When exams are cancelled, predicted grades stop being a planning tool and become the final outcome. That shift creates an immediate problem for schools: how do we produce predicted grades that are accurate, consistent, and defensible—under intense time pressure and parent scrutiny?

This guide focuses on the real challenge behind predicted grades IGCSE A Level: parent pressure, fairness risk, and the operational reality of grading without exams—and how AI Buddy helps schools run a reliable system.

Why predicted grades become high-stakes after exam cancellation

Exam cancellation creates a “trust gap” because the external benchmark disappears. Schools often face:

• Parent pressure: “Why is my child’s grade lower than expected?” becomes a daily escalation.
• Fairness issues: different classes and teachers may use different evidence and standards.
• Inconsistent documentation: leaders can’t quickly show what evidence led to each grade.
• Teacher overload: spreadsheets, manual moderation, and last-minute changes reduce accuracy.

The result is predictable: appeals increase, relationships get strained, and leaders spend time firefighting instead of quality assurance.

How schools calculate predicted grades (and where it breaks)

Most schools calculate predicted grades using some mix of:

• recent test performance
• mock exams or timed assessments
• coursework / internal tasks
• classwork and participation signals
• teacher professional judgement and department moderation

This can work—until cancellation compresses timelines and “inputs” vary wildly. The weak points are usually:

• Evidence is uneven (different task difficulty, different marking strictness)
• Weights are unclear (what matters most, and why)
• Moderation is inconsistent (too late, too light, or not comparable across classes)
• Exceptions aren’t tracked (missed mocks, special circumstances, late entries)

If those aren’t fixed, predicted grades accuracy schools aim for becomes nearly impossible.

What “accurate predicted grades” really means for schools

Accuracy isn’t just “close to what the exam might have been.” In practice, a school needs predicted grades that are:

• Consistent across teachers and classes
• Evidence-based with clear minimum requirements
• Moderated using a repeatable workflow
• Explainable to parents and students
• Audit-ready for leadership review and appeals

That’s exactly what a system should deliver.

AI Buddy: accuracy + consistency for grading without exams

AI Buddy helps schools move from ad-hoc prediction to a structured workflow for grading without exams.

Here’s how AI Buddy improves predicted grades reliability:

• Standardised evidence framework: define what counts as evidence per subject and how much is required.
• Comparable assessments: run consistent mock/timed assessments so cohorts can be moderated fairly.
• Rubrics + marking consistency: align internal tasks to criteria so teacher marking is comparable.
• Moderation workflow: build in second-marking, standardisation, and leadership checkpoints.
• Evidence packs: compile the work and rationale behind each grade so queries and appeals are fast and fair.

Instead of “best guess,” schools can run a repeatable, transparent process that protects students and staff.

A practical predicted-grades model schools can implement quickly

If you need to stabilise predicted grades fast, this phased approach works well:

1. Set policy per subject: required evidence types + minimum quantity (so no student is graded on “too little”).
2. Lock shared assessment expectations: common structure for mocks/timed tasks where possible.
3. Define weighting rules: clear priorities (e.g., mocks + internal assessments + topic tests), plus documented exceptions.
4. Moderate in stages: department first, then leadership sampling; log changes and reasons.
5. Publish explanation: a parent-facing summary of how grades were produced.

AI Buddy supports this end-to-end so the process is consistent across departments.

FAQ

Does this remove teacher judgement?

No—AI Buddy structures teacher judgement so it’s consistent, moderated, and backed by evidence.

Will this reduce parent complaints?

It typically reduces escalation because decisions are transparent and evidence-based, and the “why” is easy to show.

Can this work for both IGCSE and A Level?

Yes. The workflow supports predicted grades IGCSE A Level by standardising evidence, moderation, and reporting rules.

Bottom line

After exam cancellation, schools need more than effort—they need a system. AI Buddy helps schools improve predicted grades accuracy by standardising evidence, enabling moderation, and making grading without exams fair, consistent, and defensible.