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Get Instant Feedback on Your IB Past Paper Answers

Preparing for IB exams often means practising past paper questions. However, most students never receive detailed feedback explaining why their answers lose marks.

Aimnova's AI IB past paper feedback tool analyses your responses using IB marking expectations. It helps you understand how examiners award marks and shows exactly how to improve your answers.

You can upload answers from IB ESS, IB Economics, and IB Business Management past paper questions and receive structured feedback instantly.

Why feedback matters

Most IB students practise past paper questions but never get detailed feedback on their answers. Without understanding how examiners award marks, students repeat the same mistakes.

Structured feedback helps you identify weak areas, improve your exam technique, and learn what top-scoring answers look like — before the real exam.

How the tool will work

Step 1

Upload your IB answer

Type or paste your answer to any IB past paper question.

Step 2

AI analyses your response

Our AI evaluates structure, explanation quality, and command term usage.

Step 3

Receive detailed feedback

Get specific feedback on what was done well and what could be improved.

What feedback includes

Command term analysis
Structure suggestions
Missing key ideas
Exam technique tips
Mark band assessment
Specific improvements

Example feedback breakdown

Here's what feedback looks like for a 6-mark IB ESS question on biodiversity loss.

Question

Explain two impacts of deforestation on biodiversity. [6 marks]

Your score

4 / 6
1/1

Impact 1 — identification

Habitat loss correctly identified.

1/1

Impact 1 — explanation

Clear link between tree removal and species decline.

1/1

Impact 1 — example

Orangutans in Borneo — specific and relevant.

1/1

Impact 2 — identification

Soil erosion identified as a second impact.

0/1

Impact 2 — explanation

Explanation is too vague — link soil erosion to biodiversity loss explicitly.

0/1

Impact 2 — example

No specific example given. Mention a location or species affected.

How to improve

For Impact 2, explain how soil erosion reduces biodiversity (e.g. nutrient loss reduces plant diversity, which affects herbivore populations). Add a real-world example such as deforestation in the Amazon leading to river siltation.

Example of AI feedback for a 6-mark IB ESS question. Students see exactly which ideas earn marks and what needs improvement.

Practice IB exam questions

Before uploading answers for feedback, you can practise with real IB-style questions from our question banks.

Frequently asked questions

Which IB subjects are supported?+

We currently support IB ESS, Economics, and Business Management (SL and HL). More subjects are coming soon.

How does the AI mark my answers?+

The AI analyses your response against IB marking expectations — checking structure, command term usage, key ideas, and evaluation quality. It provides a mark-by-mark breakdown.

Is this the same as getting marked by a real examiner?+

No — this is AI-powered feedback designed to help you practise. It follows IB marking patterns but is not an official IB assessment. Think of it as a study tool that helps you understand where you gain and lose marks.

Do you store my exam papers?+

We process your answer to generate feedback but do not permanently store copyrighted exam content. Your response text is analysed in real-time and not retained.

Is it free?+

The basic version with limited daily feedback will be free. A Pro plan will offer unlimited feedback, detailed analytics, and progress tracking across multiple papers.

Can AI mark IB past paper answers?+

AI can analyse IB-style answers by checking structure, command terms, explanations, and key ideas expected in IB mark schemes. While it is not an official IB examiner, AI feedback can help students understand how their answers compare to high-scoring responses and identify areas for improvement.

Supported subjects

Practice first, then get feedback.

Start by answering IB-style questions in our question banks and upload your response for feedback.

Get notified when it launches

The AI Past Paper Feedback tool is currently being built. Join the waitlist to be the first to try it — and get early-access perks.

No spam — just a single email when we launch.