Investigating Sequencing as a Means to Computational Thinking in Young Children
Keywords:
computational thinking, early childhood education, unplugged activities, sequencingAbstract
Within the field of K-2 CS education, unplugged computational thinking (CT) activities have been suggested as beneficial for younger students and shown to impact young students’ skills and motivation to learn about CS. This study sought to examine how children demonstrate CT competencies in unplugged sequencing tasks and how children use manipulatives to solve unplugged sequencing tasks. This case study approach examined two unplugged sequencing tasks for six children ranging from ages four to seven (pre-kindergarten to 2nd grade). Children showed evidence of several CT competencies during the sequencing tasks: (1) pattern recognition, (2) algorithms and procedures, (3) problem decomposition, and (4) debugging. The strategies and use of manipulatives to showcase CT competencies seemed to evolve in complexity based on age and developmental levels. Taking into account children’s abilities to demonstrate CT competencies, this study suggests that sequencing is a developmentally appropriate entry point for young children to begin engaging in other CT competencies. In addition, these unplugged sequencing tasks can also be easily integrated into other activities commonly experienced in early childhood classrooms.
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Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K-6 computational thinking curriculum framework: Implications for teacher knowledge. Educational Technology & Society, 19(3), 47-57.
Bell, T., Alexander, J., Freeman, I., & Grimley, M. (2009). Computer science unplugged: School students doing real computing without computers. Journal of Applied Computing and Information Technology, 13(1), 20-29.
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
Bers, M. U., & Sullivan, A. (2019). Computer science education in early childhood: The case of ScratchJr. Journal of Information Technology Education. Innovations in Practice, 18, 113-138. https://doi.org/10.28945/4437
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. Workshop in Primary and Secondary Computing Education (WiPSCE ’17), 65-72. https://doi.org/10.1145/3137065.3137069
Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Proceedings of the 2012 Annual Meeting of the American Educational Research Association, 1, 13-17.
Bruner, J. S. (1960). The process of education. Harvard University Press.
Buitrago Flórez, F., Casallas, R., Hernández, M., Reyes, A., Restrepo, S., & Danies, G. (2017, August). 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
Dasgupta, A., & Rynearson, A. M., & Purzer, S., & Ehsan, H., & Cardella, M. E. (2017, June 24-28). Computational thinking in K-2 classrooms: Evidence from student artifacts (fundamental) [Paper presentation]. 2017 ASEE Annual Conference & Exposition, Columbus, OH, United States. https://doi.org/http://doi.org/10.18260/1-2--28062
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, 1-19. https://doi.org/10.1016/j.compedu.2020.103832
Dong, Y., Catete, V., Jocius, R., Lytle, N., Barnes, T., Albert, J., Joshi, D., Robinson, R., & Andrews, A. (2019). PRADA: A practical model for integrating computational thinking in K-12 education. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 906-912. https://doi.org/10.1145/3287324.3287431
Ehsan, H., Rehmat, A. P., & Cardella, M. E. (2021). Computational thinking embedded in engineering design: Capturing computational thinking of children in an informal engineering design activity. International Journal of Technology and Design Education, 31(3), 441-464.
Faber, H. H., Wierdsma, M. D. M., Doornbos, R. P., van der Ven, J. S., & de Vette, K. (2017). Teaching computational thinking to primary school students via unplugged programming lessons. Journal of the European Teacher Education Network, 12, 13-24.
Flannery, L. P., Silverman, B., Kazakoff, E. R., Bers, M. U., Bontá, P., & Resnick, M. (2013). Designing ScratchJr: Support for early childhood learning through computer programming. Proceedings of the 12th International Conference on Interaction Design and Children, 1-10. https://doi.org/10.1145/2485760.2485785
Gao, X., & Hew, K. F. (2022). Toward a 5E-based flipped classroom model for teaching computational thinking in elementary school: Effects on student computational thinking and problem-solving performance. Journal of Educational Computing Research, 60(2), 512-543.
Gerosa, A., Koleszar, V., Tejera, G., Gómez-Sena, L., & Carboni, A. (2021). Cognitive abilities and computational thinking at age 5: Evidence for associations to sequencing and symbolic number comparison. Computers and Education Open, 2, 1-9. https://doi.org/10.1016/j.caeo.2021.100043
Goldin, G. A. (2000). A scientific perspective on structured, task-based interviews in mathematics education research. In A. E. Kelly & R. A. Lesh (Eds.) Handbook of research design in mathematics and science education, (1st ed., pp. 517-545). Routledge.
ISTE & CSTA. (2011). Operational definition of computational thinking for K-12 education. https://cdn.iste.org/www-root/Computational_Thinking_Operational_Definition_ISTE.pdf
Jacob, S. R., & Warschauer, M. (2018). Computational Thinking and Literacy. Journal of Computer Science Integration, 1(1), 1-19. https://doi.org/10.26716/jcsi.2018.01.1.1
K-12 Computer Science Framework Steering Committee. (2016). K-12 computer science framework. ACM. https://k12cs.org/wp-content/uploads/2016/09/K%E2%80%9312-Computer-Science-Framework.pdf
Maher, C. A., & Sigley, R. (2020). Task-based interviews in mathematics education (S. Lerman, Ed.). In S. Lerman (Ed.), Encyclopedia of mathematics education (pp. 821-824). Springer. https://doi.org/10.1007/978-3-030-15789-0_147
Peppler, K. A., & Warschauer, M. (2011). Uncovering literacies, disrupting stereotypes: Examining the (dis)abilities of a child learning to computer program and read. International Journal of Learning and Media, 3(3), 15-41.
Relkin, E. (2018). Assessing young children's computational thinking abilities (Publication No. 10813994) [Master’s thesis, Tufts University]. ProQuest Dissertations Publishing.
Resnick, M. (2007). All I really need to know (about creative thinking) I learned (by studying how children learn) in kindergarten. Proceedings of the 6th ACM SIGCHI Conference on Creativity & Cognition, 1-6. https://doi.org/10.1145/1254960.1254961
Rodriguez, B., Kennicutt, S., Rader, C., & Camp, T. (2017). Assessing computational thinking in CS unplugged activities. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 501-506. https://dl.acm.org/doi/10.1145/3017680.3017779
Rompapas, D., Steven, Y., & Chan, J. (2021). A hybrid approach to teaching computational thinking at a K-1 and K-2 level. Proceedings of the 5th APSCE International Computational Thinking and STEM in Education Conference 2021, 26-31. https://cte-stem2021.nie.edu.sg/assets/docs/CTE-STEM_Compiled-Proceedings.pdf
Saldaña, J. (2015). The Coding Manual for Qualitative Researchers (3rd ed.). SAGE Publications.
Sullivan, A., & Bers, M. U. (2013). Gender differences in kindergarteners’ robotics and programming achievement. International Journal of Technology and Design Education, 23, 691-702. https://doi.org/10.1007/s10798-012-9210-z
Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252-275. https://doi.org/10.1016/j.compedu.2015.11.008
Author 2020.
Twigg, S., Blair, L., & Winter, E. (2019). Using children's literature to introduce computing principles and concepts in primary schools: Work in progress. Proceedings of the 14th Workshop in Primary and Secondary Computing Education, 1-4. https://doi.org/10.1145/3361721.3362116
Vahrenhold, J., Cutts, Q., & Falkner, K. (2019). Schools (K-12). In S. A. Fincher & A. V. Robins (Eds.), The cambridge handbook of computing education research (1st ed., pp. 547-584). Cambridge University Press.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: Pedagogical approaches to embedding 21st century problem solving in K-12 classrooms. TechTrends, 60, 565-568.
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
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Copyright (c) 2024 Kristina M. Tank, Anne Ottenbreit-Leftwich, Tamara J. Moore, Sohheon Yang, Zarina Wafula, Jiyoung Kim, Bárbara Fagundes, Lin Chu
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