The education of architectural design requires balanced curricular arrangements of respectively theoretical knowledge and practical skills to really help students build their knowledge structures, particularly helping them in solving the problems of cognitive load. The purpose of this study is to establish an architectural design knowledge conversion model, helping students to obtain architectural design knowledge through a learning process of knowledge sharing/socialization, extraction, externalization, integration, creation and internalization. This model can help students to effectively solve the problems of cognitive load in the learning process, achieve knowledge construction and storage through meaningful learning, apply their knowledge in their future designs and, ultimately, improve their design capability. This study starts with a literature review on theories of knowledge conversion and cognitive load to establish an architectural design knowledge conversion model complemented with especially designed curricular contents and activities. The model is applied in actual teaching to find out if the application of this model has a positive influence on the students in their learning of architectural design, solving the ill-defined problems in their learning and easing their cognitive load.
In this study, the technology acceptance model (TAM) is used to analyze from a vocational school to usethe Web-based BIM cost analysis system developed in this study.
Abstract. With the proposed concept of things, things technology in logistics and distribution will promote the further development of logistics and distribution. Based on the current status of domestic and international distribution logistics comparative study found insufficient logistics existing in our country at present, proposed application of networking technology to solve these problems, all aspects of logistics and distribution needs of networking technology for the analysis, with Things technology integration means to optimize the distribution process, on this basis, build a distribution system for the design of the system architecture and functionality, and the establishment of a logistics optimization model provides theoretical support for scientific and effective decision-making system . Through this study, we can promote networking technology in logistics and distribution, improve logistics and distribution mechanization, intelligent, level of information, to provide a reference for the development of China's logistics industry.
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