The Impact of AI Writing Tools on Academic Integrity: Unveiling English-Majored Students’ Perceptions and Practical Solutions

Authors

DOI:

https://doi.org/10.54855/acoj.251615

Keywords:

AI writing tools, academic integrity, perceptions, solutions

Abstract

The emergence of artificial intelligence (AI) tools has brought a multitude of benefits to many academic practices, particularly in the field of English Language Teaching. Nonetheless, they also present concerns regarding academic integrity. This research aims to explore how English-majored students at Ho Chi Minh University of Foreign Languages – Information Technology (HUFLIT) perceive the influence of AI writing tools on their academic honesty. This study also proposes some practical solutions that students might employ to maintain the authenticity of their work. Conducted in the summer semester (May to August), the participants were 114 English-majored seniors at HUFLIT. Data was collected through surveys and semi-structured interviews, which were analyzed using thematic analysis to identify students’ perceptions, challenges, and solutions. The findings indicated a broad spectrum of students’ perceptions towards the given concern, emphasizing that comprehensive guidelines and educational programs are important to implement AI writing tools responsibly. Additionally, some practical solutions, entailing institutional support, plagiarism checker, and ethical writing practices were identified at the end of the paper.

Author Biographies

Bui Thi Thao Uyen, Ho Chi Minh City University of Foreign Languages and Information Technology, Vietnam

Bui Thi Thao Uyen (https://orcid.org/0009-0004-7799-7598) is an experienced English lecturer with over 10 years of experience. She earned her Master’s degree in Education at the University of Southern Queensland in 2013, gaining immense specialist knowledge and practical teaching experience. Currently, she is working as a lecturer at HCMC University of Foreign Languages - Information Technology (HUFLIT). She has attended lots of seminars and workshops for the purpose of obtaining precious teaching experience and updating new methodologies. Her research areas of interest are mainly in Task and Project-Based Language Teaching (TBLT/PBLT), Learning Motivation, Engagement, and Learner Autonomy. Passionate about creating a positive learning environment, she empowers students to become active learners. Her motto is ‘work smarter, not harder’.

Tong Tan Vinh An, Ho Chi Minh City University of Foreign Languages and Information Technology, Vietnam

Tong Tan Vinh An (https://orcid.org/0009-0000-7550-4068), from Vietnam, is presently an English lecturer at HCMC University of Foreign Languages and Information Technology. Earned a TESOL MA degree in 2016. Proficient in English language instruction with over 7 years of teaching across all levels. Having research interests of English Language Learning Methodologies, Language Assessment and Evaluation, Technology Integration in Language Education. Aim at creating engaging learning environments and optimizing students' performance.

References

Adiguzel, T., & Orhan, H. (2023). Teachers’ reflections on academic dishonesty in EFL students’ writings in the era of artificial intelligence. Academia. Retrieved from https://www.academia.edu/108028198

Alexander, K., Savvidou, C., & Alexander, C. (2023). Who wrote this essay? Detecting ai-generated writing in second language education in higher education. Teaching English with Technology, 23(2), 25–43. https://doi.org/10.56297/BUKA4060/XHLD5365 DOI: https://doi.org/10.56297/BUKA4060/XHLD5365

Alharbi, W. (2023). The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom : An exploratory study. Journal of Education and E-Learning Research, 10(4), 689–701. https://doi.org/10.20448/jeelr.v10i4.5091 DOI: https://doi.org/10.20448/jeelr.v10i4.5091

Aljuaid, H. (2024). The Impact of Artificial Intelligence Tools on Academic Writing Instruction in Higher Education: A Systematic Review. Arab World English Journal (AWEJ) Special Issue on ChatGPT. DOI: https://doi.org/10.31235/osf.io/ph24v

Bin-Nashwan, S. A., Sadallah, M., & Bouteraa, M. (2023). Use of ChatGPT in academia: Academic integrity hangs in the balance. Technology in Society, 102370. https://doi.org/10.1016/j.techsoc.2023.102370 DOI: https://doi.org/10.1016/j.techsoc.2023.102370

Bretag, Tracey, ‘Academic Integrity’ in Academic Integrity (Oxford University Press, 2018) DOI: https://doi.org/10.1093/acrefore/9780190224851.013.147

Burkhard, M. (2022, November 8). Student Perceptions of AI-Powered Writing Tools: towards Individualized teaching Strategies. https://doi.org/10.33965/celda2022_202207l010 DOI: https://doi.org/10.33965/CELDA2022_202207L010

Byrne, D. (1992). Teaching writing skills. Addison-Wesley Longman Ltd.

Cabal, R. (2022). Limitations of AI writing tools: Addressing tone, context, and audience appropriateness. Journal of Digital Literacy in Education, 15(4), 45–58. Retrieved from https://rommelcabal.com/limitations-of-ai-writing-tools

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3 DOI: https://doi.org/10.1186/s41239-023-00408-3

Chan, L., & Lee, T. (2023). Ethical implications of AI-generated assignments: Challenges and strategies for teachers. Journal of Language and Technology. Retrieved from https://journals.sfu.ca/jalt/index.php/jalt/article/view/921

Chan, R. (2023). AI-giarism: Exploring students’ perceptions of AI-assisted plagiarism. Retrieved from https://link.springer.com/article/10.1007/s10639-024-13151-7

Chan, R., & Hu, T. (2023). University students' perceptions of generative AI technologies in higher education. arXiv. https://arxiv.org/abs/2305.00290

Chang, T. S., Li, Y., Huang, H. W., & Whitfield, B. (2021, March). Exploring EFL students' writing performance and their acceptance of AI-based automated writing feedback. In Proceedings of the 2021 2nd International Conference on Education Development and Studies (pp. 31-35). https://doi.org/10.1145/3459043.3459065 DOI: https://doi.org/10.1145/3459043.3459065

Cong-Lem, N., Tran, T. N., & Nguyen, T. T. (2024). Academic integrity in the age of generative ai: perceptions and responses of Vietnamese EFL teachers. Teaching English with Technology, 24(1), 28–47. https://doi.org/10.56297/FSYB3031/MXNB7567 DOI: https://doi.org/10.56297/FSYB3031/MXNB7567

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, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148 DOI: https://doi.org/10.1080/14703297.2023.2190148

Cummings, R. E., Monroe, S. M., & Watkins, M. (2024). Generative AI in first-year writing: An early analysis of affordances, limitations, and a framework for the future. Computers & Composition/Computers and Composition, 71, 102827. https://doi.org/10.1016/j.compcom.2024.102827 DOI: https://doi.org/10.1016/j.compcom.2024.102827

Denisova-Schmidt, E. (2017). The Challenges of Academic Integrity in Higher Education: Current trends and Prospects. https://www.alexandria.unisg.ch/251258/

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., et al. (2023). Opinion paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges, and implications of generative conversational AI for research, practice, and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642 DOI: https://doi.org/10.1016/j.ijinfomgt.2023.102642

Elkhatat, A. M. (2023). Evaluating the authenticity of ChatGPT responses: a study on text-matching capabilities. International Journal for Educational Integrity, 19(1). https://doi.org/10.1007/s40979-023-00137-0 DOI: https://doi.org/10.1007/s40979-023-00137-0

Fareed, M., Ashraf, A., & Bilal, M. (2016). ESL Learners’ writing skills: Problems, factors and suggestions. Journal of Education & Social Sciences, 4(2), 83–94. https://doi.org/10.20547/jess0421604201 DOI: https://doi.org/10.20547/jess0421604201

Fitria, T. N. (2023). ProWritingAid as AI-Powered Writing Tools: The Performance in Checking Grammar and Spelling of Students’ Writing. Polingua (Scientific Journal of Linguistics, Literature and Language Education, 12(2), 65-75.

Garg, P. (2024). The impact of AI writing tools on the content and organization of students' writing. International Journal of Humanities Social Science and Management (IJHSSM), 4(3), 54-59. Retrieved from https://www.ijhssm.org

Ghafar et al., 2023. The role of Artificial intelligence technology on English Language Learning: a literature review. Canadian Journal of Language and Literature Studies, 3(2). https://doi.org/10.53103/cjlls.v3i2.87 DOI: https://doi.org/10.53103/cjlls.v3i2.87

Gültekin Talayhan, Ö., Babayiğit, M., & Öğrenci, Y. Z. Y. A. (2023). The influence of AI writing tools on the content and organization of students’ writing: A focus on EFL instructors’ perceptions. CUDES Current Debates in Social Sciences, 6(2), 83-93. DOI: https://doi.org/10.29228/cudes.71701

Herbold, S., Schäfer, M., & Schneider, K. (2023). Evaluating the quality and detectability of ChatGPT-generated essays. arXiv preprint. Retrieved from https://arxiv.org/abs/2304.14276

Huang, H.-W., Li, Z., & Taylor, L. (2020). The Effectiveness of Using Grammarly to Improve Students’ Writing Skills. In Proceedings of the 5th International Conference on Distance Education and Learning, 122–127. DOI: https://doi.org/10.1145/3402569.3402594

Huang, J., & Tan, M. (2023). The role of ChatGPT in scientific communication: writing better scientific review articles. PubMed, 13(4), 1148–1154. https://pubmed.ncbi.nlm.nih.gov/37168339

Hyland, K. (2003). Second language writing. https://doi.org/10.1017/cbo9780511667251 DOI: https://doi.org/10.1017/CBO9780511667251

International Center for Academic Integrity (ICAI). (2014). The Fundamental Values of Academic Integrity. Retrieved from https://www.academicintegrity.org/fundamental-values/

Ibrahim, H., Othman, S., & Abdullah, N. (2023). Challenges in detecting AI-generated content: A comparison of ChatGPT and student-generated texts. arXiv preprint. Retrieved from https://arxiv.org/abs/2305.13934

Ismail, A. A. M. (2024). Over-reliance on AI tools in academic writing: Impacts on creativity and academic integrity among Malaysian undergraduates. PASAK Proceedings. Retrieved from https://conference.uis.edu.my/pasak/images/eprosiding/eng/pasak92024-024-_AINA_AL_MARDHIA_ISMAIL.pdf

Jacob, S., Tate, T., & Warschauer, M. (2023). Emergent AI-Assisted Discourse: Case Study of a Second Language Writer Authoring with ChatGPT. arXiv preprint. https://doi.org/10.48550/arXiv.2310.10903 DOI: https://doi.org/10.1515/jccall-2024-0011

Jin, W. (2023). The Impact of Automated Writing Evaluation on Second Language Writing Development: A Mixed-Methods Study. Frontiers in Psychology.

K.S. McCarthy et al. (2022). Automated writing evaluation: Does spelling and grammar feedback support high-quality writing and revision? Assessing Writing, 52, Article 100608. Retrieved from Eric : https://files.eric.ed.gov/fulltext/ED620063.pdf DOI: https://doi.org/10.1016/j.asw.2022.100608

Khreisat, M. N. (2024). Ethical Implications Of AI Integration In Educational Decision Making: Systematic Review. EducationalAdministration: Theory and Practice, 30(5), 8521–8527. https://doi.org/10.53555/kuey.v30i5.4406 DOI: https://doi.org/10.53555/kuey.v30i5.4406

Mahapatra, S. K. (2024). ChatGPT as a formative feedback tool: A mixed-methods intervention study with undergraduate ESL students. Smart Learning Environments, 11(1), 1-15. https://doi.org/10.1186/s40561-024-00295-9 DOI: https://doi.org/10.1186/s40561-024-00295-9

Mahdi, H. S., & Sahari, Y. M. (2024). Exploring the relationship between critical thinking, attitude, and anxiety in shaping the adoption of artificial intelligence in translation among Saudi translators. Journal of Pedagogical Research, 8(2), 81–94. https://doi.org/10.33902/JPR.202423345 DOI: https://doi.org/10.33902/JPR.202423345

Mahlow, C. (2023). Large language models and artificial intelligence as tools for teaching and learning writing. Osnabrücker Beiträge Zur Sprachtheorie, 101, 175–196. https://doi.org/10.17192/obst.2023.101.8607

Marrone, R., Taddeo, V., & Hill, G. (2022). Creativity and Artificial Intelligence—A student perspective. Journal of Intelligence, 10(3), 65. https://doi.org/10.3390/jintelligence10030065 DOI: https://doi.org/10.3390/jintelligence10030065

Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2). https://doi.org/10.1080/2331186x.2023.2236469 DOI: https://doi.org/10.1080/2331186X.2023.2236469

Mohammad, T., & Hazarika, Z. (2016). Difficulties of Learning EFL in KSA: Writing Skills in context. International Journal of English Linguistics, 6(3), 105. https://doi.org/10.5539/ijel.v6n3p105 DOI: https://doi.org/10.5539/ijel.v6n3p105

Mohammadkarimi, E. (2023). Teachers’ reflections on academic dishonesty in EFL students’ writings in the era of Artificial Intelligence. Journal of Applied Learning & Teaching, 6(2) , 105-113. https://doi.org/10.37074/jalt.2023.6.2.10 DOI: https://doi.org/10.37074/jalt.2023.6.2.10

Moses, R. and Mohamad, M. (2019) Challenges Faced by Students and Teachers on Writing Skills in ESL Contexts: A Literature Review. Creative Education, 10, 3385-3391. doi: 10.4236/ce.2019.1013260. DOI: https://doi.org/10.4236/ce.2019.1013260

Nykyporets, S. S. (2023). Digital technologies and academic integrity: exploring challenges and opportunities in the contemporary educational landscape. Матеріали науково-практичного семінару «Академічна доброчесність: практичний досвід». Вип. 4: 75-90.

Parra G., L., & Calero S., X. (2019). Automated Writing Evaluation Tools in the Improvement of the Writing Skill. International Journal of Instruction, 12(2), 209-226. https://doi.org/10.29333/iji.2019.12214a DOI: https://doi.org/10.29333/iji.2019.12214a

Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching & Learning Practice, 20(2). https://doi.org/ 10.53761/1.20.02.07 DOI: https://doi.org/10.53761/1.20.02.07

Pham, V. P. H., & Le, A. Q. (2024). ChatGPT in Language Learning: Perspectives from Vietnamese Students in Vietnam and the USA. International Journal of Language Instruction, 3(2), 59-72. https://doi.org/10.54855/ijli.24325 DOI: https://doi.org/10.54855/ijli.24325

Phan, T. N. L. (2023). Students’ perceptions of the AI Technology Application in English writing classes. Proceedings of the AsiaCALL International Conference, 4, 45–62. https://doi.org/10.54855/paic.2344 DOI: https://doi.org/10.54855/paic.2344

Pudasaini, S., Sharma, A., & Khadka, S. (2024). Academic integrity in the age of large language models: Challenges and solutions. arXiv preprint. Retrieved from https://arxiv.org/abs/2407.13105

Rao, P. S. (2019). The importance of english in the modern era. Asian Journal of Multidimensional Research, 8(1), 7. https://doi.org/10.5958/2278-4853.2019.00001.6 DOI: https://doi.org/10.5958/2278-4853.2019.00001.6

Rasia, E. M., & Ausensi, J. (2020). Intransitive causatives in English: Productivity regularities and asymmetries. Proceedings of Sinn Und Bedeutung, 24(2), 38–55. https://doi.org/10.18148/sub/2020.v24i2.885

Selim, A. S. M. (2024). The Transformative Impact of AI-Powered Tools on Academic Writing: Perspectives of EFL University students. International Journal of English Linguistics, 14(1), 14. https://doi.org/10.5539/ijel.v14n1p14 DOI: https://doi.org/10.5539/ijel.v14n1p14

Spivakovsky, O. V., Omelchuk, S. A., Kobets, V. V., Valko, N. V., & Malchykova, D. S. (2023). Institutional Policies on Artificial Intelligence in University Learning, Teaching and Research. Information Technologies and Learning Tools, 97(5), 181–202. https://doi.org/10.33407/itlt.v97i5.5395 DOI: https://doi.org/10.33407/itlt.v97i5.5395

StackRoute. (2023, July 3). The evolution of natural language processing: from rule-based systems to transformers. https://www.linkedin.com/pulse/evolution-natural-language-processing-from-rule-based-systems

Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Students’ perceptions of the use of AI in a writing class. Advances in Social Science, Education and Humanities Research/Advances in Social Science, Education and Humanities Research. https://doi.org/10.2991/assehr.k.220201.009 DOI: https://doi.org/10.2991/assehr.k.220201.009

Sutrisno, A. (2020). The accuracy and shortcomings of Google Translate translating English sentences to Indonesian. Education Quarterly Reviews, 3(4), 555–568. Available at SSRN: https://ssrn.com/abstract=3747888 DOI: https://doi.org/10.31014/aior.1993.03.04.161

Tambunan, A. R. S., Andayani, W., Sari, W. S., & Lubis, F. K. (2022). Investigating EFL students’ linguistic problems using Grammarly as automated writing evaluation feedback. Indonesian Journal of Applied Linguistics, 12(1), 16–27. https://doi.org/10.17509/ijal. v12i1.46428 DOI: https://doi.org/10.17509/ijal.v12i1.46428

Tertiary Education Quality and Standards Agency. (2020, October 28). What is academic integrity? Tertiary Education Quality and Standards Agency. https://www.teqsa.gov.au/what-academic-integrity

Tran, T. T. H. (2024). AI tools in teaching and Learning English Academic writing skills. Proceedings of the AsiaCALL International Conference, 4, 170–187. https://doi.org/10.54855/paic.23413 DOI: https://doi.org/10.54855/paic.23413

Utami, P., Lokita Mahardika, I. G. A., & Wijaya, I. G. N. A. (2023). Grammarly and grammatical errors reduction: A case for non-native English teachers' professional learning. International Journal of Language Education, 7(2), 227-240. DOI: https://doi.org/10.26858/ijole.v7i2.46431

Utami, S. P. T., Andayani, A., Winarni, R., & Sumarwati, S. (2023). Utilization of artificial intelligence technology in an academic writing class: How do Indonesian students perceive? Contemporary Educational Technology, 15(4), ep450. https://doi.org/10.30935/cedtech/13419 DOI: https://doi.org/10.30935/cedtech/13419

Wang, C. (2024). Exploring Students’ Generative AI-Assisted Writing Processes: Perceptions and Experiences from Native and Nonnative English Speakers. Technology Knowledge and Learning, 1-22. https://doi.org/10.1007/s10758-024-09744-3 DOI: https://doi.org/10.1007/s10758-024-09744-3

Wang, S., Xu, T., Li, H., Zhang, C., Liang, J., Tang, J., Yu, P. S., & Wen, Q. (2024). Large Language Models for Education: A Survey and outlook. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2403.18105

Woo, K., et al. (2023). Attitudes toward machine-in-the-loop writing: A study of EFL students and AI technologies. arXiv. https://arxiv.org/abs/2307.13699

Yang, H. (2018). Efficiency of online grammar checker in English writing performance and students’ perceptions. Korean Journal of Language Education and Linguistics, 18(3), 328-348. DOI: https://doi.org/10.15738/kjell.18.3.201809.328

Yusuf, A., Pervin, N. & Román-González, M. (2024). Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives. International Journal of Educational Technology in Higher Education, 21. https://doi.org/10.1186/s41239-024-00453-6 DOI: https://doi.org/10.1186/s41239-024-00453-6

Zhou, X., Zhang, J., & Chan, C. (2024). Unveiling students’ experiences and perceptions of artificial intelligence usage in higher education. Journal of University Teaching and Learning Practice, 21(06). https://doi.org/10.53761/xzjprb23 DOI: https://doi.org/10.53761/xzjprb23

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Published

27-01-2025

How to Cite

Bui, T. T. U., & Tong, T. V. A. (2025). The Impact of AI Writing Tools on Academic Integrity: Unveiling English-Majored Students’ Perceptions and Practical Solutions. AsiaCALL Online Journal, 16(1), 83–110. https://doi.org/10.54855/acoj.251615

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