Integration Of Artificial Intelligence In Creative Writing Learning: An Exploratory Study Of The Impact On The Quality Of Student Narratives

Authors

  • Asri Bariqoh Pendidikan Bahasa dan Sastra Indonesia, STKIP PGRI Sampang, Indonesia

Keywords:

Artificial Intelligence, Creative Writing, Narrative Quality, Digital Literacy, Technology-Enhanced Learning

Abstract

This study explores the impact of artificial intelligence (AI) integration in creative writing instruction on the narrative quality of secondary school students. The primary focus includes analyzing cohesion, coherence, structure, language style, and originality in students' writings supported by AI and examining their perceptions toward using such technology. Employing a mixed-methods approach, the research design combines quasi-experimental methods with qualitative inquiry. Data were collected through pretests and posttests, narrative writing analysis, classroom observations, and in-depth interviews with students and teachers. The findings reveal that AI tools such as ChatGPT and Grammarly significantly enhance the technical quality of students' writings. The experimental group using AI achieved an average score of 85.6 on a narrative assessment rubric, compared to 76.2 in the control group. However, originality and imagination showed variability depending on students’ strategies in utilizing AI. Additionally, concerns regarding language style homogenization and cognitive dependency emerged. Teachers play a crucial role in ensuring AI serves as a supportive tool that fosters creative thinking rather than replacing it. The study implies the necessity for a humanistic, contextual, and ethical model of AI integration in writing education. It also opens avenues for further research on developing digital literacy and reflective abilities among students in the evolving landscape of educational technology.

References

Al-khresheh, M. H. (2024). Bridging technology and pedagogy from a global lens: Teachers’ perspectives on integrating ChatGPT in English language teaching. Computers and Education: Artificial Intelligence, 6, 100218. https://doi.org/10.1016/j.caeai.2024.100218

Amirjalili, F., Neysani, M., & Nikbakht, A. (2024, March). Exploring the boundaries of authorship: A comparative analysis of AI-generated text and human academic writing in English literature. In Frontiers in Education (Vol. 9, p. 1347421). Frontiers Media SA. https://doi.org/10.3389/feduc.2024.1347421

Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068. https://doi.org/10.1016/j.caeai.2022.100068

Bozkurt, A., Junhong, X., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., ... & Romero-Hall, E. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 53-130.

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International journal of educational technology in higher education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3

Daulay, S. H., Berutu, H., Dalimunte, M., Nasution, M. M., Apriani, E., Muthmainnah, M., & Shaumiwaty, S. (2024). What AI-Based Writing Assistant Actually Improved: Writing Quality or Writing Skills?. In Impacts of Generative AI on Creativity in Higher Education (pp. 423-442). IGI Global. https://doi.org/10.4018/979-8-3693-2418-9.ch016

Donkoh, S., & Mensah, J. (2023). Application of triangulation in qualitative research. Journal of Applied Biotechnology and Bioengineering, 10(1), 6-9. https://doi.org/10.15406/jabb.2023.10.00319

Fedoriv, Y., Pirozhenko, І., & Shuhai, A. (2024). Linguistic Analysis of Human-and AI-Created Content in Academic Discourse.

Garavito, R. (2024). Applying Howard Gardner’s Theory of Multiple Intelligences and Framework of Teaching for Understanding to Pedagogical Approaches for Tuba Fundamentals. The Florida State University.

George, A. S., & George, A. H. (2024). Towards a Super Smart Society 5.0: Opportunities and Challenges of Integrating Emerging Technologies for Social Innovation. Partners Universal International Research Journal, 3(2), 01-29.

Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of management annals, 14(2), 627-660. https://doi.org/10.5465/annals.2018.0057

Guerberof, A., & Asimakoulas, D. (2024). Creative skills development: Training translators to write in the era of AI. Hermes–Journal of Language and Communication in Business, (63), 227-243. https://doi.org/10.7146/hjlcb.vi63.143078

Hashim, S., Omar, M. K., Ab Jalil, H., & Sharef, N. M. (2022). Trends on technologies and artificial intelligence in education for personalized learning: systematic literature. Journal of Academic Research in Progressive Education and Development, 12(1), 884-903. https://doi.org/10.6007/IJARPED/v11-i1/12230

Husain, F. N. (2023). Impact of Multiple Intelligences and 21st Century Skills on Future Work Force. International Education Studies, 16(3), 16-30. https://doi.org/10.5539/ies.v16n3p16

Johansson, I. R. (2023). A Tale of Two Texts, a Robot, and Authorship: a comparison between a human-written and a ChatGPT-generated text.

Kasinathan, P., Pugazhendhi, R., Elavarasan, R. M., Ramachandaramurthy, V. K., Ramanathan, V., Subramanian, S., ... & Alsharif, M. H. (2022). Realization of sustainable development goals with disruptive technologies by integrating industry 5.0, society 5.0, smart cities and villages. Sustainability, 14(22), 15258. https://doi.org/10.3390/su142215258

Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and information technologies, 27(5), 6069-6104. https://doi.org/10.1007/s10639-021-10831-6

Makawi, F. E. (2023). General intelligence versus multiple intelligence: Social and cognitive development in visual arts education. Jurnal Penelitian Ilmu Pendidikan, 16(2), 104-115. https://doi.org/10.21831/jpipfip.v16i2.60791

Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., ... & Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?. Computers and Education: Artificial Intelligence, 3, 100056. https://doi.org/10.1016/j.caeai.2022.100056

Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 2236469. https://doi.org/10.1080/2331186X.2023.2236469

Munkar, A. M. R. N., Shodiq, J. F., & Walid, A. (2023). An Exploration of Islamic-Based Institutional Management Models in Madura: Between Cultural Diversity and Organizational Effectiveness. JUMPA: Jurnal Manajemen Pendidikan, 4(2), 82-96. https://doi.org/10.33650/jumpa.v4i2.9281

Ng, D. T. K., Luo, W., Chan, H. M. Y., & Chu, S. K. W. (2022). Using digital story writing as a pedagogy to develop AI literacy among primary students. Computers and Education: Artificial Intelligence, 3, 100054. https://doi.org/10.1016/j.caeai.2022.100054

Nguyen, L. T., & Tuamsuk, K. (2022). Digital learning ecosystem at educational institutions: A content analysis of scholarly discourse. Cogent Education, 9(1), 2111033. https://doi.org/10.1080/2331186X.2022.2111033

O’Dea, X., Tsz Kit Ng, D., O’Dea, M., & Shkuratskyy, V. (2024). Factors affecting university students’ generative AI literacy: Evidence and evaluation in the UK and Hong Kong contexts. Policy Futures in Education, 14782103241287401. https://doi.org/10.1177/14782103241287401

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020

Paavola, I. (2024). “Evaluating Generative Ai Literacy Among Hr Personnel To Develop A Framework For An Internal GPT. Human-Technology.

Park, W., & Kwon, H. (2024). Implementing artificial intelligence education for middle school technology education in Republic of Korea. International journal of technology and design education, 34(1), 109-135. https://doi.org/10.1007/s10798-023-09812-2

Salman, H., Imran, A., Niazi, S., Rahat, A., Arif, A., & Anjum, S. (2024). Artificial Intelligence In Higher Education: Strategies For Fostering Creativity In Writing Instruction. Migration Letters, 21(S8), 1089-1097.

Walid, A., & Malik, A. (2023). Increasing Public Interest through School Image Branding through a Trending Approach. Educazione: Journal of Education and Learning, 1(1), 41-53. https://doi.org/10.61987/educazione.v1i1.492

Walid, A., Hidayati, S., & Ramli, N. (2024). Cultural Synergy in Islamic Educational Leadership: Developing an Inclusive Model for Enhancing Management Effectiveness and Educational Quality in Culturally Diverse Institutions. JUMPA: Jurnal Manajemen Pendidikan, 5(1), 42-56. https://doi.org/10.33650/jumpa.v5i1.9335

Wang, M., Yu, H., Bell, Z., & Chu, X. (2022). Constructing an edu-metaverse ecosystem: A new and innovative framework. IEEE Transactions on Learning Technologies, 15(6), 685-696. https://doi.org/10.1109/TLT.2022.3210828

Zhai, C., & Wibowo, S. (2023). A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university. Computers and Education: Artificial Intelligence, 4, 100134. https://doi.org/10.1016/j.caeai.2023.100134

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Published

2025-06-15

How to Cite

Bariqoh, A. (2025). Integration Of Artificial Intelligence In Creative Writing Learning: An Exploratory Study Of The Impact On The Quality Of Student Narratives. Journal of Language and Letters Education, 1(1), 9–18. Retrieved from https://journal.staimun.ac.id/index.php/jalla/article/view/90