A Systematic Literature Review of Adaptive Coding Curriculum and Artificial Intelligence in Indonesian Education using PRISMA and PICOC Frameworks

DOI

10.2991/978-94-6463-938-4_7How to use a DOI?

Keywords

education curriculum; PICOC; planning-conducting; PRISMA; SLR; VOSviewer

Abstract

The era of Industry 4.0 and Society 5.0 requires a transformative approach to curriculum development in integrating adaptive coding education and artificial intelligence (CEAI) to enhance digital literacy and global competitiveness. This study presents a systematic literature review (SLR) analyzing the implementation and impact of adaptive coding curriculum and AI applications within Indonesian education. Employing the PRISMA framework and the PICOC (Population, Intervention, Comparison, Outcome, Context) technique, the review focuses on students and educators across primary to vocational education levels. A comprehensive search of relevant publications from 2020 to mid-2025 yielded 97 studies from an initial 6002 records. The narrative synthesis identifies key thematic clusters, including pedagogical strategies, skill development, technological challenges, and evaluation methodologies. Quantitative research predominates, with emphasis on learning processes and student outcomes, while AI integration and curriculum adaptation emerge as critical research gaps. Findings indicate that adaptive coding curricula significantly improve learning outcomes; however, infrastructural limitations and uneven teacher competency remain major barriers. This study underscores the urgent need for collaborative efforts and targeted professional development to ensure equitable and effective implementation of adaptive coding and AI-driven curriculum across Indonesia.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Rufii Rufii
AU  - Sabariah Sabariah
AU  - Rakha Asyrofi
PY  - 2025
DA  - 2025/12/31
TI  - A Systematic Literature Review of Adaptive Coding Curriculum and Artificial Intelligence in Indonesian Education using PRISMA and PICOC Frameworks
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025
PB  - Atlantis Press
SP  - 47
EP  - 57
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-938-4_7
DO  - 10.2991/978-94-6463-938-4_7
ID  - Rufii2025
ER  -