The Use of AI-Detection Tools in the Assessment of Student Work

dc.contributor.authorEaton, Sarah Elaine
dc.date.accessioned2024-09-06T19:27:21Z
dc.date.available2024-09-06T19:27:21Z
dc.date.issued2023-05-06
dc.description.abstractIn this commentary I offer guidance on how to approach the use of plagiarism detection, with a focus on text generated by artificial intelligence. I include a discussion of the impact of false allegations on student mental well-being.
dc.identifier.citationEaton, S.E. (2023, May 6). The use of AI-detection tools in the assessment of student work. Learning, Teaching, and Leadership. https://drsaraheaton.com/2023/05/06/the-use-of-ai-detection-tools-in-the- assessment-of-student-work/
dc.identifier.urihttps://hdl.handle.net/1880/119619
dc.language.isoenen
dc.publisher.facultyWerklund School of Educationen
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en
dc.rightsAttribution-NonCommercial-ShareAlike 2.5 Canadaen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/ca/
dc.subjectacademic integrity
dc.subjectacademic misconduct
dc.subjectplagiarism
dc.subjectacademic dishonesty
dc.subjectacademic cheating
dc.subjectChatGPT
dc.subjectartificial intelligence
dc.subjectGenAI
dc.subjectdetection
dc.subjectfalse allegation
dc.subjectallegation
dc.subjectfalse accusation
dc.subjectpolicy
dc.titleThe Use of AI-Detection Tools in the Assessment of Student Work
dc.typeWorking Paper
ucalgary.scholar.levelFaculty
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