Providing feedback for common problems in learning by conceptual modeling using expectation-driven consistency maintenance
Providing feedback for common problems in learning by conceptual modeling using expectation-driven consistency maintenance
复制标题
使用期望驱动的一致性维护通过概念建模为学习中的常见问题提供反馈
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
B. Bredeweg
中科院分区：
文献类型：
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作者：
W. Beek;B. Bredeweg
通过构建模型来学习并通过运行模拟来反思模型是教育中的一个重要范例。采用这种方法的新建模工具正在出现，并专注于学习解释系统如何行为以及为何这样做的概念知识。这些工具带来的学习效果很有希望，但当学习者想要但无法调整模型以使模拟结果符合他们的期望时，进展就会受到阻碍。在此报告的研究中，正在开发自动化支持，帮助学习者识别模型中的问题。为此，对为诊断设备而开发的基于模型的技术进行了调整并用于自动化概念建模辅助。本文介绍了迄今为止开发的解决方案。
Learning by building models and reflecting on them by running simulations is an important paradigm in education. New modeling tools are emerging that take this approach, and focus on learning conceptual knowledge explaining how systems behave and why they do so. These tools are promising in the learning effect they bring about, but progress gets hampered when learners want, but are unable to adjust their model so that the simulation results align with their expectations. In the research reported here, automated support is being developed that helps learners identify the problem(s) in their model. To this end, model-based techniques developed for diagnosing devices are adapted and used to automate the conceptual modeling assistance. This paper describes the solutions developed thus far.