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Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

Chat GPT a project based professional learning as an alternative learning to traditional writing : A quick response generator to improve writing skills

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pp. 803–813Vol. 46Issue 3April 2025DOI: 10.47974/JIOS-1803XML
Received:
11 Sep 2024
Published Online:
01 Apr 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1803
Pages:
803–813

Abstract

The paper is intended to study the efficiency of Project Based professional Learning in improving Writing Skills to the prevailing English Language development. This research is based on selected group of students enrolled in different programs at university level. The traditional mode of writing skills is compared with the modern version of techno- aided tool i.e. Chat GPT an open AI Tool (CHAT- OAI). The targeted group has been taught with the traditional way of teaching and has been appraised with the latest version of CHAT- OAI. The treatment group has been accessed through mixed method approach, it’s a quasi- experimental design with pre-recorded test and post recorded test experimental set- up where the impact of techno tools on Professional writing topics is studied; especially in connection to Business correspondence needs as letter writing, email writing, report writing, notices, memorandums, office orders, circulars, agenda and minutes of meetings etc. The similar has been followed with open ended Questions to seek an over- view of student’s perceptions and feedback on the blended teaching tactics introduced in the classrooms. The data analysis reveals that the techno- aided version of Chat- GPT would replace the conventional mode of learning language. Technology assists students to improve professional writing skills. The study reveals that the students and teachers have keen interest in improving the current practice of developing their professional writing content as it seems to be more quality and time saving; further enhancing confidence of working professionals.

Keywords

Subject Classifications

97B7097P60

References

[1] M. Charles, “Language matters in global communication,” J. Bus. Commun., vol. 44, no. 3, pp. 260–282 (2007). [2] D. Das, N. Kumar, L. A. Longjam, R. Sinha, A. D. Roy, H. Mondal, and P. Gupta, “Assessing the capability of CHAT-OAI in answering first-and second-order knowledge questions on microbiology as per competency-based medical education curriculum,” Cureus, vol. 15, no. 3 (2023). [3] N. Fan, “Exploring the effects of automated written corrective feedback on EFL students’ writing quality: A mixed-methods study,” SAGE Open, vol. 13, no. 2 (2023). [4] A. Gilson, C. W. Safranek, T. Huang, V. Socrates, L. Chi, R. A. Taylor, and D. Chartash, “How does ChatGPT perform on the United States medical licensing examination? The implications of large language models for medical education and knowledge assessment,” JMIR Med. Educ., vol. 9, no. 1, p. e45312 (2023). [5] A. Gocen and F. Aydemir, “Artificial intelligence in education and schools,” Res. Educ. Media, vol. 12, no. 1, pp. 13–21 (2021). [6] M. Hakiki, R. Fadli, A. D. Samala, A. Fricticarani, P. Dayurni, K. Rahmadani, and A. Sabir, “Exploring the impact of using Chat-GPT on student learning outcomes in technology learning: The comprehensive experiment,” Adv. Mobile Learn. Educ. Res., vol. 3, no. 2, pp. 859–872 (2023). [7] J. Rudolph, S. Tan, and S. Tan, “ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?,” J. Appl. Learn. Teach., vol. 6, no. 1 (2023). [8] M. R. King, “The future of AI in medicine: A perspective from a chatbot,” Ann. Biomed. Eng., vol. 51, pp. 291–295 (2023). doi: 10.1007/s10439-022-03121-w. [9] T. H. Kung, J. T. Chang, A. D. G. Fong, L. Y. S. Chen, Y. C. Wu, and S. W. K. Ho, “Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models,” PLoS Digit. Health, vol. 2, no. 2, p. e0000198 (2023). [10] Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature, vol. 521, no. 7553, pp. 436–444 (2015). [11] J. Li, S. Link, and V. Hegelheimer, “Rethinking the role of automated writing evaluation (AWE) feedback in ESL writing instruction,” J. Second Lang. Writ., vol. 27, pp. 1–18 (2015). [12] S. Liu, X. Zhang, Y. Wang, L. Chen, R. Li, M. Zhao, and J. Wang, “Using AI-generated suggestions from ChatGPT to optimize clinical decision support,” J. Am. Med. Inform. Assoc., vol. 30, no. 7, pp. 1237–1245 (2023). [13] C. Nickerson, “English for specific purposes and English as a lingua franca,” in The Handbook of English for Specific Purposes, B. Paltridge and S. Starfield, Eds. Chichester: Wiley-Blackwell, pp. 445–460 (2013). [14] P. P. Ray, “ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,” Internet Things Cyber-Phys. Syst. (2023). [15] J. Rudolph, S. Tan, and S. Tan, “ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?,” J. Appl. Learn. Teach., vol. 6 (2023). doi: 10.37074/jalt.2023.6.1. [16] M. Tashtoush, Y. Wardat, F. Aloufi, and O. Taani, “The effect of a training program based on (TIMSS) to developing the levels of habits of mind and mathematical reasoning skills among preservice mathematics teachers,” Eurasia J. Math. Sci. Technol. Educ., vol. 18, no. 11, p. em2182 (2022). doi: 10.29333/ejmste/12557. [17] J. Wilson, N. G. Olinghouse, and G. N. Andrada, “Does automated feedback improve writing quality?,” Learn. Disabil. Contemp. J., vol. 12, pp. 93–118 (2014). [18] Y. Liu, Y. Shi, F. Mu, J. Cheng, and X. Chen, “Glioma segmentation-oriented multi-modal MR image fusion with adversarial learning,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 8, pp. 1528–1531 (2022). 
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