scholarly journals Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design

2015 ◽  
Author(s):  
Senay Purzer ◽  
Robin Adams ◽  
Molly Goldstein ◽  
K. Douglas
Keyword(s):  
Engineering Design ◽  
Computer Aided Design ◽  
Large Scale ◽  
Secondary Classrooms ◽  
Computer Aided ◽  
Aided Design

Exploring the Engineering Design Process Through Computer-Aided Design and 3-D Printing

Science Scope ◽  
2017 ◽  
Vol 041 (01) ◽  
Author(s):  
Nicholas Garafolo ◽  
Nidaa Makki ◽  
Katrina Halasa ◽  
Wondimu Ahmed ◽  
Kristin Koskey ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Computer Aided Design ◽  
Engineering Design Process ◽  
Computer Aided ◽  
Aided Design

Engineering and computer-aided design in teaching biotechnology

2015 ◽  
Author(s):  
Birutė Juodagalvienė ◽  
Birutė Tamulaitienė
Keyword(s):  
Engineering Design ◽  
Computer Aided Design ◽  
Basic Knowledge ◽  
Professional Work ◽  
Language Understanding ◽  
Knowledge And Skills ◽  
Computer Aided ◽  
Aided Design

Knowledge in engineering design is currently indispensable in many fields including bioengineering. The students attending the lecture course Engineering and Computer-Aided Design acquire the basic knowledge and skills in a very important language – graphics language. Understanding the objectives, purpose and fundamentals of the symbols and rules used in engineering design will be useful in studying other courses as well as will enable the students to apply this knowledge and skills in their professional work.

Introductory remarks

1971 ◽  
Vol 321 (1545) ◽  
pp. 145-146
Keyword(s):  
Engineering Design ◽  
Computer Aided Design ◽  
Mechanical Engineering ◽  
Future Research ◽  
Design Work ◽  
Computer Aided ◽  
Hidden Line ◽  
Multi Access ◽  
Aided Design ◽  
Design And Manufacture

From time to time the Royal Society organizes meetings for the discussion of some new development in engineering and applied science. It seemed possible to the organizers of this meeting that it would be profitable to bring together workers in industry and in the universities to discuss some aspect of computer-aided design. As you will see we have chosen the application of computer aids to mechanical engineering design and manufacture. This restriction to mechanical engineering was deliberate, partly because the application of computer aids to mechanical engineering design is somewhat behind similar activities in electrical and civil engineering. Another reason is that the development of such applications has reached a particularly interesting stage, and it is now perhaps appropriate to review progress and to discuss the directions in which future research should proceed. Although some examples of computer-aided design in mechanical engineering can be found from the earliest days of computing, the development really started in the late fifties with early experiments in the use of graphic displays and with the introduction of multi-access computing. Some may date the beginning of the developments which we are going to discuss today, from the work at M. I. T. on automated programmed drawing started in 1958. This has led to a concentration of effort on graphics and computer-aided drafting. Much research has been done on the mathematical description of curves, surfaces and volumes in a form suitable for engineering design. Work has been done on the automatic dimensioning of drawings, hidden line removal, the prob­lems of lofting, etc.

Computer Aided Design of Chinese College English Teaching Materials Based on COCA Corpus

2014 ◽  
Vol 590 ◽  
pp. 916-919
Author(s):  
Yan Juan Huo
Keyword(s):  
Computer Aided Design ◽  
Large Scale ◽  
English Language ◽  
English Language Teaching ◽  
Teaching Material ◽  
Teaching Resources ◽  
College English ◽  
English Teaching ◽  
Computer Aided ◽  
Aided Design

As the flourishing of computer technology and the appearing of lots of large-scale and well-designed corpora and concordance software, corpus-based approach, an advanced teaching resources, has been widely employed in language researches of various fields and perspectives. English teaching material, the main source of language input, has the quality and authority in Chinese English language teaching classes. The present study attempts to bring about some innovations in construction and designing of teaching material on the basis of the Corpus of Contemporary American English (COCA). Moreover, the research is intended to effectively improve teacher’s input and introducing data-driven learning (DDL), and to effectively stimulate the motivations of students by using this computer-aided and COCA-based designing.

Automatic Assessment of Students’ Engineering Design Performance Using a Bayesian Network Model

2020 ◽  
pp. 073563312096042
Author(s):  
Wanli Xing ◽  
Chenglu Li ◽  
Guanhua Chen ◽  
Xudong Huang ◽  
Jie Chao ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Engineering Design ◽  
Network Model ◽  
Computer Aided Design ◽  
Personalized Feedback ◽  
Bayesian Network Model ◽  
Computer Aided ◽  
Design Software ◽  
K 12 ◽  
Aided Design

Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide personalized feedback on a timely basis. This study proposes a Bayesian network model to dynamically and automatically assess students’ engagement with engineering design tasks and to support formative feedback. Specifically, we applied a Bayesian network to 111 ninth-grade students’ process data logged by a computer-aided design software program that students used to solve an engineering design challenge. Evidence was extracted from the log files and fed into the Bayesian network to perform inferential reasoning and provide a barometer of their performance in the form of posterior probabilities. Results showed that the Bayesian network model was competent at predicting a student’s task performance. It performed well in both identifying students of a particular group (recall) and ensuring identified students were correctly labeled (precision). This study also suggests that Bayesian networks can be used to pinpoint a student’s strengths and weaknesses for applying relevant science knowledge to engineering design tasks. Future work of implementing this tool within the computer-aided design software will provide instructors a powerful tool to facilitate engineering design through automatically generating personalized feedback to students in real time.

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