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Improving the Learning Experience within MCAD Education: A Tool for Students to Assist in Self-Assessment during Modeling Exercises 改善MCAD教育中的学习体验:学生在建模练习中协助自我评估的工具
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.149-153
F. Mandorli, Herald Otto
Introduction: Current developments and recent work in educational research have been aimed at creating awareness of and addressing the most prominent shortcomings and failures of current CAD education, in particular at institutions of higher education. Such efforts have provided new insights and recommendations, although the work is still limited and the results sometimes contradictory. Obviously, there is demand for a change of focus in traditional CAD education from the declarative knowledge relating to geometric algorithms and commands required for operating a CAD system, in the literature referred to as command knowledge, toward knowledge and expertise which can transcend a particular CAD system. This demand highlights the need for higher level thinking relating to what is commonly known as strategic knowledge, i.e. knowledge of the different methods of achieving a specific task (goal) and knowing how to choose among those methods. This requires, among other factors, a high-quality learning experience during frequent educational exercises in the CAD laboratory, providing opportunities for students to experience both design and creation of their own CAD models and the re-design and alteration of them. This also includes promoting good design practice by relating CAD model attributes and parameters to part functionality and design intent, which, in turn, depends on the restructuring of curricula. Current efforts are aimed at designing alternative teaching approaches and integrating suitable elements of those into CAD education so that it is transformed into a more student-centered, learning-oriented and practice-oriented system. It needs to be better structured so that it efficiently and effectively matches actual student learning outcomes with skills and competencies related to, among other attributes, spatial ability and mental visualization, cognitive model composition, meta-cognitive processes including planning, predicting, revision, and, most importantly, self-assessment and self-regulation (cf. [9,11,12]).
导读:目前教育研究的发展和最近的工作旨在提高人们对当前CAD教育的认识,并解决当前CAD教育中最突出的缺点和失败,特别是在高等教育机构。这些努力提供了新的见解和建议,尽管工作仍然有限,结果有时相互矛盾。显然,传统CAD教育的重点需要从与操作CAD系统所需的几何算法和命令相关的说明性知识(在文献中称为命令知识)转变为可以超越特定CAD系统的知识和专业知识。这种需求强调了对更高层次思维的需求,这种思维通常被称为战略知识,即了解实现特定任务(目标)的不同方法,并知道如何在这些方法中进行选择。除其他因素外,这需要在CAD实验室频繁的教学练习中获得高质量的学习体验,为学生提供体验设计和创建自己的CAD模型以及重新设计和更改模型的机会。这也包括通过将CAD模型属性和参数与零件功能和设计意图相关联来促进良好的设计实践,这反过来又取决于课程的重组。目前的努力旨在设计替代教学方法,并将这些方法中的适当元素纳入CAD教育,使其转变为一个更以学生为中心、以学习为导向和以实践为导向的系统。它需要更好的结构,以便有效地将学生的实际学习成果与空间能力和心理可视化、认知模型组成、元认知过程(包括计划、预测、修订,以及最重要的自我评估和自我调节)等属性相关的技能和能力相匹配(参见[9,11,12])。
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引用次数: 2
Product Innovation based on Technology Recombination 基于技术重组的产品创新
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.113-117
Limeng Liu, Jinpu Zhang, R. Tan, Q. Peng, Boyuan Zhao, Xiangdong Li
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引用次数: 0
Interior Ball-Pivoting on Point Clouds for Offsetting Triangular Meshes 在点云上进行内部球旋转以抵消三角形网格
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.83-87
Tathagata Chakraborty
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引用次数: 0
Recognition of Free-form Features for Finite Element Meshing using Deep Learning 基于深度学习的有限元网格自由形态特征识别
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.31-35
H. Takashima, S. Kanai
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引用次数: 3
Improvement of Technological Innovation of SMEs Using Patent Knowledge 运用专利知识促进中小企业技术创新
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.165-170
Chuan He, R. Tan, Q. Peng, Fan Shi, Peng Shao, Xiangdong Li
Authors: Chuan He, chuan_river@163.com, Hebei University of Technology, Tianjin, China Runhua Tan, rhtan@hebut.edu.cn, Hebei University of Technology, Tianjin, China Qingjin Peng, Qingjin.Peng@umanitoba.ca, University of Manitoba, Winnipeg, Canada Fan Shi, sf4326@126.com, Hebei University of Technology, Tianjin, China Peng Shao, shaopengs@163.com, Hebei University of Technology, Tianjin, China Xiangdong Li, lee96xd@163.com, Hebei University of Technology, Tianjin, China
作者:何川,chuan_river@163.com,天津河北工业大学,中国谭润华,rhtan@hebut.edu.cn,天津河北工业大学,中国彭庆金,Qingjin.Peng@umanitoba.ca,加拿大马尼托巴大学,温尼伯,加拿大石凡,sf4326@126.com,天津河北工业大学,中国邵鹏,shaopengs@163.com,天津河北工业大学,中国李向东,lee96xd@163.com,天津河北工业大学
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引用次数: 0
Benchmarking of 3D Modelling in Virtual Reality 虚拟现实中三维建模的基准测试
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.324-328
T. Tran, Gilles Foucault, R. Pinquié
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引用次数: 5
Uniqueness Theorem on the Shape of Free-form Curves Defined by Three Control Points 由三个控制点定义的自由曲线形状的唯一性定理
Pub Date : 2021-05-12 DOI: 10.14733/CADAPS.2022.293-305
K. Miura, Dan Wang, R. Gobithaasan, T. Sekine, S. Usuki
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引用次数: 2
Grid Shape Descriptor using Path Integrals for Measuring Sheet Metal Parts Similarity 基于路径积分的网格形状描述子测量钣金件相似度
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.272-276
Mikko Yliharsila, J. Hirvonen
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引用次数: 0
Automatic CAD Assemblies Generation by Linkage Graph Overlay for Machine Learning Applications 面向机器学习应用的联动图叠加CAD组件自动生成
Pub Date : 2021-05-12 DOI: 10.14733/CADCONFP.2021.46-50
Lucas Vergez, A. Polette, J. Pernot
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引用次数: 1
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CAD'21 Proceedings
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