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Mehdi Ghahremani; Nielsen Pereira; Zafer Ozen; Marcia Gentry – Roeper Review, 2024
The purpose of this study was to systematically investigate how novice visual representation of design ideas has been operationalized, measured, or assessed in the research literature. In the different screening phases in this systematic review, inclusion, exclusion, and quality criteria were applied. From an initial sample of 958 articles, 40…
Descriptors: Design, Visualization, Visual Aids, Communication (Thought Transfer)
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A. Martín Erro; S. Nuere Menéndez-Pidal – Journal of Visual Literacy, 2024
This paper aims to analyse to what extent the engineering curricula contribute to the development of visual literacy among engineering students. Communicating and thinking visually is a basic skill for all engineers, being a fundamental part of their educational stage. For this purpose, Engineering Graphics subjects from 30 engineering schools…
Descriptors: Visual Literacy, Engineering Education, Drafting, Foreign Countries
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Papakostas, Christos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo – Informatics in Education, 2021
This review paper presents a systematic literature review on the use of Augmented Reality (AR) in engineering education, and specifically in student's spatial ability training, for the last decade. Researchers have explored the benefits of AR, and its application has been of increasing interest in all levels of education. Engineering students tend…
Descriptors: Computer Simulation, Spatial Ability, Visualization, Educational Technology
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Philipp Gutruf; Urs Utzinger; Vignesh Subbian – Biomedical Engineering Education, 2021
Engineering design courses are particularly challenging to deliver in online or distance modalities because of the hands-on, collaborative nature of the design process and the need for physical resources and work spaces. In this work, we describe how we rapidly transformed two design courses in the middle two years of the biomedical engineering…
Descriptors: Engineering Education, Drafting, Design, Biomedicine
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Harris, La Verne Abe; Sadowski, Mary S.; Birchman, Judy A. – Engineering Design Graphics Journal, 2006
Kolb (2004) and others have defined learning style as a preference by which students learn and remember what they have learned. This presentation will include a summary of learning style research published in the "Engineering Design Graphics Journal" over the past 15 years on the topic of learning styles and graphics education. The…
Descriptors: Cognitive Style, Periodicals, Drafting, Measures (Individuals)
Duelm, Brian Lee – 1986
Estimates calling for 1.2 million computer-assisted design (CAD) operator positions to be available by 1990 have prompted educational institutions throughout the country to incorporate instruction in CAD into their industrial arts curricula. Therefore, the question for schools is not whether to buy but rather what to buy. An effective strategy for…
Descriptors: Computer Software, Courseware, Drafting, Fused Curriculum
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Affleck, Glenn G. – Mental Retardation, 1980
Findings of four recent survey studies of physicians' attitudes toward discretionary medical treatment of infants with Down's syndrome are evaluated in terms of three major themes. It is apparent that most physicians in the specialities sampled prefer that life-sustaining treatment be withheld in certain instances. (Author)
Descriptors: Attitudes, Downs Syndrome, Drafting, Ethics
Organisation for Economic Cooperation and Development, Paris (France). Centre for Educational Research and Innovation. – 1986
This document reports on an analysis conducted to find out how white-collar workers have been affected by the latest developments in computerization and how current changes influence work organization, personnel training, and skills. The document consists of an introduction, seven chapters, and an 18-page bibliography. The first chapter examines…
Descriptors: Automation, Change, Computers, Drafting
Jones, Mark K.; And Others – Educational Technology, 1990
Presents a knowledge representation model that was designed for instructional decision making. Topics discussed include classification models for instructional design; artificial intelligence; semantic networks; natural language; and data models, including network and hierarchical models. An example is given of knowledge analysis for a secondary…
Descriptors: Artificial Intelligence, Classification, Cognitive Structures, Computer Assisted Design
Scribner, Shauna A.; Anderson, Marcia A. – Journal of Industrial Teacher Education, 2005
According to Farrell and Kotrlik (2003), educators can become more effective teachers by assessing their students' preferred learning styles. This assessment can help in planning the curriculum and in selecting appropriate instructional methods. Thus, research is needed to determine if there is a link between students' learning styles and their…
Descriptors: Instructional Effectiveness, Visualization, Teaching Methods, Cognitive Ability