AI-Based Metacognitive Model in Learning to Writing Scientific Papers: Transformation of Indonesian Language Education in The Digital Eramodel
metacognitive model, artificial intelligence, write scientific papers, digital transformation
Abstract
The low metacognitive awareness of students and the limited feedback capacity provided by lecturers are challenges faced in learning to write scientific papers in higher education. This conceptual article aims to design a Metacognitive Model Based on Artificial Intelligence (AI) Technology that can be used as a transformative framework in learning Indonesian in the digital era. Through a systematic review of the latest literature in the period 2015-2026, this article identifies three main theoretical foundations, namely: (1) Flavell's metacognitive theory strengthened by Zimmerman's Self-Regulated Learning (SRL) model, (2) Sanulita's Metacognitive Writing Model (2023), and the development of AI utilization in higher education. The proposed model consists of five integrated components, namely AI-assisted adaptive planning, real-time feedback-based monitoring, meta-reflective reflection through digital journals, hybrid multilayered evaluation, and continuous self-regulation. This article emphasizes that AI integration is not just a tool, but a transformation agent that can change the paradigm of Indonesian language teaching towards a learning ecosystem that is personalized, responsive, and globally competitive.
References
S. Hidi dan P. Boscolo, “Motivation and Writing,” in Handbook of writing research, C. A. MacArthur, S. Graham, dan J. Fitzgerald, Ed., New York: Guilford Press, 2006, hal. 144–157. doi: 10.1007/s11145-008-9121-2.
S. Graham, “A Revised Writer(s)-Within-Community Model of Writing,” Educ. Psychol., vol. 53, no. 4, hal. 258–279, 2018, doi: 10.1080/00461520.2018.1481406.
H. Sanulita, “Pengembangan Model Metakognitif dalam Pembelajaran Menulis Karya Ilmiah,” Universitas Negeri Malang, 2023.
D. Ramadhanti dan D. P. Yanda, “Students ’ Metacognitive Awareness and Its Impact on Writing Skill,” Int. J. Lang. Educ., vol. 5, no. 3, hal. 193–206, 2021.
T. M. Al-Jarrah, N. Mansor, R. A. Rashid, I. Bashir, dan J. M. Al-Jarrah, “EFL Students’ Attitude Toward Using Metacognitive Strategies in Writing,” English Lang. Teach., vol. 11, no. 10, hal. 162, 2018, doi: 10.5539/elt.v11n10p162.
L. A. Rosdiana, V. S. Damaianti, Y. Mulyati, dan A. Sastromiharjo, “The Role of Metacognitive Strategies in Academic Writing Skills in Higher Education,” Int. J. Learn. Teach. Educ. Res., vol. 22, no. 6, hal. 328–344, 2023, doi: 10.26803/ijlter.22.6.18.
M. J. Alfaifi, “A Suggested Model for Metacognitive Strategy Instruction in EFL Writing Classrooms A Suggested Model for Metacognitive Strategy Instruction in EFL Writing Classrooms,” Read. Writ. Q., vol. 0, no. 0, hal. 1–17, 2021, doi: 10.1080/10573569.2021.1954569.
Y. Lee, R. O. Davis, dan S. O. Lee, “University Students ’ Perceptions of Artificial Intelligence- Based Tools for English Writing Courses,” Online J. Commun. Media Technol., vol. 14, no. 1, hal. 1–11, 2024.
W. M. Lim, A. Gunasekara, J. L. Pallant, J. I. Pallant, dan E. Pechenkina, “Generative AI and The Future of Education : Ragnar¨ok or Reformation ? A Paradoxical Perspective From Management Educators,” Int. J. Manag. Educ., vol. 21, no. 2, hal. 100790, 2023, doi: 10.1016/j.ijme.2023.100790.
O. Zawacki-richter, V. I. Marín, M. Bond, dan F. Gouverneur, “Systematic Review of Research on Artificial Intelligence Applications in Higher Education – Where Are The Educators ?,” Int. J. Educ. Technol. High. Educ., 2019.
L. Raitskaya dan E. Tikhonova, “Enhancing Critical Thinking Skills in ChatGPT-Human Interaction : A Scoping Review,” J. Lang. Educ., vol. 11, no. 2, hal. 5–19, 2025.
M. Adamakis dan T. Rachiotis, “Artificial Intelligence in Higher Education : A State-of-the-Art Overview of Pedagogical Integrity , Artificial Intelligence Literacy , and Policy Integration,” Encyclopedia, 2025.
X. Shen dan Y. Tao, “Metacognitive Strategies , AI-based Writing Self-efficacy and Writing Anxiety in AI-assisted Writing Contexts : A Structural Equation Modeling Analysis,” Int. J. TESOL Stud., vol. 7, hal. 70–87, 2025.
O. E. L. Hosayny, H. Razkane, dan M. Yeou, “Metacognitive regulation and ChatGPT-assisted writing : introducing an interactive model for cultivating strategic engagement,” Discov. Educ., 2026.
H. Haidar, G. Suryoputro, dan I. Safi’i, “Impact of the Integration of Metacognitive Prompts by Generative Artificial Intelligence ( GenAI ) in Collaborative and Individual Learning in Improving Writing Skills and Metacognitive Awareness,” Int. J. Learn. Teach. Educ. Res., vol. 24, no. 6, hal. 232–250, 2025.
Y. G. Feriyanti, L. Judijanto, G. Prananda, H. Sanulita, dan Kadiyo, “Tinjauan Pemanfaatan Kecedasan Buatan Pembelajaran Mandiri Pada Keterampilan Bahasa Indonesia,” Literasi J. Ilm. Pendidik. Bahasa, Sastra Indones. dan Drh., vol. 14, no. 2, hal. 675–682, 2024.
H. Snyder, “Literature review as a research methodology : An overview and guidelines,” J. Bus. Res., vol. 104, no. August, hal. 333–339, 2019, doi: 10.1016/j.jbusres.2019.07.039.
D. Tranfield, D. Denyer, dan P. Smart, “Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review *,” Br. J. Manag., vol. 14, hal. 207–222, 2003.
V. Braun dan V. Clarke, “Using Thematic Analysis in psychology,” Qual. Res. Psychol., vol. 3, no. 2, hal. 77–101, 2006.
J. H. Flavell, “Metacognitive aspects of problem solving,” in The nature of intelligence, 1976.
B. J. Zimmerman, “Self-Efficacy: An Essential Motive to Learn,” Contemp. Educ. Psychol., vol. 25, no. 1, hal. 82–91, 2000, doi: 10.1006/ceps.1999.1016.
C. W. Okonkwo dan A. Ade-ibijola, “Chatbots Applications in Education : A Systematic Review,” Comput. Educ. Artif. Intell., vol. 2, hal. 100033, 2021, doi: 10.1016/j.caeai.2021.100033.
J. Broadbent, “Comparing Online and Blended Learner’s Self-Regulated Learning Strategies and Academic Performance,” Internet High. Educ., vol. 33, hal. 24–32, 2017.
T. K. F. Chiu, “The Impact of Generative AI ( GenAI ) on Practices , Policies and Research Direction in Education : A Case of ChatGPT and Midjourney,” Interact. Learn. Environ., vol. 32, no. 10, hal. 6187–6203, 2024, doi: 10.1080/10494820.2023.2253861.
A. Tlili et al., “What if The Devil is My Guardian Angel : ChatGPT as a Case Study of Using Chatbots in Education,” Smart Learn. Environ., vol. 10, no. 15, hal. 2–24, 2023, doi: 10.1186/s40561-023-00237-x.
A. P. Cavalcanti et al., “Automatic Feedback in Online Learning Environments : A Systematic Literature Review,” Comput. Educ. Artif. Intell., vol. 2, hal. 100027, 2021, doi: 10.1016/j.caeai.2021.100027.
H. Harsono, L. Amalia, H. Sanulita, E. M. B. P. Aticqa, dan A. M. Rahmatullah, “Fostering Critical Thinking in Academic Writing through a Meta-Reflective Model : Integrating Self- Assessment and Inquiry-Based Learning,” Ghancharan, vol. 7, no. September 2025, 2026, doi: 10.19105/ghancaran.v7i2.22099.
O. Noroozi, S. K. Banihashem, H. J. A. Biemans, M. Smits, M. T. W. Vervoort, dan C.-L. Verbaan, “Design, Implementation, and Evaluation of an Online Supported Peer Feedback Module to Enhance Students ’ Argumentative Essay Quality,” Educ. Inf. Technol., vol. 28, hal. 12757–12784, 2023.
M. Farrokhnia, S. K. Banihashem, O. Noroozi, dan A. Wals, “A SWOT Analysis of ChatGPT : Implications for Educational Practice and Research,” Innov. Educ. Teach. Int., vol. 61, no. 3, hal. 460–474, 2024, doi: 10.1080/14703297.2023.2195846.
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