Match text from written assignments to text from worldwide sources with Urkund
Urkund is a text-matching software that is used to detect plagiarism. It compares dropbox submissions with sources from student assignments, journals, textbooks and websites for similarities.
Urkund by Ouriginal was founded in 2000 and placed best overall for the combination of usability and coverage by a recently published report by the European Network for Academic Integrity; it has also recently merged with its closest competitor (Plagscan). Foltýnek, T., Dlabolová, D., Anohina-Naumeca, A. et al. Testing of support tools for plagiarism detection. Int J Educ Technol High Educ 17, 46 (2020). https://doi.org/10.1186/s41239-020-00192-4
Past student work submitted to Turnitin will be transferred to Urkund so that they can continue be matched against. In addition to matching to past student work and the Internet, Urkund is integrated with publishers, including WILEY, Springer, CENGAGE, Elsevier, IEEE, Taylor & Francis Group, and Emerald Group.
Training is available through the training and support calendar and the VU Collaborate guides can be found below.
You can also look into this manual created by Urkund (Ouriginal) experts for strategies of discussing academic integrity and plagiarism with students. It has some great explanations and examples. Urkund also have a lot of their own resources. Have a look at them in the Urkund Knowledge Hub.
Students can upload a document to the Student Induction space to obtain an originality check score indication before submitting to the real dropbox in the unit they are taking. Staff also have this option in the VU Collaborate Essentials space. When submitting an assignment in the dropbox in either of those spaces, by default your document will be deleted and not indexed. However, when viewing the Originality Report, there is an option to “Opt-out”. It is very important that you do not select the option this or the following option “Do not delete my document". This will make your submission matchable against itself when submitting to another dropbox. A 100% match back to your first submission could occur.