Good practice

For students

• Cite sources according to the required style.
• Use quotation marks or block formatting for direct quotations.
• Keep notes, drafts, references, and version history.
• Submit readable files and verify the final upload.
• Ask what use of generative AI is permitted before using it.
• Do not edit writing merely to manipulate an automated score.

For lecturers

• Explain ScholarScan use before submission.
• Align enabled checks with the assignment design.
• Avoid one universal similarity threshold across all assessments.
• Review source passages and exclusions.
• Give students a route to explain their process and evidence.
• Treat AI indicators as limited, probabilistic supporting information.
• Protect report access and student data.
• Apply institutional policy consistently and document human judgement.

For both roles

ScholarScan works best as part of transparent assessment design. Reports should support conversation, source review, feedback, and fair academic processes—not replace them.