Pemanfaatan Teknologi Artificial Intelligence dalam Pengembangan Kurikulum
DOI:
https://doi.org/10.59240/kjsk.v6i2.659Keywords:
Artificial Intelligence, Curriculum Development, Adaptive Learning, Educational TechnologyAbstract
The rapid development of Artificial Intelligence (AI) has significantly transformed curriculum development toward more adaptive, personalized, and data-driven approaches. This study aims to analyze research trends, identify key variables, and propose future research directions related to the utilization of AI in curriculum development. This research employs a Systematic Literature Review (SLR) method based on the PRISMA guidelines. A total of 42 empirical articles published between 2020 and 2025 were retrieved from Scopus, ERIC, Semantic Scholar, and Google Scholar, and analyzed using bibliometric and thematic approaches. The results reveal three major research clusters: AI-based learning systems, curriculum intelligence design, and adaptive education models. The findings further indicate that the effectiveness of AI implementation in curriculum development is strongly influenced by mediating variables such as teacher readiness and digital pedagogy integration, and is reinforced by moderating factors including policy support and technological infrastructure readiness. In addition, ethical considerations and AI literacy emerge as critical components in designing sustainable AI-driven curricula. Overall, AI plays a strategic role in shaping innovative, inclusive, and sustainable curriculum models. This study contributes both theoretically and practically to the advancement of educational policy and technology-based curriculum design in the digital era
References
Adima, et al, ‘Digital Literacy Trends in Islamic Perspective in Higher Education: A Bibliometric Review’, Jurnal Penelitian Pendidikan IPA, 10.12 (2025), pp. 1012–26, doi:10.29303/jppipa.v10i12.9847
Bai, Xuejiao, ‘The Role And Challenges Of Artificial Intelligence In Information Technology Education’, Pacific International Journal, 7.1 (2024), pp. 86–92, doi:10.55014/pij.v7i1.524
Bauman, R W, Critical Legal Studies: A Guide to the Literature, Critical Legal Studies: A Guide to the Literature (Taylor and Francis, 2021), doi:10.4324/9780429044793
Bond, Melissa, Hassan Khosravi, Maarten De Laat, Nina Bergdahl, Violeta Negrea, Emily Oxley, and others, ‘A Meta Systematic Review of Artificial Intelligence in Higher Education: A Call for Increased Ethics, Collaboration, and Rigour’, International Journal of Educational Technology in Higher Education, 21.1 (2024), p. 4, doi:10.1186/s41239-023-00436-z
Boussouf, Zouheir, Hanae Amrani, Mouna Zerhouni Khal, and Fouad Daidai, ‘Artificial Intelligence in Education: A Systematic Literature Review’, Data and Metadata, 3 (2024), p. 288, doi:10.56294/dm2024288
Bowers, Patrick, Kelley Graydon, Tracii Ryan, Jey Han Lau, and Dani Tomlin, ‘Artificial Intelligence-Driven Virtual Patients for Communication Skill Development in Healthcare Students’:, Australasian Journal of Educational Technology, 2024, doi:10.14742/ajet.9307
Burney, Ikram A, and Nisar Ahmad, ‘Artificial Intelligence in Medical Education: A Citation-Based Systematic Literature Review’, Journal of Shifa Tameer-e-Millat University, 5.1 (2022), pp. 43–53, doi:10.32593/jstmu/Vol5.Iss1.183
Cerezo-Pizarro, Mario, Alain Presentación-Muñoz, and José Ignacio Calzada-Rodríguez, ‘Developing Doctoral Theses in Education: The Role of Systematic Reviews in the Spanish Context’, Education Sciences, 14.11 (2024), p. 1165, doi:10.3390/educsci14111165
Chiu, Thomas K.F., and Ching-sing Chai, ‘Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-Determination Theory Perspective’, Sustainability, 12.14 (2020), p. 5568, doi:10.3390/su12145568
Connolly, Cornelia, Orlaith Hernon, Peter Carr, Hemendra Worlikar, Ian McCabe, Jennifer Doran, and others, ‘Artificial Intelligence in Interprofessional Healthcare Practice Education – Insights from the Home Health Project, an Exemplar for Change’, Computers in the Schools, 40.4 (2023), pp. 412–29, doi:10.1080/07380569.2023.2247393
Gordon, Morris, Michelle Daniel, Aderonke Ajiboye, Hussein Uraiby, Nicole Y. Xu, Rangana Bartlett, and others, ‘A Scoping Review of Artificial Intelligence in Medical Education: BEME Guide No. 84’, Medical Teacher, 46.4 (2024), pp. 446–70, doi:10.1080/0142159X.2024.2314198
Inchara P, ‘The Role of Artificial Intelligence in Transforming Management Science Education: Implications for Curriculum Development and Teaching Methods’, Journal of Information Systems Engineering and Management, 10.10s (2025), pp. 442–53, doi:10.52783/jisem.v10i10s.1407
Kalantarion, et al, , ‘Impact of Artificial Intelligence on Academic Performance in Medical Education: A Systematic Review’, Journal of Education and Health Promotion, 14.1 (2025), doi:10.4103/jehp.jehp_2071_23
Kim, Suyoun, Su Hyun Kim, Hansea Kim, and Young-Mee Lee, ‘Integrating Artificial Intelligence into Medical Curricula: Perspectives of Faculty and Students in South Korea’, Korean Journal of Medical Education, 37.1 (2025), pp. 65–70, doi:10.3946/kjme.2025.324
Martin, Florence, Min Zhuang, and Darlene Schaefer, ‘Systematic Review of Research on Artificial Intelligence in K-12 Education (2017–2022)’, Computers and Education: Artificial Intelligence, 6 (2024), p. 100195, doi:10.1016/j.caeai.2023.100195
Mutiara Ningtyas, Pranistya Dwi Ayu, and Ikhfan Haris, ‘The Impact of Utilizing Artificial Intelligence In Independent Curriculum-Based Learning’, International Journal of Multidisciplinary Sciences, 2.4 (2024), pp. 426–39, doi:10.37329/ijms.v2i4.3732
Pittaway, L, and J Cope, ‘Entrepreneurship Education: A Systematic Review of the Evidence’, ERPN: Other Individuals (Sub-Topic), 2007
Pupic, Nikola, Aryan Ghaffari-zadeh, Ricky Hu, Rohit Singla, Kathryn Darras, Anna Karwowska, and others, ‘An Evidence-Based Approach to Artificial Intelligence Education for Medical Students: A Systematic Review’, ed. by Valentina Lichtner, PLOS Digital Health, 2.11 (2023), p. e0000255, doi:10.1371/journal.pdig.0000255
Rahardjanto, Abdulkadir, and Husamah Husamah, ‘Publication Trend of R&D in the Journal of Biological Education in Indonesia (Sinta 2: 2017-2021): A Systematic Literature Review’, Prisma Sains : Jurnal Pengkajian Ilmu Dan Pembelajaran Matematika Dan IPA IKIP Mataram, 10.1 (2022), p. 21, doi:10.33394/j-ps.v10i1.4769
Rueff, Gabrielle, Paul Monaco, Antonio E Rusinol, and Mark Hernandez, ‘Challenges in the Rapid and Responsible Integration of Generative Artificial Intelligence (AI) Into a New Medical School Curriculum’, Cureus, 2025, doi:10.7759/cureus.86796
Sperling, Katarina, Carl-Johan Stenberg, Cormac McGrath, Anna Åkerfeldt, Fredrik Heintz, and Linnéa Stenliden, ‘In Search of Artificial Intelligence (AI) Literacy in Teacher Education: A Scoping Review’, Computers and Education Open, 6 (2024), p. 100169, doi:10.1016/j.caeo.2024.100169
Sposato, Martin, ‘Artificial Intelligence in Educational Leadership: A Comprehensive Taxonomy and Future Directions’, International Journal of Educational Technology in Higher Education, 22.1 (2025), p. 20, doi:10.1186/s41239-025-00517-1
Stirling, D A, From Hippocrates to COVID-19: A Bibliographic History of Medicine, From Hippocrates to COVID-19: A Bibliographic History of Medicine (Jenny Stanford Publishing, 2023), doi:10.1201/9781003282785
Suparyati, Atik, Indah Widiastuti, Ida Nugroho Saputro, and Nugroho Agung Pambudi, ‘The Role of Artificial Intelligence (AI) in Vocational Education’, Jurnal Ilmiah Pendidikan Teknik Dan Kejuruan, 17.1 (2023), doi:10.20961/jiptek.v17i1.75995
Tolentino, et al, ‘Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review’, JMIR Medical Education, 10 (2024), p. e54793, doi:10.2196/54793
Tripathi, Chhabi Ratna, ‘Awareness of Artificial Intelligence (AI) among Undergraduate Students’, NPRC Journal of Multidisciplinary Research, 1.7 (2024), pp. 126–42, doi:10.3126/nprcjmr.v1i7.72478
Valverde-Berrocoso, et al, ‘Trends in Educational Research about E-Learning: A Systematic Literature Review (2009–2018)’, Sustainability, 12.12 (2020), p. 5153, doi:10.3390/su12125153
Varma, Jonny R, Sherwin Fernando, Brian Y Ting, Shahrukh Aamir, and Rajesh Sivaprakasam, ‘The Global Use of Artificial Intelligence in the Undergraduate Medical Curriculum: A Systematic Review’, Cureus, 2023, doi:10.7759/cureus.39701
Weidmann, Anita Elaine, ‘Artificial Intelligence in Academic Writing and Clinical Pharmacy Education: Consequences and Opportunities’, International Journal of Clinical Pharmacy, 46.3 (2024), pp. 751–54, doi:10.1007/s11096-024-01705-1
Yue, Miao, Morris Siu-Yung Jong, and Yun Dai, ‘Pedagogical Design of K-12 Artificial Intelligence Education: A Systematic Review’, Sustainability, 14.23 (2022), p. 15620, doi:10.3390/su142315620
Zhou, Chenxue, ‘Teacher’s Perceptions of Applying Artificial Intelligence in Education: A Systematic Review’, World Journal of Social Science Research, 11.3 (2024), p. p62, doi:10.22158/wjssr.v11n3p62
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