Kindergarten Children’s Learning of Computational Thinking With the “Sorting Like a Computer” Learning Unit

References

• Bell, T., Alexander, J., Freeman, I., & Grimley, M. (2009). Computer science unplugged: School students doing real computing without computers. The New Zealand Journal of Applied Computing and Information Technology, 13(1), 20–29.
   Google Scholar
• Bell, T. C., Witten, I. H., & Fellows, M. (1998). Computer Science Unplugged: Off-line activities and games for all ages. Self-published.
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Bers, M. U., Govind, M., & Relkin, E. (2022, January). Coding as another language: Computational thinking, robotics and literacy in first and second grade. In Computational thinking in PreK-5: Empirical evidence for integration and future directions, (pp. 30–38). https://doi.org/10.1145/3507951.3519285
   Google Scholar
• Blackwell, C. K., Lauricella, A. R., & Wartella, E. (2014). Factors influencing digital technology use in early childhood education. Computers & Education, 77, 82–90. https://doi.org/10.1016/j.compedu.2014.04.013
   Web of Science ®Google Scholar
• Blaye, A., & Jacques, S. (2009). Categorical flexibility in preschoolers: Contributions of conceptual knowledge and executive control. Developmental Science, 12(6), 863–873. https://doi.org/10.1111/j.1467-7687.2009.00832.x
   PubMed Web of Science ®Google Scholar
• Brennan, K., & Resnick, M. (2012, April). New frameworks for studying and assessing the development of computational thinking [Paper presentation]. Annual American Educational Research Association meeting, Vancouver, BC, Canada.
   Google Scholar
• Clements, D. H., & Gullo, D. F. (1984). Effects of computer programming on young children’s cognition. Journal of Educational Psychology, 76(6), 1051–1058. https://doi.org/10.1037/0022-0663.76.6.1051
   Web of Science ®Google Scholar
• Cohen, L. B., & Cashon, K. H. (2006). Infant cognition. In W. Damon, R. Lerner, D. Kuhn, & R. Siegler (Eds.), Handbook of child psychology: Vol. 2. Cognition, perception, and language (6th ed., pp. 214–251). Wiley.
   Google Scholar
• Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Pearson.
   Google Scholar
• Flannery, L. P., Kazakoff, E. R., Bontá, P., Silverman, B., Bers, M. U., & Resnick, M. (2013). Designing ScratchJr: Support for early childhood learning through computer programming. ACM International Conference Proceeding Series (pp. 1–10). ACM.
   Google Scholar
• Gelman, S. A., & Meyer, M. (2011). Child categorization. Wiley Interdisciplinary Reviews: Cognitive Science, 2(1), 95–105. https://doi.org/10.1002/wcs.96
   PubMed Web of Science ®Google Scholar
• Grant, D. A., & Berg, E. A. (1948). A behavioral analysis of degree of reinforcement and ease of shifting to new responses in a Weigl-type card-sorting problem. Journal of Experimental Psychology, 38(4), 404–411. https://doi.org/10.1037/h0059831
   PubMedGoogle Scholar
• Horn, M. S., Weintrop, D., Beheshti, E., & Olson, I. D. (2012, April). Spinners, dice, and pawns: Using board games to prepare for agent-based modeling activities [Paper presentation]. Annual American Educational Research Association meeting, Vancouver, Canada.
   Google Scholar
• Keil, F. C. (1979). Semantic and conceptual development: An ontological perspective. Harvard University Press.
   Google Scholar
• Knuth, D. (1998). The art of computer programming: Sorting and searching (Vol. 3, 2nd ed.). Addison-Wesley.
   Google Scholar
• Kuhn, D. (2000). Metacognitive development. Current Directions in Psychological Science, 9(5), 178–181. https://doi.org/10.1111/1467-8721.00088
   Web of Science ®Google Scholar
• Levy, S. T. (2012). Young children's learning of water physics by constructing working systems. International Journal of Design and Technology Education, 25, 537–566.
   Google Scholar
• Love, T. S., Bartholomew, S. R., & Yauney, J. (2022). Examining changes in teachers’ beliefs toward integrating computational thinking to teach literacy and math concepts in grades K-2. Journal for STEM Education Research, 5(3), 380–401. https://doi.org/10.1007/s41979-022-00077-3
   Google Scholar
• Maloney, J., Resnick, M., Rusk, N., Silverman, B., & Eastmond, E. (2010). The scratch programming language and environment. ACM Transactions on Computing Education (TOCE), 10(4), 1–15. https://doi.org/10.1145/1868358.1868363
   Google Scholar
• 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(1), 1–36. https://doi.org/10.1007/s10639-021-10765-z
   PubMedGoogle Scholar
• Mioduser, D., & Levy, S. T. (2010). Making sense by building sense: Kindergarten children’s construction and understanding of adaptive robot behaviors. International Journal of Computers for Mathematical Learning, 15, 99–127.
   Google Scholar
• Nikolopoulou, K., & Gialamas, V. (2015). Barriers to the integration of computers in early childhood settings: Teachers’ perceptions. Education and Information Technologies, 20(2), 285–301. https://doi.org/10.1007/s10639-013-9281-9
   Web of Science ®Google Scholar
• Parette, H. P., Quesenberry, A. C., & Blum, C. (2010). Missing the boat with technology usage in early childhood settings: A 21st century view of developmentally appropriate practice. Early Childhood Education Journal, 37(5), 335–343. https://doi.org/10.1007/s10643-009-0352-x
   Google Scholar
• Peel, A., Sadler, T. D., & Friedrichsen, P. (2022). Algorithmic explanations: An unplugged instructional approach to integrate science and computational thinking. Journal of Science Education and Technology, 31(4), 428–441.
   PubMed Web of Science ®Google Scholar
• Poole, F. J., Clarke-Midura, J., Rasmussen, M., Shehzad, U., & Lee, V. R. (2021). Tabletop games designed to promote computational thinking. Computer Science Education, 32(1), 1–28. https://doi.org/10.1080/08993408.2021.1947642
   Google Scholar
• Quinn, P. C., Schyns, P. G., & Goldstone, R. L. (2006). The interplay between perceptual organization and categorization in the representation of complex visual patterns by young infants. Journal of Experimental Child Psychology, 95(2), 117–127.
   PubMed Web of Science ®Google Scholar
• Reitan, R. M., & Wolfson, D. (1993). The Halstead–Reitan neuropsychological test battery: Theory and clinical interpretation. Neuropsychology Press.
   Google Scholar
• Rich, P. J., Larsen, R. A., & Mason, S. L. (2021). Measuring teacher beliefs about coding and computational thinking. Journal of Research on Technology in Education, 53(3), 296–316. https://doi.org/10.1080/15391523.2020.1771232
   Web of Science ®Google Scholar
• Sarama, J., & Clements, D. H. (2009). Early childhood mathematics education research: Learning trajectories for young children. Routledge.
   Google Scholar
• Siegler, R. S. (1991). Children’s thinking. Prentice-Hall.
   Google Scholar
• Strawhacker, A., Relkin, E., & Bers, M. U. (2022). Designing an adaptive assessment for preschool children’s robotics knowledge. Educational Designer, 4(15), 1759–1325.
   Google Scholar
• 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
   Google Scholar
• Talis, V., Levy, S. T., & Mioduser, D. (1998). RoboGAN: Interface for programming a robot with rules for young children. Tel-Aviv University.
   Google Scholar
• Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127–147. https://doi.org/10.1007/s10956-015-9581-5
   Web of Science ®Google Scholar
• Wellman, H. M., & Gelman, S. A. (1998). Knowledge acquisition in foundational domains. In W. Damon (Ed.), Handbook of child psychology: Vol. 2. Cognition, perception, and language (pp. 523–573). John Wiley & Sons, Inc.
   Google Scholar
• Wing, J. M. (2006). Computational thinking. Communications of the ACM, 24(3), 33–35. https://doi.org/10.1145/1118178.1118215
   Google Scholar
• Wisconsin Card Sorting Test Grant, D. A., & Berg, E. A. (1993). Wisconsin card sorting test [Database record]. APA PsycTests. https://doi.org/10.1037/t31298-000
   Google Scholar
• Zelazo, P. D. (2006). The Dimensional Change Card Sort (DCCS): A method of assessing executive function in children. Nature Protocols, 1(1), 297–301. https://doi.org/10.1038/nprot.2006.46
   PubMed Web of Science ®Google Scholar
• Zelazo, P. D., Frye, D., & Rapus, T. (1996). An age-related dissociation between knowing rules and using them. Cognitive Development, 11(1), 37–63. https://doi.org/10.1016/S0885-20149690027-1
   Web of Science ®Google Scholar
• 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(3), 100520. https://doi.org/10.1016/j.edurev.2023.100520
   Google Scholar