Resources
Guides, training materials, and community links to help you get the most from Gradeio.
Get up and running
Four short guides covering the core workflow from upload to export.
Uploading your first paper
Step-by-step walkthrough for uploading student responses and a marking scheme, then running your first AI grade.
Setting up rubric scales
How to configure A–E rubric scales so the AI assigns credit bands exactly as your exam board requires.
Reviewing and overriding grades
Use the Review Workspace to inspect every AI decision, approve correct grades, and override where needed.
Exporting results to your LMS
Export grades as Generic CSV, Moodle Gradebook, Canvas import, SCORM score objects, or student HTML reports.
In-depth training materials
Videos, PDFs, and articles for teachers, examiners, and IT administrators.
Video series · 4 parts
AI Grading Fundamentals
Understand how the model reads marking schemes, detects visual cues in handwriting, and applies credit bands.
Guide · PDF
Interpreting Confidence Scores
Learn what the 0–1 confidence score means, when to expect low confidence, and how flag_for_review helps you triage quickly.
Article · 10 min
Specialised Domains: Physics & CS
How the engineering/physics and CS/programming modules extend grading rules for unit conversion, Big-O, and algorithm equivalence.
Guide · PDF
Best Practices for Marking Schemes
Tips for structuring your marking scheme so the AI extracts band criteria accurately and minimises flagged reviews.
Article · 7 min
Follow-Through Credit Explained
How Gradeio handles cascading errors in multi-part questions and when follow-through credit is automatically applied.
Checklist · PDF
School-wide Rollout Checklist
IT requirements, LMS integration options, user roles setup, and data-handling guidance for deploying across a department.
Community
Join the Gradeio Educators Forum
Share marking tips, discuss AI grading accuracy, request new features, and connect with teachers using Gradeio across Ireland, the UK, and beyond.
- Best-practice sharing
- Feature requests
- Exam board Q&A
- Peer support
Frequently asked questions
Quick answers to common questions about uploads, grading, privacy, and integrations.
Which file formats are supported for student responses?
JPEG, PNG, and PDF are accepted for both student response images and marking scheme pages. For multi-page papers, upload each page as a separate image or use a multi-page PDF.
How does the AI handle illegible handwriting?
The model lowers its confidence score when handwriting is unclear and sets flag_for_review to true. You will see the affected question highlighted in the Review Workspace so you can inspect it manually.
Can I use Gradeio without a rubric scale?
Yes. When no rubric scale is provided the model uses a standard M1/A1/B1 mark-scheme format. Rubric scales are optional but improve consistency for Leaving Cert and similar exams that use band-based marking.
Are teacher corrections used to improve future grading?
Yes. Corrections saved in the Review Workspace are automatically included as context in the next grading call for that paper, so the model applies the same logic to similar questions.
What data is stored and for how long?
Grading sessions are stored in your browser's localStorage only — no student response images are sent to or stored on our servers beyond the duration of the grading API call. See our Privacy Policy for full details.
Still need help?
Our support team typically replies within one business day.