IDEAS home Printed from https://ideas.repec.org/a/sae/simgam/v31y2000i3p380-406.html
   My bibliography  Save this article

Learning as Acquisition and Learning as Interaction

Author

Listed:
  • Jan H. G. Klabbers

    (KMPC B. V.)

Abstract

System Dynamics (SD) is an experimental, quantitative approach for designing structures of social systems and policies that are compatible with a social system’s growth and stability objectives. The experimental model approach for the design of large scale systems is the key for learning about human organizations. Before elaborating on the types of learning environments that can be designed on the basis of SD models, this article presents a social systems theory, distinguishing classical and autopoietic systems theory. Two generic models are presented, which reflect both theoretical points of view and constitute different types of learning environments. The author summarizes epistemological views on learning and growth of knowledge in the context of learning as acquisition and learning as interaction. Subsequently, by building on the actor approach of social systems, learners are embedded in learning environments. They should learn to deal with the duality of structure of social systems, that is, learn to produce and self-reproduce structures as a context for action. Finally, these views are linked to three simulation modes and to participative design of learning environments .

Suggested Citation

  • Jan H. G. Klabbers, 2000. "Learning as Acquisition and Learning as Interaction," Simulation & Gaming, , vol. 31(3), pages 380-406, September.
  • Handle: RePEc:sae:simgam:v:31:y:2000:i:3:p:380-406
    DOI: 10.1177/104687810003100304
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/104687810003100304
    Download Restriction: no

    File URL: https://libkey.io/10.1177/104687810003100304?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:simgam:v:31:y:2000:i:3:p:380-406. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.