Research
Research
My research focuses on academic integrity and the ways that technology changes learning, assessment and academic misconduct. The main strands are contract cheating, plagiarism detection and prevention, assessment design, student partnership and generative AI.
Selected publications
- Lancaster, T., Draper, M., Dann, S., Crockett, R. and Glendinning, I. (2025), “Developing Policies to Address Historic Contract Cheating and Misuse of Generative Artificial Intelligence”, Journal of Academic Writing, 15(S1).
- Lancaster, T. (2021), “Academic Dishonesty or Academic Integrity? Using Natural Language Processing Techniques to Investigate Positive Integrity in Academic Integrity Research”, Journal of Academic Ethics, 19, 363–383.
- Lancaster, T. (2020), “Commercial contract cheating provision through micro-outsourcing web sites”, International Journal for Educational Integrity, 16, article 4.
- Lancaster, T., Robins, A. V. and Fincher, S. A. (2019), “Assessment and Plagiarism”, in The Cambridge Handbook of Computing Education Research.
- Lancaster, T. (2018), “Profiling the international academic ghost writers who are providing low-cost essays and assignments for the contract cheating industry”, Journal of Information, Communication and Ethics in Society, 17(1), 72–86.
- Lancaster, T. (2018), “Academic Integrity for Computer Science Instructors”, in Higher Education Computer Science.
- Lancaster, T. and Clarke, R. (2016), “Contract Cheating: The Outsourcing of Assessed Student Work”, in Handbook of Academic Integrity.
Research profiles
Current interests
My current work considers academic integrity in an AI-driven educational environment, including policy, assessment and the use of AI within research. At Imperial, I involve students directly through a credit-bearing academic-integrity research module and student-partner projects.