Expressing Ideas: AI-Integrated Paraphrasing to Students’ Writing Skills
Jake C. Malon , Jay-an Virtudazo , Wenjan Vallente , Lourdes Ayop , Ma. Faith O. Malon
The main thrust of the study was to explore the third-year English student’s sentiments on the application of the artificial intelligence (AI)-i.
- Pub. date: November 15, 2024
- Online Pub. date: September 09, 2024
- Pages: 531-542
- 409 Downloads
- 1449 Views
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The main thrust of the study was to explore the third-year English student’s sentiments on the application of the artificial intelligence (AI)-integrated paraphrasing tools. Specifically, it aimed to investigate the benefits and drawbacks brought by AI paraphrasing tools towards the writing skills of the students. The investigation utilized a semi-structured interviews with an open-ended questionnaire using an audio-video recorder. The data gathered were interpreted using the Thematic Analysis of Braun and Clarke. The study was carried out at one of the campuses of a state university located at Candijay, Bohol, Philippines. Using the Purposive sampling technique, twelve (12) respondents provided information on the research endeavor. The findings revealed that students had a positive opinion of AI-integrated paraphrase tools: they saw them as helpful resources that significantly improve their academic writing process; it includes plagiarism reduction, efficiency, and timesaving, and aids in rephrasing text. The findings also revealed the risks and issues of using AI-integrated paraphrasing tools, such as Prone to plagiarism, automated suggestions dependency, and loss of original meaning and context. With that, the students showed how they deal with those risks and issues, including as responsible users and thorough editing and reviewing. In accordance with the study, students are encouraged not to rely excessively on AI-integrated paraphrase tools, even though they can improve their writing abilities. This research emphasizes that students play a pivotal role in ensuring the appropriateness of texts generated by AI-integrated paraphrasing tools by mastering the art of proper paraphrasing.
Keywords: AI, artificial intelligence, paraphrasing, phenomenology, writing skills.
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References
Adams, D., & Chuah, K.-M. (2022). Artificial intelligence-based tools in research writing: Current trends and future potentials. In P. P. Churi, S. Joshi, M. Elhosenny, & A. Omrane (Eds.), Artificial intelligence in higher education (pp. 169-184). CRC Press. https://doi.org/10.1201/9781003184157
Alaofi, A. O. (2020). Difficulties of summarizing and paraphrasing in English as a foreign language (EFL); Saudi graduate students’ perspectives. International Journal of English Language Education, 8(2), 193-211. https://doi.org/10.5296/ijele.v8i2.17788
Alian, M., & Awajan, A. (2020). Paraphrasing identification techniques in English and Arabic texts. In 11th International Conference on Information and Communication Systems (ICICS) (pp. 155-160). IEEE. https://doi.org/10.1109/ICICS49469.2020.239485
Ansorge, L., Ansorgeová, K., & Sixsmith, M. (2021). Plagiarism through paraphrasing tools-the story of one plagiarized text. Publications, 9(4), Article 48. https://doi.org/10.3390/publications9040048
Ariyanti, & Anam, S. (2021). Technology-enhanced paraphrasing tool to improve EFL students’ writing achievement and enjoyment. Journal of English Language Teaching and Linguistics, 6(3), 715-726. https://doi.org/10.21462/jeltl.v6i3.698
Bailey, C., & Withers, J. (2018). What can screen capture reveal about students’ use of software tools when undertaking a paraphrasing task? Journal of Academic Writing, 8(2), 176-190. https://doi.org/10.18552/joaw.v8i2.456
Braun, V., & Clarke, V. (2013). Teaching thematic analysis: Overcoming challenges and developing strategies for effective learning. The Psychologist, 26(2), 120-123. https://uwe-repository.worktribe.com/output/937596
Chen, X., Xie, H., & Hwang, G.-J. (2020). A multi-perspective study on artificial intelligence in education: grants, conferences, journals, software tools, institutions, and researchers. Computers and Education: Artificial Intelligence, 1, Article 100005. https://doi.org/10.1016/j.caeai.2020.100005
Dale, R. (2020). Natural language generation: The commercial state of the art in 2020. Natural Language Engineering, 26(4), 481-487. https://doi.org/10.1017/S135132492000025X
Davies, L. J. P., & Howard, R. M. (2016). Plagiarism and the Internet: Fears, facts, and pedagogies. In T. Bretag (Eds.), Handbook of academic integrity (pp. 591-606). Springer. https://doi.org/10.1007/978-981-287-098-8_16
Fitria, T. N. (2021). QuillBot as an online tool: Students’ alternative in paraphrasing and rewriting of English writing. Englisia: Journal of Language, Education, and Humanities, 9(1), 183-196. https://doi.org/10.22373/ej.v9i1.10233
Granitz, N., & Loewy, D. (2007). Applying ethical theories: Interpreting and responding to student plagiarism. Journal of Business Ethics, 72, 293-306. https://doi.org/10.1007/s10551-006-9171-9
Harris, R. A. (2017). Using sources effectively: Strengthening your writing and avoiding plagiarism (5th ed.). Routledge. https://doi.org/10.4324/9781315267067
Hwang, W.-Y., Nurtantyana, R., Purba, S. W. D., Hariyanti, U., Indrihapsari, Y., & Surjono, H. D. (2023). AI and recognition technologies to facilitate English as foreign language writing for supporting personalization and contextualization in authentic contexts. Journal of Educational Computing Research, 61(5), 1008-1035. https://doi.org/10.1177/07356331221137253
Koltovskaia, S. (2020). Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study. Assessing Writing, 44, Article 100450. https://doi.org/10.1016/j.asw.2020.100450
Maguire, M., & Delahunt, B. (2017). Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars. All Ireland Journal of Higher Education, 9(3), 1-14. http://ojs.aishe.org/index.php/aishe-j/article/view/335
Manarpiis, N. B., & Prieto, D. D. P. (2023). Exploring plagiarism: A phenomenological investigation among college students at a state university. ResearchGate. https://bit.ly/4cHwAQ9
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), Article 2236469. https://doi.org/10.1080/2331186x.2023.2236469
Maulidia, N. I. A., & Sulistyaningrum, S. D. (2021). Employing online paraphrasing tools to overcome students’ difficulties in paraphrasing. Stairs, 2(1), 52-59.
Merkel, W. (2020). A case study of undergraduate L2 writers’ concerns with source-based writing and plagiarism. TESOL Journal, 11(3), Article e00503. https://doi.org/10.1002/tesj.503
Muluk, S., Yanis, F. R., Dahliana, S., & Amiruddin, A. (2021). Scrutinizing EFL students’ plagiarism practice. Englisia: Journal of Language, Education, and Humanities, 9(1), 145-164. https://doi.org/10.22373/ej.v9i1.10492
Na, C. D., & Mai, N. X. N. C. (2017). Paraphrasing in academic writing: A case study of Vietnamese learners of English. Language Education in Asia, 8(1), 9-25. https://bit.ly/3Zd3Wm8
Nguyen, T. X. (2023). Using the online paraphrasing tool Quillbot to assist students in paraphrasing the source information: English-majored students’ perceptions. In Proceedings of the 5th Conference on Language Teaching and Learning (pp. 21-27). Ho Chi Minh City University of Food Industry. http://doi.org/10.21467/proceedings.150.3
Niño, A. (2009). Machine translation in foreign language learning: Language learners’ and tutors’ perceptions of its advantages and disadvantages. ReCALL, 21(2), 241-258. https://doi.org/10.1017/s0958344009000172
Pâquet, L. (2021). Publishing processes for a digital age: Crowdsourcing and patronage in online self-publishing. In S. Meekings & M. Moore (Eds.), Creative writing scholars on the publishing trade (1st ed., pp. 7-18). Routledge. https://doi.org/10.4324/9781003041559
Petrić, B. (2015). Legitimate textual borrowing: Direct quotation in L2 student writing. Journal of Second Language Writing, 21(2), 102-117. https://.doi.org/10.1016/j.jslw.2012.03.005
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12, Article 22. https://doi.org/10.1186/s41039-017-0062-8
Prentice, F. M., & Kinden, C. E. (2018). Paraphrasing tools, language translation tools and plagiarism: an exploratory study. International Journal for Educational Integrity, 14, Article 11. https://doi.org/10.1007/s40979-018-0036-7
Rahmayani, S. O. (2018). Students’ difficulties in paraphrasing English texts [Bachelor’s thesis, Ar-Raniry State Islamic University]. CORE. https://core.ac.uk/download/pdf/293472228.pdf
Raja, R., & Nagasubramani, P. C. (2018). Impact of modern technology in education. Journal of Applied and Advanced Research, 3(Suppl. 1), 33-35. https://doi.org/10.21839/jaar.2018.v3iS1.165
Ramadhani, P. (2019). The role of paraphrasing in writing research papers. Alsuna: Journal of Arabic and English Language, 2(2), 117-128. https://bit.ly/3ATPaqs
Rogerson, A. M., & McCarthy, G. (2017). Using internet based paraphrasing tools: Original work, patchwriting or facilitated plagiarism? International Journal for Educational Integrity, 13, Article 2. https://doi.org/10.1007/s40979-016-0013-y
Srivastava, A. P. & Agarwal, S. (2024). Utilizing AI tools in academic research writing. IGI Global. https://doi.org/10.4018/979-8-3693-1798-3
Scanlon, P. M., & Neumann, D. R. (2002). Internet plagiarism among college students. Journal of College Student Development, 43, 374-385.
Stamatatos, E., & Koppel, M. (2011). Plagiarism and authorship analysis: Introduction to the special issue. Language Resources and Evaluation, 45, 1-4. https://doi.org/10.1007/s10579-011-9136-1
Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research, 1(1), 77-100. https://doi.org/10.1177/1558689806292430
Thadphoothon, J. (2019, July 11-13). EFL students’ perceptions of paraphrasing skills and their paraphrasing challenges [Paper presentation]. The 4th International Conference on Innovative Education and Technology (ICIET), Pattaya, Thailand.
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
Tran, T. T. T., & Nguyen, H. B. (2022). The effects of paraphrasing on EFL students’ academic writing. Journal of Language and Linguistic Studies, 18(1), 976-987. https://bit.ly/3MA3wPf
Wang, J., Liu, S., Xie, X., & Li, Y. (2023). Evaluating AIGC detectors on code content (arXiv: 2304.05193). arXiv. https://doi.org/10.48550/arxiv.2304.05193
Wei, L. (2023). Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, Article 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0
Zou, B., & Thomas, M. (Eds.). (2019). Recent developments in technology-enhanced and computer-assisted language learning. IGI Global. https://doi.org/10.4018/978-1-7998-1282-1