Abstract
This paper presents how a model-based inquiry approach can support the development of students’ conceptual understanding about prey–predator systems as well as their cognitive skills. To do so, we developed a sequence of activities which involved three cycles of scientific inquiry. The first cycle revolved around the playing of a role-playing game about a prey–predator system, while the second cycle involved the development and running of a model (i.e., a simulation) of the prey–predator system on a computer. The third cycle followed the enactment of the first two cycles and entailed comparing the role-playing game to the computer simulation, to identify differences in the modelling process and system dynamics applied in each of the first two cycles and to identify and discuss nature-of-science related issues within the context of the prey–predator system. The complete approach was designed for upper secondary students, but with some adaptations it can also be used for lower secondary education or even at the two last grades of primary school.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bamberger, Y. M., & Davis, E. A. (2013). Middle-school science students’ scientific modeling performances across content areas and within a learning progression. International Journal of Science Education, 35, 213–238. https://doi.org/10.1080/09500693.2011.624133.
Beals, K., Willard, C. (2001). Environmental detectives. University of California, Berkeley: Lawrence hall of science.
Fortus, D., Shwartz, Y., & Rosenfeld, S. (2015). High school students’ meta-modeling knowledge. Research in Science Education, 46, 787–810. https://doi.org/10.1007/s11165-015-9480-z.
Georghiades, P. (2000). Beyond conceptual change learning in science education: Focusing on transfer, durability and metacognition. Educational Research, 42, 119–139. https://doi.org/10.1080/001318800363773.
Hokayem, A., Ma, J., & Jim, H. (2015). A learning progression for feedback loop reasoning at lower elementary level. Journal of Biological Education, 49, 246–260. https://doi.org/10.1080/00219266.2014.943789.
Hovardas, T. (2016). A learning progression should address regression: Insights from developing non-linear reasoning in ecology. Journal of Research in Science Teaching, 53, 1447–1470. https://doi.org/10.1002/tea.21330.
Kuhn, D., & Dean, D. (2004). A bridge between cognitive psychology and educational practice. Theory into Practice, 43, 268–273. https://doi.org/10.1207/s15430421tip4304_4.
Lefkaditou, A., Korfiatis, K., & Hovardas, T. (2014). Contextualizing the teaching and learning of ecology: Historical and philosophical considerations. In M. Matthews (Ed.), International handbook of research in history, philosophy and science teaching (pp. 523–550). Dordrecht: Springer.
Lotka, A. J. (1925). Elements of physical biology. Baltimore, USA: Williams and Wilkins.
Psycharis, S., Botsari, E., Mantas, P., & Loukeris, D. (2014). The impact of the computational inquiry based experiment on metacognitive experiences, modelling indicators and learning performance. Computers & Education, 72, 90–99. https://doi.org/10.1016/j.compedu.2013.10.001.
Volterra, V. (1926). Fluctuations in the abundance of a species considered mathematically. Nature, 118, 558–560. https://doi.org/10.1038/118558a0.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Hovardas, T., Zacharia, Z. (2019). An Inquiry Based Approach to Explore System Dynamics and Modeling Aspects of the Prey–Predator System. In: Cai, Y., van Joolingen, W., Walker, Z. (eds) VR, Simulations and Serious Games for Education. Gaming Media and Social Effects. Springer, Singapore. https://doi.org/10.1007/978-981-13-2844-2_9
Download citation
DOI: https://doi.org/10.1007/978-981-13-2844-2_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2843-5
Online ISBN: 978-981-13-2844-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)