Three broad issues have been identified in the professional formation of engineers: 1) the gap between what students learn in universities and what they practice upon graduation; 2) the limiting perception that engineering is solely technical, math, and theory oriented; and 3) the lack of diversity (representation of a wide range of people) and lack of inclusion (incorporation of different perspectives, values, and ways of thinking and being in engineering) in many engineering programs. These are not new challenges in engineering education, rather they are persistent and difficult to change. There have been countless calls to recruit and retain women and underrepresented minority group members into engineering careers and numerous strategies proposed to improve diversity, inclusion, and retention, as well as to calls to examine socio-technical integration in engineering cultures and education for professional formation.
Despite the changes in some disciplinary profiles in engineering and the curricular reforms within engineering education, there still has not been the deep transformation needed to integrate inclusionary processes and thinking into professional formation. In part, the reason is that diversity and inclusion are still framed as simply “numbers problems” to be solved. What is needed instead is an approach that understands and explores diversity and inclusion as interrelated with the epistemological (what do engineers need to know) and ontological (what does it mean to be an engineer) underpinnings of engineering. These issues are highly complex, interconnected, and not amenable to simple solutions, that is, they are “wicked” problems. They require design thinking. Thus our NSF-funded Research in the Formation of Engineers (RFE) study utilizes a design thinking approach and research activities to explore foundational understandings of formation and diversity and inclusion in engineering while addressing the three project objectives: 1) Better prepare engineers for today’s workforce; 2) Broaden understandings of engineering practice as both social and technical; and 3) Create and sustain more diverse and inclusionary engineering programs.
The project is organized around the three phases of the design process (inspiration, ideation, and implementation), and embedded within the design process is a longitudinal, multiphase, mixed-methods study. Although the goal is to eventually study these objectives on a broader scale, we begin with a smaller context: the School of Electrical and Computer Engineering (ECE) and the Weldon School of Biomedical Engineering (BME) at Purdue University. These schools share similarities with some common coursework and faculty, but also provide contrasts as BME’s undergraduate population, on average for recent semesters, has been 44-46% female, where ECE has been 13-14% female. Although BME has slightly more underrepresented minority students (7-8% versus 5%), approximately 60% of BME students are white, versus 40% for ECE. It is important to note that Purdue’s School of ECE offers B.S. degrees in Electrical Engineering (EE) and Computer Engineering (CmpE), which reflect unique disciplinary cultures. Additionally, the schools differ significantly on undergraduate enrollment. The BME enrollment was 278, whereas ECE’s enrollment was 675 in EE and 541 in CmpE1.
In this paper we describe the background literature and the research design, including the study contexts, target subject populations, and procedures for quantitative and qualitative data collection and analysis. In addition, we present the data collected during the first phase of the research project. In our poster, we will present preliminary analysis of the first phase data.
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Design thinking and computational thinking: a dual process model for addressing design problems
Abstract This paper proposes a relationship between design thinking and computational thinking. It describes design thinking and computational thinking as two prominent ways of understanding how people address design problems. It suggests that, currently, each of design thinking and computational thinking is defined and theorized in isolation from the other. A two-dimensional ontological space of the ways that people think in addressing problems is proposed, based on the orientation of the thinker towards problem and solution generality/specificity. Placement of design thinking and computational thinking within this space and discussion of their relationship leads to the suggestion of a dual process model for addressing design problems. It suggests that, in this model, design thinking and computational thinking are processes that are ontological mirror images of each other, and are the two processes by which thinkers address problems. Thinkers can move fluently between the two. The paper makes a contribution towards the theoretical foundations of design thinking and proposes questions about how design thinking and computational thinking might be both investigated and taught as constituent parts of a dual process.
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- Award ID(s):
- 1762415
- NSF-PAR ID:
- 10253719
- Date Published:
- Journal Name:
- Design Science
- Volume:
- 7
- ISSN:
- 2053-4701
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1017/dsj.2021.7
