AI in academic writing: Assessing current usage and future implications

Authors

  • Eva Nikmatul Rabbianty Institut Agama Islam Negeri Madura
  • Siti Azizah Institut Agama Islam Negeri Madura
  • Nina Khayatul Virdyna Institut Agama Islam Negeri Madura

DOI:

https://doi.org/10.24090/insania.v28i1a.9278

Keywords:

academic writing authorship, AI current usage, AI future implication, artificial intelligence, ChatGPT

Abstract

Artificial intelligence (AI) integration in academic writing has gained significant attention due to its potential impact on authorship, the natural character of academic works, and ethical considerations. This Study aims to assess the faculty members' perceptions on their current usage of AI in academic writing and explore its future implications. The research involved an online survey administered to 68 faculty members responding to closed and open-ended questions. The study revealed faculty members' perceptions of AI integration in academic writing and its implications for authorship and the authenticity of academic work. Findings reveal widespread adoption of AI tools among faculty members, offering efficiency, productivity, and accuracy benefits in areas like grammar checks, reference management, writing assistance, and plagiarism detection. However, concerns arise over authorship preservation and maintaining academic work's unique character, emphasizing the need for clear guidelines. Ethical considerations and best practices are also highlighted to use AI while safeguarding academic integrity effectively. These insights extend to educators, policy makers, and researchers, offering a comprehensive view of AI's current role in academic writing and guiding ethical discussions and best practices. Ultimately, this research enhances teaching and learning practices in Indonesian higher education institutions through responsible AI integration.

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References

Ballardini, R. M. (2019). AI-generated content: Authorship and inventorship in the age of artificial intelligence. In T. Pihlajarinne, J. Vesala, & O. Honkkila, Online Distribution of Content in the EU (pp. 117–135). Edward Elgar Publishing. https://doi.org/10.4337/9781788119900.00015

Cerratto Pargman, T., Lindberg, Y., & Buch, A. (2022). Automation Is Coming! Exploring Future(s)-Oriented Methods in Education. Postdigital Science and Education, 5(1), 171–194. https://doi.org/10.1007/s42438-022-00349-6

Cresswell, J. W. (2012). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. (fourth). Pearson.

Frye, B. L. (2022). Should Using an AI Text Generator to Produce Academic Writing Be Plagiarism?. Fordham Intellectual Property, Media & Entertainment Law Journal, 33, 947-969. https://ssrn.com/abstract=4292283

Ghotbi, N., Ho, M. T., & Mantello, P. (2022). Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan. AI & SOCIETY, 37(1), 283–290. https://doi.org/10.1007/s00146-021-01168-2

Guadamuz, A. (2020). Do Androids Dream of Electric Copyright? Comparative analysis of originality in artificial intelligence generated works. Intellectual Property Quarterly, 2017 (2). https://ssrn.com/abstract=2981304

Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? Rethinking of Plagiarism Detection [Preprint]. EdArXiv. https://doi.org/10.35542/osf.io/fnh48

Kratochvíl, J. (2017). Comparison of the Accuracy of Bibliographical References Generated for Medical Citation Styles by EndNote, Mendeley, RefWorks and Zotero. The Journal of Academic Librarianship, 43(1), 57–66. https://doi.org/10.1016/j.acalib.2016.09.001

Kurniati, E. Y., & Fithriani, R. (2022). Post-Graduate 'Students' Perceptions of Quillbot Utilization in English Academic Writing Class. Journal of English Language Teaching and Linguistics, 7(3), 437-451. https://doi.org/10.21462/jeltl.v7i3.852

Livingston, S., & Risse, M. (2019). The Future Impact of Artificial Intelligence on Humans and Human Rights. Ethics & International Affairs, 33(02), 141–158. https://doi.org/10.1017/S089267941900011X

Mphahlele, A., & McKenna, S. (2019). The use of turnitin in the higher education sector: Decoding the myth. Assessment & Evaluation in Higher Education, 44(7), 1079–1089. https://doi.org/10.1080/02602938.2019.1573971

Nakazawa, E., Udagawa, M., & Akabayashi, A. (2022). Does the Use of AI to Create Academic Research Papers Undermine Researcher Originality? AI, 3(3), 702–706. https://doi.org/10.3390/ai3030040

Parra G., L., Calero S., X., & Assoc. Prof. Faculty of Education, Language Department, Universidad Técnica de Ambato, Ecuador, [email protected]. (2019). Automated Writing Evaluation Tools in the Improvement of the Writing Skill. International Journal of Instruction, 12(2), 209–226. https://doi.org/10.29333/iji.2019.12214a

Passonneau, R. J., McNamara, D., Muresan, S., & Perin, D. (2017). Preface: Special Issue on Multidisciplinary Approaches to AI and Education for Reading and Writing. International Journal of Artificial Intelligence in Education, 27(4), 665–670. https://doi.org/10.1007/s40593-017-0158-8

Ragot, M., Martin, N., & Cojean, S. (2020). AI-generated vs. Human Artworks. A Perception Bias Towards Artificial Intelligence? Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 1–10. https://doi.org/10.1145/3334480.3382892

Rodrigues, R. (2020). Legal and human rights issues of AI: Gaps, challenges and vulnerabilities. Journal of Responsible Technology, 4, 100005. https://doi.org/10.1016/j.jrt.2020.100005

Roemmele, M., & Gordon, A. S. (2015). Creative Help: A Story Writing Assistant. In H. Schoenau-Fog, L. E. Bruni, S. Louchart, & S. Baceviciute (Eds.), Interactive Storytelling (Vol. 9445, pp. 81–92). Springer International Publishing. https://doi.org/10.1007/978-3-319-27036-4_8

Roscoe, R. D., Allen, L. K., Weston, J. L., Crossley, S. A., & McNamara, D. S. (2014). The Writing Pal Intelligent Tutoring System: Usability Testing and Development. Computers and Composition, 34, 39–59. https://doi.org/10.1016/j.compcom.2014.09.002

Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9

Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313–313. https://doi.org/10.1126/science.adg7879

Yeung, K. (2018). A study of the implications of advanced digital technologies (including AI systems) for the concept of responsibility within a human rights framework. MSI-AUT, 05. https://ssrn.com/abstract=3286027

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(1), 39. https://doi.org/10.1186/s41239-019-0171-0

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Published

2023-12-29

How to Cite

Rabbianty, E. N., Azizah, S., & Virdyna, N. K. (2023). AI in academic writing: Assessing current usage and future implications. INSANIA : Jurnal Pemikiran Alternatif Kependidikan, 28(1a), 14–35. https://doi.org/10.24090/insania.v28i1a.9278

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