Guarding Integrity: A Case Study on Tackling AI-Generated Content and Plagiarism in Academic Writing

Authors

  • Emad A. Alawad Modern College of Business and Science
  • Hazar H. Ayadi Modern College of Business and Science
  • Arwa A. Alhinai Modern College of Business and Science

DOI:

https://doi.org/10.17507/tpls.1506.02

Keywords:

Artificial Intelligence, plagiarism, Academic Integrity, EFL assessments, educational strategies

Abstract

Artificial intelligence presents both opportunities and challenges for academic integrity. While it assists in identifying dishonest behavior, it also raises ethical questions about privacy and surveillance. This study analyzed AI-generated content and plagiarism rates in freshman writing assessments submitted to Turnitin, examining the factors influencing these rates and students' perceptions. Using a descriptive-analytical approach, two key questions were posed regarding plagiarism and AI-generated content in online submissions and the characteristics of the participants involved. An analysis of 50 essays revealed average plagiarism rates of 11% and 14%, alongside AI usage rates of 38% and 49%. Additionally, a demographic analysis and a survey involving 65 students from the ENG102 advanced writing course were conducted to assess their attitudes toward plagiarism and AI-generated content, highlighting significant academic integrity concerns. The findings indicate that students valued academic integrity but were divided on whether the use of AI constitutes cheating or provides an academic boost to their studies. Interviews with five teachers revealed significant demographic and contextual factors influencing plagiarism. The study concluded with recommendations to foster integrity and transparency, emphasizing academic integrity as a core institutional value.

Author Biographies

Emad A. Alawad, Modern College of Business and Science

Department of General Education

Hazar H. Ayadi, Modern College of Business and Science

Department of General Education

Arwa A. Alhinai, Modern College of Business and Science

Department of General Education

References

Ahmad, T. S. A. S., Abedin, N. F. Z., Ahmad, I., & Paramasivam, S. (2022). Awareness and attitudes of undergraduate students towards plagiarism: Are there any differences between genders? Asian Journal of University Education, 18(3), 189-204. https://doi.org/10.24191/ajue.v18i3.18947

Alawad, E. A. (2025). AI-driven analysis: A case study on assessing argumentation proficiency and skill development through sequential submissions. Linguistic and Philosophical Investigations, 24(1), 108-117. Retrieved March 18, 2025, from https://philolinginvestigations.com/

Alawad, E. A., & Hamid, F. A. (2025). Comparative analysis of feedback practices and perspectives in online academic writing assessments at two regional tertiary institutions. World Journal of English Language, 15(4), 327. https://doi.org/10.5430/wjel.v15n4p327

Alawad, E. A. (2024). Synecdoche-related comprehension challenges for Modern College of Business and Science EFL students: A case study. Journal of Language Teaching and Research, 15(5), 1571-1580. https://doi.org/10.17507/jltr.1505.18

Babaii, E., & Nejadghanbar, H. (2017). Plagiarism Among Iranian Graduate Students of Language Studies: Perspectives and Causes. Ethics & Behavior, 27(3), 240–258. https://doi.org/10.1080/10508422.2016.1138864

Bealle, P. (2017). Community college academic integrity lessons that put research into practice. Theory Pract., 56, 144–155.

Black, K. (2010). Business Statistics: Contemporary Decision Making (6th ed.). John Wiley & Sons.

Bhatti, N. (2019). The relationship between technology and assessment in maintaining academic integrity. Journal of Educational Technology and Assessment, 14(1), 67–82.

Bretag, T., Mahmud, S., Wallace, M., Walker, R., McGowan, U., East, J., … James, C. (2014). ‘Teach us how to do it properly!’ An Australian academic integrity student survey. Studies in Higher Education, 39(7), 1150–1169. https://doi.org/10.1080/03075079.2013.777406

Brown, A. (2018). Understanding postgraduate students’ perceptions of plagiarism: A case study. Journal of Academic Ethics, 16(2), 123–135.

Brown, E. (2018). Gender Differences and the Awareness of Plagiarism in Higher Education. Social Psychology of Education: An International Journal. Retrieved February 6, 2025, from https://link.springer.com/article/10.1007/s11218-017-9421-y.

Bulwik, M. (2004). La evaluación de los aprendizajes y el portafolios. Educación Química, 15, 104-107 https://doi.org/10.22201/fq.18708404e.2004.2.66195

Chapelle, C. A. & Voss, E. (2016). 20 years of technology and language assessment in Language Learning and technology. Language Learning & Technology, 20(2), 116Ð128. http://dx.doi.org/10125/44464.

Cheng, L., Sun, Y., & Ma, J. (2015). Review of washback research literature within Kane’s argument-based validation framework. Language Teaching, 48(4), 436–470. https://doi.org/10.1017/S0261444815000233

Choudhuri, S., Kim, J., Yu, S., Detrick, R., & Li, N. (2023). Exploring students’ perspectives on Generative AI-assisted academic writing. Education and Information Technologies. Retrieved February 6, 2025, from https://link.springer.com/article/10.1007/s10639-024-12878-7.

Eliott, L. (2023). Advantages and Disadvantages of AI in the EFL Classroom. At the Asian Conference on Education 2023 Official Conference Proceedings. The International Academic Forum. Retrieved February 6, 2025, from www.iafor.org.

Fakhri, A. A., Ghodke, A. D., & Singh, G. (2010). Effect of wavelength shifter on Indus-1. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 613(1), 169-176.

Georgiou, M. (2024). Fostering Critical Thinking Skills for an AI-Infused World: A Comprehensive Toolkit. Harvard Graduate School of Education. Retrieved February 6, 2025, from https://mepli.gse.harvard.edu/our-fellows-at-work/fostering-critical-thinking-skills-for-an-ai-infused-world-a-comprehensive-toolkit/.

Gezgin, U. B. (2023). Confronting Plagiarism in Academia: Turnitin and Beyond. In International Research and Reviews in Educational Sciences. Serüven.

Ghaffari, M. (2009). Instant gratification and culture of academic dishonesty: Implications of trinity paradigm of intelligence in developing a culture of integrity. The International Journal of Interdisciplinary Social Sciences: Annual Review, 3(10), 89–102. https://doi.org/10.18848/1833-1882/CGP/v03i10/52736

Goda, Y., Yamada, M., Matsukawa, H., & Yasunami, S. (2014). Conversation with a Chatbot before an Online EFL Group Discussion and the Effects on Critical Thinking. The Journal of Information and Systems in Education, 13(1), 1-7. https://doi.org/10.12937/ejsise.13.1

Harvard Graduate School of Education. (2020). Ethical dilemmas in education: A framework for discussion. Retrieved February 6, 2025, from https://www.gse.harvard.edu.

Harvard University. (2024). What constitutes plagiarism? Harvard Guide to Using Sources. Retrieved February 6, 2025, from https://usingsources.fas.harvard.edu/what-constitutes-plagiarism-0.

Hendy, N. T., Montargot, N., & Papadimitriou, A. (2021). Cultural Differences in Academic Dishonesty: A Social Learning Perspective. Journal of Academic Ethics, 19(49-70). DOI: 10.1007/s10805-021-09391-8.

Hendy, R. et al. (2021). Cultural factors in academic dishonesty. International Journal of Educational Integrity, 17(1), 23–37.

International Center for Academic Integrity [ICAI]. (2021). The Fundamental Values of Academic Integrity (3rd ed.). Retrieved February 8, 2025, from https://academicintegrity.org/the-fundamental-values-of-academic-integrity https://academicintegrity.org/the-fundamental-values-of-academic-integrity.

Jereb, E., Urh, M., Jerebic, J., & Šprajc, P. (2018). Gender differences and the awareness of plagiarism in higher education. Social Psychology of Education, 21(2), 409-426. https://doi.org/10.1007/s11218-017-9421-y

Jiang R (2022). How does artificial intelligence empower EFL teaching and learning nowadays? A review of artificial intelligence in the EFL context. Front. Psychol. 13:1049401. doi 10.3389/fpsyg.2022.1049401

Johnson, A. (2022). Understanding plagiarism in the digital age. Educational Review, 30(4), 112–130.

Johnson, M., & Lee, A. (2021). The impact of artificial intelligence tools on academic writing instruction in higher education: A systematic review. Arab World English Journal, Special Issue on ChatGPT, April 2024. Retrieved February 7, 2025, from https://ssrn.com/abstract=4814342.

Johnson, R. (2022). Integrating Artificial Intelligence (AI) in Language Teaching. International Journal of Learning, Teaching and Educational Research, 21(4), 45–58.

Jones, D., & Sheridan, L. (2015). Factors influencing plagiarism in higher education: A comparison of demographic factors. International Journal of Educational Integrity, 11(1), 45-60.

Juma, A., & Fahmy, M. (2013). The new classifications of tools designed for comparing the similarity of documents have improved the efficiency and quality of evaluating the originality of texts, supporting academics and moral success. Journal of Academic Integrity, 12(3), 45-58.

Kim, J., Yu, S., Detrick, R., & Li, N. (2024). Exploring students’ perspectives on Generative AI-assisted academic writing. Education and Information Technologies. Retrieved January 23, 2025, from https://link.springer.com/article/10.1007/s10639-024-12878-7.

Kocaman, A. M. (2023, October 7). How to measure text similarity: A comprehensive guide. Retrieved January 19, 2025, from https://medium.com/@ahmetmnirkocaman/how-to-measure-text-similarity-a-comprehensive-guide-6c6f24fc01fe.

Lee, S. (2021). Transforming School EFL Teaching with AI: A Systematic Review. Educational Technology & Society, 24(3), 67–80.

Löfström, E., Trotman, T., Furnari, M. et al. (2015). Who teaches academic integrity, and how do they teach it? High Educ, 69, 435–448. https://doi.org/10.1007/s10734-014-9784-3

Mahato, R., Thenmozhi, M., & Javeen, M. U. (2023). Artificial intelligence language learning and communication: Exploring the intersection of technology and education. L Ordine Nuovo Publication. ISBN 978-93-92995-51-4.

Mittelstadt, M. (2024). Four teaching practices that promote academic integrity. International Center for Academic Integrity. Retrieved December 27, 2024, https://academicintegrity.org/resources/blog/126-2024/march-2024/494-four-teaching-practices-that-promote-academic-integrit.

Morris, E. J. (2023). Integrating Academic Integrity: An Educational Approach. In: Eaton, S.E. (eds). Handbook of Academic Integrity. Springer, Singapore. https://doi.org/10.1007/978-981-287-079-7_96-1

Mulenga, R., & Shilongo, H. (2024). Academic Integrity in Higher Education: Understanding and Addressing Plagiarism. Acta Pedagogia Asiana, 3(1). https://doi.org/10.53623/apga.v3i1.337

Nejadghanbar, H. (2016). Ethical considerations and the necessity of transparency in academic endeavors. Journal of Academic Ethics, 11(3), 145-159.

Nimehchisalem, V., & Bhatti, N. (2019a). A literature review on language assessment literacy in the last two decades (1999-2018). International Journal of Innovation, 8(11), 44–59.

Nketsiah, I., Imoro, O., Barfi, K. A., & Amenorvi, C. R. (2023). Academic integrity: Do socio-demographic differences in perception and awareness of plagiarism matter? Cogent Education, 10(2). DOI: 10.1080/2331186X.2023.2273175. License CC BY 4.0.

Nketsiah, P., et al. (2023). Demographic factors in plagiarism and AI content generation. Academic Integrity Journal, 12(3), 89-105.

Nucci, L. P. (2001). Education in the moral domain. Cambridge University Press. Retrieved from https://doi.org/10.1017/CBO9780511605987.

Obeidat, R., Shannak, R., Masa'deh, R., & Al-Jarrah, I. (2016). Teaching students enough of the right content to maintain their integrity is important. International Journal of Educational Research, 15(4), 89-102.

Oxford University. (2024). Plagiarism. University of Oxford. Retrieved December 29, 2024, from https://www.ox.ac.uk/students/academic/guidance/skills/plagiarism.

Perrone, M., & College, H. (2011). The effect of classroom-based assessment and language processing on the second language acquisition of EFL students. Journal of Adult Education, 40(1), 20-33.

Richards, D., Saddiqui, S., White, F., McGuigan, N., & Homewood, J. (2016). A theory of change for student-led academic integrity. Quality in Higher Education, 22(3), 242–259. https://doi.org/10.1080/13538322.2016.1265849

Seth, N. (2024, February 19). A simple guide to metrics for calculating string similarity. Retrieved January 26, 2025, from https://www.analyticsvidhya.com/blog/2021/02/a-simple-guide-to-metrics-for-calculating-string-similarity.

Smith, J. (2022). How to deal with AI-powered writing tools in academic writing: A stakeholder analysis. CELDA 2023 Conference Proceedings. Retrieved February 10, 2025, from https://files.eric.ed.gov/fulltext/ED636597.pdf.

Smith, J. (2023). Integrating AI in English Language Pedagogy: Innovations and Outcomes. Journal of Language Teaching and Research, 14(2), 123–135.

Smith, J., Brown, A., & Williams, R. (2020). Perceptions of and attitudes toward plagiarism and factors contributing to plagiarism: A review of studies. Journal of Higher Education Policy and Management, 42(3), 245–260.

Smith, J., Yu, S., Detrick, R., & Li, N. (2020). Pressure to Plagiarize and the Choice to Cheat: Toward a Pragmatic Reframing of the Ethics of Academic Integrity. Education Sciences. Retrieved January 2025, from https://www.mdpi.com/2227-7102/14/3/244.

Smith, L. (2023). Ease of access to information and educational gaps. Information Science Today, 19(3), 34–50.

Söğüt, S. (2024). Generative artificial intelligence in EFL writing: A pedagogical stance of pre-service teachers and teacher trainers. Focus on ELT Journal, 6(1), 58–73. https://doi.org/10.14744/felt.6.1.5

Thompson, G., et al. (2017). Perceptions of plagiarism among international students. Journal of Academic Ethics, 15(2), 67–82.

Thompson, L. W., Bagby, J. H., Sulak, T. N., & Sheets, J. (2017). The Cultural Elements of Academic Honesty. Journal of International Students, 7(1), 136–153. DOI: 10.32674/jis. v7i1.249. License CC BY-NC-ND.

Walker, C., & White, M. (2014). Police, design, plan, and manage developing a framework for integrating staff roles and institutional policies into a plagiarism prevention strategy. Journal of Higher Education Policy and Management, 36(6), 674–687. https://doi.org/10.1080/1360080X.2014.957895

Wei, L. (2023). Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology. Retrieved December 23, 2024, from https://link.springer.com/article/10.1007/s10639-024-12574-6.

White, J. D. (2023, November 6). Academic Integrity in the Age of AI. Retrieved January 17, 2025, from https://er.educause.edu/.

Williams, E. (2019). Integrating Academic Integrity: An Educational Approach. Springer. Retrieved February 1, 2025, from https://link.springer.com/content/pdf/10.1007/978-981-287-079-7_96-1.pdf.

Williams, R. (2019). Plagiarism in academic writing in higher education institutions: A bibliometric analysis. Studies in Higher Education, 44(4), 567–584.

Witchel, H. T., Guppy, J. H., & Smith, C. F. (2018). The Self-Assessment Dilemma: An Open-Source, Ethical Method Using MATLAB to Formulate Multiple-Choice Quiz Questions for Online Reinforcement. Advances in Physiology Education, pp. 4, 697–703. https://doi.org/10.1152/advan.00081.2018.

Yilmaz, M., & Bertram Gallant, T. (2017). Clear expectations, positive classroom management, and other teaching practices greatly assist in upholding integrity in academic work. Journal of Educational Integrity, 13(2), 123-137.

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Published

2025-06-01

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