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The implementation of digital technology for automation of teaching processes

机译:实施数字技术以实现教学过程的自动化

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The computer support of teaching and learning processes is still a large challenge for ICT. Namely, the actual level of human-computer interaction does not enable teachers or students to support the educational processes and automate them in a way that is natural for humans (e.g. solutions in natural language are missing). If they should be computerized, the crucial problem is that these processes, by the nature, are characterized by a continuous knowledge flow between teachers and students. Because knowledge is closely linked to mental processes of humans, they are uncertain and characterized by use of unstructured data. The state-of-the-art is prevailing by technology-driven approaches. This is more centered on how to create a technological infrastructure or tools, and how to have access to data on the internet, rather than how to process the knowledge flow. However, from a teacher's point of view, computer support is more about processes, how to computerize teaching in the classroom, communication, feedback, how to write student works, the creation of teaching texts, and hundreds of other issues respectively. Thus, more sophisticated IT solutions and an innovative approach for knowledge abstraction and representation is needed for the automation of teaching processes. This paper deals with how these issues were solved in natural language within a long-term participatory action research on technology-enhanced learning when teaching bachelor students. The research outcomes - the technology-driven and educational-driven approach, in-house educational software with a personalized supportive system, and innovative approach to the abstraction of knowledge are briefly presented as examples from the practice. The abstraction of the virtual knowledge unit is a part of the registered utility model 7340/2015 (the patent classification IPC G06F17/30, G06Q 10/10).
机译:教与学过程的计算机支持仍然是ICT面临的巨大挑战。即,人机交互的实际水平不能使教师或学生以对人类自然的方式支持教育过程并使它们自动化(例如,缺少自然语言的解决方案)。如果应该将其计算机化,则关键问题在于,这些过程从本质上说具有师生之间持续不断的知识流动的特征。由于知识与人类的心理过程紧密相关,因此它们是不确定的,并具有使用非结构化数据的特征。技术驱动的方法占了上风。这更多地集中在如何创建技术基础架构或工具以及如何访问Internet上的数据上,而不是如何处理知识流上。但是,从教师的角度来看,计算机支持更多地涉及过程,如何在课堂上对计算机进行计算机化,交流,反馈,如何编写学生作品,创建教学教科书以及其他数百个问题。因此,需要更复杂的IT解决方案以及用于知识抽象和表示的创新方法,以实现教学过程的自动化。本文在对学士学位学生进行技术增强学习的长期参与式行动研究中,探讨了如何用自然语言解决这些问题。作为实践中的实例,简要介绍了研究成果-技术驱动和教育驱动的方法,带有个性化支持系统的内部教育软件以及知识抽象的创新方法。虚拟知识单元的抽象是已注册实用新型7340/2015(专利分类IPC G06F17 / 30,G06Q 10/10)的一部分。

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