Concerns with the usage of ChatGPT in Academia and Medicine: A viewpoint - Alser, M.; Waisberg, E. (Am J Med Open, 2023)

Measuring Process Capability: Techniques and Calculations for Quality and Manufacturing Engineers - Bothe, D. (J Manuf Syst, 1998)

Language models are few-shot learners - Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A. (Adv Neural Inf Process Syst, 2020)

Academic Plagiarism Detection - Foltýnek, T.; Meuschke, N.; Gipp, B. (ACM Comput Surv, 2019)

Academic Plagiarism Detection - Foltýnek, T.; Meuschke, N.; Gipp, B. (ACM Comput Surv, 2020)

Developing a system for detecting the same content within the UBT academic institution, including special characters - Hajrizi, E.; Zylfiu, B.; Menxhiqi, L. (IFAC-PapersOnLine, 2019)

Back translation: an emerging sophisticated cyber strategy to subvert advances in ‘digital age’ plagiarism detection and prevention - Jones, M.; Sheridan, L. (Assess Eval High Educ, 2014)

A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education - King, M. R.; chatGpt. (Cell Mol Bioeng, 2023)

Methods for Helping Students Avoid Plagiarism - Landau, J. D.; Druen, P. B.; Arcuri, J. A. (Teach Psychol, 2016)

Introduction to statistical quality control - Montgomery, D. C. (Sons, 2020)

Pizarro VG, Velásquez JD (2017) Docode 5: Building a real-world plagiarism detection system. Eng Appl Artif Intell 64:261–271. https://doi.org/10.1016/j.engappai.2017.06.001

Language models are unsupervised multitask learners - Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; Sutskever, I. (OpenAI Blog, 2019)

A Detection Method for Plagiarism Reports of Students - Sakamoto, D.; Tsuda, K. (Procedia Computer Science, 2019)

Determining and characterizing the reused text for plagiarism detection - Sánchez-Vega, F.; Villatoro-Tello, E.; Montes-y-Gómez, M.; Villaseñor-Pineda, L.; Rosso, P. (Expert Syst Appl, 2013)

Student online plagiarism: how do we respond? - Scanlon, P. M. (Coll Teach, 2003)

Writing in your own voice: An intervention that reduces plagiarism and common writing problems in students' scientific writing - Yang, A.; Stockwell, S.; McDonnell, L. (Biochem Mol Biol Educ, 2019)

Alsallal, M., Iqbal, R., Amin, S., & James, A. (2013, 16–18 Dec. 2013). Intrinsic Plagiarism Detection Using Latent Semantic Indexing and Stylometry. 2013 Sixth International Conference on Developments in eSystems Engineering,

Anders, B. A. (2023). Is using ChatGPT cheating, plagiarism, both, neither, or forward thinking? Patterns, 4(3). https://doi.org/10.1016/j.patter.2023.100694

Blackboard. (2023). Blackboard Learn Platform. https://www.blackboard.com/en-eu/teaching-learning/learning-management/blackboard-learn

Chen, Chiang, Storey (2012) Business intelligence and analytics: from big data to big impact. MIS Q 36(4):1165. https://doi.org/10.2307/41703503

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1–12. https://doi.org/10.1080/14703297.2023.2190148

Eke, D. O. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology, 13. https://doi.org/10.1016/j.jrt.2023.100060

Elkhatat, A. M. (2022). Practical randomly selected question exam design to address replicated and sequential questions in online examinations. International Journal for Educational Integrity, 18(1). https://doi.org/10.1007/s40979-022-00103-2

Elkhatat, A. M., Elsaid, K., & Almeer, S. (2021). Some students plagiarism tricks, and tips for effective check. International Journal for Educational Integrity, 17(1). https://doi.org/10.1007/s40979-021-00082-w

Fishman, T. (2009, 28–30 September 2009). “We know it when we see it” is not good enough: toward a standard definition of plagiarism that transcends theft, fraud, and copyright 4th Asia Pacific Conference on Educational Integrity, University of Wollongong NSW Australia.

Francke, E., & Bennett, A. (2019). The Potential Influence of Artificial Intelligence on Plagiarism: A Higher Education Perspective. European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR 2019),

Frye, B. L. (2022). Should Using an AI Text Generator to Produce Academic Writing Be Plagiarism? Fordham Intellectual Property, Media & Entertainment Law Journal. https://ssrn.com/abstract=4292283

Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022). Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. https://doi.org/10.1101/2022.12.23.521610

Hinojo-Lucena, F.-J., Aznar-Díaz, I., Cáceres-Reche, M.-P., & Romero-Rodríguez, J.-M. (2019). Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences, 9(1). https://doi.org/10.3390/educsci9010051

Meuschke, N., & Gipp, B. (2013). State-of-the-art in detecting academic plagiarism. International Journal for Educational Integrity, 9(1). https://doi.org/10.21913/IJEI.v9i1.847

Minitab. (2023a). https://www.minitab.com/en-us/

Minitab. (2023b). Expected overall performance for Normal Capability Analysis. Minitab® 20. Retrieved 23 March from https://support.minitab.com/en-us/minitab/20/help-and-how-to/quality-and-process-improvement/capability-analysis/how-to/capability-analysis/normal-capability-analysis/interpret-the-results/all-statistics-and-graphs/expected-overall-performance/

Norvig, S. R. P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson https://www.pearson.com/en-us/subject-catalog/p/artificial-intelligence-a-modern-approach/P200000003500/9780137505135?tab=accessibility

OpenAI. (2022). Introducing ChatGPT. Retrieved March 21 from https://openai.com/blog/chatgpt/

OpenAI. (2023). GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses. Retrieved March 22 from https://openai.com/product/gpt-4

Qadir, J. (2022). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education. TechRxiv. Preprint.https://doi.org/10.36227/techrxiv.21789434.v1

Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving language understanding by generative pre-training.

Roostaee, M., Sadreddini, M. H., & Fakhrahmad, S. M. (2020). An effective approach to candidate retrieval for cross-language plagiarism detection: A fusion of conceptual and keyword-based schemes. Information Processing & Management, 57(2). https://doi.org/10.1016/j.ipm.2019.102150

Rozencwajg, S., & Kantor, E. (2023). Elevating scientific writing with ChatGPT: A guide for reviewers, editors... and authors. Anaesth Crit Care Pain Med, 42(3), 101209. https://doi.org/10.1016/j.accpm.2023.101209

Sadasivan, V. S., Kumar, A., Balasubramanian, S., Wang, W., Feizi, S., Kumar, A., Balasubramanian, S., Wang, W., & Feizi, S. (2023). Can AI-Generated Text be Reliably Detected? https://doi.org/10.48550/arXiv.2303.11156

Sapci, A. H., & Sapci, H. A. (2020). Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review. JMIR Med Educ, 6(1), e19285. https://doi.org/10.2196/19285

Siegerink, B., Pet, L. A., Rosendaal, F. R., & Schoones, J. W. (2023). ChatGPT as an author of academic papers is wrong and highlights the concepts of accountability and contributorship. Nurse Educ Pract, 68, 103599. https://doi.org/10.1016/j.nepr.2023.103599

Williams, C. (2022). Hype, or the future of learning and teaching? 3 Limits to AI's ability to write student essays. The University of Kent's Academic Repository, Blog post. https://kar.kent.ac.uk/99505/