Student and Faculty Perceptions of Capstone Purposes: What Can Engineering Learn From Other Disciplines?

Vale, Julie; Gordon, Karen D.; Kirkscey, Russell; Hill, Jennifer

doi:10.24908/pceea.vi0.14149

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…The early stage in engineering design activities involves conceptualising, identifying, and solving an EDP (Olewnik et al, 2020;Vale et al, 2020;Molecke and Pache, 2019). The closeness of these activities makes them appear to be the same process, albeit distinct.…”

Section: Engineering Design Problems and Sourcesmentioning

confidence: 99%

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Crowdsourcing Engineering Design Problems: Learning From Experiences

2023

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The availability of digital data in the fourth industrial revolution brings different trends with new opportunities and challenges for the engineering design community. As an opportunity, these trends would impact engineering design. However, the challenge is finding applications for these trends in engineering design. Crowdsourcing is one of the trends inspired by digital data. It is outsourcing an individually performed task to be mass-performed. This paper explores the application of crowdsourcing in identifying engineering design problems. Identifying an engineering design problem is an aspect of engineering design considered challenging but necessary for inventions. Secondary data from 63 invention-related cases and an interview with a renowned UK inventor are presented. The data contains scenarios on how the engineering design problems solved to qualify for a UK patent grant or application are identified. Lessons from the case studies are presented and discussed, especially regarding crowdsourcing engineering design problems. These seem to be promising ways of supporting the identification of new engineering design problems with inventive benefits once solved.

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Section: Engineering Design Problems and Sourcesmentioning

confidence: 99%

“…Inventor A responds thus, "I think identifying the is the big thing and then it's a question of skills to be able to solve the problem. (Olewnik et al, 2020;Vale et al, 2020).…”

Section: Interview Questions and Interpretations Of Responses 1 What ...mentioning

confidence: 99%

Crowdsourcing Engineering Design Problems: Learning From Experiences

2023

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“…These activities are performed with the consideration of their societal values, as indicated in Figure 1. They are expected roles of a design engineer, as could be inferred from the statement: "If an engineer's reason for being is to identify societal problems, and then to find (somehow optimized) solutions for those problems, then it stands to reason that compassion could be an important engineering value" (Vale et al, 2020). This statement is based on a research result indicating a low rating for 'compassion' as a factor that affects engineering design decisions.…”

Section: Figure 1 Early-stage Engineering Design Activities and Outcomesmentioning

confidence: 99%

“…One is coming up with an Engineering Design problem (EDP) through conceptualization or identification (Olewnik et al, 2020). The other is coming up with an Engineering Design Solution (EDS) or solving an EDP (Vale et al, 2020). These aspects of practice are recognised as a design engineer's standard roles (NAE, 2004).…”

Section: Introductionmentioning

confidence: 99%

A Study of the Early-Stage Engineering Design Activities in Practice

2023

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The early-stage engineering design activities include conceptualising, identifying, and solving an engineering design problem. These activities are essential and standard roles of a design engineer. However, they seem to lack comprehensive practice within the engineering design community. In this study, semi-structured interviews conducted with 18 participants having engineering design backgrounds are presented. The aim of the interviews is to investigate the awareness and practice of the early stage engineering design activities. The participants interviewed practice in countries including France, the United Kingdom, and the United States. Contrary to standard expectations, the results of the interviews show that the early-stage engineering design activities are not comprehensively practised. The results suggest that design engineers' crucial role in identifying unknown problems lacks practice. Also, the data from the interviews provide empirical evidence on the determinants for the lack of comprehensive practice of early-stage engineering design activities. Recommendations on possible interventions to support the practice are presented to expedite innovations and inventions.

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“…One of the main tasks of a design engineer at early-stage product design and development is to provide an Engineering Design Solution (EDS) to a societal problem using personal knowledge, experience, and background [1,2]. Another main task is identifying or conceptualising a new Engineering Design Problem (EDP) [3,4]. The EDP would deliver societal values once it is solved.…”

Section: Introductionmentioning

confidence: 99%

A Computational Approach to Identifying Engineering Design Problems

Obieke

Milisavljevic-Syed

Silva

et al. 2023

Journal of Mechanical Design

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Identifying new problems and providing solutions are necessary tasks at early-stage product design and development for design engineers. A new problem fosters innovative and inventive solutions. Hence, it is expected that engineering design pedagogy and practice should equally focus on Engineering Design Problem-Exploring (EDPE) – a process of identifying or coming up with a new problem or need at the early stage of design, and Engineering Design Problem-Solving (EDPS) – a process of developing engineering design solutions to a given problem. However, studies suggest that EDPE is scarcely practiced or given attention to in academia and industry, unlike EDPS. The aim of this paper is to investigate the EDPE process for any information relating to its scarce practice in academia and industry. This is to explore how emerging technologies could support the process. Natural models and phenomena that explain the EDPE process are investigated, including the “rational” and “garbage can” models, and associated challenges identified. A computational framework that mimics the natural EDPE process is presented. The framework is based on Markovian model and computational technologies including machine learning. A case study is conducted with a sample size of 43 participants drawn worldwide from the engineering design community in academia and industry. The case study result shows that the first-of-its-kind computational EDPE framework presented in this paper supports both novice and experienced design engineers in EDPE.

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Student and Faculty Perceptions of Capstone Purposes: What Can Engineering Learn From Other Disciplines?

Cited by 3 publications

References 7 publications

Crowdsourcing Engineering Design Problems: Learning From Experiences

Crowdsourcing Engineering Design Problems: Learning From Experiences

A Study of the Early-Stage Engineering Design Activities in Practice

A Computational Approach to Identifying Engineering Design Problems

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