Moodle is today one of the most popular web applications in the field of e-learning. It is used for creation and administration of online classrooms. An
important part of online classrooms is assessment of knowledge, which is implemented via Moodle quizzes. A common problem of online quizzes is plagiarism, as they are being solved in an unsupervised environment. The aim of
the thesis was to develop a plug-in for Moodle, which can identify plagiarism
based on the results of the respondents. Plug-in detects plagiators by matching
responses and submission times between respondents. It calculates different
heuristics that estimate the likelihood of plagiarism for each respondent. The
plug-in enables analysis on the level of each quiz and on the level of multiple
quizzes. In this way, a tutor can determine who is most likely a plagiarist and
be cautious about the validity of achieved results.
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