Analytical material
To revise an AI-assisted draft, first check what your university permits. Verify every factual claim and reference, rebuild the argument from evidence you understand, and disclose assistance when required. A detector score is not a substitute for these checks.
How should an AI-assisted draft be revised?
1. Check the brief and permitted assistance
Read the assignment, department AI policy and any declaration requirements. Record what tools were used and for which tasks. If a form of assistance is prohibited, ask your supervisor how to remedy the draft before submission.
Make a revision table with four columns: passage, problem, evidence needed and action. Separate factual errors, unsupported reasoning, missing citations and language issues.
2. Verify claims and references
Open the original sources rather than relying on generated summaries. Check that authors, titles, dates and identifiers exist and that the source supports the actual claim. Remove fabricated references. Distinguish quotation, paraphrase and your own analysis.
For each paragraph, ask what it establishes, which evidence supports it and what limitation needs explaining. Keep a record of the sources and decisions.
Example: replace a broad claim with an evidenced argument
Weak claim: “Digital learning improves every student’s performance.”
Revision approach: Name the particular course, learning activity, outcome and evidence you actually analysed. Explain whether the design supports a comparison, association or causal inference. Report limitations instead of making a universal claim.
This is an editing example, not a research finding. Do not insert invented data or citations to make a paragraph sound more specific.
3. Rebuild and review the argument
- Outline the argument in your own notes.
- Use verified evidence to support each claim.
- Explain how the evidence answers your research question.
- Check methods, limitations and consistency between sections.
- Review quotations, paraphrases, references and required disclosure.
- Keep draft versions and discuss unresolved issues with your supervisor.
Similarity, AI detection and academic integrity
Similarity checking
Identifies matching text for review. A match may be a quotation or reference; assess attribution and context rather than treating a percentage as a misconduct verdict.
AI writing detection
Turnitin distinguishes its AI writing indicator from the similarity score and acknowledges possible errors. Its output requires human review.
Academic integrity
Compliance depends on the assignment and institutional rules, including authorship and permitted assistance. A low score does not replace those requirements.
Frequently Asked Questions (FAQ)
No. Focus on source verification, your own reasoning and the rules of the assignment; a promised detector score is not a meaningful quality guarantee.
No. Turnitin describes these as separate measures. Neither should be read as an automatic decision on misconduct.
No. Synonym replacement does not verify facts, repair unsupported reasoning or provide missing attribution.
Follow the specific policy for your course and task. Keep a record of assistance and ask the university when the rule is unclear.
We can discuss academic writing support for structure, sources and argumentation within the agreed scope and your university’s rules. Send the brief, draft and deadline.
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