procurement and local codes with qualified guidance.
Combine user requirements, cultural context, safety, accessibility, carbon, cost and maintenance in a defensible design.
Create an adaptive-reuse or community-space proposal with drawings, a model, material comparisons and user feedback. Label it as a student concept, not construction-ready documentation.
Advanced study may include professional architecture, planning, conservation or building-performance programmes. Apprenticeship routes develop installation, repair and construction competence. Professional titles, degrees and licensure vary locally; no single four-year plan covers every route.
Selected reference frameworks and resources inform this original proposal. This is not a verified standards crosswalk, an endorsed programme or a substitute for local requirements.
Links reviewed 2026-09-23. Linked material retains its own copyright and licensing terms; these lesson outlines are original summaries.
Preparation: Sustained reading or creative practice, curiosity about history and a portfolio where required; strengthen languages relevant to the field.
Close reading, art or music history, creative studio, philosophy, language study and methods of interpretation.
Archive research, source criticism, composition or performance, aesthetics, oral history and permission-aware documentation.
Choose literature, music, visual arts, film, theatre, craft, conservation, philosophy or the academic study of religion. Compare traditions without claiming a hierarchy of cultures.
Create substantial original work or a research argument, explain influences and engage critically with multiple interpretations.
Produce an exhibition, performance, translation commentary, community archive or philosophical essay with permissions, attribution and an explanation of editorial choices.
Master’s or MFA: advanced studio practice, research methods and a substantial thesis or creative project. Doctoral route: an original scholarly or practice-based contribution supported by disciplinary methods. Religious studies examines traditions; adherence to a belief is not an assessment criterion.
Selected reference frameworks and resources inform this original proposal. This is not a verified standards crosswalk, an endorsed programme or a substitute for local requirements.
Links reviewed 2026-09-23. Linked material retains its own copyright and licensing terms; these lesson outlines are original summaries.
Preparation: Strong reading, writing and basic statistics; bring experience of collaborative projects and willingness to hear competing perspectives.
History, sociology, economics, psychology, political institutions and academic writing.
Statistics, qualitative interviewing, programme evaluation, pedagogy or policy analysis, and research ethics.
Choose education, governance, peacebuilding, social enterprise or community development; study local institutions and cultural context.
Compare policy or teaching options using evidence, equity, cost, implementation constraints and affected people’s views.
Develop and evaluate a small educational resource or policy proposal with a partner; distinguish outputs, outcomes and unsupported causal claims.
Master’s: advanced methods and a supervised evaluation or thesis. Doctoral route: original research with defensible evidence. Teaching, counselling and other regulated roles require the applicable professional preparation; this guide does not certify practice.
Selected reference frameworks and resources inform this original proposal. This is not a verified standards crosswalk, an endorsed programme or a substitute for local requirements.
Links reviewed 2026-09-23. Linked material retains its own copyright and licensing terms; these lesson outlines are original summaries.
Compare accredited local programmes, entry requirements, costs, accessibility, paid apprenticeship options and completion outcomes. Build literacy, applied mathematics, digital skills and the relevant safety foundations.
Combine classroom or workshop theory with supervised practice in a chosen field: construction, electrical systems, manufacturing, agriculture, care, culinary arts, craft or digital operations. Follow the provider’s competency and safety requirements.
Build a work portfolio with observed practical assessments, quality checks, fault diagnosis, communication and documented feedback. Seek the recognised credential or licence required locally; this website awards neither.
Develop deeper craft expertise, supervision, estimating, enterprise or design skills. Explore transfer agreements or bridging courses into higher education where available; credit transfer must be confirmed by the receiving institution.
Enter with the relevant degree, qualification or accepted equivalent and identified prerequisite strengths. Sequence advanced seminars and methods first, then a scoped thesis, studio or applied project. Evaluate evidence quality, feasibility and contribution; duration and award requirements are institution-specific.
With a qualified supervisory team, identify a narrow question, map prior work, develop methods, obtain required approvals before data collection, complete original work and defend it. Publish or share only with appropriate rights and permissions. Null findings and documented limitations are legitimate outcomes; a doctorate is not necessary for every impactful career.
Use a recurring cycle: identify a real skill gap, choose one focused resource, practise on a bounded task, obtain external feedback, demonstrate competence and revise the next goal. Maintain an evidence portfolio and revisit ethics, accessibility and the changing limits of your tools.
This guide does not award degrees, credit, credentials or professional authorisation. Verify a programme’s recognition, prerequisites and costs directly with its provider and relevant regulator.
A number from a named source. Check when, where and what it measures.
A way to compare things using chosen rules. Different rules can give different scores.
Something we hope to achieve, or imagine might happen. It is not a measured fact.