Global · Universal Educational AI
Detecting AI in schoolsBuilt for teachers, admin.
The challenge
Educators struggle with an increasing volume of 'black box' assignments where traditional plagiarism checkers fail to flag synthetically generated text, leading to inaccurate student progress tracking.
How AI Professor™ helps
AI Professor mitigates reliance on external AI tools by providing a syllabus-aligned 'Coach Mode' that records the step-by-step logic of student work. Instead of retrospective detection, administrators use RAG-driven textbook alignment to ensure all AI interactions occur within the platform's monitored environment, creating an auditable trail of learning.
Why teachers pick AI Professor™
Most "detecting ai in schools" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with universal educational ai 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
Can AI detectors provide 100% certainty in disciplinary cases?
No automated tool provides absolute certainty, as false positives occur with non-native English speakers or highly structured technical writing. Schools should use detection scores as a signal for further verbal viva-voce examination rather than as sole evidence for academic misconduct.
How does AI Professor reduce the incentive for students to cheat?
The platform utilizes a 'Coach Mode' that guides students through curriculum-aligned problems without providing the final answer. By making the AI a tutor rather than a ghostwriter, and tracking these interactions in the parent dashboard, the platform removes the 'blank page' pressure that drives students toward external AI generators.
Is it possible to detect AI content that has been manually edited by a student?
Manual editing increases the complexity of detection; however, structural markers often remain. AI Professor addresses this by providing heatmaps of student engagement, allowing teachers to see if a complex essay was developed over several hours in-platform or pasted instantly from an external source.
What is the difference between linguistic detection and process tracking?
Linguistic detection analyzes the final document for predictable word patterns, whereas process tracking monitors the evolution of an assignment. AI Professor prioritizes process tracking, documenting the student’s query history and doubt-clearing sessions to prove the student arrived at the conclusion through active effort.