Dynamic Design Intents Capture with Formal Ontology and Perdurants Object Concept for Collaborative Product Design

Khan, Tarique Hasan; Demoly, Frédéric; Kim, Kyoung-Yun

doi:10.1109/cts.2016.0034

Cited by 9 publications

(6 citation statements)

References 22 publications

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“…As listed in Table 3, sample questions were re-written in a way that considers how praxis and concientização can be accounted for in addition to scholarship for the goal of liberation. It is important to note that throughout the process, some type of member checking needs to take place so that the researchers share their understanding of the results with the participants in an effort to enhance the credibility of findings and trustworthiness [64]. It is important to reflect on each other's understanding of the phenomena being studied, revise the results, take action, and co-create theory together to achieve liberation.…”

Section: Implications/recommendationsmentioning

confidence: 99%

Towards Excellence in Engineering Education

Ouahada¹

2019

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Engineers play different contextual roles in industry and academia, not only by teaching but by mentoring, supervising and training students. Engineers are educators who are expected to provide their students with authentic learning experiences that are relevant to contemporary concerns, and to produce engineers who are responsible, insightful, work independently, have favorable problem-solving skills, and can apply and adapt their knowledge to new and unexpected situations. This book from Education Sciences focuses on important issues in engineering education. In this Special Issue entitled "Towards Excellence in Engineering Education" we invite educators and researchers from engineering universities to discuss and share their experiences. What makes engineering education different to other educational disciplines? What are the challenges faced by engineering education and how should the educational system and curriculum be designed to cope with the high-speed development of technology? This book highlights 11 papers that cover a diverse range of topics of engineering education, mainly focusing on lecturers' personal experiences in engineering education shared through teaching portfolios, assessment styles and teaching methods. E-learning in engineering education is also covered in this book as many lecturers in the engineering field use technology to select, design, deliver, administer, facilitate, and support learning. Examples include computer-based, web-based, and mobile learning. The book covers curriculum in engineering education that offers rigorous analysis of theoretical principles as well as intensive hands-on experience. The engineering curriculum can be divided into three branches, namely engineering science, systems, and design and professional practice. Here, the authors present some of their contributions and the experiences they used to assess engineering students. The academics share the modern teaching methods they use in engineering education, for example, active classrooms, flipped classrooms, problem-based learning and many more that are suitable to the nature of engineering disciplines. This book highlights engineering education for community engagement. EPICS (engineering projects in community service) is an educational program that combines ideas surrounding teaching and learning with the community. Teams of students participate with local and global community organizations to address human, community, and environmental needs.

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Section: Implications/recommendationsmentioning

confidence: 99%

Towards Excellence in Engineering Education

Ouahada¹

2019

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“…Within AML, a decision tree (DT) analysis was used [62][63][64]. DT was used in this study to understand the relational aspects between the factors, sub-factors, and specified categorical variables (i.e., gender, race, faculty rank, institution type).…”

Section: Quan Data Preparationmentioning

confidence: 99%

“…DT was used in this study to understand the relational aspects between the factors, sub-factors, and specified categorical variables (i.e., gender, race, faculty rank, institution type). Decision trees include a feature (attribute), a link to each feature (branch), and a representative decision (rule) that represents an outcome (categorical or continuous value) [62][63][64]. For this study, a classification and regression tree (CART) algorithm was used to divide the factors, sub-factors, and variables to identify decision rules that can denote the relative importance or predominant influence of a variable.…”

Section: Quan Data Preparationmentioning

confidence: 99%

“…Among the statements where the faculty were not at all willing to advocate was HC #3 ("Engineering education is harder, more time-consuming, and expensive because it has a direct impact on safety") and HC #2 ("The ultimate goal of an engineering degree is to get a well-paying job"). To answer the second and third hypothesis (H2 and H3), the predominance of an influence among participant responses were calculated using AML and DT, through relative importance of variable algorithms [62][63][64]. A summary of the predominance of an influence (in the form of percentages) is presented in Table 12.…”

Section: Presence Of Hc Mechanisms Among Engineering Facultymentioning

confidence: 99%

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“There Is Never a Break”: The Hidden Curriculum of Professionalization for Engineering Faculty

et al. 2018

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The purpose of this exploratory special issue study was to understand the hidden curriculum (HC), or the unwritten, unofficial, or unintended lessons, around the professionalization of engineering faculty across institutions of higher education. Additionally, how engineering faculty connected the role of HC awareness, emotions, self-efficacy, and self-advocacy concepts was studied. A mixed-method survey was disseminated to 55 engineering faculties across 54 institutions of higher education in the United States. Quantitative questions, which centered around the influences that gender, race, faculty rank, and institutional type played in participants’ responses was analyzed using a combination of decision tree analysis with chi-square and correlational analysis. Qualitative questions were analyzed by a combination of tone-, open-, and focused-coding. The findings pointed to the primary roles that gender and institutional type (e.g., Tier 1) played in issues of fulfilling the professional expectations of the field. Furthermore, it was found that HC awareness and emotions and HC awareness and self-efficacy had moderate positive correlations, whereas, compared to self-advocacy, it had weak, negative correlations. Together, the findings point to the complex understandings and intersectional lived realities of many engineering faculty and hopes that through its findings can create awareness of the challenges and obstacles present in these professional environments.

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“…Design activity in a collaborative environment is an important part of this pilot project. Many researchers have defined collaborative design [16,17,32] . Yesilbas et al [18] characterized collaborative design as "the coming together of diverse interests and people to achieve a common purpose of developing a product via interactions, information and knowledge sharing, with a certain level of coordination of the variously implemented activities."…”

Section: Related Literaturementioning

confidence: 99%

Development of Learning Modules for Sustainable Life Cycle Product Design: A Constructionist Approach

Khan¹,

Raoufi²,

Park³

et al.

2017 ASEE Annual Conference &Amp; Exposition Proceedings

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Gül E. Kremer received her PhD from the Department of Engineering Management and Systems Engineering of Missouri University of Science & Technology. Her research interests include multi-criteria decision analysis methods applied to improvement of products and systems. She is a senior member of IIE, a fellow of ASME, a former Fulbright scholar and NRC Faculty Fellow. Her recent research focus includes sustainable product design and enhancing creativity in engineering design settings. Constructionism is a learning theory in which learners construct their own understanding and knowledge by making a useful product. A cyberlearning environment for sustainable product design and life cycle engineering has been developed based on this approach through a multiuniversity research project, entitled "Constructionism in Learning: Sustainable Life Cycle Engineering (CooL:SLiCE)." The pedagogic significance of CooL:SLiCE is that it enables better learning within the sustainable engineering domain by utilizing effective learning modules for personalized environmentally responsible product design. The CooL:SLiCE platform provides a web-based portal with three learning modules: 1) Visualization and online computer-aided design (CAD), 2) Sustainable product architecture and supplier selection (S-PASS), and 3) Manufacturing analysis. These modules were first piloted by a team of students from three universities with different engineering backgrounds who were asked to design a sustainable multicopter attachment through the tools developed for a web-based portal. This paper provides a case study of this intercollegiate collaborative pilot project developed from multiple data sources and describes the effectiveness of constructionism to engage students in learning sustainable product design concepts. IntroductionSustainable engineering is a process where energy and resources are used in a way that does not compromise the natural environment or limit the ability of the future generations to meet their own needs [31] . Over the past several decades, sustainability has become an important issue, especially in the field of engineering; however, sustainable engineering education remains under development due to its broad-encompassing and complex nature. Sustainable engineering curricula delivered solely through lectures limits students' learning experiences, and the high expectations of students in traditional labs are compromised by, for example, time constraints and limited resources [24] . These experiences leave students with little opportunity to construct their own knowledge about the topics covered. Current advances in science, specifically in communication and information technologies, are resulting in a renewed interest in creating physical and virtual hands-on learning activities. One such example is the distributed cyberlearning platform created by a multi-institutional team of researchers

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Dynamic Design Intents Capture with Formal Ontology and Perdurants Object Concept for Collaborative Product Design

Cited by 9 publications

References 22 publications

Towards Excellence in Engineering Education

Towards Excellence in Engineering Education

“There Is Never a Break”: The Hidden Curriculum of Professionalization for Engineering Faculty

Development of Learning Modules for Sustainable Life Cycle Product Design: A Constructionist Approach

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