✨Feedback from user survey: Auto classification of plagiarism cases

[joeyylow]

Cc:

Hi

Pain

User fatigue due to manual classification of plagiarism cases.
In the page for grouping, comparing the code between two students in a group requires going back to the main listing and finding the pair. This is difficult for 700+ students which has O(n^2) pairs. The user has to manually check whether the similarities are considered as plagiarism or they are just similar references.

Suggested Solution

Can integrate with issue #377 (Reduce false positives by ensuring that most, if not all, cases flagged are actual plagiarism cases instead of due to the use of similar references).

Tasks

• Refer to issue ✨Feedback from user survey: Descriptive summary of how submissions in a similarity cluster are similar #377

Acceptance Criteria

More Information

The feedback provided originates directly from the user feedback surveys and may include requirements and suggestions that lack clarity. The SSID team should evaluate and decide whether the team should address the identified issues or reject suggestions that do not provide clear and actionable insights.

Screenshots

Thanks!