Related technologies

Related educational technologies

Here are a few different technologies that can be used to support maintaining academic integrity and help to identify similarity.


Turnitin is a Moodle-integrated similarity checking system. Turnitin compares a submitted work with a very large online database including academic papers, previous Turnitin submissions, and the World Wide Web.

It identifies similarities in wording between the submission and the database, and identifies the source of the similarity. An originality report is then generated. Pay close attention to the sources of the similarities to determine whether the case should be investigated for plagiarism. Visit the Turnitin page to learn more on how to use it in checking similarities in students' work.

Safe Exam Browser

Both in-semester and final assessments can be delivered via Monash’s eAssessment platform which can operate with or without ‘safe exam browser’*. ​This locks down the browser ensures that students cannot copy or paste information from other sources, and prevents access to programs, websites, system functions, and unauthorised resources on a student’s device.

Students are required to install a Safe Exam Browser in order to lock-down the browser during an exam in the eAssessment platform.

Monash eVigilation

Monash has developed customised technologies, Monash eVigilation and eMERS*, to secure eAssessment at scale. eVigilation ensures students are supervised by trained Monash staff: either fully on-campus, fully remotely or a combination of both.  Watch eAssessment’s video demonstrating how Monash eVigilation and eMERS work.

Programming similarity-detection software

This guide provides information about recommended similarity detection systems by the Faculty of Information Technology. It compares and contrasts the tools MOSS and JPlag to help you select an appropriate similarity matching system for  programming assessments.


MOSS (Measure Of Software Similarity) is a similarity-detection system which can compare pairs of student submissions (both single file submissions and folders) against one another using small blocks and highlighting similarities. Similarity is detected even when work has been made to attempt to subvert detection (e.g. changing variable names, function order, etc.). Similarity detection is processed over the MOSS server which can lead to bottlenecks especially for large numbers of student submissions. MOSS is capable of handling most common programming languages and compares comments (i.e. text-based documentation). This guide provided by the Faculty of Information Technology explains how to use Moss with Moodle.


Like MOSS, JPlag is a similarity-detection system which compares pairs of student submissions (whether single files or sets of files in a folder) together through small blocks and uses colouring to highlight similarities between them. Like MOSS, JPlag can detect similarity even where efforts have been made to hide this. Unlike MOSS, JPlag has a limited set of common languages (though this can be extended) and runs on your personal computer which avoids potential bottlenecks. Like MOSS, JPlag will also compare comments within code.This guide provided by the Faculty of Information  Technology explains how to use JPlag.

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