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首页> 外文期刊>Computers & education >Providing adaptation and guidance for design learning by problem solving: The design planning approach in DomoSim-TPC environment
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Providing adaptation and guidance for design learning by problem solving: The design planning approach in DomoSim-TPC environment

机译:通过解决问题为设计学习提供适应和指导:DomoSim-TPC环境中的设计计划方法

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Experimental learning environments based on simulation usually require monitoring and adaptation to the actions the users carry out. Some systems provide this functionality, but they do so in a way which is static or cannot be applied to problem solving tasks. In response to this problem, we propose a method based on the use of intermediate languages to provide adaptation in design learning scenarios. Although we use some approaches which are familiar from other domains (e.g., programming tutors) they are novel as regards their application to a very different domain and as a result we have incorporated new strategies. The purpose of our proposal is to provide monitoring, guidance and adaptive features for PlanEdit, a tool for the learning of integral automation methods in buildings and housing by design. This tool is part of a collaborative environment, called DomoSim-TPC, which supports distance learning of domotical design. We have carried out an experiment to obtain some data which confirm that our position can be effective for group learning of domotical design, studying the relationship between the quantity of model work carried out and the errors made.
机译:基于模拟的实验学习环境通常需要监视和适应用户执行的动作。某些系统提供了此功能,但是它们以静态的方式提供或不能应用于解决问题的任务。针对这一问题,我们提出了一种基于中间语言的使用方法,以在设计学习场景中提供适应性。尽管我们使用了其他领域(例如,编程导师)熟悉的一些方法,但它们在非常不同的领域中的应用却很新颖,因此我们引入了新的策略。我们提议的目的是为PlanEdit提供监视,指导和自适应功能,PlanEdit是一种用于通过设计学习建筑物和房屋中集成自动化方法的工具。该工具是称为DomoSim-TPC的协作环境的一部分,该环境支持远程设计的远程学习。我们已经进行了一项实验,以获取一些数据,这些数据证实了我们的职位可以有效地进行薄膜设计的集体学习,并研究了所进行的模型工作量与所犯错误之间的关系。

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