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Plagiarism Checker with Batch Processing

Plagiarism Checker with Batch Processing

Challenge

As part of their training, students complete online exams involving the analysis of 6–9 complex business cases.
With 1,000 to 2,500 students taking each exam at the same time, APT needed a solution to compare text online and identify instances of text similarity between essays within the same exam session.

About the Client

APT is a South African company that provides specialized training for future accountants. 

Region

South Africa

Time

3 months

Team

3 developers

Solution

Standard plagiarism detection tools weren’t helpful because they only check against external sources, not against other students’ work.

For example, if two students submit their exam scripts and these scripts contain identical or nearly similar text (whether word-for-word or paraphrased), it is considered plagiarism between the works. 

This situation frequently arises in online exams, where preventing collaboration or answer-sharing among students is difficult. Identifying such similarities became the key challenge for APT.

Plagiarism Checker with Batch Processing

Before the development stage, Silk Data had to address the following challenges in developing the online plagiarism checker: 

Plagiarism Checker with Batch Processing

Exam scripts often contained common professional terms, standard phrases, or legal citations, which naturally led to similarities across student responses.

Plagiarism Checker with Batch Processing

Exam essays ranged from 20 to 55 pages in length, and plagiarism could be limited to just a single page or section, requiring a detailed and precise detection approach.

Plagiarism Checker with Batch Processing

With a large volume of scripts, manually identifying and analyzing potential cases of plagiarism was both impractical and time-consuming.

To overcome these challenges, Silk Data developed a customized plagiarism detection system designed specifically for APT’s needs.

The plagiarism checker is built to optimize the plagiarism detection process, offering these key capabilities.

Comparison

Compares texts in batches to detect plagiarism (both exact matches and semantic similarities, even when content is paraphrased). 

Automatization

Automatically flags suspicious pairs of exam essays for manual review. 

Filtering

By setting a similarity threshold, the system identifies document pairs that exceed this threshold, significantly narrowing down the number of cases for review. After filtering, only 20-30 pairs need to be manually examined, a process that can be completed in just a few hours.

Schedule a meeting with our team to discover how our customized plagiarism detection system can streamline your exam process and ensure academic integrity with precise, efficient analysis.

How Plagiarism Checker Works

  • 1

    All student scripts are analyzed against each other to identify similarities.

  • 2

    The system establishes a certain similarity threshold (e.g.,70%).

  • 3

    If two scripts exceed the threshold (e.g., 75% similarity), they are flagged as suspicious and added to the list for further review. If the similarity is below the threshold (e.g., 70% or less), the pair is not flagged, as it is considered non-suspicious.

  • 4

    An exam instructor reviews the flagged pairs to confirm or deny plagiarism.

Plagiarism Checker with Batch Processing

Results

Plagiarism Checker with Batch Processing

The plagiarism detector reliably identified even the smallest instances of copied or paraphrased content, ensuring 95% accuracy in plagiarism detection and guaranteeing fair grading for all students. 

Plagiarism Checker with Batch Processing

With Silk Data’s solution, APT revolutionized its exam review process, cutting manual review time by 80% while maintaining a high standard of academic integrity. 

Plagiarism Checker with Batch Processing

Silk Data's plagiarism detection system is flexible enough to be adapted for various other domains and formats beyond just academic settings. 

Plagiarism Checker with Batch Processing

The solution can detect even the smallest instances of copied or paraphrased content, ensuring fair and accurate grading for all students. 

Plagiarism Checker with Batch Processing

Our plagiarism checker efficiently processes up to 2,500 essays in just 2 hours using batch processing, eliminating the need for complex integrations with university systems. 

Frequently Asked Questions

Batch processing lets instructors upload all exam essays at once. The system quickly checks all the documents for plagiarism and marks the most suspicious ones, saving time compared to checking each paper one by one.

Yes, the system can easily handle hundreds or even thousands of exam scripts at the same time, making the process much faster than doing it manually.

No doubt, it’s very easy to integrate with existing systems at educational institutions. Unlike other tools, it doesn’t require entering detailed student information, which makes the setup process quick and straightforward.

The system uses advanced algorithms to analyze the text and identify sections that are most likely to contain plagiarism. It compares the content of each paper with others and looks for similarities in phrasing, structure, and meaning.

The system flags sections with the highest likelihood of plagiarism, such as identical text or paraphrased content, and presents only the most suspicious cases for review. This helps instructors focus on the essays that need attention, saving time and effort in the review process.

Comparing thousands of exam scripts manually is nearly impossible. Batch processing can save a significant amount of time. What would normally take days to check manually can be completed in just a few hours with the system. 

Absolutely, the system is adaptable for other types of assignments like essays, projects, and professional exams. It can easily be customized to suit different requirements. 

Project info

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