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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/74386

    Title: 基模架構對學習系統思考方法之影響
    Other Titles: The effects of schemas on learning the methods of systems thinking
    Authors: 曾奕樵;Tseng, I-Chiao
    Contributors: 淡江大學公共行政學系公共政策碩士在職專班
    韓 釗
    Keywords: 系統動力學;基模架構;存量;流量;反饋;System Dynsmics;Schemas;Stocks;Flows;Feedback
    Date: 2011
    Issue Date: 2011-12-28 18:29:21 (UTC+8)
    Abstract: 本研究焦點著重於呈現學習者在接受十至十二小時的系統動力學相關課程後,如何應用系統動力學中的基本概念,如:流量、存量及反饋等進行問題分析。由於一般人為了詮釋外在世界,而以過去的生活經驗或知識累積為基礎,逐漸累積發展出各種認知結構,並形成存在於心智中的基模架構,故當其所學習的新觀念與舊基模架構不一致時,往往難以修正既存的認知結構,以致不僅難以理解這些新觀念,甚至會增加產生誤解的可能性。本研究旨在了解既有基模架構如何影響系統思考的學習,並提出以下五點研究發現:


    This research focused on presenting the difference between the basic concepts of System Dynamics such as stocks, flows and feedback, and the situation that learners analyzed their problems after they took ten to twelve hours System Dynamics course. Generally, in order to interpret the outside world because, we usually developed a variety of cognition structures that were in turn transformed into schemas based on our life experiences or accumulated knowledge. As a result, when we are learning new concepts inconsistent with our existent schemas, it is often very hard to have our cognition structures modified. Moreover, it is very likely that we tend to misunderstand these new concepts when we apply them. The purpose of this research is to find out how our existent schemas affect our learning of systems thinking. The major findings of this research are stated as follows:

    First,“direct causal relationship”tends to perceive that cause and effect are closely related in time and space, and that the relations between stocks and flows are static. As a result, the stocks and flows inferred by the learners often lack accumulation relaitonships. Second,“simplistic rule”tends to avoid detail and thorough classification of information that usually leads to ambiguity and unquantifiablity of factors. Third, “direct causal relationship”and“simplistic rule”that presumes system boundary of a specific period of stocks often excluded a number of factors that ought to exist in the system. Fourth,“one-way causal framework”is a kind of simplistic linear causal pattern which considers that a cause only affects one outcome; “direct causal relationship”focuses on the causal relationships between close factors. Both of them tend to prevent the ability of detecting feedback loops in the system. Finally, “direct causal relationship” that analyzes the relationship between stocks and flows from a static causal perspective and “simplistic rule” that presumes specific system boundaries tend to make the learners mistake the stocks that are in fact crucial.

    Based on the research findings stated above, the following suggestions for future research are proposed. First, future research may consider to analyze learners’ reports focusing on different type of problems so as to identify the relationships between the situations that learners apply the basic concepts of System Dynamics and the types of the problems. Second, future researchers may consider to observe the learners in the process of learning systems thinking and make interviews so as to collect first hand data for conducting analyses. Finally, it is suggested that a pretesting and posttesting research design that compares the situations of the learners in analyzing problems before and after they take the systems thinking course may be considered so as to learn the real effects of the course.
    Appears in Collections:[公共行政學系暨研究所] 學位論文

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