Re‑imagining Assessment with Artificial Intelligence
Marking needn’t be a twilight chore. Graded Pro harnesses the latest GPT‑4.1 technology to mark whole examination papers in seconds, freeing teachers to focus on what truly matters – teaching and mentoring pupils.
One‑Shot Marking for Entire Papers
Simply upload a PDF, Word document, image, or scan. Graded Pro analyses the full script in a single pass, identifies each response, and applies subject‑specific marking criteria automatically. Whether the answers are typed, handwritten, or a mixture of both, the platform recognises them with remarkable accuracy.
Grades + Full Worked Solutions
Every script receives:
- A complete mark breakdown – score per question and overall grade aligned to your chosen scale.
- Detailed commentary – pinpointing strengths, misconceptions, and next steps for improvement.
- Fully worked solutions – step‑by‑step answers (including diagrams and equations) so learners can see exactly how to reach full marks.
Because the worked solutions are generated dynamically, they mirror each individual question – ideal for mathematics, sciences, humanities, and extended essay papers alike.
Unbiased, Consistent, and Multilingual
AI marking eliminates fatigue‑driven inconsistencies and unconscious bias. It also supports submissions and feedback in any language, perfect for bilingual classrooms and international qualifications.
Seamless Workflows for Busy Teachers
- Google Classroom integration – synchronise classes once; Graded Pro fetches and returns work automatically.
- Student portal & mobile app – pupils upload directly or scan a QR code to submit handwritten scripts.
- Instant moderation tools – teachers can adjust marks, append voice or text notes, and release feedback with one click.
- Cost‑effective at scale – prices start at under half a US cent per script, thanks to the leaner GPT‑4.1 model.
Security You Can Trust
All data remain encrypted in transit and at rest, and Graded Pro is fully GDPR compliant. Scripts are processed within a secure environment and can be anonymised for standardisation or external moderation.