Global · Global Institutional & Tech
AI for IGCSEBuilt for cambridge/igcse schools.
The challenge
Cambridge educators struggle with the high volume of personalized feedback required for Paper 2 and Paper 4 structured responses, often leading to delayed intervention in the lead-up to Board examinations.
How AI Professor™ helps
The platform utilizes Retrieval-Augmented Generation (RAG) mapped directly to Cambridge-endorsed textbooks and mark schemes to provide 24/7 doubt clearance. Teachers utilize syllabus heatmaps to identify collective learning gaps, while the 'Coach Mode' guides students through Command Words like 'Evaluate' or 'Analyze' without providing direct answers.
Why cambridge/igcse schools pick AI Professor™
Most "ai for igcse" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with global institutional & tech workflows, with branding, rosters, syllabus, exams and admin controls every decision-maker recognises.
What's in the box
A branded portal, an AI Teacher persona for every subject, 24×7 doubt-clearance, auto-graded worksheets and exams, handwriting evaluation, parent dashboards in regional languages, and a real admin console — usage, safety incidents, faculty workload.
Pricing & deployment
from $0.99 per student per month. A 14-day pilot covers branding, syllabus loading, teacher onboarding and parent communication. Full rollout typically takes 4–6 weeks.
Compliance & safety
Built for IB, Cambridge IGCSE, AP and Common Core. EU/US/IN data-residency options. SOC 2 posture, GDPR-friendly.
Frequently asked questions
How does AI Professor handle the specific marking criteria of IGCSE Command Words?
The system is programmed to recognize specific IGCSE Command Words such as 'To what extent' or 'Discuss.' It evaluates student input based on the depth of analysis required by the Cambridge rubric, ensuring that learners do not just provide facts but meet high-level assessment objectives.
Does the platform support the IGCSE ICT and Computer Science practical components?
Yes, AI Professor provides real-time syntax correction and logic debugging for Python and Java, which are core components of the IGCSE Computer Science (0478) syllabus. It offers step-by-step guidance for logical troubleshooting without violating academic integrity policies.
How does the RAG architecture prevent 'hallucinations' in subject-specific content like Co-ordinated Sciences?
By using Retrieval-Augmented Generation, the AI is tethered exclusively to verified IGCSE textbooks and teacher-uploaded resources. This restricts the model from pulling outdated or irrelevant information from the open web, ensuring all scientific definitions and formulas are syllabus-accurate.
Can IGCSE coordinators track student progress across different subjects simultaneously?
Institutional leaders have access to a centralized dashboard that aggregates data from all IGCSE departments. This allows coordinators to see which subjects have the highest 'doubt-density' and identify students who may be underperforming across multiple disciplines before mock exams begin.