Writing with AI: University Students’ Use of ChatGPT

Keywords: ChatGPT, academic honesty, academic integrity, plagiarism, ethics, artificial intelligence

Abstract

Background: ChatGPT, a chatbot based on a large language model, captured global attention toward the end of 2022. With its potential to generate comprehensive texts of a variety of genres based on a string of straightforward prompts, it was soon perceived as a threat by many in various fields, including – and in particular – education. Schools across the world began banning its use as instructors started to receive suspiciously well-written essays and assignments from their students.

Aim: This study aimed to investigate the prevalence of use of ChatGPT among university students for written assignments, explore the ways students utilize the tool, and examine students’ perspectives on the ethical aspects of its use.

Method: An online questionnaire was designed to collect data from 201 students from private and public universities in Croatia.

Results: The results show that more than half of the participants use ChatGPT for written assignments, that most use it to generate ideas, while many use it to summarize, paraphrase, proofread, but also to write a part of the assignment for them. According to the participants, the most ethically acceptable use of ChatGPT is for generating ideas, while other uses are perceived by many as being unethical; this, however, has not prevented some students from engaging in behaviors they deem unethical.

Conclusion: We conclude that universities and instructors need to take a decisive stand on artificial intelligence in education and provide clear guidelines to students regarding the ethical use of ChatGPT and emerging technologies.

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References

Anitha, P., & Sundaram, S. (2021). Prevalence, types and reasons for academic dishonesty among college students. Journal of Studies in Social Sciences and Humanities, 7(1). 1-14.

Bilić-Zulle, L., Frković, V., Turk, T., Ažman, J., & Petrovečki, M. (2005). Prevalence of plagiarism among medical students. Croatian Medical Journal, 46(1), 126-131.

Brimble, M., & Stevenson-Clarke, P. (2005). Perceptions of the prevalence and seriousness of academic dishonesty in Australian universities. Australian Educational Researcher, 32(3), 19-44. DOI: https://doi.org/10.1007/BF03216825

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

Crawford, J., Cowling, M., & Allen, K.-A. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching and Learning Practice, 20(3). DOI: https://doi.org/10.53761/1.20.3.02

Currie, G. M. (2023). Academic integrity and artificial intelligence: Is ChatGPT hype, hero or heresy? Seminars in Nuclear Medicine, 53(5), 719-730. DOI: https://doi.org/10.1053/j.semnuclmed.2023.04.008

Davis, S. F., Grover, C. A., Becker, A. H., & McGregor, L. N. (1992). Academic dishonesty: Prevalence, determinants, techniques, and punishments. Teaching of Psychology, 19(1), 16-20. DOI: https://doi.org/10.1207/s15328023top1901_3

Denisova-Schmidt, E. (Ed.). (2020). Corruption in higher education: Global challenges and responses. BRILL.

Dukić, D. (2022). Plagiranje u digitalnome dobu: znanja i ponašanja studenata Sveučilišta J. J. Strossmayera u Osijeku. Vjesnik bibliotekara Hrvatske, 65(1), 251-272. DOI: https://doi.org/10.30754/vbh.65.1.927

Eaton, S. E., & Christensen Huges, J. (Eds.). (2022). Academic integrity in Canada: An enduring and essential challenge. Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-83255-1

Greitemeyer, T., & Kastenmüller, A. (2023). HEXACO, the Dark Triad, and Chat GPT: Who is willing to commit academic cheating? Heliyon, 9, 1-9. DOI: https://doi.org/10.1016/j.heliyon.2023.e19909

Hill, G., Mason, J., & Dunn, A. (2021). Contract cheating: an increasing challenge for global academic community arising from COVID-19. Research and Practice in Technology Enhanced Learning, 16. DOI: https://doi.org/10.1186/s41039-021-00166-8

Ives, B., Alama, M., Mosora, L. C., Mosora, M., Grosu-Radulescu, L., Clinciu, A. I., Cazan, A.-M., Badescu, G., Tufis, C., Diaconu, M., & Dutu, A. (2017). Patterns and predictors of academic dishonesty in Romanian university students. Higher Education, 74(5), 815-831. DOI: https://doi.org/10.1007/s10734-016-0079-8

Jowarder, M. I. (2023). The influence of ChatGPT on social science students: Insights drawn from undergraduate students in the United States. Indonesian Journal of Innovation and Applied Sciences, 3(2), 194-200. DOI: https://doi.org/10.47540/ijias.v3i2.878

Majstorović, D. (2016). Stavovi studenata korisnika Nacionalne i sveučilišne knjižnice u Zagrebu o plagiranju i javnoj objavi ocjenskih radova. Vjesnik bibliotekara Hrvatske, 59(3/4), 131-152. https://hrcak.srce.hr/187613.

Malesky, A., Grist, C., Poovey, K., & Dennis, N. (2021). The Effects of peer influence, honor codes, and personality traits on cheating behavior in a University Setting. Ethics & Behavior, 22(1). DOI: https://doi.org/10.1080/10508422.2020.1869006

Ngo, T. T. A. (2023). The perception by university students of the use of ChatGPT in education.International Journal of Emerging Technologies in Learning, 18(17), 4-19. DOI: https://doi.org/10.3991/ijet.v18i17.39019

O'Rourke, J., Barnes, J., Deaton, A., Fulks, K., Ryan, K., & Rettinger, D. A. (2010). Imitation is the sincerest form of cheating: The influence of direct knowledge and attitudes on academic dishonesty. Ethics & Behavior, 20. 47-64. DOI: https://doi.org/10.1080/10508420903482616

Petrak, O., & Bartolac, A. (2014). Academic honesty amongst students of health studies. Croatian Journal of Education, 16(1), 81-117. https://hrcak.srce.hr/120169.

Pupovac, V., Bilic-Zulle, L., Mavrinac, M., & Petrovecki, M. (2010). Attitudes toward plagiarism among pharmacy and medical biochemistry students - cross-sectional survey study. Biochemia Medica, 20(2), 307-313.

Rigby, D., Burton, M., Balcombe, K., Bateman, I., & Mulatu, A. (2015). Contract cheating & the market in essays. Journal of Economic Behavior & Organization, 111. 23-37. DOI: https://doi.org/10.1016/j.jebo.2014.12.019

Singh, H., Tayarani-Najaran, M.-H., & Yaqoob, M. (2023). Exploring computer science students' perception of ChatGPT in higher education: A descriptive and correlation study. Education Science, 13(9), 1-23. DOI: https://doi.org/10.3390/educsci13090924

Sweeney, S. (2023). Who wrote this? Essay mills and assessment - Considerations regarding contract cheating and AI in higher education.International Journal of Management Education, 21(2). DOI: https://doi.org/10.1016/j.ijme.2023.100818

Štambuk, M., Maričić, A., & Hanzec, I. (2015). Cheating is unacceptable, but… Teachers' perceptions of and reactions to students' cheating at schools and universities. Croatian Journal of Education, 17(4), 259-288. https://hrcak.srce.hr/153248.

Kukolja Taradi, S., Taradi, M., & Dogas, Z. (2012). Croatian medical students see academic dishonesty as an acceptable behaviour: a cross-sectional multicampus study. Journal of Medical Ethics, 38(6), 376-379. DOI: https://doi.org/10.1136/medethics-2011-100015

Vaccino-Salvadore, S. (2023). Exploring the ethical dimensions of using ChatGPT in language learning and beyond. Languages, 8(3). DOI: https://doi.org/10.3390/languages8030191

Walker, M., & Townley, C. (2012). Contract cheating: A new challenge for academic honesty? Journal of Academic Ethics, 10(1), 27-44. DOI: https://doi.org/10.1007/s10805-012-9150-y

Yilmaz, R., Karaoglan Yilmaz, F. G. (2023). Augmented intelligence in programming learning: Examining student views on the use of ChatGPT for programming learning.Computers in Human Behavior: Artificial Humans, 1(2). DOI: https://doi.org/10.1016/j.chbah.2023.100005

Published
2023-12-30
How to Cite
ČrčekN., & PatekarJ. (2023). Writing with AI: University Students’ Use of ChatGPT. Journal of Language and Education, 9(4), 128-138. https://doi.org/10.17323/jle.2023.17379