Leveraging generative AI tools for effective academic writing
DOI:
https://doi.org/10.1344/REYD2024.30.46080Keywords:
Chat GPT, writing skills, creativity, cognitive thinking, technology, artificial intelligenceAbstract
The intricate relationship between the creative demonstration and its creator is a subject of profound exploration and psychological satisfaction. An art form whether visual, literary or performative, serve as channels for the creator to externalize their innermost thoughts and emotions. This case narrates the art of writing (the skill set) which can evoke a sense of joy, enabling writers to channel their imagination, experience, and individuality into tangible forms.
The integration of AI-enabled technologies, such as ChatGPT, has undeniably revolutionized the landscape of the art of writing. The case is the pertinent concern about the potential loss of the art of writing and the subsequent impact on the joy of art delivery. This case study delves into the repercussions of the advent of ChatGPT on the traditional craft of writing and its influence on the emotional resonance of artistic expression through writing forms.
As AI algorithms like ChatGPT become increasingly adept at generating text, there is an increase in the erosion of the human touch in writing. There is a risk of losing the emotive power that comes from an artist's genuine connection with their creation. The study uncovers the effect of AI-generated content on the dilution of creative thoughts and subsequent happiness derived from its delivery.
References
Afzaal, M., Imran, M., Du, X., & Almusharraf, N. (2022). Automated and human interaction in written discourse: A contrastive parallel corpus-based investigation of meta discourse features in machine-human translations. SAGE Open, 12(4), 1-18. https://doi.org/21582440221142210.
Afzal, S., Dhamecha, T., Mukhi, N., Sindhgatta Rajan, R., Marvaniya, S., Ventura, M., & Yarbro, J. (2019). Development and Deployment of a Large-Scale Dialog-Based Intelligent Tutoring System. Vol. 2, pp. 114–121.
Ahmed, B., Ali, G., Hussain, A., Baseer, A., & Ahmed, J. (2021). Analysis of Text Feature Extractors using Deep Learning on Fake News. Eng. Technol. Appl. Sci. Res., vol. 11, no. 2, pp. 7001–7005. https://doi.org/10.48084/etasr.4069.
Al-Garaady, J., & Mahyoob, M. (2022). Public Sentiment Analysis in social media on the SARS-CoV-2 Vaccination Using VADER Lexicon Polarity. Humanities and Educational Sciences Journal, no. 22, pp. 591–609. https://doi.org/10.55074/hesj.v0i22.476.
Al-Garaady, Jeehaan (2022). An Analysis of Yemenis’ Responses and Sentiments on social media Towards the emergence of the COVID-19 Pandemic. Humanities and Educational Sciences Journal, no. 27, 589–607. Available at SSRN: https://doi.org/10.55074/hesj.v0i27.621.
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.
Brenden M. Lake et al., (2017). “Building Machines that Learn and Think Like People,” Behavioral and Brain Sciences 40 (2017): e253.
Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers? arxiv:2305.02878.
Civil, B. (2023, March 16). ChatGPT can hinder students’ critical thinking skills: Artifcial intelligence is changing how students learn to write. The Queen’s Journal. https://www.queensjournal.ca/story/2023-03-16/opinions/chatgpt-can-hinder-stude nts-critical-thinking-skills.
Creely, E. (2023). Conceiving Creativity and Learning in a World of Artificial Intelligence: A Thinking Model. In Creative Provocations: Speculations on the Future of Creativity, Technology & Learning (pp. 35-50). Cham: Springer International Publishing.
Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.22
Hutson, M. (2022). Could AI help you to write your next paper? Nature, 611(7934), 192– 193. https://doi.org/10.1038/d41586-022-03479.
Imran, M., & Almusharraf, N. (2023). Review of teaching innovation in university education: Case studies and main practices. The Social Science Journal. https://doi.org/10.1080/03623319.2023.2201973.
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 00336882231162868.https://doi.org/10.1177 / 00336882231162868.
Kolb, D. A. (1984) "Experimental Learning: Experience as the Source of Learning and Development", Prentice-Hall, Englewood Cliffs, N.J.
Korn, J. & Kelly, S. (2023, January 5). New York City public schools ban access to AI tool that could help students cheat. CNN. https:// edition.cnn.com/2023/01/05/tech/chatgpt-nyc-school-ban/index.html.
Lametti, D. (2022). AI could be great for college essays. slate.com. https://slate.com/technology/2022/12/ chatgpt-college-essay-plagiarism.html.
Li, X., & Ouyang, L. (2019). Challenges in the imitation of human poetry by AI. Artificial Intelligence Review, 52(3), 593-610.
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410.
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News. https://doi.org/10.2139/ssrn.4333415.
Mahyoob, M. (2015). Semi-Automatic Annotation of Arabic Corpus: A Morpho-syntactic Study, Ph.D. dissertation, Aligarh Muslim University, Aligarh, India,
Mahyoob, M. (2020). Developing a Simplified Morphological Analyzer for Arabic Pronominal System. Available at SSRN 3599719. https://doi.org/10.2139/ssrn.3599719.
Niu, W. & Sternberg, R. J. (2006). The philosophical roots of Western and Eastern conceptions of creativity. J. Theor. Philos. Psychol. 26, 18–38.
Oliver, J. (2023). John Oliver on new AI programs: ‘The potential and the peril here are huge’. The Guardian. https://www.thegu ardian.com/tv-and-radio/2023/feb/27/john-oliver-new-ai-programs-potential-peril.
Patil, A. S., & Abraham, A. (2010). Intelligent and Interactive Web-Based Tutoring System in Engineering Education: Reviews, Perspectives and Development. In Computational Intelligence for Technology Enhanced Learning. Springer, Berlin, Heidelberg.
Pham, S. T., & Sampson, P. M. (2022). The development of artificial intelligence in education: A review in context. Journal of Computer Assisted Learning, 38 (5), 1408- 1421.
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations, and future scope. Internet of Things and Cyber-Physical Systems, 3, 121-154. https: // doi.org / 10.1016 / j.iotcps. 2023. 04. 003.
Sadeghi, A. & Ofoghi, N. (2011). The psychological factors affecting students’ Creativity Inside the Class (CIC) (case study the University of Guilan, Iran). Procedia - Soc. Behav. Sci. 15, 263–270.
Sallam, M. (2023). ChatGPT utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare, 11(6), 887. https://doi.org/10.3390/healthcare 11060887.
Sharples, M., & y Pérez, R. P. (2022). Story Machines: How Computers Have Become Creative Writers. Routledge.
Stokel-Walker C. (2022). AI bot ChatGPT writes smart essays–should professors worry? Nature. https://doi.org/10.1038/d41586-022-04397-7.
Tate, T., Doroudi, S., Ritchie, D., & Xu, Y. (2023). Educational Research and AI-Generated Writing: Confronting the Coming Tsunami. https://doi.org/10.35542/osf.io/4mec3.
Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q, & Tate, T. (2023). The afordances and contradictions of AIgenerated text for second language writers. https://doi.org/10.2139/ssrn.4404380.
Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11742-4.
Yang, D., Zhou, Y., Zhang, Z., Li, T. J. J., & LC, R. (2022). AI as an Active Writer: Interaction strategies with generated text in human-AI collaborative fiction writing. In Joint Proceedings of the ACM IUI Workshops (Vol. 10).
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, 39.
Zhai, X. (2022). ChatGPT User Experience: Implications for Education. SSRN 4312418.
Zneit, R. S. A. Online Handwriting Signature Verification Based on Using Extreme Points Extraction. Eng. Technol. Appl. Sci. Res., vol. 6, no. 4, pp. 1084–1088, 2016. https://doi. org/10.48084/etasr.694.
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