01 / SUBJECT
Core Knowledge
Build durable understanding in school subjects through structured concepts, practice and assessment.
PROGRAMMES / PROFESSIONAL
School Programmes at TUTOR are designed around the learner's stage, not a collection of isolated classes. Core subjects, intelligent systems, projects and frontier exploration can be structured into coherent learning pathways for school-age learners.

Classroom learning · Wikimedia Commons · image source below
01 / PROGRAMME ARCHITECTURE
The school layer connects foundational subjects with computational and frontier capabilities. The learner is not asked to choose between “school learning” and advanced exploration.
01 / SUBJECT
Build durable understanding in school subjects through structured concepts, practice and assessment.
02 / THINKING
Develop mathematical, scientific, linguistic, computational and critical reasoning across subjects.
03 / COMPUTING
Programming, data, computing systems and digital tools become instruments for learning and creation.
04 / AI
Understand and use intelligent systems with emphasis on evaluation, problem formulation and responsible practice.
05 / FRONTIER
Explore emerging domains through deeper projects, research-style work and interdisciplinary challenges.
06 / CREATION
Turn learning into artefacts: experiments, software, analyses, presentations, prototypes and research portfolios.
02 / LEARNER PATHWAYS
Programme intensity and content can be adapted to learner age, prior knowledge and intended depth. The pathway is capability-based rather than simply grade-labelled.
STAGE 01
Build confidence with language, mathematics, science, digital literacy and learning habits.
STAGE 02
Apply concepts through exercises, experiments, problem sets, programming and guided projects.
STAGE 03
Combine subjects to create substantial projects and explain the reasoning behind the work.
STAGE 04
Explore advanced AI, engineering, research, computing or specialised knowledge systems.
03 / PROGRAMME FAMILIES
School Programmes are organised as families so a learner can develop depth in a core area while maintaining cross-disciplinary capability.

CORE / SCIENCE
Physics, chemistry, biology and scientific reasoning through concepts, experiments, modelling and evidence.

TECHNOLOGY / COMPUTING
Programming, algorithms, data, software systems and computing projects with progression toward intelligent systems.

FRONTIER / AI
Machine learning, generative systems, intelligent applications, evaluation and advanced project work.

KNOWLEDGE / HUMANITIES
Language, textual study, structured knowledge, interpretation, philosophy and interdisciplinary inquiry.

BUSINESS / COMMERCE
Accounting, business studies, financial reasoning, enterprise and applied organisational thinking.

PHYSICAL / HEALTH
Movement, fitness, sport performance, discipline, health knowledge and structured physical practice.
04 / INTERDISCIPLINARY PROJECTS
Students should not only study subjects separately. Projects can combine the disciplines to make learning visible and transferable.
COMPUTING × AI
Build a small software application that uses data or an intelligent model, then evaluate its behaviour.
SCIENCE × COMPUTING
Turn a scientific relationship into a computational model, experiment with parameters and interpret results.
BUSINESS × DATA
Analyse a structured dataset, construct a decision model and explain assumptions and limitations.
KNOWLEDGE × AI
Organise a textual corpus, create structured knowledge and build a searchable learning interface.
SPORT × DATA
Collect movement or training observations and use structured analysis to investigate performance.
05 / DELIVERY FORMATS
The same academic structure can be delivered through different levels of personalisation and intensity.
BATCH
Cohort-based instruction, scheduled sessions, guided practice, projects and shared learning resources.
PREMIUM
Smaller learning groups with deeper project support, feedback and additional academic resources.
ONE-TO-ONE
Personalised pacing, targeted instruction, project supervision and learning-path adjustments.
SELF-DIRECTED
Structured resources, project briefs and progression pathways for learners working independently.
06 / LEARNING EXPERIENCE
Every programme can use a common learning loop while retaining subject-specific pedagogy and assessment.

A school programme is more than a sequence of lessons. Each pathway can produce visible evidence of growing capability.
07 / SCHOOL LIBRARY
The library can combine textbooks, open educational resources, exercises, datasets, code, project briefs and research material according to learner level.
CORE
Structured explanations, reference material, subject notes and recommended readings.
PRACTICE
Question sets, practice tasks, worked examples and progressive challenge.
LAB
Science, computing and project-based practical activities with evidence capture.
TOOLS
Programming environments, simulations, data tools and age-appropriate digital systems.
PROJECTS
Interdisciplinary briefs, rubrics, milestones and examples of finished work.
FRONTIER
Research papers, advanced courses and specialist resources for learners ready to go deeper.
08 / DISCIPLINE CONNECTIONS
School Programmes connect directly to TUTOR's discipline architecture, allowing a learner to move from broad foundations toward deeper specialised study.
Accounting, business studies, financial reasoning and enterprise.
Fitness, sport performance, health knowledge and discipline.
Programming, algorithms, software, data and computing systems.
Language, textual study, interpretation and structured knowledge.
Machine learning, generative systems and intelligent applications.
Explore a school pathway, connect disciplines and develop capability through structured practice and creation.