Review Article
Building digital thinkers: A bibliometric analysis of computational thinking in children’s education for a sustainable future
More Detail
1 Center for Language, National Defence University of Malaysia, Kuala Lumpur, MALAYSIA2 Faculty of Education and Liberal Arts, INTI International University Malaysia, Nilai, MALAYSIA3 Faculty of Science and Defence Technology, National Defence University of Malaysia, Kuala Lumpur, MALAYSIA4 School of Teacher Education, Pingdingsan University, Pingdinshan, Henan, CHINA5 Department of Global University Rankings, Iran University of Medical Sciences, Tehran, IRAN* Corresponding Author
Contemporary Educational Technology, 17(3), July 2025, ep581, https://doi.org/10.30935/cedtech/16309
Published Online: 01 May 2025, Published: 01 July 2025
OPEN ACCESS 2706 Views 1664 Downloads
ABSTRACT
Computational thinking (CT) has emerged as a foundational skill for young learners, preparing them to navigate and contribute to an increasingly digital world. This bibliometric analysis utilizes 374 articles from the Web of Science database to explore the research landscape surrounding CT in children’s learning, focusing on its applications in language acquisition and cognitive development. Using co-citation and keyword co-occurrence analyses, the study identifies key thematic clusters, including CT’s integration into curricula, its role in enhancing critical thinking, and its social-emotional benefits. Findings suggest that CT holds significant potential in advancing equitable and inclusive education, aligning with Sustainable Development Goal (SDG) 4 by promoting accessible, high-quality learning experiences. Furthermore, CT’s interactive and problem-solving methodologies, such as coding exercises and robotics, actively engage children and encourage collaborative learning, directly supporting SDG 10 by reducing educational inequalities across diverse learning environments. This analysis not only highlights CT’s transformative impact on traditional educational practices but also reveals critical research gaps, particularly in the areas of inclusivity and accessibility. Future research is encouraged to investigate these areas further, advancing sustainable educational strategies that equip children with essential skills for a rapidly evolving technological landscape, thus fostering resilience, adaptability, and creativity among young learners.
CITATION (APA)
Mee, R. W. M., Yob, F. S. C., Pek, L. S., Rauf, M. F. A., Mingmei, Y., & Derahvasht, A. (2025). Building digital thinkers: A bibliometric analysis of computational thinking in children’s education for a sustainable future. Contemporary Educational Technology, 17(3), ep581. https://doi.org/10.30935/cedtech/16309
REFERENCES
- Agbo, F., Yigzaw, S., Sanusi, I., Oyelere, S., & Mare, A. (2021). Examining theoretical and pedagogical foundations of computational thinking in the context of higher education. In Proceedings of the 2021 IEEE Frontiers in Education Conference (pp. 1–8). IEEE. https://doi.org/10.1109/FIE49875.2021.9637405
- Angeli, C., & Giannakos, M. (2020). Computational thinking education: Issues and challenges. Computers in Human Behavior, 105, Article 106185. https://doi.org/10.1016/j.chb.2019.106185
- Angeli, C., & Valanides, N. (2020). Developing young children’s computational thinking with educational robotics: An interaction effect between gender and scaffolding strategy. Computers in Human Behavior, 105, Article 105954. https://doi.org/10.1016/j.chb.2019.03.018
- Ballard, E., & Haroldson, R. (2021). Analysis of computational thinking in children’s literature for K-6 students: Literature as a non-programming unplugged resource. Journal of Educational Computing Research, 59, 1487–1516. https://doi.org/10.1177/07356331211004048
- Baroutsis, A., White, S. L., Ferdinands, E., Lambert, E., & Goldsmith, W. (2019). Computational thinking as a foundation for coding: Developing student engagement and learning. Australian Primary Mathematics Classroom, 24(2), 10–15.
- Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community?. ACM Inroads, 2(1), 48–54. https://doi.org/10.1145/1929887.1929905
- Bers, M. U. (2017). Coding as a playground: Programming and computational thinking in the early childhood classroom. Routledge. https://doi.org/10.4324/9781315398945
- Bers, M. U. (2019). Coding as another language: A pedagogical approach for teaching computer science in early childhood. Journal of Computers in Education, 6(4), 499–528. https://doi.org/10.1007/s40692-019-00147-3
- Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145–157. https://doi.org/10.1016/j.compedu.2013.10.020
- Bhuyan, A., Sanguri, K., & Sharma, H. (2021). Improving the keyword co-occurrence analysis: An integrated semantic similarity approach. In Proceedings of the 2021 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 482–487). IEEE. https://doi.org/10.1109/IEEM50564.2021.9673030
- Cano, S., Naranjo, J., Henao, C., Rusu, C., & Albiol-Pérez, S. (2020). Serious game as support for the development of computational thinking for children with hearing impairment. Applied Sciences, 11(1), Article 115. https://doi.org/10.3390/app11010115
- Elkin, M., Sullivan, A., & Bers, M. U. (2016). Programming with the KIBO robotics kit in preschool classrooms. Computers in the Schools, 33(3), 169–186. https://doi.org/10.1080/07380569.2016.1216251
- Fessakis, G., Gouli, E., & Mavroudi, E. (2013). Problem solving by 5–6 years old kindergarten children in a computer programming environment: A case study. Computers & Education, 63, 87–97. https://doi.org/10.1016/j.compedu.2012.11.016
- Flórez, F. B., Casallas, R., Hernández, M., Reyes, A., Restrepo, S., & Danies, G. (2017). Changing a generation’s way of thinking: Teaching computational thinking through programming. Review of Educational Research, 87(4), 834–860. https://doi.org/10.3102/0034654317710096
- García-Peñalvo, F. J., Corell, A., Abella-García, V., & Grande-de-Prado, M. (2021). Recommendations for mandatory online assessment in higher education during the COVID-19 pandemic. In D. Burgos, A. Tlili, A. Tabacco (Eds.), Radical solutions for education in a crisis context (pp. 85–98). Springer. https://doi.org/10.1007/978-981-15-7869-4_6
- Ghani, A., Griffiths, D., Salha, S., Affouneh, S., Khalili, F., Khlaif, Z., & Burgos, D. (2022). Developing teaching practice in computational thinking in Palestine. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.870090
- Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42(1), 38–43. https://doi.org/10.3102/0013189X12463051
- Herbert, K., Anu, V., Sultana, K., Robila, S., Miller, J., Hagiwara, S., Goldstein, R., & Marlowe, T. (2022). Professional and capacity building in K-12 computer science education: A multi-faceted approach. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education (pp. 1384–1384). ACM. https://doi.org/10.1145/3545947.3576329
- Jacobs, D., Bobic, A., & Gütl, C. (2022). Comparison of network and readability properties with traditional bibliometric properties in the Journal of Universal Computer Science. In Proceedings of the 2022 9th International Conference on Social Networks Analysis, Management and Security (pp. 1–8). https://doi.org/10.1109/SNAMS58071.2022.10062567
- Kazakoff, E. R., Sullivan, A., & Bers, M. U. (2013). The effect of a classroom-based intensive robotics and programming workshop on sequencing ability in early childhood. Early Childhood Education Journal, 41, 245–255. https://doi.org/10.1007/s10643-012-0554-5
- Kleminski, R., Kazienko, P., & Kajdanowicz, T. (2020). Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification. Journal of Information Science, 48, 349–373. https://doi.org/10.1177/0165551520962775
- Leonard, J., Buss, A., Gamboa, R., Mitchell, M., Fashola, O. S., Hubert, T., & Almughyirah, S. (2016). Using robotics and game design to enhance children’s self-efficacy, STEM attitudes, and computational thinking skills. Journal of Science Education and Technology, 25, 860–876. https://doi.org/10.1007/s10956-016-9628-2
- 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/10.1016/j.chb.2014.09.012
- Maharani, S., Susanti, V., Andari, T., Krisdiana, I., & Astuti, I. (2023). Trend publication of computational thinking in mathematics education: Bibliometric review. Jurnal Ilmiah Pendidikan Matematika, 12(1), 22–32. https://doi.org/10.25273/jipm.v12i1.17654
- Nagumo, H., Oomori, Y., & Takemura, Y. (2021). Mutual improvement between teaching materials and assessment tools for K-12 programming education. In Proceedings of the 2021 IEEE Frontiers in Education Conference (pp. 1–8). IEEE. https://doi.org/10.1109/FIE49875.2021.9637257
- Papadakis, S. (2021). The impact of coding apps to support young children in computational thinking and computational fluency. A literature review. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.657895
- Papadakis, S., Kalogiannakis, M., & Zaranis, N. (2016). Developing fundamental programming concepts and computational thinking with ScratchJr in preschool education: A case study. International Journal of Mobile Learning and Organisation, 10(3), 187–202. https://doi.org/10.1504/IJMLO.2016.077867
- Papert, S. A. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.
- Papert, S. A. (1990). Children, computers and powerful ideas. Basic Books.
- Parsazadeh, N., Cheng, P., Wu, T., & Huang, Y. (2020). Integrating computational thinking concept into digital storytelling to improve learners’ motivation and performance. Journal of Educational Computing Research, 59, 470–495. https://doi.org/10.1177/0735633120967315
- Rafiq, A., Triyono, M., Djatmiko, I., Wardani, R., & Köhler, T. (2023). Mapping the evolution of computational thinking in education: A bibliometrics analysis of Scopus database from 1987 to 2023. Informatics in Education, 22(4), 691–724. https://doi.org/10.15388/infedu.2023.29
- Rehmat, A., Ehsan, H., & Cardella, M. (2020). Instructional strategies to promote computational thinking for young learners. Journal of Digital Learning in Teacher Education, 36, 46–62. https://doi.org/10.1080/21532974.2019.1693942
- Relkin, E., & Bers, M. U. (2021). Factors influencing learning of computational thinking skills in young children. In Proceedings of the 2021 AERA Annual Meeting. https://doi.org/10.3102/1687044
- Relkin, E., de Ruiter, L. E., & Bers, M. U. (2020). TechCheck: Development and validation of an unplugged assessment of computational thinking in early childhood education. Journal of Science Education and Technology, 29, 482–498. https://doi.org/10.1007/s10956-020-09831-x
- 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, Article 104222. https://doi.org/10.1016/j.compedu.2021.104222
- Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B., & Kafai, Y. (2009). Scratch: Programming for all. Communications of the ACM, 52(11), 60–67. http://doi.acm.org/10.1145/1592761.1592779
- Román-González, M., Pérez-González, J. C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the computational thinking test. Computers in Human Behavior, 72, 678–691. https://doi.org/10.1016/j.chb.2016.08.047
- Rottenhofer, M., Sabitzer, B., & Rankin, T. (2021). Developing computational thinking skills through modeling in language lessons. Open Education Studies, 3, 17–25. https://doi.org/10.1515/edu-2020-0138
- Saxena, A., Lo, C. K., Hew, K. F., & Wong, G. K. W. (2020). 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
- Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/j.edurev.2017.09.003
- Tabesh, Y. (2017). Computational thinking: A 21st century skill. Olympiads in Informatics, 11(2), 65–70. https://doi.org/10.15388/IOI.2017.SPECIAL.10
- Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148, Article 103798. https://doi.org/10.1016/j.compedu.2019.103798
- Tekdal, M. (2021). Trends and development in research on computational thinking. Education and Information Technologies, 26, 6499–6529. https://doi.org/10.1007/s10639-021-10617-w
- Voogt, J., Fisser, P., Good, J., Mishra, P., & Yadav, A. (2015). Computational thinking in compulsory education: Towards an agenda for research and practice. Education and Information Technologies, 20, 715–728. https://doi.org/10.1007/s10639-015-9412-6
- Wang, X. C., Choi, Y., Benson, K., Eggleston, C., & Weber, D. (2021). Teacher’s role in fostering preschoolers’ computational thinking: An exploratory case study. Early Education and Development, 32, 26–48. https://doi.org/10.1080/10409289.2020.1759012
- Weintrop, D., Rutstein, D., Bienkowski, M., & McGee, S. (2021). Assessing computational thinking: An overview of the field. Computer Science Education, 31, 113–116. https://doi.org/10.1080/08993408.2021.1918380
- Wider, W., Jiang, L., Lin, J., Fauzi, M. A., Li, J., & Chan, C. K. (2024). Metaverse chronicles: A bibliometric analysis of its evolving landscape. International Journal of Human-Computer Interaction, 40(17), 4873–4886. https://doi.org/10.1080/10447318.2023.2227825
- Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
- Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118
- Xie, Z., Radloff, J., Wong, G., & Yeter, I. (2022). The future nexus of computational thinking education: A preliminary systematic review of reviews. In Proceedings of the 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (pp. 548–553). IEEE. https://doi.org/10.1109/TALE54877.2022.00096
- Zárate-Pérez, E., Cornejo-Carbajal, C., Melgarejo-Alcántara, M., Ramos-Moreno, J., & Acevedo-Carrillo, M. (2023). Design thinking capabilities in the STEAM education: A bibliometric analysis. LACCEI, 1(8). https://doi.org/10.18687/LACCEI2023.1.1.294
- Zhaisanova, D., & Mansurova, M. (2023). A bibliometric study on blockchain concept: A theme analysis and future directions for computer science training. Scientific Journal of Astana IT University, 15, 41–54. https://doi.org/10.37943/15owjc3702
The articles published in this journal are licensed under the CC-BY Creative Commons Attribution International License.