Population Growth Modelling Simulations: Do They Affect the Scientific Reasoning Abilities of Students?

Kathy Lea Malone, Anita Schuchardt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Students need to be able to be able to develop their scientific reasoning skills in secondary schools by collecting data and developing science models. Internationally, a greater number of countries are developing nationwide standards that require the use of hands-on approaches, the development and use of science models by students and include final assessments of their scientific reasoning skills. However, in biology classes this can be difficult due to the nature of the subjects. This paper discusses the use of spreadsheet-based simulations within the context a modelling-based pedagogical unit focused on population growth in introductory secondary level biology classes. The effect of the implementation on students scientific reasoning skills were assessed in terms of scientific reasoning sub-skills as well as Piagetian reasoning levels within the context of a quasi-experimental design study. The findings suggest that the implementation was successful with the treatment cohort usually outperforming the comparison cohort.

Original languageEnglish (US)
Title of host publicationComputer Supported Education - 11th International Conference, CSEDU 2019, Revised Selected Papers
EditorsH. Chad Lane, Susan Zvacek, James Uhomoibhi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages285-307
Number of pages23
ISBN (Print)9783030584580
DOIs
StatePublished - 2020
Event11th International Conference on Computer Supported Education, CSEDU 2019 - Heraklion, Crete, Greece
Duration: May 2 2019May 4 2019

Publication series

NameCommunications in Computer and Information Science
Volume1220
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference11th International Conference on Computer Supported Education, CSEDU 2019
Country/TerritoryGreece
CityHeraklion, Crete
Period5/2/195/4/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • Modelling instruction
  • Science modelling
  • Scientific reasoning
  • Simulations population growth

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