Utilizing Artificial Intelligence in Writing Feedback: Benefits and Challenges for First-Year Students at Hanoi University of Industry

Authors

DOI:

https://doi.org/10.54855/paic.24617

Keywords:

Artificial Intelligence, writing feedback, potentials, challenges, benefits

Abstract

This paper analyses the application of AI technology to the process of delivering writing feedback to first-year students of Hanoi University of Industry (HaUI). AI brings an effective solution to improve writing skills since one wants to receive individual and effective instruction. In this article, the authors discuss how there are opportunities for the use of AI to improve feedback quality, time, and flexibility in line with the various AI tools and platforms that cater to young writers. It also explores the implications and difficulty of incorporating AI-driven feedback systems for the classroom, like having issues with technology use and the roles and participation of teachers. This research uses qualitative data collection techniques, interviewing 10 teachers and focusing group discussions with 50 students majoring in business. Drawing on the analytical framework outlined above, this article examines the possible benefits and limitations of AI written feedback applicable to HaUI and offers directions for teachers and administrators in comparable contexts who want to utilize AI technology for writing feedback to support learners.

Author Biographies

Duong Thi Kim Hue, School of Languages and Tourism, Hanoi University of Industry, Vietnam

Currently, Duong Thi Kim Hue is with the rank of a lecturer at the Faculty of English Language, School of Languages and Tourism, Hanoi University of Industry, Vietnam. She fulfilled the requirements of Victoria University and was admitted to the Master of Teaching English to Speakers of Other Languages in 2015. She has been teaching English to non-majored English students for 12 years. She is keen on designing and developing EOP curriculum and materials for Business students.

Le Thi Thu Huong, Faculty of English Language, School of Languages and Tourism, Hanoi University of Industry, Vietnam

Le Thi Thu Huong is currently a lecturer at Faculty of English Language, School of Languages and Tourism, Hanoi University of Industry, Vietnam. She has been teaching English for adult learners for more than 20 years now. She has actively engaged in designing and developing EOP curriculum and materials especially in the areas of Business as well as Tourism and Hospitality. She received her MA degree in English Language Teaching from University of Languages and International Studies, Vietnam National University in 2006. Her research interests include English teaching methodology, English for Occupational Purposes and curriculum design and development.

 

References

Alharbi, M. A., & Al-Hoorie, A. H. (2020). Turnitin peer feedback: Controversial vs. non-controversial essays. International Journal of Educational Technology in Higher Education, 17(1), 17. DOI: https://doi.org/10.1186/s41239-020-00195-1

Almusharraf, N., & Alotaibi, H. (2023). An error-analysis study from an EFL writing context: Human and automated essay scoring approaches. Technology, Knowledge and Learning, 28(3), 1015–1031. https://doi.org/10.1007/s10758-022-09592-z DOI: https://doi.org/10.1007/s10758-022-09592-z

Bali, M. (2017). Against the 3A’s of EdTech: AI, analytics, and adaptive technologies in education. The Chronicle of Higher Education. Available at: https://www.chronicle.com/blogs/profhacker/against-the-3as-of-edtech-ai-analytics-and-adaptive-technologies-in-education/64604

Cahyono, B. Y., & Kurniawan, D. A. (2020). Evaluating the effectiveness of an AI-powered assessment tool for writing. Journal of English Language Teaching and Linguistics, 5(2), 217–232.

Dong, Y. (2023). Revolutionizing academic English writing through AI-powered pedagogy: Practical exploration of teaching process and assessment. Journal of Higher Education Research, 4(2), 52–57. DOI: https://doi.org/10.32629/jher.v4i2.1188

Duong, N. H., Tong, T. M. H., & Le, D. H. (2024). Utilizing ChatGPT in checking academic writing for postgraduate students. Proceedings of the Asia CALL International Conference, 6,193-203.ISSN: 2833-6836, ISBN: 979-8-9870112-6-3. DOI: https://doi.org/10.54855/paic.24614 DOI: https://doi.org/10.54855/paic.24614

Huang, A. Y. Q., Lu, O. H. T., & Yang, S. J. H. (2023). Effects of artificial intelligence–enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom. Computers & Education, 194, 104684. https://doi.org/10.1016/j.compedu.2022.104684 DOI: https://doi.org/10.1016/j.compedu.2022.104684

Huang, W., Hew, K. F., & Gonda, D. E. (2019). Designing and evaluating three chatbot-enhanced activities for a flipped graduate course. International Journal Mechanical Engineering and Robotics Research, 8, 813–818. https://doi.org/10.18178/ijmerr.8.5.813-818 DOI: https://doi.org/10.18178/ijmerr.8.5.813-818

Klein, E., O'Connor, B., & Cosmides, L. (2019). Bias in, bias out: Assessing the presence of racial and gender bias in a natural language processing platform. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) (pp. 5799–5804).

Laflen, A. (2023). Exploring how response technologies shape instructor feedback: A comparison of Canvas Speed grader, Google Docs, and Turnitin Grade Mark. Computers and Composition, 68, 102777. DOI: https://doi.org/10.1016/j.compcom.2023.102777

Li, B., & Peng, M. (2022). Integration of an AI-based platform and flipped classroom instructional model. Scientific Programming, 2022, 2536382. https://doi.org/10.1155/2022/2536382 DOI: https://doi.org/10.1155/2022/2536382

Liu, X., Xu, J., Xu, Y., & Liu, B. (2020). An intelligent writing assistant for argumentation skills development. IEEE Transactions on Learning Technologies, 13(4), 573–586.

Lo, C. K., & Hew, K. F. (2023). A review of integrating AI-based chatbots into flipped learning: New possibilities and challenges. Frontiers in Education, 8, 1175715. https://doi.org/10.3389/feduc.2023.1175715 DOI: https://doi.org/10.3389/feduc.2023.1175715

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London: Pearson.

Maudilidina, P., & Wibowo, H. (2022). The use of Grammarly tools to enrich students’ writing ability. Lingua: Journal Pendidikan Bahasa, 18(2), 179–189. DOI: https://doi.org/10.34005/lingua.v18i2.2246

Miranty, D., & Widiati, U. (2021). An automated writing evaluation (AWE) in higher education. Pegem Journal of Education and Instruction, 11(4), 126–137. https://doi.org/10.47750/pegegog.11.04.12 DOI: https://doi.org/10.47750/pegegog.11.04.12

Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022). Teachers’ trust in AI‐powered educational technology and a professional development program to improve it. British Journal of Educational Technology, 53(4), 914–931. https://doi.org/10.1111/bjet.13232 DOI: https://doi.org/10.1111/bjet.13232

Owan, V., Abang, K., Idika, D., & Bassey, B. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19, Article ID em2307. https://doi.org/10.29333/ejmste/13428. DOI: https://doi.org/10.29333/ejmste/13428

Sanosi, A. B. (2022). The impact of automated written corrective feedback on EFL learners’ academic accuracy. The Journal of Teaching English for Specific and Academic Purposes, 7(2), 301–317. https://doi.org/10.22190/JTESAP2202301S DOI: https://doi.org/10.22190/JTESAP2202301S

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

Xiong, Z., Ma, Y., Wu, Y., & Liu, J. (2020). Automatic essay grading using machine learning. International Journal of Emerging Technologies in Learning (iJET, 15(17), 63–78.

Downloads

Published

2024-12-23

How to Cite

Duong, T. K. H., & Le , T. T. H. (2024). Utilizing Artificial Intelligence in Writing Feedback: Benefits and Challenges for First-Year Students at Hanoi University of Industry. Proceedings of the AsiaCALL International Conference, 6, 238–249. https://doi.org/10.54855/paic.24617

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.