moodLearning antiPlagiarism (mLaP) Service

Functionalities

▸  searches and compares similarities between submitted assignments using pair-wise document comparison

▸  searches the internet for similar documents and display similarity results

▸  processes files submitted (txt, pdf, doc, docx, odt, rtf, txt, cpp, java)

▸  mass upload of reference papers from partner institutions

Learning Management System (LMS) Plugin

Integration into other learning management systems (LMS) can be requested.

checks submitted assignments by comparing them with other submissions and other similar materials available online (available in Moodle)

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How to install mLaP service in Moodle

1. Install the plugin in Moodle or skip this part and ask moodLearning Support Team to do it for you.

For moodLearning service beginners

2. Enable Plagiarism plugins. - Once installed successfully, go to Advanced features of the Site Administration page to activate plagiarism plugins site-wide.

How to install mLaP service in Moodle

Enable mLaP Service

3. Go to Plagiarism settings after enabling plagiarism plugins.

Enable mLaP Service

▸  To enable mLaP…

Once done, go to Site Administration/ Development, and purge all caches.

Now it’s enabled.

Advantages of the mLaP Service

1. Unlimited number of users.

▸  comes bundled with the service contract of moodLearning.

2. Integrated search ▸  the mLaP Service is embedded right in the settings of Assignment submission, thus avoiding the added task of submitting or cutting-and-pasting student papers in third-party online portals.

3. IP Control

▸  the partner institution keeps the control or ownership of intellectual property (IP) of submitted documents from its constituents.

4. Native search engine

▸  has its own powerful network search engine (moodLearning Search) that can be used to index contents found within a particular network or domain.

1. Options for anonymous or pseudonymized uploads of reference papers

▸ An anonymous upload can't be linked back to submitter.

▸ A pseudonymized upload can be linked back to submitter or author of the paper with proper credentials, authority or consent.

moodLearning, Inc

How mLap works

Stage 1 : Submission

A paper is submitted in txt, pdf, doc, docx, odt, rtf, txt, cpp, java file formats. In Moodle, it is done via the Assignment activity of the course.

Stage 2 : Peer Comparison

Submitted paper gets hashed or “fingerprinted.” The resulting “identity” is compared with other fingerprints from other submissions.

Stage 3 : Internet Search

The submitted work is also compared with online materials as indexed by a search engine regardless of the outcome in Stage 2. For now, the reference search engine is Bing.

Stage 4 : Network Search

An added layer of search is done with the moodLearning Search (mLS) indexing particular networks or domains. mLS also enables organizations or individuals (outside of any LMS) to upload documents that form part of the reference or database.

Stage 5 : Results

A paper is submitted in txt, pdf, doc, docx, odt, rtf, txt, cpp, java file formats. In Moodle, it is done via the Assignment activity of the course.

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