Teacher Development Models for Integrating Computational Thinking in Early Childhood Education: A Systematic Literature Review

Muthia Atika Fajri, Heny Djoehaeni, Rita Mariyana

Abstract


Computational Thinking (CT) is widely acknowledged as a core competency in 21st-century education; however, its integration in Early Childhood Education (ECE) is limited by the absence of systematic teacher development frameworks.This study conducts a systematic literature review of 12 peer-reviewed articles published between 2016 and 2025, sourced from ERIC and Scopus. The analysis focuses on identifying and categorizing existing teacher development models for CT in ECE and examining their implementation and outcomes.Three categories of teacher development models were identified: (1) unplugged play-based models using concrete manipulatives; (2) plugged models emphasizing robotics and block-based coding; and (3) hybrid models integrating concrete and symbolic learning through scaffolding and debugging. Implementation is primarily embedded in daily classroom routines (75%) and supported by peer collaboration (17%), while parental involvement remains limited (8%). Outcomes are predominantly cognitive, with significant improvements in CT skills, problem-solving, and geometric reasoning. Affective outcomes, such as motivation and engagement, show moderate gains. Notable gaps include the lack of validated assessment tools and limited longitudinal evidence on professional development design.This review advances the field by proposing an ECE-specific taxonomy of teacher development models that connects pedagogical approaches with cognitive and affective outcomes. It highlights the importance of a concrete-to-symbolic learning trajectory, sustained professional coaching, and structured home–school partnerships to support developmentally appropriate, scalable, and sustainable CT integration in early education.

Keywords


computational thinking; early childhood education; teacher development; learning models; systematic literature review

Full Text:

PDF

References


Akiba, D. (2022). Computational Thinking and Coding for Young Children: A Hybrid Approach to Link Unplugged and Plugged Activities. Education Sciences, 12(11), 1–18. https://doi.org/10.3390/educsci12110793

Aytekin, A., & Topçu, M. S. (2024). The effect of integrating computational thinking (CT) components into science teaching on 6th grade students’ learning of the circulatory system concepts and CT skills. Education and Information Technologies, 29(7), 8079–8110. https://doi.org/10.1007/s10639-023-12103-x

Bandara, W., & Syed, R. (2023). The Role of Contemporary Pedagogical Technology in ECE: A Systematic Literature Review. Indonesian Journal of Educational Research and Review, 6(1), 99–110.

Bers, M. U. (2021). From Computational Thinking to Computational Doing. IGI Global. 10.4018/978-1-7998-7308-2.ch001

Bocconi, S., Chioccariello, A., Kampylis, P., Dagienė, V., Wastiau, P., Engelhardt, K., Earp, J., Horvath, M., Jasutė, E., Malagoli, C., Masiulionytė-Dagienė, V., & Stupurienė, G. (2019). State of play and practices from computing education Reviewing Computational Thinking in Compulsory Education. https://epublications.vu.lt/object/elaba:124209087/%0Ahttps://epublications.vu.lt/object/elaba:124209087/124209087.pdf

Bubikova-Moan, J., Næss Hjetland, H., & Wollscheid, S. (2019). ECE teachers’ views on play-based learning: a systematic review. European Early Childhood Education Research Journal, 27(6), 776–800. https://doi.org/10.1080/1350293X.2019.1678717

Busuttil, L., Vassallo, D., & Schembri, P. (2025). Computational Thinking: Exploring Approaches in Early Childhood Education. IGI Global. https://doi.org/10.4018/979-8-3693-4542-9.ch002

Critten, V., Hagon, H., & Aslan Unlu, M. (2024). Curriculum Framework and Assessment Approach for Computational Thinking in the Early Years. International Journal of Computer Science Education in Schools, 6(4), 1–22. https://doi.org/10.21585/ijcses.v6i4.230

Davies, S., & Seitamaa-Hakkarainen, P. (2025). Research on K-12 maker education in the early 2020s – a systematic literature review. International Journal of Technology and Design Education, 35(2), 763–788. https://doi.org/10.1007/s10798-024-09921-6

Dolgopolovas, V., & Dagiene, V. (2024). Competency-based TPACK approaches to computational thinking and integrated STEM: A conceptual exploration. Computer Applications in Engineering Education, 32(6), e22788. https://doi.org/https://doi.org/10.1002/cae.22788

Emi, C., Sardin, S., Pramudia, J. R., Sukmana, C., & Ferianti, F. (2024). Educational Technology in Early Childhood Education: A Systematic Literature Review. The Eurasia Proceedings of Educational and Social Sciences, 35, 38–45. https://doi.org/10.55549/epess.799

Falloon, G. (2024). Advancing young students’ computational thinking: An investigation of structured curriculum in early years primary schooling. Computers and Education, 216(4), 1–21. https://doi.org/10.1016/j.compedu.2024.105045

Fessakis, G., Komis, V., Mavroudi, E., & Prantsoudi, S. (2018). Exploring the Scope and the Conceptualization of Computational Thinking at the K-12 Classroom Level Curriculum BT - Computational Thinking in the STEM Disciplines: Foundations and Research Highlights (M. S. Khine (ed.); pp. 181–212). Springer International Publishing. https://doi.org/10.1007/978-3-319-93566-9_10

Foglia, L., & Wilson, R. A. (2013). Embodied cognition. WIREs Cognitive Science, 4(3), 319–325. https://doi.org/https://doi.org/10.1002/wcs.1226

Gane, B. D., Israel, M., Elagha, N., Yan, W., Luo, F., & Pellegrino, J. W. (2021). Design and validation of learning trajectory-based assessments for computational thinking in upper elementary grades. Computer Science Education, 31(2), 141–168. https://doi.org/10.1080/08993408.2021.1874221

Hamidi, Ali. (2025). Advancing computational thinking education: Insights from systems thinking applications. Human Systems Management, 44(1), 157–172. https://doi.org/10.3233/HSM-240024

Hong, D. S., & Choi, K. M. (2018). A comparative analysis of linear functions in Korean and American standards-based secondary textbooks. International Journal of Mathematical Education in Science and Technology, 49(7), 1025–1051. https://doi.org/10.1080/0020739X.2018.1440327

Jean Piaget. (2005). The Psychology of Intelligence.

Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data,. No. 1, 33(1), 159–174. https://doi.org/10.2307/2529310

Lavigne, H. J., Lewis-Presser, A., & Rosenfeld, D. (2020). An exploratory approach for investigating the integration of computational thinking and mathematics for preschool children. Journal of Digital Learning in Teacher Education, 36(1), 63–77. https://doi.org/10.1080/21532974.2019.1693940

Leung, S. K. Y., Wu, J., Li, J. W., Lam, Y., & Ng, O. L. (2025). Examining Young Children’s Computational Thinking through Animation Art. Early Childhood Education Journal, 53(5), 1563–1575. https://doi.org/10.1007/s10643-024-01694-w

Liu, Tongxi. (2024). Relationships Between Executive Functions and Computational Thinking. Journal of Educational Computing Research, 62(5), 1047–1081. https://doi.org/10.1177/07356331241242435

Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12? Computers in Human Behavior, 41, 51–61. https://doi.org/https://doi.org/10.1016/j.chb.2014.09.012

Mendrofa, N. K. (2024). Computational Thinking Skills in 21st Century Mathematics Learning. JIIP - Jurnal Ilmiah Ilmu Pendidikan, 7(1), 792–801. https://doi.org/10.54371/jiip.v7i1.3780

Mills, K., Coenraad, M., Ruiz, P., Burke, Q., & Weisgrau, J. (2021). Computational Thinking for an Inclusive World : A Resource for Educators to Learn and Lead. Digital Promise. https://doi.org/https://doi.org/10.51388/20.500.12265/138

Misirli, A., & Komis, V. (2023). Early Childhood Research Quarterly Computational thinking in early childhood education : The impact of programming a tangible robot on developing debugging knowledge. Early Childhood Research Quarterly, 65(January 2022), 139–158. https://doi.org/10.1016/j.ecresq.2023.05.014

Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097

Muhaimin, L. H., Dasari, D., Hendriyanto, A., Andriatna, R., & Sahara, S. (2025). Can Augmented Reality Enhance Students’ Mathematical Literacy? A Study on Technological Development for Learning Practice. International Journal of Mathematical Education in Science and Technology, 1–34. https://doi.org/10.1080/0020739X.2025.2502398

Muhaimin, L. H., & Kholid, M. N. (2023). Pupils ’ Mathematical Literacy Hierarchy Dimension for solving the minimum competency assessment. AIP Conference Proceedings, 2727(020091), 1–15. https://doi.org/https://doi.org/10.1063/5.0141406

Muhaimin, L. H., Siswanto, R. D., Setiaputra, F. I., Ridho, M. H., Indonesia, U. P., & Maret, U. S. (2023). Students ’ Mathematical Problem-Solving Process on Minimum Competency Assessment Test in the Context of Local Wisdom. Journal of Didactic Studies, 1(1), 23–35.

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., & Moher, D. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103–112.

Passey, D. (2017). Computer science (CS) in the compulsory education curriculum: Implications for future research. Education and Information Technologies, 22(2), 421–443. https://doi.org/10.1007/s10639-016-9475-z

Perez Valdes, G. P., Boude Figueredo, O., & Vargas Sanchez, A. D. (2025). Integrating computational thinking in children aged 3 to 6: challenges and opportunities in early childhood education. Frontiers in Education, 10(10), 1–25. https://doi.org/10.3389/feduc.2025.1535135

Quinn, M. F., Caudle, L. A., & Harper, F. K. (2025). Embracing Culturally Relevant Computational Thinking in the Preschool Classroom: Leveraging Familiar Contexts for New Learning. Early Childhood Education Journal, 53(2), 393–403. https://doi.org/10.1007/s10643-023-01581-w

Sala-Sebastià, G., Breda, A., & Font, V. (2025). Characterising computational and geometric thinking in pre-service Early Childhood Education teachers by playing with MatataLab. Education and Information Technologies, 30(15), 21079–21103. https://doi.org/10.1007/s10639-025-13589-3

Saxena, A., Lo, C. K., Hew, K. F., & Wong, G. K. W. (2020a). Designing Unplugged and Plugged Activities to Cultivate Computational Thinking: An Exploratory Study in Early Childhood Education. The Asia-Pacific Education Researcher, 29(1), 55–66. https://doi.org/10.1007/s40299-019-00478-w

Saxena, A., Lo, C. K., Hew, K. F., & Wong, G. K. W. (2020b). Designing Unplugged and Plugged Activities to Cultivate Computational Thinking: An Exploratory Study in Early Childhood Education. Asia-Pacific Education Researcher, 29(1), 55–66. https://doi.org/10.1007/s40299-019-00478-w

Selamat, S. M. S., Nasir, M. M. K., & Adnan, N. H. (2024). Investigation of Computational Thinking Skills through Instructional Techniques, Games and Programming Tools. International Journal of Learning, Teaching and Educational Research, 23(10), 435–452. https://doi.org/10.26803/ijlter.23.10.21

Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Education and Information Technologies, 18(2), 351–380. https://doi.org/10.1007/s10639-012-9240-x

Sparapani, N., Connor, C. M., Day, S., Wood, T., Ingebrand, S., McLean, L., & Phillips, B. (2019). Profiles of foundational learning skills among first graders. Learning and Individual Differences, 70, 216–227. https://doi.org/https://doi.org/10.1016/j.lindif.2016.07.008

Strawhacker, A., & Bers, M. U. (2019). What they learn when they learn coding: investigating cognitive domains and computer programming knowledge in young children. Educational Technology Research and Development, 67(3), 541–575. https://doi.org/10.1007/s11423-018-9622-x

Tauno Palts, M. P. (2012). Model of Learning Computational Thinking. University of Tartu, Centre for Educational Technology of the Institute of Education, Estonia, 211–221.

Vassallo, D. (2025). Fostering computational thinking in early learners: an iterative approach in a Maltese primary school. Discover Education, 4(1), 1–19. https://doi.org/10.1007/s44217-025-00553-z

Vygotsky, L. S. . (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press.

Wadsworth, B. J. (1996). Piaget’s theory of cognitive and affective development.

Xing, G. Y., Cady, A. G., & Wang, X. C. (2025). Playful Computational Thinking Learning in and Beyond Early Childhood Classrooms: Insights from Collaborative Action Research of Two Teacher-Researchers. Education Sciences, 15(7), 1–23. https://doi.org/10.3390/educsci15070840

Yang, Y., Cai, H., Yang, Z., Zhao, X., Li, M., Han, R., & Chen, S. X. (2022). Why does nature enhance psychological well-being? A Self-Determination account. Journal of Environmental Psychology, 83, 101872. https://doi.org/10.1016/j.jenvp.2022.101872.

Yeni, S., Grgurina, N., Saeli, M., Hermans, F., Tolboom, J., & Barendsen, E. (2024). Interdisciplinary Integration of Computational Thinking in K-12 Education: A Systematic Review. Informatics in Education, 23(1), 223–278. https://doi.org/10.15388/infedu.2024.08

Zeng, Y., Yang, W., & Bautista, A. (2023). Computational thinking in early childhood education: Reviewing the literature and redeveloping the three-dimensional framework. Educational Research Review, 39, 100520. https://doi.org/https://doi.org/10.1016/j.edurev.2023.100520




DOI: https://doi.org/10.35445/alishlah.v18i1.8833

Refbacks

  • There are currently no refbacks.


Copyright (c) 2026 Muthia Atika Fajri

Al-Ishlah Jurnal Pendidikan Abstracted/Indexed by:

    

 


 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.