Assessing Computational Thinking Practices and Engagement: Primary Teachers’ Reflections on an Unplugged Activity

Keywords: assessment, computational thinking, primary school, STEM education, unplugged

Abstract

Developing computational thinking in early primary education has gained increasing attention, with unplugged methods recognised as particularly effective for young learners. However, teachers’ assessment of computational thinking, especially through process-oriented approaches, remains underexplored. The present study investigates how the participating Slovenian primary school teachers assessed computational thinking practices and students’ engagement during an unplugged activity based on Bebras Challenge tasks. The results show that the teachers most frequently identified algorithmic thinking, pattern recognition and debugging, while decomposition and abstraction were observed less commonly. The activity received high ratings regarding the students’ motivation and engagement, which several of the teachers attributed to the fact that it was conducted outdoors and involved physical movement. Collaboration and communication were also positively evaluated, although some teachers noted that competitiveness occasionally distracted the students. Overall, the findings support the feasibility of using process-oriented observation to assess computational thinking practices in unplugged settings, highlighting the need for targeted professional development to help teachers implement and assess computational thinking meaningfully. These insights contribute to the growing body of research on computational thinking assessment in primary education, underscoring the importance of providing teachers with structured support and context-specific tools.

Downloads

Download data is not yet available.

References

Antunović-Piton, B., & Baranović, N. (2022). Factors affecting success in solving a stand-alone geometrical problem by students aged 14 to 15. Center for Educational Policy Studies Journal, 12(1), 55–79. https://doi.org/10.26529/cepsj.889

Bell, T., & Roberts, J. (2016). Computational thinking is more about humans than computers. Set: Research Information for Teachers, 2016(1), 3–7. https://doi.org/10.18296/set.0030

Bell, T., & Vahrenhold, J. (2018). CS unplugged – How is it used, and does it work? In H. J. Böckenhauer, D. Komm, & W. Unger (Eds.), Adventures between lower bounds and higher altitudes (pp. 497–521). Springer. https://doi.org/10.1007/978-3-319-98355-4_29

Bers, M. U. (2020). Coding as a playground: Programming and computational thinking in the early childhood classroom (2nd ed.). Routledge. https://doi.org/10.4324/9781003022602

Bocconi, S., Chioccariello, A., Kampylis, P., Dagienė, V., Wastiau, P., Engelhardt, K., Earp, J., Horvath, M. A., Jasutė, E., Malagoli, C., Masiulionytė-Dagienė, V., & Stupurienė, G. (2022). Reviewing computational thinking in compulsory education. Publications Office of the European Union. https://doi.org/10.2760/126955

Brackmann, C. P., Román-González, M., Robles, G., Moreno-León, J., Casali, A., & Barone, D. (2017). Development of computational thinking skills through unplugged activities in primary school. In E. Barendsen, & P. Hubwieser (Eds.), Proceedings of the 12th Workshop on Primary and Secondary Computing Education – WiPSCE’17 (pp. 65–72). Association for Computing Machinery. https://doi.org/10.1145/3137065.3137069

Brennan, K., & Resnick, M. (2012, April 13–17). New frameworks for studying and assessing computational thinking [Paper presentation]. Annual Meeting of the American Educational Research Association, Vol. 1, Vancouver, Canada.

Caeli, E. N., & Yadav, A. (2020). Unplugged approaches to computational thinking: A historical perspective. TechTrends, 64(1), 29–36. https://doi.org/10.1007/s11528-019-00410-5

Cortina, T. J. (2015). Reaching a broader population of students through “unplugged” activities. Commun. ACM, 58(3), 25–27. https://doi.org/10.1145/2723671

Del Olmo-Muñoz, J., Cózar-Gutiérrez, R., & González-Calero, J. A. (2020). Computational thinking through unplugged activities in early years of primary education. Computers & Education, 150, Article 103832. https://doi.org/10.1016/j.compedu.2020.103832

Fields, D. A., Lui, D., & Kafai, Y. B. (2019). Teaching computational thinking with electronic textiles: Modeling iterative practices and supporting personal projects in exploring computer science. In S.-C. Kong, & H. Abelson (Eds.), Computational Thinking Education (pp. 279–294). Springer. https://doi.org/10.1007/978-981-13-6528-7_16

Hodnik, T., & Kolar, V. M. (2022). Problem solving and problem posing: From conceptualisation to implementation in the mathematics classroom. Center for Educational Policy Studies Journal, 12(1), 7–12. https://doi.org/10.26529/cepsj.1418

Humble, N., & Mozelius, P. (2023). Grades 7–12 teachers’ perception of computational thinking for mathematics and technology. Frontiers in Education, 8, Article 956618. https://doi.org/10.3389/feduc.2023.956618

Kónya, E., & Kovács, Z. (2022). Management of problem solving in a classroom context. Center for Educational Policy Studies Journal, 12(1), 81–101. https://doi.org/10.26529/cepsj.895

Liu, W., & Hu, L. (2025). Unplugged programming practice in Chinese rural primary schools: A method to foster students’ computational thinking and resilience. Interactive Learning Environments, 33(1), 387–407. https://doi.org/10.1080/10494820.2024.2349883

Looi, C.-K., How, M.-L., Longkai, W., Seow, P., & Liu, L. (2018). Analysis of linkages between an unplugged activity and the development of computational thinking. Computer Science Education, 28(3), 255–279. https://doi.org/10.1080/08993408.2018.1533297

National Research Council. (2001). Knowing what students know: The science and design of educational assessment. National Academies Press.

Papadopoulos, I., Patsiala, N., Baumanns, L., & Rott, B. (2022). Multiple approaches to problem posing: Theoretical considerations regarding its definition, conceptualisation, and implementation. Center for Educational Policy Studies Journal, 12(1), 13–34. https://doi.org/10.26529/cepsj.878

Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books, Inc.

Poulakis, E., & Politis, P. (2021). Computational thinking assessment: Literature review. In T. Tsiatsos, S. Demetriadis, A. Mikropoulos, & V. Dagdilelis (Eds.), Research on e-learning and ICT in education: Technological, pedagogical and instructional perspectives (pp. 111–128). Springer International Publishing. https://doi.org/10.1007/978-3-030-64363-8_7

Rich, K. M., Yadav, A., & Larimore, R. A. (2020). Teacher implementation profiles for integrating computational thinking into elementary mathematics and science instruction. Education and Information Technologies, 25(4), 3161–3188. https://doi.org/10.1007/s10639-020-10115-5

Rich, P. J., Mason, S. L., & O’Leary, J. (2021). Measuring the effect of continuous professional development on elementary teachers’ self-efficacy to teach coding and computational thinking. Computers & Education, 168, Article 104196. https://doi.org/10.1016/j.compedu.2021.104196

Saldaña, J. (2021). The coding manual for qualitative researchers. SAGE Publications Ltd.

Sherwood, H., Culp, K. M., Ferguson, C., Kaiser, A., Henry, M., & Negron, A. (2024). Teacher practices for formatively assessing computational thinking with early elementary learners. Education Sciences, 14(11), Article 1250. https://doi.org/10.3390/educsci14111250

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

Skrbinjek, V., Vičič Krabonja, M., Aberšek, B., & Flogie, A. (2024). Enhancing teachers’ creativity with an innovative training model and knowledge management. Education Sciences, 14(12), Article 1381. https://doi.org/10.3390/educsci14121381

Škrobar, J., Golob, N., & Flogie, A. (2025). Promoting computational thinking in primary education: An unplugged approach with team-based activity. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), Proceedings of the 19th International Technology, Education and Development Conference – INTED2025 (pp. 3528–3532). IATED. https://doi.org/10.21125/inted.2025.0895

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

Ukkonen, A., Pajchel, K., & Mifsud, L. (2025). Teachers’ understanding of assessing computational thinking. Computer Science Education, 35(4), 794–819. https://doi.org/10.1080/08993408.2024.2365566

Ukkonen, A., Yadav, A., Pajchel, K., & Xenofontos, C. (2024). Elementary teachers assessing computational thinking. Journal of Technology and Teacher Education, 32(4), 521–546. https://www.learntechlib.org/primary/p/225061/

Weigend, M., Vaníček, J., Pluhár, Z., & Pesek, I. (2019). Computational thinking education through creative unplugged activities. Olympiads in Informatics, 13, 171–192. https://doi.org/10.15388/ioi.2019.11

Weintrop, D., Rutstein, D., Bienkowski, M., & McGee, S. (2021). Assessment of computational thinking. In A. Yadav, & U. Berthelsen (Eds.), Computational thinking in education (pp. 90–111). Routledge. https://doi.org/10.4324/9781003102991-6

Wing, J. M. (2006). Computational thinking. Commun. ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2017). Computational thinking’s influence on research and education for all. Italian Journal of Educational Technology, 25(2), Article 2. https://doi.org/10.17471/2499-4324/922

Wu, T.-T., Asmara, A., Huang, Y.-M., & Permata Hapsari, I. (2024). Identification of problem-solving techniques in computational thinking studies: Systematic literature review. Sage Open, 14(2), Article 21582440241249897. https://doi.org/10.1177/21582440241249897

Yadav, A., Burkhart, D., Moix, D., Snow, E., Bandaru, P., & Clayborn, L. (2015). Sowing the seeds: A landscape study on assessment in secondary computer science education. Computer Science Teachers Association.

Yadav, A., Caeli, E. N., Ocak, C., & Macann, V. (2022). Teacher education and computational thinking: Measuring pre-service teacher conceptions and attitudes. In B. A. Becker, K. Quille, M.-J. Laakso, & E. Barendsen (Eds.), Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education (pp. 547–553). Association for Computing Machinery. https://doi.org/10.1145/3502718.3524783

Yadav, A., Good, J., Voogt, J., Fisser, P. (2017). Computational thinking as an emerging competence domain. In M. Mulder (Ed.), Competence-based vocational and professional education. technical and vocational education and training: Issues, concerns and prospects (pp. 1051–1067). Springer. https://doi.org/10.1007/978-3-319-41713-4_49

Yadav, A., Ocak, C., & Oliver, A. (2022). Computational thinking and metacognition. TechTrends, 66(3), 405–411. https://doi.org/10.1007/s11528-022-00695-z

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, Article 100520. https://doi.org/10.1016/j.edurev.2023.100520

Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through Scratch in K-9. Computers & Education, 141, Article 103607. https://doi.org/10.1016/j.compedu.2019.103607

Published
2025-12-19
How to Cite
Škrobar, J., Flogie, A., Lipovec, A., & Golob, N. (2025). Assessing Computational Thinking Practices and Engagement: Primary Teachers’ Reflections on an Unplugged Activity. Center for Educational Policy Studies Journal, 15(4), 89–110. https://doi.org/10.26529/cepsj.2283