View in EDS HTML Full Text PDF Full Text

Understanding Complex Ecosystems Through an Agent-Based Participatory Watershed Simulation.

Saved in:
Bibliographic Details
Title: Understanding Complex Ecosystems Through an Agent-Based Participatory Watershed Simulation.
Authors: Jeong, Soojeong1 (AUTHOR) soojeong.jeong@usu.edu, Elliott, Jennifer B.2 (AUTHOR), Feng, Zhang1,3 (AUTHOR), Feldon, David F.1 (AUTHOR)
Source: Journal of Science Education & Technology. Oct2022, Vol. 31 Issue 5, p691-705. 15p. 1 Diagram, 4 Charts.
Subject Terms: *Science education, *Concept mapping, Ecosystems
Abstract: The properties and functions of complex systems apply across a variety of domains of science and are at the heart of the solutions to many global crises facing the world today. As such, understanding of complex systems has been increasingly recognized as a core goal of science education. Learning about complexity-related concepts and phenomena is persistently considered difficult for many students—even at the undergraduate level, but traditional pedagogical approaches have been unsuccessful in teaching complex systems effectively. Evidence indicates that agent-based participatory simulations can be promising for this purpose. Using mixed methods, cross-case analysis, we examined how undergraduates experience changes in their understanding of the watershed as a complex ecosystem with the use of a particular agent-based participatory simulation called the UVA Bay Game. While one of the cases yielded evidence of nonsignificant quantitative change between pre- and post-simulation concept maps, this study observed an overall positive increase of complex system understanding through both concept map analysis and narrative reflections on learning. Our findings extend the current understanding of the role of participatory agent-based simulations in teaching and learning about complex systems in classrooms. Implications and limitations are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Science Education & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: ehh
DbLabel: Education Research Complete
An: 158854066
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Understanding Complex Ecosystems Through an Agent-Based Participatory Watershed Simulation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jeong%2C+Soojeong%22">Jeong, Soojeong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> soojeong.jeong@usu.edu</i><br /><searchLink fieldCode="AR" term="%22Elliott%2C+Jennifer+B%2E%22">Elliott, Jennifer B.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Zhang%22">Feng, Zhang</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feldon%2C+David+F%2E%22">Feldon, David F.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Science+Education+%26+Technology%22">Journal of Science Education & Technology</searchLink>. Oct2022, Vol. 31 Issue 5, p691-705. 15p. 1 Diagram, 4 Charts.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Science+education%22">Science education</searchLink><br />*<searchLink fieldCode="DE" term="%22Concept+mapping%22">Concept mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystems%22">Ecosystems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The properties and functions of complex systems apply across a variety of domains of science and are at the heart of the solutions to many global crises facing the world today. As such, understanding of complex systems has been increasingly recognized as a core goal of science education. Learning about complexity-related concepts and phenomena is persistently considered difficult for many students—even at the undergraduate level, but traditional pedagogical approaches have been unsuccessful in teaching complex systems effectively. Evidence indicates that agent-based participatory simulations can be promising for this purpose. Using mixed methods, cross-case analysis, we examined how undergraduates experience changes in their understanding of the watershed as a complex ecosystem with the use of a particular agent-based participatory simulation called the UVA Bay Game. While one of the cases yielded evidence of nonsignificant quantitative change between pre- and post-simulation concept maps, this study observed an overall positive increase of complex system understanding through both concept map analysis and narrative reflections on learning. Our findings extend the current understanding of the role of participatory agent-based simulations in teaching and learning about complex systems in classrooms. Implications and limitations are discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Science Education & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=158854066
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10956-022-09987-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 691
    Subjects:
      – SubjectFull: Science education
        Type: general
      – SubjectFull: Concept mapping
        Type: general
      – SubjectFull: Ecosystems
        Type: general
    Titles:
      – TitleFull: Understanding Complex Ecosystems Through an Agent-Based Participatory Watershed Simulation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jeong, Soojeong
      – PersonEntity:
          Name:
            NameFull: Elliott, Jennifer B.
      – PersonEntity:
          Name:
            NameFull: Feng, Zhang
      – PersonEntity:
          Name:
            NameFull: Feldon, David F.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 10590145
          Numbering:
            – Type: volume
              Value: 31
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of Science Education & Technology
              Type: main
ResultId 1