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Engineering Education in an Industrial Context

机译:工业环境下的工程教育

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Learning is a lifelong process, which may not end at the transition from school to work. To exploit modern software systems used in design engineering, in order to increase efficiency and stay competitive, engineers have to keep on gaining knowledge during occupation. Anyhow, employees are usually not or only insufficiently trained, as no working time shall be lost. This paper demonstrates an opportunity to implement a learning-by-doing within the development process by the utilization of a Knowledge Based Engineering System (KBES). The user is supposed to be able to improve efficiency and quality in design engineering without the need of time-consuming trainings. Instead he/she is getting a short introduction (10 to 15 minutes), which can take place anytime during work. Therefore, product- and process-knowledge is saved within a knowledge-base and provided to the user in a way allowing him/her to use the system intuitively as he/she is guided through the process. As each step of the system may be reconstructed in the structure tree of the CA-system, the user understands the basic concepts in an implicit way. An experimental study is conducted to prove the effects of the KBES. The results clearly show that the efficiency and data-quality can be raised by the usage of such a system. Furthermore the study proves that there is a learning effect as the test persons could improve their results on a more complicated task after about four to six weeks past the introduction. The results may be explained with the Cognitive-Load-theory regarding the method of Worked-Out-Examples.
机译:学习是一个终生过程,可能不会从学校过渡到工作就结束。为了开发设计工程中使用的现代软件系统,以提高效率并保持竞争力,工程师必须在占领期间不断获取知识。无论如何,通常不会或不会对员工进行充分的培训,因为不会浪费任何工作时间。本文展示了一个利用基于知识的工程系统(KBES)在开发过程中实施边做边学的机会。假定用户无需进行耗时的培训即可提高设计工程的效率和质量。相反,他/她得到了简短的介绍(10到15分钟),可以在工作期间随时进行。因此,产品和过程知识保存在知识库中,并以允许他/她在过程中被引导的方式直观地使用系统的方式提供给用户。由于可以在CA系统的结构树中重建系统的每个步骤,因此用户以隐式方式理解基本概念。进行实验研究以证明KBES的作用。结果清楚地表明,使用这种系统可以提高效率和数据质量。此外,研究证明,由于测试人员可以在引入后约4至6周完成一项更复杂的任务,因此可以提高学习效果。可以用关于“实例化方法”的认知负荷理论来解释结果。

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