Plugged and Unplugged Coding Approaches for Developing Computational Thinking in Early Childhood: A Systematic Literature Review
DOI:
https://doi.org/10.21107/njcr.v3i2.222Keywords:
Computational thinking, Early childhood education, Coding education, Plugged coding, Unplugged codingAbstract
Background of the study: The integration of coding activities in early childhood education has gained increasing attention as computational thinking (CT) is recognized as an essential twenty-first-century skill. Previous studies have explored both plugged and unplugged coding approaches for young children; however, limited research has systematically synthesized and compared the empirical evidence regarding their effectiveness in developing computational thinking among children aged 4–6 years, particularly within the context of developing countries and resource-limited early childhood education settings.
Aims and scope of paper: This study aimed to identify patterns, contradictions, and the strength of empirical evidence related to plugged and unplugged coding approaches in fostering computational thinking skills among early childhood learners through a systematic literature review.
Methods: This study employed a systematic literature review design guided by the PRISMA 2020 framework. A total of 30 scholarly articles published between 2020 and 2025 and indexed in Scopus and SINTA were selected through predefined inclusion and exclusion criteria. The selected studies were analyzed using critical thematic synthesis to examine trends, learning outcomes, pedagogical characteristics, and contextual implementation of plugged and unplugged coding approaches in early childhood education.
Results: The findings revealed that unplugged coding approaches consistently supported the development of foundational algorithmic understanding, problem decomposition, collaboration, and social interaction among young children. In contrast, plugged coding approaches demonstrated stronger contributions to abstraction visualization, sequential reasoning, and cognitive flexibility through interactive digital environments. The review found no absolute superiority between the two approaches, as both provided complementary contributions to computational thinking development. Furthermore, contextual factors such as teacher readiness, technological infrastructure, children’s developmental stages, and institutional resources significantly influenced the effectiveness of implementation.
Contribution: The framework combines Piagetian cognitive development principles, Vygotskian scaffolding perspectives, and contextual resource considerations relevant to early childhood institutions in developing countries, particularly Indonesia.
References
Akiba, D. (2022). Computational thinking and coding for young children: A hybrid approach to link unplugged and plugged activities. Education Sciences, 12(11), 793. https://doi.org/10.3390/educsci12110793
Chen, P., Yang, D., Metwally, A. H. S., Lavonen, J., & Wang, X. (2023). Fostering computational thinking through unplugged activities: A systematic literature review and meta-analysis. International Journal of STEM Education, 10(1), Article 34. https://doi.org/10.1186/s40594-023-00434-7
Claerhout, C., & Fanchamps, N. (2025). The effect of unplugged and plugged-in programming with influencing factor of collaborative versus individual work regarding the impact on computational thinking in preschoolers. In I. Author & A. Editor (Eds.), Proceedings of the European Conference on Technology Enhanced Learning (pp. 123–137). Springer. https://doi.org/10.1007/978-3-032-03870-8_9
Delavari, S., Pourahmadi, M., & Barzkar, F. (2023). What quality assessment tool should I use? A practical guide for systematic reviews authors. Iranian Journal of Medical Sciences, 48(3), 229–236. https://doi.org/10.30476/ijms.2022.95143.2664
Dzvapatsva, G. P., & Matobobo, C. (2025). Innovative approaches in teaching coding skills to young children: A scoping review. Educational Technology Quarterly, 2025(3), 330–354. https://doi.org/10.55056/etq.916
Garcia-Marques, M. E., Perez-Suay, A., & Garcia-Bayona, I. (in press). Plugged or unplugged? A comparative study of computational thinking development in early childhood. Education Sciences. https://doi.org/10.3390/educsci16020333
Harper, F. (2024). An unplugged remix of culturally responsive computing for early childhood education. Future in Educational Research, 2(1), 41–55. https://doi.org/10.1002/fer3.41
Kumala, R. A. D., Fathiyah, K. N., & Krisnani, R. V. R. (2023). Computational thinking pada anak usia dini: Tinjauan sistematis. Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini, 7(3), 3418–3436. https://doi.org/10.31004/obsesi.v7i3.4520
Lan, H., Yu, X., Wang, Z., Wang, P., Sun, Y., Wang, Z., & Chen, Y. (2023). How about the evidence assessment tools used in education and management systematic reviews? Frontiers in Medicine, 10, 1160289. https://doi.org/10.3389/fmed.2023.1160289
Lin, Y.-H., Liao, H.-C., Weng, S.-H., & Dong, W.-C. (2024). Comparing the effects of plugged-in and unplugged activities on computational thinking development in young children. Education and Information Technologies, 29(8), 9541–9574. https://doi.org/10.1007/s10639-023-12181-x
McCormick, K. I., & Hall, J. A. (2022). Computational thinking learning experiences, outcomes, and research in preschool settings: A scoping review of literature. Education and Information Technologies, 27, 3777–3812. https://doi.org/10.1007/s10639-021-10765-z
Metin, S. (2022). Activity-based unplugged coding during the preschool period. International Journal of Technology and Design Education, 32(1), 149–165. https://doi.org/10.1007/s10798-020-09616-8
Montuori, C., Gambarota, F., Altoe, G., & Arfe, B. (2024). The cognitive effects of computational thinking: A systematic review and meta-analytic study. Computers & Education, 210, 104961. https://doi.org/10.1016/j.compedu.2023.104961
Montuori, C., Gambarota, F., Altoe, G., & Arfe, B. (2024). The cognitive effects of computational thinking: A systematic review and meta-analytic study. Computers & Education, 210, 104961. https://doi.org/10.1016/j.compedu.2023.104961
Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 143. https://doi.org/10.1186/s12874-018-0611-x
Munn, Z., Stone, J. C., Aromataris, E., Klugar, M., Sears, K., Leonardi-Bee, J., & Barker, T. H. (2023). Assessing the risk of bias of quantitative analytical studies: Introducing the vision for critical appraisal within JBI systematic reviews. JBI Evidence Synthesis, 21(3), 467–471. https://doi.org/10.11124/JBIES-22-00271
Oktaviani, P., Diana, D., Waluyo, E., & Formen, A. (2025). Unplugged coding to develop computational and collaborative thinking in early childhood education. JPUD - Jurnal Pendidikan Usia Dini, 19(2), 228–235. https://doi.org/10.21009/jpud.v19i2.57818
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.
Piaget, J. (1972). The psychology of the child. Basic Books.
Relkin, E., De Ruiter, L. E., & Bers, M. U. (2021). Learning to code and the acquisition of computational thinking by young children. Computers & Education, 169, 104222. https://doi.org/10.1016/j.compedu.2021.104222
Sayginer, S., & Tuzun, H. (2025). Investigation of the effects of unplugged coding activities developed for preschool on motivation, computational thinking and problem-solving skills. Education and Information Technologies. Advance online publication. https://doi.org/10.1007/s10639-025-13752-w
Su, J., & Yang, W. (2023). A systematic review of integrating computational thinking in early childhood education. Computers and Education Open, 4, 100122. https://doi.org/10.1016/j.caeo.2023.100122
Suwahyo, B. W. (2024). Coding learning approaches for early childhood: A systematic review. Edcomtech: Jurnal Kajian Teknologi Pendidikan, 9(2), 66–78. https://doi.org/10.17977/um039v9i22024p66
Wang, X. C., Choi, Y., Benson, K., Eggleston, C., & Weber, D. (2023). Teacher’s role in fostering preschoolers’ computational thinking: An exploratory case study. In X. C. Wang (Ed.), Developing culturally and developmentally appropriate early STEM learning experiences (pp. 26–48). Routledge.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
Yang, W., Su, J., & Li, H. (2024). Demystifying early childhood computational thinking: An umbrella review to upgrade the field. Future in Educational Research, 2(4), 458–477. https://doi.org/10.1002/fer3.38
Zeng, Y., Yang, W., & Bautista, A. (2023a). Computational thinking in early childhood education: Reviewing the literature and redeveloping the three-dimensional framework. Educational Research Review, 39, 100520. https://doi.org/10.1016/j.edurev.2023.100520
Zeng, Y., Yang, W., & Bautista, A. (2023b). Teaching programming and computational thinking in early childhood education: A case study of content knowledge and pedagogical knowledge. Frontiers in Psychology, 14, Article 1252718. https://doi.org/10.3389/fpsyg.2023.1252718
Zhang, X., Chen, Y., Hu, L., Hwang, G.-J., & Tu, Y.-F. (2025). Developing preschool children’s computational thinking and executive functions: Unplugged vs. robot programming activities. International Journal of STEM Education, 12(1), 10. https://doi.org/10.1186/s40594-025-00510-2
Zurnaci, B., & Turan, Z. (2024). Educational robotics or unplugged coding activities in kindergartens? Comparison of the effects on pre-school children’s computational thinking and executive function skills. Thinking Skills and Creativity, 53, Article 101576. https://doi.org/10.1016/j.tsc.2024.101576
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Anita Damayanti, Ajeng Afkarina Irvana Bella, Imelda Indah Lestari, Dewi Mayangsari

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors publishing in this journal agree to the following terms:
1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.