CBSE 2026-27 theme: CT & Understanding AI
Teachers stay at the centre.
AI gives them deeper visibility into every learner.
A 25-hour professional development programme that teaches teachers to use AI responsibly to identify learning gaps, personalise student support and make better teaching decisions — and to prove it with evidence from their own classroom.
Certification is earned on classroom evidence, not attendance — every teacher finishes with before-and-after results from their own class.
The principle
AI recommends. Teachers decide.
This is not an “AI tools course”. It is a pedagogy programme in which AI does the pattern-work first so the teacher can spend the time on the work only a teacher can do.
The teacher
- Diagnoses
- Guides
- Challenges
- Contextualises
- Motivates
- Validates
Knows the child, the class and the context. Owns every decision that reaches a student or a parent.
The AI
- Analyses
- Suggests
- Personalises
- Practises
- Tracks
- Assists
Finds patterns across forty students faster than any human can — and is never the final word.
Why now
CBSE made CT & AI the 2026-27 training theme
Teachers complete 50 CPD hours a year, 25 of them school-based. For 2026-27 the Board asks schools to build capacity around seven CT & AI sub-themes. This programme is designed in the same 6 / 8 / 11 shape as those hours and around those seven themes; the school decides how each session is recorded.
School-based hours by domain
The seven sub-themes (TRG-02/2026)
- 1 Foundations of Computational Thinking (CT) and AI Readiness
- 2 From Play to Abstraction: Progressive Pedagogy for Computational Thinking
- 3 Mathematics as the Cornerstone of Computational Thinking and AI readiness
- 4 Interdisciplinary Connections: CT across Subjects at Middle Stage
- 5 AI in Real-World Contexts
- 6 Assessment and Pedagogy in CT and AI
- 7 Ethics and Responsible use of AI
District Level Deliberations on CT & AI (Workshop)
Offline, one day · 6 hours of school-based CPD under Domain-II
Expert-Led Talks on CT & AI in Schools
Half day, facilitated by internal or external experts invited by the school · 3 hours of school-based CPD under Domain-II
Independent programme, not a CBSE certification.
PrepGraph Academy is not affiliated with, endorsed by, or accredited by the Central Board of Secondary Education. Certificates are issued by PrepGraph. The programme is designed around the CBSE 2026-27 training theme and the CBSE/NPST professional-development domains; the host school decides how to record the hours under CBSE’s CPD guidelines and keeps the attendance records — we supply the templates.
Three connected programmes
Teachers, leaders, and the district
One architecture: the teacher programme creates the habit; the leadership workshop creates ownership; the district workshop creates reach.
25 hours · teachers
AI-Enabled Educator Programme
Ten modules across the three CBSE/NPST domains, a real classroom practicum and an evidence-based capstone. Certification is performance-based, not attendance-based.
See the programme3 hours · principals & coordinators
Leading an AI-Enabled School
Governance, responsible-use policy, teacher adoption, student AI policy, data and privacy, and a school implementation roadmap — so management owns the change.
See the leadership workshopOne day · Lead School hosted · Sahodaya / district
CT & AI Workshop support
Help a Lead School host a CBSE-format District Level Deliberation — case-paper coaching, an expert-led session, the F1/F2/F4 paperwork — with a separate, optional PrepGraph demonstration.
See the workshop formatThe 25 hours
Built on the CBSE/NPST domains, not an arbitrary course length
Six hours of values and ethics, eight of knowledge and practice, eleven of professional growth — the same shape as the school-based CPD year.
The modules
Full programme| # | Module | Hours | Level |
|---|---|---|---|
| 1 | Understanding AI in Education What AI actually is, what it can and cannot reliably do, and why the teacher stays the decision-maker. | 2 h | Level 1 · AI-Aware Educator |
| 2 | Responsible AI for Teachers Bias, fairness, student data, integrity and verification — the habits that make AI safe to use with a class of forty children. | 2 h | Level 1 · AI-Aware Educator |
| 3 | The Teacher’s Role in an AI Classroom AI recommends. Teachers decide. What that sentence means on a Monday with 9-B — and how to say it to students and parents. | 2 h | Level 1 · AI-Aware Educator |
| 4 | Computational Thinking Across Subjects Decomposition, pattern recognition, abstraction, algorithmic thinking and reasoning from evidence — as moves in a Maths, Science, English or Social Science lesson, and as the way a teacher reads a class’s results. | 2 h | Level 2 · AI-Enabled Educator |
| 5 | AI-Enabled Pedagogy Take one real chapter — Class 9 Science, Motion — and plan it the way a diagnostician would: prerequisites, concepts, misconceptions, competency questions, gaps, differentiated remediation, reassessment. Then: how do you do this with 40 students? | 3 h | Level 2 · AI-Enabled Educator |
| 6 | AI, Assessment and Learning Gaps Marks are not mastery. Write questions whose wrong answers tell you what a student believes, read results by question and by student, and run Assessment → Gap → Intervention → Reassessment. | 3 h | Level 2 · AI-Enabled Educator |
| 7 | AI Teacher Productivity Lab Three hours of your own week’s work — lesson plan, questions, worksheets, explanations, a parent note — done with several AI tools and verified before use. | 3 h | Level 3 · Certified AI-Enabled Educator |
| 8 | Personalised Learning & Academic Intelligence — the PrepGraph Teacher Workflow Teach → assess → identify → diagnose → intervene → verify → review: seven steps run end to end on a demo class, with the teacher deciding at every one. | 3 h | Level 3 · Certified AI-Enabled Educator |
| 9 | Classroom AI Practicum One class, one chapter, 10–30 students, four weeks: teach as you always do, then diagnose, intervene, reassess — and keep the evidence. | 3 h | Level 3 · Certified AI-Enabled Educator |
| 10 | Teacher Reflection & Capstone Turn four weeks of classroom evidence into a short case study — in the structure CBSE asks DLD presenters to use — and present it to your peers. | 2 h | Level 3 · Certified AI-Enabled Educator |
What teachers actually learn
A new pedagogical workflow — which PrepGraph implements
Marks are not mastery. A student who scores 62% in Physics may be strong on the equations of motion, weak on graph interpretation, partial on acceleration and missing a prerequisite about direction. The workflow finds that — and does something about it.
- 1
Teach
The teacher teaches the chapter as they always have — and records what was covered.
Nothing about classroom teaching changes. The class log (topic, concepts, homework, next test) is what lets the AI tutor continue the lesson at home.
Teacher
- 2
Assess
Students complete a short diagnostic — 8 to 12 competency questions, not a test.
Questions are written (or AI-drafted and teacher-approved) against the concepts of the chapter, with distractors that catch specific misconceptions.
Students
- 3
Identify
Who did not understand?
Results by student and by question — the first pass that replaces the spreadsheet.
AI
- 4
Diagnose
Exactly which concept is weak — and is it really a prerequisite from last year?
The teacher reads the pattern (which distractor, which concept, which students) and decides what it means. AI recommends; the teacher decides.
AI + Teacher
- 5
Intervene
Named students get named practice — and their AI tutor carries it home.
The teacher assigns differentiated practice or a reteach for the nine students who need it; the student’s tutor re-explains at their level — by voice in Hindi or English, by chat in English today.
AI + Teacher
- 6
Verify
Students are reassessed on the same competencies.
A short second check — same concepts, different items — so that improvement is measured, not assumed.
Students
- 7
Teacher review
Who improved? Who still needs help? What needs reteaching in class?
The teacher closes the loop: a classroom decision, a note to a parent, a reteach on Monday. This is the behaviour the certificate actually certifies.
Teacher
This is not “training teachers to operate PrepGraph”. It is teaching a workflow; the platform is how it runs with forty students. Teachers use other AI tools in the programme too.
Generic prompt engineering gets 30–45 minutes. The rest is teaching.
Many programmes will teach ChatGPT → Gemini → prompting → image generation → quiz → certificate. CBSE’s curriculum asks for activity-based, experiential, competency-oriented, platform-agnostic learning. So does this one: decomposition, misconceptions, competency questions, assessment that finds gaps, differentiated intervention, reassessment, reflection.
Certification
A certificate that means the teacher did it
Levels are cumulative. Level 3 requires a classroom practicum with real students and a capstone with before/after evidence — structured like CBSE’s own case-paper format.
- Level 1
AI-Aware Educator
PrepGraph AI-Aware Educator
6 hours cumulative
Can explain what AI can and cannot reliably do, recognise bias and privacy risks, and describe the teacher-decides principle in their own classroom terms.
Modules 1–3
- Level 2
AI-Enabled Educator
PrepGraph AI-Enabled Educator
14 hours cumulative
Can plan a chapter around prerequisites and misconceptions, write competency questions, read an assessment for gaps rather than marks, and differentiate a remediation plan — and, from the Module 1 log, can use an AI assistant for real lesson-preparation tasks and verify what it returns before use.
Modules 1–6
The certificate a teacher earns
Level 3Certified AI-Enabled Educator
PrepGraph Certified AI-Enabled Educator
25 hours cumulative
Has actually run the workflow with real students and can show the evidence: which concepts were weak, what was done for whom, and what changed on reassessment.
Modules 1–10
- Level 4
AI Mentor Educator
PrepGraph AI Mentor Educator
By nomination
The school's in-house AI Champion: runs internal workshops, mentors new cohorts, and carries the workflow forward without PrepGraph staff on site.
Honest wording
The certificate reads “PrepGraph Certified AI-Enabled Educator — 25-Hour Professional Development Programme, aligned with the CBSE 2026-27 training theme and the CBSE/NPST domains”. Never “CBSE certified”.
Performance-based
Attendance earns nothing on its own. Assignments, a practicum and a capstone are assessed against published rubrics.
Mirrors CBSE Format F1
The capstone uses the same structure as CBSE’s DLD case-paper template — problem, methodology, roles, implementation, evidence-based impact, inclusivity, scalability, reflection — so a capstone can become a district case paper.
How it runs in a school
Twelve weeks, not a one-day training
Teachers spend two to three months actually using the workflow with their own students. By certification day it is part of how they teach.
| Week | What happens |
|---|---|
| Week 0 Leadership | Principal & management orientation The 3-hour leadership workshop: what AI changes, what it must not replace, policy, data, the 12-week plan. Decide the cohort and the CPD recording approach. |
| Week 1 Teacher cohort | Teacher AI foundations Modules 1 & 3 — understanding AI; the teacher’s role in an AI classroom. |
| Week 2 Teacher cohort | Responsible AI + computational thinking Modules 2 & 4 — bias, privacy, integrity; CT across subjects. |
| Week 3 Teacher cohort | Assessment & learning-gap workshop Modules 5 & 6 — decompose a real chapter; write competency questions; read an assessment for gaps, not marks. |
| Week 4 Teacher cohort | Productivity lab + classroom workflow lab Modules 7 & 8 — hands-on with several AI tools; then the teach → assess → identify → diagnose → intervene → verify workflow on PrepGraph. |
| Weeks 5–8 Teachers with students | Classroom practicum Module 9 — a 60-minute launch, then each teacher runs the workflow with one class, one chapter, 10–30 students. Weekly 30-minute clinic. |
| Week 9 Teacher cohort | Intervention analysis Before/after evidence pulled from the dashboard; reteach decisions made; parent notes drafted. |
| Week 10 Teacher cohort + leadership | Case-study presentations Module 10 — capstones presented to peers in the CBSE Format-F1 structure; feedback. |
| Week 11 PrepGraph Academy | Assessment End-of-programme assessment; portfolio review; Level 3 decisions. |
| Week 12 Whole school | Certification ceremony Certificates presented by the school; AI Champions nominated; CPD records finalised by the school. |
Bring the programme to your school
Tell us your board, grades and teacher count. We’ll reply within two working days with a cohort plan and the CPD record templates.