CBSE
Board-mapped school learning across languages, humanities, mathematics, sciences, skill subjects, general studies and health / physical education.
PROGRAMMES / SCHOOL
TUTOR School Programmes organise school learning into a coherent progression: durable subject knowledge, stronger reasoning, computing and intelligent systems, practical work, projects and increasingly independent creation — with curriculum mapping available across national, CISCE, Cambridge, IB and AP-aligned pathways.

01 / CURRICULUM COMPATIBILITY
Begin with the curriculum context the learner follows. TUTOR then maps the relevant subjects, levels and learning outcomes into its own learning architecture while preserving the TUTOR-native layers for interdisciplinary learning, computing, AI and Frontier exploration. A mapping identifies the source curriculum, subject, level, learning outcome, corresponding TUTOR learning object and coverage status.
Board-mapped school learning across languages, humanities, mathematics, sciences, skill subjects, general studies and health / physical education.
Curriculum mapping for relevant school pathways, including science, commerce and humanities subjects and associated specialisations.
Compatibility for broad school science, commerce, humanities and language coverage while keeping TUTOR's own progression architecture.
Cambridge IGCSE and related school pathways can be represented as curriculum mappings, retaining their subject structure and cross-curricular perspective.
IB MYP and IB DP can be mapped into TUTOR while preserving programme-specific structures such as interdisciplinary work, Theory of Knowledge, Extended Essay and CAS where relevant.
TUTOR can provide AP-aligned study and preparation across selected AP subjects. Official AP course designation and AP provider authorization remain with the authorised school or provider.
02 / PROGRAMME ARCHITECTURE
The school layer is not a loose collection of lessons. It gives learners a common academic structure, then lets each subject or pathway become more specialised as capability grows. Advanced exploration is connected to foundational learning instead of being treated as a separate world.
01 / SUBJECT
Build durable understanding through concepts, examples, practice and structured assessment.
02 / THINKING
Strengthen mathematical, scientific, linguistic, computational and critical reasoning.
03 / COMPUTING
Use programming, data, software and digital tools as instruments for learning and creation.
04 / INTELLIGENCE
Introduce AI and intelligent systems through problem formulation, use, evaluation and responsible practice.
05 / PROJECT
Turn learning into artefacts: experiments, models, code, analyses, presentations and prototypes.
06 / FRONTIER
For learners ready to go deeper: research-style work, interdisciplinary challenges and emerging fields.
03 / PROGRAMME TRACKS
Each track is a structured programme family. Selecting one does not isolate the learner: the TUTOR model makes connections to other disciplines explicit.

Physics, chemistry, biology and scientific reasoning through concepts, experimentation, modelling, measurement and evidence.

Programming, algorithms, data, software systems and computing practice with progression toward more advanced systems work.
Foundational AI concepts, data, models, generative systems, intelligent applications, evaluation and applied project work.

Language, textual study, structured knowledge, interpretation and interdisciplinary inquiry through a distinct knowledge architecture.

Accounting, business studies, financial reasoning and enterprise, connected to data, computing and organisational practice.
Movement, fitness, sport performance, health knowledge, discipline and structured physical practice across school stages.
04 / CAPABILITY PROGRESSION
TUTOR uses a six-level capability architecture. School learners may progress through it at different rates; the level describes capability, not simply age or grade.
Core concepts, vocabulary, basic methods and disciplined study.
Structured exercises, experiments, problem solving and guided application.
Projects, models, software, analyses and other learner-created artefacts.
Complex tasks, clearer judgement, communication and disciplined workflows.
Design interconnected systems, methods or projects with greater independence.
Research-style questions, emerging tools and advanced interdisciplinary work.
04 / EVIDENCE & PRACTICE
Progress is made visible through work. The exact evidence depends on the programme family, but the learner should gradually accumulate artefacts that demonstrate understanding and capability.

PRACTICE / PROJECT / PORTFOLIO
06 / DELIVERY FORMATS
Delivery is layered inside each format. Online, hybrid, laboratory-supported or other practical delivery can be used according to the programme and learner's needs.
BATCH
From ₹999/month
Cohort teaching, scheduled sessions, shared practice and structured progression.
PREMIUM
From ₹1,500/month
Smaller cohort structure with deeper feedback, project support and additional academic resources.
ONE-TO-ONE
From ₹7,000/month
Personalised pacing, targeted instruction and closer project or progression support.
SELF-DIRECTED
Fee by pathway
Structured resources, project briefs and progression pathways for independent learners.
Programme fees depend on the pathway and its practical requirements. Admissions confirm the exact fee for your pathway and format before you pay.
07 / SCHOOL LIBRARY
The library supports teaching rather than replacing it: core references, practice material, tools, project resources and advanced reading are organised around learner purpose.
CORE
Structured explanations, reference material, subject notes and recommended readings.
PRACTICE
Question sets, worked examples, tutorials and progressive challenge.
LAB
Science and technical practical activities with evidence capture and review.
TOOLS
Programming environments, simulations, datasets and digital systems.
PROJECTS
Briefs, milestones, rubrics, examples and portfolio guidance.
FRONTIER
Research-style material and specialist resources for learners ready to go deeper.
08 / ECOSYSTEM CONNECTIONS
A learner can begin with a school pathway and later move into deeper discipline or programme environments. The connections remain explicit throughout the ecosystem.
01
Accounting, enterprise, financial reasoning and organisations.
02
Movement, fitness, sport, health knowledge and practice.
03
Programming, algorithms, software, data and computing systems.
04
Language, textual study, interpretation and structured knowledge.
05
AI foundations, generative systems and intelligent applications.
Use a school programme as the structured entry point, then extend into a discipline, project or advanced capability pathway as the learner progresses.