ChatGPT as a Tool to Improve Written Expression in English as a Foreign Language
DOI:
https://doi.org/10.17533/udea.ikala.354584Keywords:
ChatGPT, university education, English language teaching, teaching- learning writing, artificial intelligenceAbstract
This paper aims to investigate the possibilities of ChatGPT as an aid for academic writing in a foreign language in higher education. For this purpose, the students performed a writing task and experienced the possibilities of the robot in terms of correcting and improving written expression in the essay genre in English language. The outcome of the use of ChatGPT was evaluated through a detailed analysis of the students’ interactions with the instrument. The analysis highlighted the mistakes and correct answers provided by this tool. Findings show that ChatGPT benefits from its huge amount of data to provide learners with a wide variety of improve-ment options, ranging from vocabulary and grammar to text structure and content. However, the use of this technolog y for teaching purposes has limitations, specifi-cally in the interaction of the user with the robot, as ChatGPT needs very precise instructions to ensure correct interpretation of the information. Nevertheless, as an aid and learning tool, it is useful provided it is guided and supervised by the teacher.
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Abdelghani, R., Wang, Y. H., Yuan, X., Wang, T., Lucas, P., Sauzéon, H. y Oudeyer, P. Y. (2023). GPT-3-driven pedagogical agents to train children’s curious question-asking skills. International Journal of Artificial Intelligence in Education, 1-36. https://doi.org/10.1007/s40593-023-00340-7
Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 100745. https://doi.org/10.1016/j.asw.2023.100745
Bin-Hady, W. R. A., Al-Kadi, A., Hazaea, A., y Ali, J. K. M. (2023). Exploring the dimensions of ChatGPT in English language learning: A global perspective. Library Hi Tech. https://doi.org/10.1108/LHT-05-2023-0200
Brook-Hart, G., Copello, A., Passmore, L. y Uddin, J. (2021). Complete first student’s book. Cambridge University Press.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., M. Ziegler, D., Wu 0003, J., Winter, C., Hesse, C., … Amodei, D. (2020). Language models are few-shot learners. In H. Larochelle, M. A. Ranzato, R. Hadsell, M.-F. Balcan, H.-T. Lin (Eds.), Advances in neural information processing systems 33: Annual Conference on Neural Information Processing Systems 2020 (pp. 1877-1901). NeurIPS 2020, December 6-12, virtual. 2020. https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html
Cambridge Assessment English. (2020). Assessing writing for Cambridge English Qualifications: A Guide for Teachers. Cambridge Assessment English. https://www.cambridgeenglish.org/pl/Images/603901-cer_6647_v1b_jul20_teacher-guide-for-writing_b2_first_schools_prf2.pdf
Chang, P., Chen, P. J. y Lai, L. L. (2022). Recursive editing with Google Translate: The impact on writing and error correction. Computer Assisted Language Learning, 1-26. https://doi.org/10.1080/09588221.2022.2147192
Codina, L. y Garde, C. (2023). Uso de ChatGPT en la docencia universitaria: fundamentos y propuestas. Seminario sobre experiencias docentes de la Facultad de Comunicación de la Universidad Pompeu Fabra. http://hdl.handle.net/10230/57015
Consejo de Europa. (2021). Marco común europeo de referencia para las lenguas: aprendizaje, enseñanza, evaluación (Instituto Cervantes, trad.), https://cvc.cervantes.es/ensenanza/biblioteca_ele/marco_complementario/mcer_volumen-complementario.pdf
Dijkstra, R., Zülküf, G., Subhradeep, K., Kamps, J. (2022). Reading comprehension quiz generation using Generative Pre-trained Transformers. En S. Sosnovsky, P. Brusilovsky y A. Lan (Eds.), Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022: co-located with 23.rd International Conference on Artificial Intelligence in Education (AIED 2022). Durham, UK, july 27 (pp. 4-17). (CEUR Workshop Proceedings; Vol. 3192). CEUR-WS. http://ceur-ws.org/Vol-3192/itb22_p1_full5439.pdf
Floridi, L. y Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 30, 681-694. https://doi.org/10.1007/s11023-020-09548-1
Gabajiwala, E., Mehta, P., Singh, R. y Koshy, R. (2022, november). Quiz maker: Automatic quiz generation from text using NLP. In Singh P. K., Wierzchoń, S. T., Chhabra, J. K., Tanwar, S., editors, Futuristic Trends in Networks and Computing Technologies: Select Proceedings of Fourth International Conference on FTNCT 2021 (pp. 523-533). Springer Nature Singapore. https://doi.org/10.1080/09588221.2022.2147192
García, I. y Pena, M. I. (2011). Machine translation-assisted language learning: Writing for beginners. Computer Assisted Language Learning, 24(5), 471-487. https://doi.org/10.1080/09588221.2011.582687
García-Peñalvo, F. J. (2023). La percepción de la inteligencia artificial en contextos educativos tras el lanzamiento de ChatGPT: disrupción o pánico. Education in the Knowledge Society (EKS), (24), e31279-e31279. https://doi.org/10.14201/eks.31279
González Perón, A., Rodríguez Sánchez, M. y Ledo Noguera, M. (2019). Enseñar a escribir en inglés: el enfoque proceso-producto orientado a la acción. Transformación, 15(1), 14-26. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2077-29552019000100014
Hernández Rizzardini, R., Amado-Salvatierra, H. R. y Morales Chan, M. (2021). Integrating a conversational pedagogical agent into the instructional activities of a Massive Open Online Course. In S. Caballé, S. N. Demetriadis, E. Gómez-Sánchez, P. M. Papadopoulos y A. Weinberger (Eds.), Intelligent systems and learning data analytics in online education (pp. 31-45). Academic Press. https://doi.org/10.1016/B978-0-12-823410-5.00005-X
Holden Thorp, H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313-313. https://doi.org/10.1126/science.adg7879
Hong, W. C. H. (2023). The impact of ChatGPT on foreign language teaching and learning: Opportunities in education and research. Journal of Educational Technology and Innovation, 5(1), 37-45. https://jeti.thewsu.org/index.php/cieti/article/view/103
Jaimovitch-López, G., Ferri, C., Hernández-Orallo, J., Martínez-Plumed, F. y Ramírez-Quintana, M. J. (2022). Can language models automate data wrangling? Mach Learn (112), 2053-2082. https://doi.org/10.1007/s10994-022-06259-9
Jiang, Z., Xu, F. F., Araki, J. y Neubig, G. (2020). How can we know what language models know? Transactions of the Association for Computational Linguistics, 8, 423-438. https://doi.org/10.1162/tacl_a_00324
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kohnke, L., Moorhouse, B. L. y Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537-550. https://doi.org/10.1177/00336882231162868
King, M. R. y ChatGPT. (2023). A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cellular and Molecular Bioengineering, 16, 1-2. https://doi.org/10.1007/s12195-022-00754-8
Lee, S. M. (2020). The impact of using machine translation on EFL students’ writing. Computer assisted language learning, 33(3), 157-175. http://dx.doi.org/10.1080/09588221.2018.1553186
Llorens, F. y ChatGPT. (2022). Cavilaciones invernales sobre la escritura de trabajos académicos usando inteligencia artificial. Blog de Studia XXI. Universidad. https://www.universidadsi.es/cavilaciones-invernales/
Mohamed, A. M. (2024). Exploring the potential of an AI-based Chatbot (ChatGPT) in enhancing English as a foreign language (EFL) teaching: Perceptions of EFL faculty members. Education and Information Technologies, 29, 3195-3217. https://doi.org/10.1007/s10639-023-11917-z
Moqbel, M. S. S. y Al-Kadi, A. M. T. (2023). Foreign language learning assessment in the age of ChatGPT: A theoretical account. Journal of English Studies in Arabia Felix, 2(1), 71-84. https://doi.org/10.56540/jesaf.v2i1.62
Moreno Padilla, R. D. (2019). La llegada de la inteligencia artificial a la educación. Revista de Investigación en Tecnologías de la Información: RITI, 7(14), 260-270. https://doi.org/10.36825/RITI.07.14.022
Muskat, E. (2023, enero 7). Students caught cheating using AI on final; Academic integrity policy updated. [publicación en blog]. The Commentator. https://n9.cl/fdkj0
Peritz, A. (2022, septiembre 6). AI is making it easier than ever for students to cheat. [publicación en blog]. Slate Magazine. https://slate.com/technology/2022/09/ai-students-writing-cheating-sudowrite.html
Rashid, M. H., Ye, T., Hui, W., Li, W. y Shunting, W. (2022). Analyse and challenges of teaching writing among the English teachers. Linguistics and Culture Review, 6(S2), 199-209. https://doi.org/10.21744/lingcure.v6nS2.2004
Reddy, P., Sharma, B. y Chaudhary, K. (2020). Digital literacy: A review of literature. International Journal of Technoethics (IJT), 11(2), 65-94. https://doi.org/10.4018/IJT.20200701.oa1
Ricart, A. (2008). An ESP comparative analysis in medical research articles: Spanish-English [Doctoral dissertation]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/2541
Ropek, L. (2023, enero 4). New York City schools ban ChatGPT to head off a cheating epidemic. Gizmodo. http://bit.ly/3kp8Ha9
Scao, T. L., Fan, A., Akiki, C., Pavlick, E., Ilić, S., Hesslow, D., Castagné, R., Luccioni, A.S., Yvon, F, Gallé, M., Tow, J., Rush, A. M., Biderman, S., Webson, A., Ammanamanchi, P. S., Wang, T., Sagot, B., Muennighoff, N., Villanova del Moral, A., Ruwase, O., et al. (2022). Bloom: A 176b-parameter open-access multilingual language model. arXiv:2211.05100; https://doi.org/10.48550/arXiv.2211.05100
Shahsavar, Z. y Kourepaz, H. (2020). Postgraduate students’ difficulties in writing their theses literature review. Cogent Education, 7(1), 1784620. https://doi.org/10.1080/2331186X.2020.1784620
UNESCO. (2019). International Conference on Artificial Intelligence and Education. Final report. Planning education in the AI era: Lead the leap. https://unesdoc.unesco.org/ark:/48223/pf0000370967
UNESCO. (2022). Recommendation on the ethics of artificial intelligence. https://unesdoc.unesco.org/ark:/48223/pf0000381137
Valdano, J. y Yuliani, S. (2020). The influences of machine translation dependency on translation skill. Borneo Educational Journal (Borju), 2(1), 36-49. https://doi.org/10.24903/bej.v2i1.624
Van Dis, E. A., Bollen, J., Zuidema, W., Van Rooij, R. y Bockting, C. L. (2023). ChatGPT: Five priorities for research. Nature, 614(7947), 224-226. https://doi.org/10.1038/d41586-023-00288-7
Vicente-Yagüe-Jara, M. I., López-Martínez, O., Navarro-Navarro, V. y Cuéllar-Santiago, F. (2023). Escritura, creatividad e inteligencia artificial. ChatGPT en el contexto universitario. Comunicar: Revista Científica de Comunicación y Educación, 31(77), 47-57. https://doi.org/10.3916/C77-2023-04
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