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Artificial Intelligence Final Year Topic: Design and Evaluation of AI Rubric Alignment for Draft Feedback

This Artificial Intelligence final year project examines checking whether generated feedback addresses a supplied writing rubric through a bounded AI prototype with an explicit baseline and evaluation dataset.

Why choose this project topic?

A study of checking whether generated feedback addresses a supplied writing rubric gives this topic a concrete purpose beyond simply adding an AI model. Comparing rubric coverage, factual feedback and actionability helps a student demonstrate capability, inspect failure cases and explain where human review or a simpler method remains necessary.

How effectively can ai rubric alignment for draft feedback support checking whether generated feedback addresses a supplied writing rubric, evaluated using rubric coverage, factual feedback and actionability?

Choose a feasible licensed or synthetic dataset and available compute budget, then agree a narrow evaluation for checking whether generated feedback addresses a supplied writing rubric with your supervisor.

Proposed project objectives

  1. 01Define the task, evidence and evaluation assumptions for checking whether generated feedback addresses a supplied writing rubric.
  2. 02Use original short drafts and a transparent rubric, compare feedback strategies and score unsupported criticism and actionable references.
  3. 03Measure rubric coverage, factual feedback and actionability against a stated baseline and analyse failure cases.

A suggested research approach

Use original short drafts and a transparent rubric, compare feedback strategies and score unsupported criticism and actionable references. Check dataset permissions and keep evaluation examples separate from model development. Record model versions, prompts or training settings, then compare rubric coverage, factual feedback and actionability using repeatable runs and retain incorrect outputs for a transparent limitations discussion.

What you will need

  • Original draft samples
  • Reviewed assessment rubric
  • Permitted language model

Keep your project scope clear

The prototype must not assign binding academic grades or replace a lecturer's judgement. Generated project writing does not include a trained or deployed AI application.

Artificial Intelligence project chapter outline

Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.

  1. Chapter 1Introduction
  2. Chapter 2Literature Review
  3. Chapter 3System Analysis and Design
  4. Chapter 4System Implementation and Testing
  5. Chapter 5Summary, Conclusion and Recommendations

Turn this topic into your own final year project.

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