scholarly journals The Effects of Service-Based Learning on Metacognitive Strategies During an Engineering Design Task

2011 ◽  
Vol 6 (2) ◽  
pp. 1-18 ◽  
Author(s):  
Gay Lemons ◽  
Adam Carberry ◽  
Christopher Swan ◽  
Linda Jarvin
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Large Body ◽  
Building Design ◽  
Learning Activities ◽  
Self Report ◽  
Design Task ◽  
Service Activities ◽  
The Impact

Service-based learning has become an emerging pedagogical tool for engineering education. Although there is a large body of literature reporting the benefits of service activities, most studies have relied on self-report measures and generalized learning contributions. Our evaluation went beyond self-perceptions by investigating the impact that service-based learning programs had on specific cognitive elements of engineering design. The primary goal of this project was to investigate what effects, if any, service activities had on the engineering design process. Verbal protocols were collected from ten engineering students during an open-ended, model-building design task. The five service students and five non-service students also completed post-task interviews and reflection papers. The students in our sample who had participated in service-based learning activities voiced more metacognitive phrases, demonstrated more accurate task analysis and clearer strategic planning skills, were more skilled at discriminating useful from superfluous information, and had a better understanding of clients’ needs and constraints. From our sample, it appears that participation in service-based learning activities enhances the design process of engineering students.

Can Design Teams Be Empathically Creative? A Simulation-Based Investigation on the Role of Team Empathy on Concept Generation and Selection

2020 ◽  
Author(s):  
Mohammad Alsager Alzayed ◽  
Scarlett R. Miller ◽  
Jessica Menold ◽  
Jacquelyn Huff ◽  
Christopher McComb
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Computational Simulation ◽  
Idea Generation ◽  
First Year ◽  
Concept Generation ◽  
Team Members ◽  
Design Activities ◽  
The Impact

Abstract Research on empathy has been surging in popularity in the engineering design community since empathy is known to help designers develop a deeper understanding of the users’ needs. Because of this, the design community has been invested in devising and assessing empathic design activities. However, research on empathy has been primarily limited to individuals, meaning we do not know how it impacts team performance, particularly in the concept generation and selection stages of the design process. Specifically, it is unknown how the empathic composition of teams, average (elevation) and standard deviation (diversity) of team members’ empathy, would impact design outcomes in the concept generation and selection stages of the design process. Therefore, the goal of the current study was to investigate the impact of team trait empathy on concept generation and selection in an engineering design student project. This was accomplished through a computational simulation of 13,482 teams of noninteracting brainstorming individuals generated by a statistical bootstrapping technique drawing upon a design repository of 806 ideas generated by first-year engineering students. The main findings from the study indicate that the elevation in team empathy positively impacted simulated teams’ unique idea generation and selection while the diversity in team empathy positively impacted teams’ generation of useful ideas. The results from this study can be used to guide team formation in engineering design.

Questioning the Impact of Personality on Design Outcomes: Should We Take It Into Account?

2012 ◽  
Author(s):  
Gül E. Okudan ◽  
Linda C. Schmidt ◽  
Noe Vargas Hernandez ◽  
Kathryn Jablokow ◽  
Chun-yu Lin
Keyword(s):  
Problem Solving ◽  
Engineering Design ◽  
Engineering Students ◽  
Personality Factors ◽  
Creative Problem Solving ◽  
Traffic Light ◽  
Personality Dimensions ◽  
Design Task ◽  
Creative Problem ◽  
The Impact

To investigate the impact of personality factors on the novelty and variety of design outcomes, we conducted an experiment with 33 engineering students of various class standings. All students were enrolled in an introductory engineering design class and completed the same design task, improving the functionality of a traffic light while making sure that it runs sustainably. Our results indicate significant impact of two personality dimensions on design outcomes: openness and agreeableness. These results match findings in the literature that show significant impact of certain personality dimensions of individual scientists on creative problem solving outcomes. We argue that creative problem solving in the engineering domain can be different, as it might require a higher level of tactile thinking in comparison to science; thus, investigation of the impact of personality on creative outcomes was necessary. Accordingly, we recommend measuring and using the personality dimensions as co-variates in empirical observations of design outcomes.

How Engineering Design Students’ Creative Preferences and Cognitive Styles Impact Their Concept Generation and Screening

2018 ◽  
Author(s):  
Katie Heininger ◽  
Hong-En Chen ◽  
Kathryn Jablokow ◽  
Scarlett R. Miller
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Idea Generation ◽  
Risk Tolerance ◽  
Concept Generation ◽  
Undergraduate Engineering ◽  
Engineering Design Process ◽  
Individual Traits ◽  
The Impact

The flow of creative ideas throughout the engineering design process is essential for innovation. However, few studies have examined how individual traits affect problem-solving behaviors in an engineering design setting. Understanding these behaviors will enable us to guide individuals during the idea generation and concept screening phases of the engineering design process and help support the flow of creative ideas through this process. As a first step towards understanding these behaviors, we conducted an exploratory study with 19 undergraduate engineering students to examine the impact of individual traits, using the Preferences for Creativity Scale (PCS) and Kirton’s Adaption-Innovation inventory (KAI), on the creativity of the ideas generated and selected for an engineering design task. The ideas were rated for their creativity, quality, and originality using Amabile’s consensual assessment technique. Our results show that the PCS was able to predict students’ propensity for creative concept screening, accounting for 74% of the variation in the model. Specifically, team centrality and influence and risk tolerance significantly contributed to the model. However, PCS was unable to predict idea generation abilities. On the other hand, cognitive style, as measured by KAI, predicted the generation of creative and original ideas, as well as one’s propensity for quality concept screening, although the effect sizes were small. Our results provide insights into individual factors impacting undergraduate engineering students’ idea generation and selection.

Development of a DSM-Based Methodology in an Academic Setting

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
George Platanitis ◽  
Remon Pop-Iliev ◽  
Ahmad Barari
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Design Structure ◽  
Academic Settings ◽  
Task Durations ◽  
Random Disturbances ◽  
Process Convergence ◽  
Work Transformation

This paper proposes the use of a design structure matrix/work transformation matrix (DSM/WTM)-based methodology in academic settings to serve engineering educators as a facilitating tool for predetermining the difficulty and feasibility of design engineering projects they assign, given both the time constraints of the academic term and the expected skill level of the respective learners. By using a third-year engineering design project as a case study, engineering students actively participated in this comprehensive use of DSM methodologies. The engineering design process has been thoroughly analyzed to determine convergence characteristics based on the eigenvalues of the system followed by a sensitivity analysis on the originally determined DSM based on data provided by students in terms of task durations and number of iterations for each task. Finally, an investigation of the design process convergence due to unexpected events or random disturbances has been conducted. The obtained predictive model of the design process was compared to the actual dynamics of the project as experienced by the students and the effect of random disturbances at any point in the design process has thereby been evaluated.

scholarly journals EXAMINING THE AGREEMENT BETWEEN STUDENT AND INSTRUCTOR TASK PERCEPTIONS IN A COMPLEX ENGINEERING DESIGN TASK

2011 ◽  
Author(s):  
A F Hadwin ◽  
M Oshige ◽  
M Miller ◽  
P M Wild
Keyword(s):  
Academic Achievement ◽  
Academic Success ◽  
Engineering Design ◽  
Engineering Students ◽  
Design Task ◽  
Cultural Aspects ◽  
Complex Engineering ◽  
Highly Correlated ◽  
Over Time ◽  
Task Understanding

Understanding assigned tasks is an important skill for academic success. However, few studies have explored the accuracy of task understanding as it develops over the duration of a complex assignment. This study examined explicit, implicit, and socio-cultural aspects of task understanding in the context of an design project assigned to a third year class of Mechanical Engineering students. Specifically, this study examined: (1) the agreement between student and instructors task perceptions for the same complex engineering design task, and (2) changes in both instructor's and students' task perceptions from the beginning to the end of the task. Findings indicate that: (1) students' and instructor task-perceptions generally became more attuned over time, (2) instructor task-understanding evolved over time, and (3) socio-contextual aspects of task-understanding were highly correlated with task and course academic achievement.

The Assessment of Product Archaeology as a Platform for Contextualizing Engineering Design

2013 ◽  
Author(s):  
Kemper Lewis ◽  
Deborah Moore-Russo ◽  
Phil Cormier ◽  
Andrew Olewnik ◽  
Gül Kremer ◽  
...  
Keyword(s):  
Engineering Design ◽  
Engineering Students ◽  
National Network ◽  
Societal Context ◽  
Novel Approaches ◽  
Knowledge And Practice ◽  
Pedagogical Innovations ◽  
Global World ◽  
The Impact

Many engineering departments struggle to meet “the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context” (Outcome h) that is required for ABET. As a result, engineering students receive meaningful contextual experiences in piecemeal fashion and graduate with a lack of concrete competencies that bridge knowledge and practice in the global world in which they will live and work. By considering products as designed artifacts with a history rooted in their development, our product archaeology framework combines concepts from archaeology with advances in cyber-enhanced product dissection to implement pedagogical innovations that address the significant educational gap. In this paper, we focus on assessing elements of a sustainable and scalable foundation that can support novel approaches aimed at educating engineering students to understand the global, economic, environmental, and societal context and impact of engineering solutions. This foundation is being developed across a network of partner institutions. We present recent results from freshman, sophomore, and senior courses at two of the partners in the national network of institutions.

The Impact of Team-Based Product Dissection on Design Novelty

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Christine A. Toh ◽  
Scarlett R. Miller ◽  
Gül E. Okudan Kremer
Keyword(s):  
Engineering Design ◽  
Design Education ◽  
Engineering Students ◽  
Design Method ◽  
Idea Generation ◽  
Team Members ◽  
Design Concepts ◽  
Engineering Design Education ◽  
Current Design ◽  
The Impact

Although design novelty is a critical area of research in engineering design, most research in this space has focused on understanding and developing formal idea generation methods instead of focusing on the impact of current design practices. This is problematic because formal techniques are often not adopted in industry due to the burdensome steps often included in these methods, which limit the practicality and adoption of these methods. This study seeks to understand the impact of product dissection, a design method widely utilized in academia and industry, on design novelty in order to produce recommendations for the use or alterations of this method for supporting novelty in design. To investigate the impact of dissection, a study was conducted with 76 engineering students who completed a team-based dissection of an electric toothbrush and then individually generated ideas. The relationships between involvement in the dissection activity, the product dissected, the novelty and quantity of the ideas developed were investigated. The results reveal that team members who were more involved in the dissection activity generated concepts that were more novel than those who did not. In addition, the type of the dissected product also had an influence on design novelty. Finally, a positive correlation between the number of ideas generated and the novelty of the design concepts was identified. The results from this study are used to provide recommendations for leveraging product dissection for enhancing novelty in engineering design education and practice.

Customizing Products Using Functional Component Matrices

2008 ◽  
Author(s):  
Ali Kamyab ◽  
Kemper E. Lewis
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Change Propagation ◽  
Modern Design ◽  
Functional Component ◽  
Engineering Design Process ◽  
Function Change ◽  
Product Customization ◽  
The Impact ◽  
Component Matrix

Modern design methodologies have used Function Component Matrices in a variety of different ways in order to support various facets of an engineering design process. The mapping of functions to components can be used to model and capture the dependencies and relationships that exist. This process is accomplished by breaking down complicated functions into smaller, easier to understand functions. This decomposition allows engineers to get a better understanding for how a change in each component within a product will affect the overall operation of the product. Being able to recognize the impact of the propagation of a sub-function change will give designers a better understanding of the flexibility (or lack thereof) of choices they have when designing a product for customization. In turn they can be used to inform the consumer regarding the consequences their customization choices can have on the final product. This paper discusses how a Functional Component Matrix (FCM) can be used to assist in this process of product customization and understanding change propagation.

scholarly journals TEAM FORMATION IN ENGINEERING DESIGN COURSES

2019 ◽  
Author(s):  
Mohamed Galaleldin ◽  
Justine Boudreau ◽  
Hanan Anis
Keyword(s):  
Student Satisfaction ◽  
Engineering Design ◽  
Engineering Students ◽  
Project Based Learning ◽  
Team Composition ◽  
Structured Interviews ◽  
Great Opportunity ◽  
Project Outcome ◽  
The Right ◽  
The Impact

Engineering design courses often include a team-based project. Project-based learning offers a great opportunity for engineering students to learn about teamwork and collaboration. It also gives students a chance to learn about themselves and improve their conflict management skills. Choosing the right team members for a specific project is not trivial, as the choice of the team often affects the project outcome and the students’ experience in the course. Moreover, there is a debate among engineering educators as to whether it is better to force team composition or not. In this paper, we investigate the impact of team composition and formation on project outcomes and student satisfaction in a second-year engineering design course at the University of Ottawa. The course is open to all engineering students and has an accessibility theme. Students work in teams with a client that has a specific accessibility need. Students meet the client three times during the semester and deliver a physical prototype by the end of the semester. For this study, students in the design course were divided into two groups. Students in the first group were allowed to pick their teams, while the instructor created the teams in the second group based on multidisciplinary composition and year of study. Both groups had the same instructor and the same course material, labs, project choices, etc. Semi-structured interviews were conducted with a few teams in each group.

scholarly journals The importance of site on house heating energy modelling in Wellington - Integrating EnergyPlus with ENVI-met for site modelling

2021 ◽  
Author(s):  
◽  
Wendy Sunarya
Keyword(s):  
Design Process ◽  
Urban Areas ◽  
Fluid Dynamic ◽  
Ground Surface ◽  
Building Design ◽  
Building Energy ◽  
Design Strategies ◽  
Site Location ◽  
Energy Modelling ◽  
The Impact

<p>Site is an important factor in the building design process, where it is analysed to determine design strategies for responding the microclimate. It is also considered important in Building Energy Simulations (BES) where a weather file is used to represent the site location and its microclimate. However, many cases of BES in the design process use weather file from a nearby weather station rather than site specific microclimate. In fact, site microclimate can be affected by nearby parameters such as ground surface and vegetation, with unknown effects. In the Wellington, New Zealand context, micro-climates vary widely due to the local topography while suburban houses can be located on the side or bottom of a hill. These houses are likely to have different exposure to the sun and wind which can influence energy consumption for space heating.  Many studies about site-parameters impacts mainly focus on the vegetation and nearby buildings effect on microclimate. Only a few estimated the impact of site-parameters on building energy use and mostly their cases are in urban areas (flat terrain). Unfortunately, site parameters, such as altitude and slope, associated with the Wellington topography (hilly terrain) have never been examined. This thesis investigates the importance of site parameters on house heating energy modelling for the Wellington context. BES software, EnergyPlus, was used and explored to identify limitations in modelling site parameters. An attempt was made to solve these limitations through the integration with microclimate software. Three microclimate software programmes were reviewed: ENVI-met, UWG (Urban Weather Generator) and CFD (Computational Fluid Dynamic) software.  ENVI-met was selected to generate the local air temperature and relative humidity affected by site parameters, which was used for EnergyPlus weather-file modification. A parametric study of ENVI-met basic input with model evaluation was also conducted. The results of parametric test integrating ENVI-met with EnergyPlus showed that ENVI-met mostly produce insignificant impacts of site parameters on house heating energy, unlike the results found in the literature review. This is likely due to the cool weather conditions (winter in Wellington) used in simulation, which suggests that the idea of microclimate modelling using ENVI-met is not applicable for house heating energy modelling in the temperate, Wellington context.</p>

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