Abstract
The present study explored young 5–6-year old children’s design-based learning of science through building working physical systems and examined their evolving conceptions of water flow. Fifteen children in an experimental group individually built water-pipe systems during four sessions that included end-of-session interviews. In addition, they were interviewed with a pretest and posttest. The interviews consisted of near and far transfer tasks testing for the children’s understanding of three physical rules of water flow and their combined application. To control for testing, maturation and familiarity with the interviewer, a control group was interviewed as well. It was found that through building, the experimental group children’s understanding of the related physical rules grew substantially, showing a strong effect size. Moreover, the builders demonstrated budding abilities in coordinating two physical rules. Three distinct conceptual models regarding water flow were found: water can flow along a path disregarding height considerations; water can only flow downwards; and a coordinated view combining gravitational considerations and equilibration within connected vessels. The children’s new understandings were found to be local, fragile and bound by developmental constraints. The control group but not the experimental group learned one of the physical rules in the far transfer tasks. The merits and limits of learning science through designing and constructing working physical devices are discussed.
Similar content being viewed by others
References
Ackerman, E. (1991). From decontextualized knowledge to situated knowledge: Revisiting Piaget’s water-level experiment. In I. Harel & S. Papert (Eds.), Constructionism (pp. 269–294). Norwood, NJ: Ablex Publishing.
Alibali, M. W., & Goldin-Meadow, S. (1993). Gesture-speech mismatch and mechanisms of learning: What the hands reveal about a child’s state of mind. Cognitive Psychology, 25, 468–523.
American Association for the Advancement of Science (AAAS). (1993). Benchmarks for science literacy. Project 2061: Science for all Americans. Washington, DC: Author.
Apedoe, X. S., Reynolds, B., Ellefson, M. R., & Schunn, C. D. (2008). Bridging engineering design into high school science classrooms: The heating/cooling unit. Journal of Science Education and Technology, 17, 454–465.
Ausubel, D. P. (1968). Educational psychology: A cognitive view. New York: Holt, Rinehart, & Winston.
Bamberger, J. (1991). The laboratory for making things: Developing multiple representations of knowledge. In D. Schon (Ed.), The reflective turn (pp. 37–62). New York: Teacher’s College Press.
Barnett, S. M., & Ceci, S. J. (2002). When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin, 128(4), 612–637.
Barsalou, L. W. (2010). Grounded cognition: Past, present and future. Topics in Cognitive Science, 2(4), 716–724.
Benenson, G. (2001). The unrealized potential of everyday technology as a context for learning. Journal of Research in Science Teaching, 38(7), 730–745.
Besson, U. (2004). Students’ conceptions of fluids. International Journal of Science Education, 26(14), 1683–1714.
Bransford, J. D., Brown, A. L., & Cocking, R. R. (1999). How people learn: Brain, mind, experience and school. Commission on Behavioral and Social Science and Education, National Research Council. Washington, DC: National Academy Press.
Brophy, J., & Alleman, J. (2003). Primary-grade students’ knowledge and thinking about the supply of utilities (water, heat and light) to modern homes. Cognition and Instruction, 21(1), 79–112.
Brosterman, N. (1997). Inventing kindergarten. New York: Harry N. Adams Inc.
Brown, A. L. (1989). Analogical learning and transfer: What develops? In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 369–412). New York: Cambridge University Press.
Brown, A. L., & Kane, M. J. (1988). Preschool children can learn to transfer: Learning to learn and learning from examples. Cognitive Psychology, 20, 493–523.
Campione, J. C., Shapiro, A. M., & Brown, A. L. (1995). Forms of transfer in a community of learners: Flexible learning and understanding. In A. McKeough, J. Lupart, & A. Marini (Eds.), Teaching for transfer: Fostering generalization in learning (pp. 35–68). Mahwah, NJ: Lawrence Erlbaum.
Case, R. (1987). The structure and process of intellectual development. International Journal of Psychology, 22, 571–607.
Chen, Z., & Siegler, R. S. (2000). Across the great divide: bridging the gap between understanding of toddlers and older children’s thinking. Monographs of the Society for Research in Child Development, 65(2) (Whole Number 261).
Cheng, P. W. (1997). From covariation to causation: A causal power theory. Psychological Review, 104, 367–405.
Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145–182.
Chi, M. T. H., de Leeuw, N., Chiu, M.-H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18, 439–477.
Department for Education and Employment—Qualifications and Curriculum Authority. (2000). The national curriculum handbook for primary teachers in England—key Stages 1 and 2. Stationery Office.
Diesendruck, G., Hammer, R., & Catz, O. (2003). Mapping the similarity space of children’s and adults’ artifact categories. Cognitive Development, 18, 217–231.
Dove, J. E., Everett, L. A., & Preece, P. F. W. (1999). Exploring a hydrological concept through children’s drawings. International Journal of Science Education, 21(5), 485–497.
Druyan, S. (1997). Effect of the kinesthetic conflict on promoting scientific reasoning. Journal of Research in Science Teaching, 34(10), 1083–1099.
Druyan, S. (2001). A comparison of four types of cognitive conflict and their effect on cognitive development. International Journal of Behavioral Development, 25(3), 226–236.
Duit, R., & von Rhöneck, C. (1997). Learning and understanding key concepts of electricity. In A. Tiberghien, E. Jossem, & J. Barojas (Eds.), Connecting research in physics education with teacher education. Resource document. International Commission on Physics Education 1997, 1998. http://www.physics.ohio-state.edu/~jossem/ICPE/C2.html. Accessed September 1, 2011.
Engel Clough, E., & Driver, R. (1985). What do children understand about pressure in fluids. Research in Science & Technological Education, 3(2), 133–144.
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406.
Eylon, B., & Reif, F. (1984). Effects of knowledge organization on task performance. Cognition and Instruction, 1(1), 5–44.
Fischer, K. W. (1980). A theory of cognitive development: The control and construction of hierarchies of skills. Psychological Review, 87(6), 477–531.
Fortus, D., Krajcik, J., Dershimer, R. C., Marx, R. W., & Mamlok-Naaman, R. (2005). Design-based science and real-world problem-solving. International Journal of Science Education, 27(7), 855–879.
Froebel, F. (1897). Pedagogics of the kindergarten (J. Jarvis, Trans.). London: Appleton Press.
Gentner, D. (1978). A study of early word meaning using artificial objects: What looks like a jiggy but acts like a zimbo? Papers and Reports on Child Language Development, 15, 1–6.
Gentner, D. (2005). The development of relational category knowledge. In L. Gershkoff-Stowe & D. H. Rakison (Eds.), Building object categories in developmental time (pp. 245–275). Hillsdale, NJ: Lawrence Erlbaum.
Gentner, D., & Medina, J. (1998). Similarity and the development of rules. Cognition, 65, 263–297.
Gibson, E. J. (1991). An odyssey in learning and perception. Cambridge, MA: The MIT Press.
Gick, M., & Holyoak, K. (1983). Schema induction and analogical transfer. Cognitive Psychology, 15, 1–38.
Granott, N. (1991). Puzzled minds and weird creatures: Phases in the spontaneous process of knowledge construction. In I. Harel & S. Papert (Eds.), Constructionism (pp. 295–310). Norwood, NJ: Ablex Publishing.
Greeno, J. G. (2006). Learning as activity. In R. Keith Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 79–86). New York: The Cambridge University Press.
Halford, G. S. (1993). Children’s understanding: The development of mental models. Hillsdale, NJ: Lawrence Erlbaum.
Hatano, G., & Greeno, J. G. (1999). Commentary: Alternative perspectives on transfer and transfer studies. International Journal of Educational Research, 31(7), 645–654.
Hayes, J. R. (1989). The complete problem solver (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
Hegarty, M. (1991). Knowledge and processes in mechanical problem solving. In R. J. Sternberg (Ed.), Complex problem solving (pp. 253–285). Hillsdale, NJ: Lawrence Erlbaum.
Helstrup, T., & Anderson, R. E. (1991). Imagery in mental construction and decomposition tasks. In R. H. & M. Denis (Eds.), Mental images in human cognition (R. H. & M. Denis (Chapter 16). Advances in Psychology 80, North-Holland: Logies.
Hughes, F. P. (1999). Children, play, and development. Boston, MA: Allyn and Bacon.
Ibanez, M., & Ramos, M. C. (2004). Physics textbooks presentation of the energy-conservation principle in hydrodynamics. Journal of Science Education and Technology, 13(2), 267–276.
Israel Ministry of Education, Culture and Sport, Pedagogical Administration. (1995). A comprehensive framework for curricula in Israeli preschools. Curriculum Division, Preschool Education Division.
Kamii, C., & Devries, R. (1993). Physical knowledge in preschool education: Implications of Piaget’s theory. New-York and London: Teachers College Press.
Kanter, D. E. (2009). Doing the project and learning the content: Designing project-based science curricula for meaningful understanding. Science Education, 94(3), 525–551.
Kemler Nelson, D. G., & 11 Swarthmore College Students. (1995). Principle-based inferences in young children’s categorization: Revisiting the impact of function on the naming of artifacts. Cognitive Development, 10, 347–380.
Klahr, D., & Dunbar, K. (1988). Dual search space during scientific reasoning. Cognitive Science, 12(1), 1–48.
Klahr, D., Fay, A. L., & Dunbar, K. (1993). Heuristics for scientific experimentation: A developmental study. Cognitive Psychology, 25, 111–146.
Kolodner, J. L., Camp, P. J., Crismond, D., Fasse, B., Gray, J., Holbrook, J., et al. (2003). Problem-based learning meets case-based reasoning in the middle-school science classroom: Putting learning by design(tm) into practice. Journal of the Learning Sciences, 12(4), 495–547.
Kuhn, D. (1989). Children and adults as intuitive scientists. Psychological Review, 96, 674–689.
Kuhn, D., & Dean, D., Jr. (2004). Connecting scientific reasoning and causal inference. Journal of Cognition and Development, 5(2), 261–288.
Kuhn, D., Garcia-Mila, M., Zohar, A., & Andersen, C. (1995). Strategies of knowledge acquisition. Monographs of the Society for Research in Child Development, 60(4), Serial No. 245.
Kuhn, D., Schauble, L., & Garcia-Mila, M. (1992). Cross-domain development of scientific reasoning. Cognition and Instruction, 9, 285–327.
Lave, J. (1988). Cognition in practice: Mind, mathematics and culture in everyday life. New York: Cambridge University Press.
Levi-Strauss, C. (1966). The savage mind. London, UK: Weidenfeld and Nicolson.
Liu, X. (2000). Elementary school students’ logical reasoning on rolling. International Journal of Technology and Design Education, 10, 3–20.
Lobato, J. (2003). How design experiments can inform a rethinking of transfer and vice versa. Educational Researcher, 32(1), 17–20.
Lou, S.-J., Shih, R.-C., Diez, C. R., & Tseng, K.-H. (2010). The impact of problem-based learning strategies on STEM knowledge integration and attitudes: An exploratory study among female Taiwanese senior high school students. International Journal of Technology and Design Education. doi:10.1007/s10798-010-9114-8.
Metz, K. E. (1993). Preschoolers’ developing knowledge of the pan balance: From new representation to transformed problem solving. Cognition and Instruction, 11(1), 31–93.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. The Psychological Review, 63, 81–97.
Miller, C. M. (1995). So can you build one? Learning through designing—connecting theory with hardware in engineering education. Doctoral dissertation, Massachusetts Institute of Technology, Cambridge, MA.
Mitcham, C. (1994). Thinking through Technology: The Path between Engineering and Philosophy. Chicago, IL: The University of Chicago Press.
Montessori, M. (1964). The Montessori method. New York, NY: Schocken Books.
National Research Council. (1996). National science education standards. Washington, DC: National Academy Press.
Nelson, K. (1973). Some evidence for the cognitive primacy of categorization and its functional basis. Merrill-Palmer Quarterly, 19, 21–39.
Njoo, M., & de Jong, T. (1993). Exploratory learning with a computer simulation for control theory: Learning processes and instructional support. Journal of Research in Science Teaching, 30, 821–844.
Norton, S. J. (2007). The use of design practice to teach mathematics and science. International Journal of Technology and Design Education, 18, 19–44.
Paas, F., van Gog, T., & Sweller, J. (2010). Cognitive load theory: New conceptualizations, specifications, and integrated research perspectives. Educational Psychology Review, 22, 115–121.
Papert, S. (1980/1993). Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.
Parziale, J. (2002). Observing the dynamics of construction: Children building bridges and new ideas. In N. Grannott & J. Parziale (Eds.), Microdevelopment: Transition processes in development and learning (pp. 157–182). Massachusetts: Cambridge University Press.
Petrosino, A. J. (1998). The use of reflection and revision in hands-on experimental activities by at-risk children. Unpublished doctoral dissertation, Vanderbilt University, Nashville, TN.
Piaget, J. (1952). The child’s concept of number. New York: W.W. Norton.
Piaget, J. (1956). The child’s conception of physical causality. Totowa, NJ: Littlefield, Adams and Co.
Piaget, J. (1970). Genetic epistemology. New York: Columbia University Press.
Piaget, J., & Inhelder, B. (1948/1956). The child’s conception of space. New York: Norton.
Polyani, M. (1966). The tacit dimension. New York: Anchor Books, Doubleday & Co.
Reiner, M. (1999). Conceptual construction of fields through tactile interface. Interactive Learning Environments, 7(1), 31–55.
Rittle-Johnson, B. (2006). Promoting transfer: Effects of self-explanation and direct instruction. Child Development, 77(1), 1–15.
Rowell, P. M., Gustafson, B. J., & Guilbert, S. M. (1999). Characterization of technology within an elementary science program. International Journal of Technology and Design Education, 9, 37–55.
Rubin, K. H., Watson, K. S., & Jambor, T. W. (1978). Free-play behaviors in preschool and kindergarten children. Child Development, 49, 534–536.
Sadler, P. M., Coyle, H. P., & Schwartz, M. (2000). Engineering competitions in the middle school classroom: Key elements in developing effective design challenges. Journal of the Learning Sciences, 9(3), 299–327.
Salomon, G. (1993). On the nature of pedagogic computer tools: The case of the writing partner. In S. P. Lajoie & S. J. Derry (Eds.), Computers as cognitive tools. Hillsdale, NJ: Lawrence Erlbaum.
Salomon, G., & Perkins, D. N. (1989). Rocky roads to transfer: rethinking mechanisms of a neglected phenomenon. Educational Psychologist, 24(2), 113–142.
Schauble, L. (1990). Belief revision in children: The role of prior knowledge and strategies for generating evidence. Journal of Experimental Child Psychology, 49, 31–57.
Schauble, L., Klopfer, L. E., & Raghavan, K. (1991). Students’ transition from an engineering model to a science model of experimentation. Journal of Research in Science Teaching, 28(9), 859–882.
Schön, D. (1983). The reflective practitioner: How professionals think in action. New York: Basic Books.
Shanks, D. R. (1995). Is human learning rational? The Quarterly Journal of Experimental Psychology, 48A(2), 257–279.
Sherin, B., Brown, M., & Edelson, D. C. (2005). On the content of task-structured science curricula. In L. B. Flick & N. Lederman (Eds.), Scientific inquiry and nature of science: Implications teaching, learning, and teacher education. Dordrecht, The Netherlands: Kluwer.
Shipstone, D. (1985). Electricity in simple circuits. In R. Driver, E. Guesne, & A. Tiberghien (Eds.), Children’s ideas in science, Chapter 3 (pp. 33–51). Milton Keynes, Philadelphia, PA: Open University Press.
Sidawi, M. M. (2009). Teaching science through designing technology. International Journal of Technology and Design Education, 19, 269–287.
Siegler, R. S. (1976). Three aspects of cognitive development. Cognitive Psychology, 8, 481–520.
Siegler, R. S. (1978). The origins of scientific reasoning. In R. S. Siegler, & R. S. (Eds.), Children’s thinking: What develops? (Chapter 5). Hillsdale, NJ: Lawrence Erlbaum.
Siegler, R. S. (1983). Five generalizations about cognitive development. American Psychologist, 38(3), 263–277.
Siegler, R. S. (1996). Emerging minds: The process of change in children’s thinking. New York: Oxford University Press.
Siegler, R. S. (2002). Microgenetic studies of self-explanation. In N. Garnott & J. Parziale (Eds.), Microdevelopment: A process-oriented perspective for studying development and learning (pp. 31–58). Cambridge, MA: Cambridge University Press.
Siegler, R. S., & Chen, Z. (1998). Developmental differences in rule learning: A microgenetic analysis. Cognitive Psychology, 36(3), 273–310.
Silk, E. M., Schunn, C. D., & Cary, M. S. (2009). The impact of an engineering design curriculum on science reasoning in an urban setting. Journal of Science Education and Technology, 18(3), 209–223.
Sobel, D. M., Tenenbaum, J. B., & Gopnik, A. (2004). Children’s causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers. Cognitive Science, 28, 303–333.
Stachel, D., & Stavy, E. (1985). Children’s ideas about solid and liquid. European Journal of Science Education, 4, 407–421.
Steiner, G. (2000). Transfer of learning. In N. J. Smerlser & P. B. Baltes (Eds.), International encyclopedia of social and behavioral science. Oxford, UK: Pergamon Press.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.
Sweller, J. (2003). Evolution of human cognitive architecture. In B. H. Ross (Ed.), The psychology of learning and motivation (Vol. 43, pp. 215–266). San Diego, CA: Academic Press.
Thelen, E., & Smith, L. B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, MA: MIT Press.
Tschirgi, J. E. (1980). Sensible reasoning: A hypothesis about hypotheses. Child Development, 51, 1–10.
Venville, G., Rennie, L., & Wallace, J. (2003). Student understanding and application of science concepts in the context of an integrated curriculum setting. International Journal of Science and Mathematics Education, 1, 449–475.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA & London, England: Harvard University Press.
White, B. Y. (1993). ThinkerTools: Causal models, conceptual change, and science education. Cognition and Instruction, 10, 1–100.
Zimmerman, C. (2000). The development of scientific reasoning skills. Developmental Review, 20, 99–149.
Zimmerman, C. (2007). The development of scientific thinking skills in elementary and middle school. Developmental Review, 27, 172–223.
Zimmerman, C., & Glaser, R. (2001). Testing positive versus negative claims: A preliminary investigation of the role of cover story in the assessment of experimental design skills (Tech. Rep. No. 554). Los Angeles, CA: UCLA National Center for Research on Evaluation, Standards, and Student Testing (CRESST).
Acknowledgments
The author gratefully thanks David Chen from Tel-Aviv University who mentored this research, the children who participated in this work and the school that hosted the study.
Author information
Authors and Affiliations
Corresponding author
Appendix: Example questions from pretest and posttest
Appendix: Example questions from pretest and posttest
The following table demonstrates some of the systems used in the pretest and posttest items. The full protocol is described in the “Methods” section.
Rights and permissions
About this article
Cite this article
Levy, S.T. Young children’s learning of water physics by constructing working systems. Int J Technol Des Educ 23, 537–566 (2013). https://doi.org/10.1007/s10798-012-9202-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10798-012-9202-z