用计算机模拟进行学习和教学

Ton de Jong
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引用次数: 179

摘要

计算机模拟在很多情况下都有应用,比如假设分析、实验和教学。本卷的主题是在教学中使用计算机模拟。计算机模拟的教学使用有四个特点:•存在一个形式化的、可操作的模型;•存在学习目标(如概念或操作知识);•引出特定的学习过程(如假设生成和测试);•存在学习者活动(学习者可以使用模型进行操作)。这四个特点共同限制了我们对计算机模拟教学的看法。建模的相关主题与模拟具有上述特征,但有一个额外的特征:•干扰底层模型属性的可能性。在教学中应用模拟很重要,原因有很多,其中最重要的可能是学习者将参与主动探索和学习-这是现代教学/学习理论所提倡的一种方法。在模拟中创造假设的现实或改变时间尺度可能会维持这种学习方法。使用模拟的另一个原因是动机方面,以及由于危险、成本或时间的原因,创造现实中不可接受的情况的可能性。探索式学习对学习者提出了很高的认知要求。这可能会导致低效和无效的学习行为,学生在模拟环境中挣扎,不利用机会。因此,如果从模拟中学习是有效的,似乎需要支持。这种支持可以由真人老师提供,也可以由计算机学习环境提供。本卷介绍了这种计算机学习环境的要素清单的结果。该清单是在DELTA的一个名为SIMULATE的项目中进行的。在本项目中,为学习者提供智能支持并以模拟为核心的学习环境被称为智能模拟学习环境(ISLE)。
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Learning and instruction with computer simulations

Computer simulations are used in many contexts, such as what-if analyses, experimentation and instruction. The topic of the present volume is the use of computer simulations in instruction. Instructional use of computer simulations has four characteristics:

  • Presence of a formalized, manipulable model;

  • Presence of learning goals (such as conceptual or operational knowledge);

  • Elicitation of specific learning processes (such as hypothesis generation and testing);

  • Presence of learner activity (learners may perform manipulations with the model). These four characteristics together confine our view on instruction and learning with computer simulations. The related topic of modelling shares the above mentioned characteristics with simulation, but has an additional one:

    • Possibility of interfering with the properties of the underlying model. Applying simulations in instruction is important for a number of reasons, the most important of which is probably that learners will be engaged in active exploration and learning — an approach which is advocated in modern instructional/learning theories. Creating hypothetical realities or changing time scales in simulations might sustain this learning approach. Additional reasons for using simulations are a motivational aspect and the possibility of creating situations that are unacceptable in reality for reasons of danger, costs or time.

Learning through exploration puts high cognitive demands on learners. This may result in inefficient and ineffective learning behaviour, where students flounder and do not use the opportunities the simulation environment offers. Therefore, it seems that support is needed if learning from simulations is to be effective. This support can be given by a human teacher but also by a computer learning environment.

The present volume presents the results of an inventory of elements of such a computer learning environment. This inventory was conducted within a DELTA project called SIMULATE. In the project a learning environment that provides intelligent support to learners and that has a simulation as its nucleus is termed an Intelligent Simulation Learning Environment (ISLE).

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