Grade Prediction

Grade Prediction gives you a realistic, rubric-aware indication of how your current draft is likely to be marked at your university. It is designed to help you decide what to improve before submission — not to replace your lecturer's decision.

Free until further notice — no card required

What it does

MyAE's Grade Prediction reads your assignment brief, your rubric or marking criteria and your submission, then returns a predicted grade range — for example "63–68% (2:1)" — along with a transparent confidence score and an explanation of how that range was reached. The output is calibrated: the underlying model produces a structured academic assessment, and MyAE's calibration engine converts that assessment into the final range using historical benchmarks and confirmed lecturer marks.

How it works

  1. Extract the brief, rubric and submission text from your uploaded files (PDF, DOCX or pasted text).
  2. Interpret the brief and identify the specific learning outcomes and instructions it signals.
  3. Score each rubric criterion against the submission with short evidence quotes taken directly from your work.
  4. Assess referencing style, citation integrity and academic level (Y1 to PhD).
  5. Produce a structured academic assessment which the calibration engine then converts into the predicted grade range.

What MyAE considers

  • The exact wording of your assignment brief and learning outcomes.
  • Every rubric criterion, its weight if provided, and the descriptors for each band.
  • Structure, argumentation, use of evidence, referencing and academic voice.
  • Any assessment-specific requirements (word count, referencing style, tone).

What you receive

  • A predicted grade range with a transparent confidence score (0–100%).
  • Criterion-by-criterion scores with short evidence quotes from your work.
  • Strengths and weaknesses summarised in a short lecturer-style narrative.
  • A submission-readiness signal indicating whether the draft is ready, needs revision or is not ready.

Limitations

  • Grade Prediction is an indication, not an official grade. Your institution's decision always overrides MyAE.
  • Grading conventions vary by university, faculty and even module — the prediction is calibrated against a broad benchmark, not your specific marker.
  • The prediction reflects the draft you upload. If you meaningfully revise the essay, re-run it to see the effect.

MyAE is a study-support tool operated by OpenDegree Ltd (registered in England and Wales, Company No. 17397971). It provides indicative, AI-assisted feedback and is not a substitute for your institution's marking.

Frequently asked questions

Is the predicted grade guaranteed?

No. It is an indicative range based on your rubric and draft. Your university's marker makes the final decision.

Why a range instead of a single number?

Academic marking is not a single deterministic value. A range communicates the realistic band your work sits in, given uncertainty about how a specific marker will read it.

How does MyAE decide the range?

The AI model produces a structured academic assessment (criterion scores, quality signals, confidence). A separate calibration engine converts that into the final grade range using historical benchmarks and confirmed lecturer grades — so the model does not pick the grade on its own.

Can I improve my predicted grade?

Yes. Address the weaknesses MyAE lists, tighten your rubric alignment, then re-analyse to see the updated range.

Does MyAE work for all UK universities?

Yes — the prediction is rubric-driven, so it adapts to your specific brief and marking criteria rather than assuming a single grading scale.

Ready to try Grade Prediction?

Upload your brief and current draft. It takes about a minute. Every plan is free while we grow.