Related technologies

Related educational technologies

Monash supported technologies to support academic integrity.

eAssessment

Monash has two supported assessment platforms: eAssessment and Moodle (ELMS). Both in-semester and end-of-semester timed assessments can be delivered via either platform, however, there are many advantages to using the eAssessment platform for your assessments. Centrally timetabled final assessments should be delivered via the eAssessment platform wherever possible.

Turnitin

Turnitin is a Moodle-integrated similarity checking system that compares the text components of submissions, such as essays or reports, against an extensive database of past student submissions, websites, and publications including journal articles and government reports.

Programming similarity-detection software

The recommended systems by the Faculty of Information Technology for code similarity are EdStem (via the lessons feature) and JPlag. MOSS is also an option where the programming language is not supported by EdStem or JPlag. 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.

JPlag

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. 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.

MOSS

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). Instructions for how to do this can be found in the MOSS guide, provided by the Faculty of Information Technology.

Note: MOSS sends student submissions to a separate server so identifying information should be redacted.