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Cited by 18Science Education and PedagogyPhilosophy of Biology and Scientific ExplanationEvolution and Science Education

The DOI matches its Crossref record.

Multiple Representations in Modeling Strategies for the Development of Systems Thinking in Biology Education

Verhoeff, Roald Pieter, Boersma, Kerst Th, Waarlo, Arend Jan·2013·Models and Modeling in Science Education
DOI 10.1007/978-94-007-4192-8_18
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Research works printed but not linked: 21

  1. Abell, S. K., & Roth, M. (1995). Reflections on a fifth-grade life science lesson: Making sense of children’s understanding of scientific models. International Journal of Science Education, 17, 59–74. · DOI
  2. Alberghina, L. (2007). Systems biology: Definitions and perspectives. In R. van Driel (Ed.), Systems biology; A grand challenge for Europe (pp. 8–9). Strasbourg, France: European Science Foundation.
  3. Boersma, K. T., & Waarlo, A. J. (2009). On the theoretical input and output of ‘design research’ in biology education. In M. Hamann, A. J. Waarlo, & K. T. Boersma (Eds.), The nature of research in biological education: Old and new perspectives on theoretical and methodological issues (pp. 463–479). Utrecht, The Netherlands: CD-Bèta Press.
  4. Boersma, K., Waarlo, A. J., & Klaassen, K. (2010, July). The feasibility of systems thinking in biology education. Paper presented at the 8th ERIDOB conference, Braga.
  5. Bulte, A. M. W., Westbroek, H. B., De Jong, O., & Pilot, A. (2006). A research approach to designing chemistry education using authentic practices as contexts. International Journal of Science Education, 28(9), 1063–1086. · DOI
  6. Clement, J. (2000). Model based learning as a key research area for science education. International Journal of Science Education, 22(9), 1041–1053. · DOI
  7. Coll, R. K., & Taylor, I. (2005). The role of models and analogies in science education. International Journal of Science Education, 27, 183–198. · DOI
  8. Gilbert, J. (1993). Models and modeling in science education. Hatfield, UK: Association of Science Education.
  9. Gilbert, J., & Boulter, C. (Eds.). (2000). Developing models in science education. Dordrecht, The Netherlands: Kluwer.
  10. Gilbert, J. K., Boulter, C., & Rutherford, M. (1998). Models in explanations, part 1: horses for courses? International Journal of Science Education, 22(9), 891–894.
  11. Gilbert, J. K., & Treagust, D. (2009). Towards a coherent model for macro, submicro and symbolic representations in chemical education. In J. K. Gilbert & D. Treagust (Eds.), Multiple representations in chemical education (pp. 333–350). Dordrecht, The Netherlands: Springer. · DOI
  12. Gravemeijer, K. P. E. (1999). How emergent models may foster the constitution of formal mathematics. Mathematical Thinking and Learning, 1(2), 155–177. · DOI
  13. Harrison, A. G., & Treagust, D. F. (2000). A typology of school science models. International Journal of Science Education, 22, 1011–1026. · DOI
  14. Knippels, M. C. P. J. (2002). Coping with the abstract and complex nature of genetics in biology education. Utrecht, The Netherlands: CD-Bèta Press.
  15. Likens, G. E. (1985). An ecosystem approach to aquatic ecology: Mirror lake and its environment. New York: Springer. · DOI
  16. Moore A. (2007). New biology for new curricula. Observations from the 6th international workshop on science education 17–19 May 2007. Heidelberg, Germany: European Molecular Biology Organization.
  17. Verhoeff, R. P. (2003). Towards systems thinking in cell biology education. Utrecht, The Netherlands: CD-Bèta Press.
  18. Verhoeff, R., Waarlo, A. J., & Boersma, K. T. (2008). Systems modelling and the development of coherent cell biological knowledge. International Journal of Science Education, 30(4), 543–568. · DOI · Paper page
  19. von Bertalanffy, L. (1950). The theory of open systems in physics and biology. Science, 3, 23–29. · DOI · Paper page
  20. Westra, R. H. V. (2008). Learning and teaching ecosystem behaviour in secondary education. Utrecht, The Netherlands: FIsme Press.
  21. Westra, R. H. V., Boersma, K. T., Savelsbergh, E. R., & Waarlo, A. J. (2008). Towards understanding ecosystem behaviour through systems thinking and modeling. In M. Hamann, M. Reiss, C. Boulter, & S. D. Tunnicliffe (Eds.), Biology in context: Learning and teaching for the twenty-first century (pp. 205–216). London: Institute of Education, University of London.

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Metadata

Authors
Verhoeff, R. P., Boersma, K. T., & Waarlo, A. J.
Affiliations
  • Radboud University Nijmegen (NL)
  • Utrecht University (NL)
Corresponding author
Verhoeff, Roald Pieter
ORCID
Verhoeff, Roald Pieter
Venue
Models and Modeling in Science Education
Publisher
Springer Netherlands
Published
2012-12-21
Pages
331-348
ISSN
  • 1871-2983 (ISSN-L)
  • 2213-2260
DOI
10.1007/978-94-007-4192-8_18
OpenAlex
W1555778400
Cited by
18
References
0
Citations by year
2024: 5 · 2023: 4 · 2022: 1 · 2020: 1 · 2019: 5 · 2018: 2
FWCI
0.00
Type
book chapter
Language
en
Open access
closed
Licence
Locations
  • Models and modeling in science education (publishedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
Topics
  • Social Sciences › Education › Science Education and Pedagogy
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Evolution and Science Education
Keywords
systems thinking, multiple representations, system modeling, bottom-up approach, ecosystem dynamics, computer modeling, metacognitive skills, biological systems

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CoChat. (2026). Citation check: Multiple Representations in Modeling Strategies for the Development of Systems Thinking in Biology Education. https://app.cochat.ai/papers/10.1007/978-94-007-4192-8_18
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Verhoeff, R. P., Boersma, K. T., & Waarlo, A. J. (2013). Multiple Representations in Modeling Strategies for the Development of Systems Thinking in Biology Education. Models and Modeling in Science Education. https://doi.org/10.1007/978-94-007-4192-8_18

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.