Abstract
This paper proposes an approach which combines robotics and science education through the development of robotic models and inquiry into natural phenomena. The robotic models are constructed using the PicoCricket kit. The approach is implemented and evaluated in the framework of teacher training courses for Technion students given in connection with outreach courses for middle school and high school students. The educational study indicated that the proposed approach facilitated acquisition of both technology and science concepts and inspired analogical reasoning and crossdisciplinary connections between the two domains.
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References
Ropohl, G.: Knowledge Types in Technology. International Journal of Technology and Design Education 7, 65–72 (1997)
Cianchi, M.: Leonardo da Vinci’s Machines, pp. 45–61. Becocci, Florence (1988)
Miller, G.A.: The Cognitive Revolution: a Historical Perspective. Trendes in Cognitive Sciences 7(3), 1411–1444 (2003)
Hestenes, D.: Notes for a Modeling Theory of Science, Cognition and Instruction. In: Proceedings of the 2006 GIREP conference: Modelling in Physics and Physics Education (2006), http://modeling.asu.edu/R&E/Notes_on_Modeling_Theory.pdf
Gentner, D., Colhoun, J.: Analogical processes in human thinking and learning. In: Von Müller, A., Pöppel, E. (series eds.) Glatzeder, B., Goel, V., Von Müller, A. (vol. eds.) On Thinking: Towards a Theory of Thinking, vol. 2, Springer, Heidelberg, http://www.psych.northwestern.edu/psych/people/faculty/gentner/papers/Gentner-Colhoun_in_press.pdf
Gilbert, J.K.: Visualization: A metacognitive skill in science and science education. In: Gilbert, J.K. (ed.) Visualization in science education, pp. 9–27. Springer, Dordrecht (2005)
Halloun, I.A.: Modeling theory in science education. In: Science & Technology Education Library, p. 186. Kluwer Academic Publishers, London (2004)
Erlhagen, W., Mukovskiy, A., Bicho, E., et al.: Goal-directed imitation for robots: A bio-inspired approach to action understanding and skill learning. Robotics and Automation Systems 54, 353–360 (2006)
Rusk, N., Resnick, M., Berg, R., Pezalla-Granlund, M.: New pathways into robotics: Strategies for broadening participation. Journal of Science Education and Technology, 59–69 (2008)
Sherry, R.A., Galen, C.: The mechanism of floral heliotropism in the snow buttercup, Ranunculus adoneus. Plant Cell and Environment 21, 983–993 (1998)
Zeron, E.S.: Positive and Negative Feedback in Engineering. Mathematical Modeling of Natural Phenomena 3(2), 67–84 (2008)
Lesh, R., Kelly, A.: Multitiered Teaching Experiments. In: Kelly, A., Lesh, R. (eds.) Handbook of Research Design in Mathematics and Science Education, pp. 197–230. Lawrence Erlbaum, Mahwah (2000)
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Verner, I.M., Cuperman, D. (2009). Learning from Analogies between Robotic World and Natural Phenomena. In: Kim, JH., et al. Progress in Robotics. FIRA 2009. Communications in Computer and Information Science, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03986-7_31
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DOI: https://doi.org/10.1007/978-3-642-03986-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03985-0
Online ISBN: 978-3-642-03986-7
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