AI Writing & Plagiarism Detector for Faculty
Review student assignments, research papers, project reports and other academic submissions for potential plagiarism and AI-generated content signals before evaluation.
Contact usSample view for illustration.
Plagiarism checker for faculty
Faculty regularly review submissions that may contain content from existing sources. CheckForPlag identifies potential similarities and shows source information for closer review.
Identify potential similarities
Find content that may match or closely resemble existing sources.
Review matched sources
Examine matched content and its sources to see where similarities occur in a submission.
Review assignments and academic submissions
Support every stage of evaluation, from assignments to research and project work.
Review for potential plagiarism and content overlap before grading or giving feedback.
Examine research papers, project reports and other submissions for potential similarities.
Find sections that may need a citation, a rewrite or further examination.
AI writing detection for faculty
Alongside plagiarism checking, CheckForPlag helps you review writing patterns that may be associated with AI-generated content.
Identify AI-content signals
See which sections of a submission show patterns associated with AI-generated writing.
Support academic review
Use AI-content signals as extra information when evaluating work and discussing academic writing practices.
Plagiarism and AI review in one workflow
Plagiarism review
Identify potential similarities, review matched content and examine the sources associated with those matches.
AI content review
Review AI-content signals separately to understand another aspect of the submitted writing.
Combined review
Consider both results to decide which sections may need closer attention.
What can faculty review?
Different types of academic content submitted by students and researchers.
Assignments
Check student assignments for potential similarities and AI-content signals.
Research papers
Review papers before evaluation, feedback or further academic review.
Project reports
Examine project reports and other documents for potential content overlap.
Dissertations & theses
Review longer submissions for potential similarities and AI-content signals.
What does the report show?
Information that helps you understand the results of each document analysis.
Similarity results
Similarity information identified within the submitted document.
Matched content
Sections that may match or closely resemble existing sources.
Source information
The sources associated with identified matches.
AI-content signals
Sections showing patterns that may be associated with AI-generated writing.
Why faculty use CheckForPlag
A structured way to review academic submissions for potential plagiarism and AI-generated content signals.
Review content overlap
A duplicate content checker identifies content that may appear elsewhere or closely resemble existing material.
Examine text similarity
A text similarity checker helps you review textual overlap between a submission and identified sources.
Review results clearly
Matched content, sources, similarity results and AI-content signals appear in one structured report.
Support consistent evaluation
Apply one review process across assignments, research papers, projects and other submissions.
Support academic review with CheckForPlag
Give faculty a structured way to review student work for potential plagiarism and AI-generated content signals before grading, feedback or further academic evaluation.
Contact usFAQs
How can faculty use CheckForPlag?
Faculty can review assignments, research papers, project reports, theses, dissertations and other academic submissions for potential plagiarism and AI-generated content signals.
Can faculty check student assignments for plagiarism?
Yes. Faculty can review potential similarities, matched content and associated sources within submitted assignments.
Can CheckForPlag detect AI-generated writing?
CheckForPlag analyzes writing patterns that may be associated with AI-generated content and presents the results as AI-content signals.
Can plagiarism and AI detection be used together?
Yes. Faculty can review plagiarism results and AI-content signals as part of the same document-review process.
What types of student work can faculty review?
Assignments, research papers, project reports, theses, dissertations and other academic documents.
What does the plagiarism report show?
The report can include similarity information, matched content, source information, highlighted sections and AI-content signals.