📋AI & Plagiarism Detection
To ensure academic integrity and fairness across all submissions, we want to share an important update regarding how assignments and documents are evaluated on our platform.
Our Multi-System Evaluation Process
We do not rely on a single platform or basic free tool to check your work. Instead, we utilize specialized internal software that simultaneously screens all submitted documents through the premium, paid versions of +20 different advanced detection systems.
🔍 Note for Students: This internal software and its active list of tools are updated regularly. Specific detectors may be enhanced, added, or replaced at any time without prior notice to maintain maximum accuracy and adapt to the latest technological standards.
Current Detection Systems
Your work is cross-referenced through a robust network of industry-leading plagiarism and AI detection engines. Please note that this list is dynamic and constantly updated, currently utilizing:
Detection Systems Matrix
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Turnitin
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Copyleaks
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Scribbr
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Grammarly
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Paperpal
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SciSpace
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Originality.ai
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Winston AI
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GPTZero
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QuillBot AI Detector
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Sapling.ai
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Pangram AI
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Proofademic AI
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Phrasly
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Humalingo
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Undetectable AI
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Hive Moderation
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dechecker.ai
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ZeroGPT
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Crossplag
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Writer.com
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Smodin
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etc...
What This Means for You
By leveraging +20 premium systems at once, we eliminate the biases or false positives of any single tool, ensuring a highly accurate and fair assessment. We encourage all students to continue submitting original, authentic work and to properly cite all sources.
If you have any questions regarding these tools or academic integrity guidelines, please reach out to your instructor or the academic support team.
Plagiarism and AI Detection in Academic Theses: 15% Maximum (combined)
All submitted theses are subject to the following widely accepted similarity guidelines:
1. Less than 10% = Acceptable
A combined score below 10% is generally considered safe. It indicates that the thesis largely reflects the student’s original work, with any matched content typically consisting of standard terminology, references, or correctly cited quotations.
2. 10–15% = Needs Evaluation
When the combined score falls between 10% and 15%, the work requires closer review. This range does not automatically imply plagiarism or unauthorized AI use but suggests potential over-reliance on existing sources or improper paraphrasing. Faculty members or thesis evaluators must examine these cases individually to determine whether academic integrity has been maintained.
3. Above 15% = Fail
A combined score exceeding 15% is typically deemed unacceptable. High levels of similarity or AI generation indicate improper citation practices or significant portions of unoriginal text, leading to academic penalties or the outright rejection of the thesis.
Publication Affiliation Requirements
Academic integrity is a cornerstone of education at our institution, and these policies exist to ensure originality and uphold scholarly standards. We adopt specific thresholds for combined similarity and AI detection scores when evaluating academic theses to distinguish between the acceptable use of sources and academic misconduct.
All submitted theses are subject to the following widely accepted combined score guidelines:
1. Primary Affiliation Mandate
To fulfill graduation requirements, all mandated peer-reviewed publications must list our institution as the student's primary, first-listed institutional affiliation in the published manuscript.
2. Secondary Affiliations
Secondary or dual affiliations (e.g., a concurrent employer, partner research institute, or funding body) may only be included alongside the primary affiliation with prior written approval from the Research Committee.
3. Request for Variance
If a student's research is contractually funded or structurally supported by an external institution that mandates primary attribution, the student must submit a formal request to the Research Committee prior to submitting the manuscript to any journal.
4. Non-Compliance
Publications that fail to list our institution as the primary affiliation without prior written committee consent will not be credited toward the student's mandatory publication threshold for graduation, regardless of their Scopus indexing status.