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Simulation-Based Inquiry Learning and Computer Modeling: Pitfalls and Potentials

机译:基于仿真的查询学习与计算机建模:陷阱与潜力

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Background. Inquiry learning environments increasingly incorporate simulation and modeling facilities. Students acquire knowledge through systematic experimentation with the simulations and express that knowledge in runnable computer models. Aim. As inquiry and modeling activities are new and demanding for students, support for learning is needed. This article reports three experimental studies that examine how students' inquiry and modeling activities can be supported. Need for support. Study I was an empirical assessment of students' support needs. It compared a group of domain novices to two more knowledgeable reference groups in order to determine the novices' support needs. Model progression and worked examples. In Studies 2 and 3, the need for support was addressed by model progression (gradually increasing task complexity) and worked-out examples, examining the effect of those interventions on students' performance and learning. Results suggest positive effects due to both increasing model complexity and providing worked examples that show what the activities in each model progression phase entail and how they should be performed. Implications. The pattern of results across the three studies are discussed with regard to students' use of available resources, influence of prior knowledge, and the relationship between performance and learning.
机译:背景。查询学习环境越来越多地包含模拟和建模设施。学生通过系统的实验与模拟获得知识,并表达了可运行的计算机模型中的知识。目标。随着询问和建模活动对学生来说是新的,需要,需要支持学习。本文报告了三项实验研究,了解学生的查询和建模活动如何支持。需要支持。研究我是对学生的支持需求的实证评估。它将一组域名新手与两个更知识渊博的参考组进行比较,以便确定新手的支持需求。模型进展和工作示例。在研究2和3中,通过模型进展(逐渐增加任务复杂性)和制定的例子来解决对支持的需求,检查这些干预措施对学生绩效和学习的影响。结果表明,由于模型复杂性增加,并提供了展示每个模型进展阶段的活动的工作实例,以及应如何执行它们。含义。关于学生使用可用资源,事先知识的影响以及绩效与学习之间的关系,讨论了这三项研究结果的模式。

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