Detection of technology-assisted plagiarism in students’ assignments: Turnitin and the structured interview with the assessor
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Authors
Kudin, Roman
Singh, Niranjan
Bakmeedeniya, Anura
Tawaketini, Jone
Singh, Niranjan
Bakmeedeniya, Anura
Tawaketini, Jone
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Date
2025-12
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Conference Contribution - Oral Presentation
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
New Zealand
Turnitin
AI writing
students
academic writing
plagiarism
AI in education
artificial intelligence
Unitec courses
Turnitin
AI writing
students
academic writing
plagiarism
AI in education
artificial intelligence
Unitec courses
ANZSRC Field of Research Code (2020)
Citation
Kudin, R., Singh, N., Bakmeedeniya, A., & Tawaketini, J. (2025, December, 1-5). Detection of technology-assisted plagiarism in students’ assignments: Turnitin and the structured interview with the assessor [Paper presentation].ITP Rangahau & Research Symposium 2025 + OPSITARA 2025, New Zealand
https://hdl.handle.net/10652/7104
Abstract
THE AIMS
1. To verify the current capabilities of Turnitin (a plagiarism checking service widely used by educational institutions) of detecting AI writing.
2. To evaluate the effectiveness of the structured interview, as an implemented technique of reducing the technology-assisted plagiarism in students’ written assignments.
THE METHODS
1. Lecturer’s experiments with AI writing tools (generative, paraphrasing, translating and text humanisers) including the analysis of resulting Turnitin’s similarity and AI scores for the created samples.
2. The retrospective case studies of students’ assignments, the processes/outcomes of their assessment.
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