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A Blend of Planning and Learning: Simplifying a Simulation Model of National Development

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Title: A Blend of Planning and Learning: Simplifying a Simulation Model of National Development
Language: English
Authors: Kopainsky, Birgit, Pedercini, Matteo, Davidsen, Pal I., Alessi, Stephen M.
Source: Simulation & Gaming. Oct 2010 41(5):641-662.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 22
Publication Date: 2010
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Behavior Patterns, Academic Achievement, Models, Computer Simulation, Decision Making, Foreign Countries, Games, Task Analysis, Policy Formation, Planning
Geographic Terms: Africa
DOI: 10.1177/1046878109332280
ISSN: 1046-8781
Abstract: Simulation models provide decision support to long-term planning processes. The Bergen Learning Environment for National Development (BLEND) is a game based on a simplified version of Millennium Institute's Threshold 21 model (T21) that sensitizes policy makers in sub-Saharan African nations to the need for simulation-based decision support. The simplification eliminates or aggregates details about individual policy sectors and maintains cross-sector relationships. Validation indicates that the full and the simplified T21 model generate very similar behavior patterns for a wide range of policy scenarios. Pilot tests demonstrate that the simplified T21 model contributes to the learning goals of BLEND. The debriefing employs causal loop diagrams and simulation for structural explanations of the behavior observed during the game. BLEND workshops with repeated runs of the game, full debriefing sessions and different formats of instructional support will contribute further to research on dynamic decision making and learning about tasks with great complexity. (Contains 2 figures, 6 tables and 1 note.)
Abstractor: As Provided
Number of References: 39
Entry Date: 2010
Accession Number: EJ899112
Database: ERIC
FullText Text:
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  Data: A Blend of Planning and Learning: Simplifying a Simulation Model of National Development
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  Data: <searchLink fieldCode="AR" term="%22Kopainsky%2C+Birgit%22">Kopainsky, Birgit</searchLink><br /><searchLink fieldCode="AR" term="%22Pedercini%2C+Matteo%22">Pedercini, Matteo</searchLink><br /><searchLink fieldCode="AR" term="%22Davidsen%2C+Pal+I%2E%22">Davidsen, Pal I.</searchLink><br /><searchLink fieldCode="AR" term="%22Alessi%2C+Stephen+M%2E%22">Alessi, Stephen M.</searchLink>
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
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  Data: 22
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  Data: Journal Articles<br />Reports - Descriptive
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  Data: <searchLink fieldCode="DE" term="%22Behavior+Patterns%22">Behavior Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Simulation%22">Computer Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Games%22">Games</searchLink><br /><searchLink fieldCode="DE" term="%22Task+Analysis%22">Task Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Policy+Formation%22">Policy Formation</searchLink><br /><searchLink fieldCode="DE" term="%22Planning%22">Planning</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Africa%22">Africa</searchLink>
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  Data: 10.1177/1046878109332280
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  Data: 1046-8781
– Name: Abstract
  Label: Abstract
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  Data: Simulation models provide decision support to long-term planning processes. The Bergen Learning Environment for National Development (BLEND) is a game based on a simplified version of Millennium Institute's Threshold 21 model (T21) that sensitizes policy makers in sub-Saharan African nations to the need for simulation-based decision support. The simplification eliminates or aggregates details about individual policy sectors and maintains cross-sector relationships. Validation indicates that the full and the simplified T21 model generate very similar behavior patterns for a wide range of policy scenarios. Pilot tests demonstrate that the simplified T21 model contributes to the learning goals of BLEND. The debriefing employs causal loop diagrams and simulation for structural explanations of the behavior observed during the game. BLEND workshops with repeated runs of the game, full debriefing sessions and different formats of instructional support will contribute further to research on dynamic decision making and learning about tasks with great complexity. (Contains 2 figures, 6 tables and 1 note.)
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  Data: 2010
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        Value: 10.1177/1046878109332280
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 641
    Subjects:
      – SubjectFull: Behavior Patterns
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Computer Simulation
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      – SubjectFull: Decision Making
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Games
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      – SubjectFull: Task Analysis
        Type: general
      – SubjectFull: Policy Formation
        Type: general
      – SubjectFull: Planning
        Type: general
      – SubjectFull: Africa
        Type: general
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      – TitleFull: A Blend of Planning and Learning: Simplifying a Simulation Model of National Development
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            NameFull: Pedercini, Matteo
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            NameFull: Davidsen, Pal I.
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            NameFull: Alessi, Stephen M.
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