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1. Is it Rocket Science or Brain Science? Developing an Approach to Measure Engineering Intuition

   Miskioglu, E.; Martin, K. M.; Carberry, A. R.; Bolton, C.; Aaron, C. (July 2021, 2021 ASEE Annual Conference)

   Engineering judgement has become an increasingly more important skill for engineers as engineering problem solving has grown more complex and reliant on technology. Judging the feasibility of solutions is required to solve 21st century problems, making this an essential 21st century engineering skill. Those tasked with preparing the future engineering workforce should avoid educating students to become rote learners who simply take output at face value without critical analysis. Engineering educators need to instead focus efforts toward developing students with improved engineering judgement, specifically engineering intuition. The project is focused on the following four research questions: 1) What are practicing professional engineers’ perceptions of discipline specific intuition and its use in the workplace? 2) Where does intuition manifest in expert engineer decision-making and problem-solving processes? 3) How does the motivation and identity of practicing professional engineers relate to discipline-specific intuition? 4) What would an instrument designed to validly and reliably measure engineering intuition look like? The idea or notion of engineering intuition is based in literature from nursing (Smith) and management (Simon) and links expert development to intuition (Dreyfus). This literature is used to support the hypothesis that engineering intuition is defined as the ability to: 1) assess whether engineering solutions are reasonable or ridiculous, and 2) predict outcomes and/or options within an engineering scenario. We seek to answer research questions 1-3 using interviews with engineering practitioners at various stages in their careers (early to retired). These interviews will allow us to construct a modified definition of engineering intuition and identify related constructs. These results will be leveraged to subsequently create an instrument to reliably measure intuition. The ultimate goal of this project is to use what is learned via research to create classroom practices that improve students’ ability to develop, recognize, and improve their own engineering intuition. Select References: Dreyfus, Stuart E., and Hubert L. Dreyfus. A five-stage model of the mental activities involved in directed skill acquisition. No. ORC-80-2. California Univ Berkeley Operations Research Center, 1980. Smith, Anita. "Exploring the legitimacy of intuition as a form of nursing knowledge." Nursing Standard (through 2013) 23.40 (2009): 35. Simon, Herbert A. "Making management decisions: The role of intuition and emotion." Academy of Management Perspectives 1.1 (1987): 57-64. 

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2. Update on is it Rocket Science or Brain Science? Developing an Approach to Measure Engineering Intuition

   Miskioglu, Elif; Carberry, Adam; Martin, Kaela; Kavale, Sanjeev; Bolton, Caroline; Aaron, Caitlyn; Roth, Madeline (August 2022, 2022 ASEE Annual Conference & Exposition)

   Engineering problem solving has become more complex and reliant on technology making engineering judgement an increasingly important and essential skill for engineers. Educators need to ensure that students do not become rote learners with little ability to critically analyze the result of solutions. This suggests that greater focus should be placed on developing engineering judgement, specifically engineering intuition, in our students who will be the future engineering workforce. This project is focused on the following four research questions: 1) What are practicing professional engineers’ perceptions of discipline specific intuition and its use in the workplace? 2) Where does intuition manifest in expert engineer decision-making and problem-solving processes? 3) How does the motivation and identity of practicing professional engineers relate to discipline-specific intuition? 4) What would an instrument designed to validly and reliably measure engineering intuition look like? Literature from the fields of nursing (Smith), management (Simon), and expertise development (Dreyfus) suggest intuition plays a role in both decision making and becoming an expert. This literature is used to support our definition of engineering intuition which is defined as the ability to: 1) assess the feasibility of a solution or response, and 2) predict outcomes and/or options within an engineering scenario (Authors). This paper serves as an update on the progress of our work to date. The first three research questions have been addressed through interviews with engineering practitioners at various stages in their careers, from early career to retired. Emergent findings have allowed us to construct a modified definition of engineering intuition, while also identifying related constructs. In Spring 2021, we created and tested an instrument to measure intuition. This instrument was re-deployed in Fall 2021. Preliminary results from the project’s qualitative and quantitative efforts will be presented. Our ultimate aim of this project is to inform the creation of classroom practices that improve students’ ability to develop, recognize, and improve their own engineering intuition. Select References: Authors (2020). Dreyfus, Stuart E., and Hubert L. Dreyfus. A five-stage model of the mental activities involved in directed skill acquisition. No. ORC-80-2. California Univ Berkeley Operations Research Center, 1980. Smith, Anita. "Exploring the legitimacy of intuition as a form of nursing knowledge." Nursing Standard (through 2013) 23.40 (2009): 35. Simon, Herbert A. "Making management decisions: The role of intuition and emotion." Academy of Management Perspectives 1.1 (1987): 57-64. 

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3. Is it Rocket Science or Brain Science? Developing an Approach to Measure Engineering Intuition

   Miskioglu, E.; Martin, K. M.; Carberry, A. R.; Bolton, C.; Aaron, C. (January 2021, ASEE Annual Conference proceedings)

   Engineering judgement has become an increasingly more important skill for engineers as engineering problem solving has grown more complex and reliant on technology. Judging the feasibility of solutions is required to solve 21st century problems, making this an essential 21st century engineering skill. Those tasked with preparing the future engineering workforce should avoid educating students to become rote learners who simply take output at face value without critical analysis. Engineering educators need to instead focus efforts toward developing students with improved engineering judgement, specifically engineering intuition. The project is focused on the following four research questions: 1) What are practicing professional engineers’ perceptions of discipline specific intuition and its use in the workplace? 2) Where does intuition manifest in expert engineer decision-making and problem-solving processes? 3) How does the motivation and identity of practicing professional engineers relate to discipline-specific intuition? 4) What would an instrument designed to validly and reliably measure engineering intuition look like? The idea or notion of engineering intuition is based in literature from nursing (Smith) and management (Simon) and links expert development to intuition (Dreyfus). This literature is used to support the hypothesis that engineering intuition is defined as the ability to: 1) assess whether engineering solutions are reasonable or ridiculous, and 2) predict outcomes and/or options within an engineering scenario. We seek to answer research questions 1-3 using interviews with engineering practitioners at various stages in their careers (early to retired). These interviews will allow ability to develop, recognize, and improve their own engineering intuition. Select References: Dreyfus, Stuart E., and Hubert L. Dreyfus. A five-stage model of the mental activities involved in directed skill acquisition. No. ORC-80-2. California Univ Berkeley Operations Research Center, 1980. Smith, Anita. "Exploring the legitimacy of intuition as a form of nursing knowledge." Nursing Standard (through 2013) 23.40 (2009): 35. Simon, Herbert A. "Making management decisions: The role of intuition and emotion." Academy of Management Perspectives 1.1 (1987): 57-64. 

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4. Developing a Model of Disciplinary Literacy Instruction for K-12 Engineering Education: Comparing the Literacy Practices of Electrical and Mechanical Engineers (Fundamental)

   Green, T.; Wilson-Lopez, A.; Minichiello, A. (July 2019, ASEE Annual Conference proceedings)

   Despite efforts to diversify the engineering workforce, the field remains dominated by White, male engineers. Research shows that underrepresented groups, including women and minorities, are less likely to identify and engage with scientific texts and literacy practices. Often, children of minority groups and/or working-class families do not receive the same kinds of exposure to science, technology, engineering, and mathematics (STEM) knowledge and practices as those from majority groups. Consequently, these children are less likely to engage in school subjects that provide pathways to engineering careers. Therefore, to mitigate the lack of diversity in engineering, new approaches able to broadly support engineering literacy are needed. One promising approach is disciplinary literacy instruction (DLI). DLI is a method for teaching students how advanced practitioners in a given field generate, interpret, and evaluate discipline-specific texts. DLI helps teachers provide access to to high quality, discipline-specific content to all students, regardless of race, ethnicity, gender, or socio-economic status, Therefore, DLI has potential to reduce literacy-based barriers that discourage underrepresented students from pursuing engineering careers. While models of DLI have been developed and implemented in history, science, and mathematics, little is known about DLI in engineering. The purpose of this research is to identify the authentic texts, practices, and evaluative frameworks employed by professional engineers to inform a model of DLI in engineering. While critiques of this approach may suggest that a DLI model will reflect the literacy practices of majority engineering groups, (i.e., White male engineers), we argue that a DLI model can directly empower diverse K-16 students to become engineers by instructing them in the normed knowledge and practices of engineering. This paper presents a comparative case study conducted to investigate the literacy practices of electrical and mechanical engineers. We scaffolded our research using situated learning theory and rhetorical genre studies and considered the engineering profession as a community of practice. We generated multiple types of data with four participants (i.e., two electrical and two mechanical engineers). Specifically, we generated qualitative data, including written field notes of engineer observations, interview transcripts, think-aloud protocols, and engineer logs of literacy practices. We used constant comparative analysis (CCA) coding techniques to examine how electrical and mechanical engineers read, wrote, and evaluated texts to identify the frameworks that guide their literacy practices. We then conducted within-group and cross-group constant comparative analyses (CCA) to compare and contrast the literacy practices specific to each sub-discipline Findings suggest that there are two types of engineering literacy practices: those that resonate across both mechanical and electrical engineering disciplines and those that are specific to each discipline. For example, both electrical and mechanical engineers used test procedures to review and assess steps taken to evaluate electrical or mechanical system performance. In contrast, engineers from the two sub-disciplines used different forms of representation when depicting components and arrangements of engineering systems. While practices that are common across sub-disciplines will inform a model of DLI in engineering for K-12 settings, discipline-specific practices can be used to develop and/or improve undergraduate engineering curricula. 

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5. Conceptualizing a Theory of Ethical Behavior in Engineering

   Nguyen, L. M.; Poleacovschi, C.; Faust, K. M.; Padgett Walsh, K.; Feinstein, S. G.; Rutherford, C. (January 2020, 2020 ASEE Virtual Annual Conference Content Access)

   Traditional engineering courses typically approach teaching and problem solving by focusing on the physical dimensions of those problems without consideration of dynamic social and ethical dimensions. As such, projects can fail to consider community questions and concerns, broader impacts upon society, or otherwise result in inequitable outcomes. And, despite the fact that students in engineering receive training on the Professional Code of Ethics for Engineers, to which they are expected to adhere in practice, many students are unable to recognize and analyze real-life ethical challenges as they arise. Indeed, research has found that students are typically less engaged with ethics—defined as the awareness and judgment of microethics and macroethics, sensitivity to diversity, and interest in promoting organizational ethical culture—at the end of their engineering studies than they were at the beginning. As such, many studies have focused on developing and improving the curriculum surrounding ethics through, for instance, exposing students to ethics case studies. However, such ethics courses often present a narrow and simplified view of ethics that students may struggle to integrate with their broader experience as engineers. Thus, there is a critical need to unpack the complexity of ethical behavior amongst engineering students in order to determine how to better foster ethical judgment and behavior. Promoting ethical behavior among engineering students and developing a culture of ethical behavior within institutions have become goals of many engineering programs. Towards this goal, we present an overview of the current scholarship of engineering ethics and propose a theoretical framework of ethical behavior using a review of articles related to engineering ethics from 1990-2020. These articles were selected based upon their diversity of scope and methods until saturation was reached. A thematic analysis of articles was then performed using Nvivo. The review engages in theories across disciplines including philosophy, education and psychology. Preliminary results identify two major kinds of drivers of ethical behavior, namely individual level ethical behavior drivers (awareness of microethics, awareness of macroethics, implicit understanding, and explicit understanding) and institutional drivers (diversity and institutional ethical culture). In this paper, we present an overview and discussion of two drivers of ethical behavior at the individual level, namely awareness of microethics and awareness of macroethics, based on a review of 50 articles. Our results indicate that an awareness of both microethics and macroethics is essential in promoting ethical behavior amongst students. The review also points to a need to focus on increasing students’ awareness of macroethics. This research thus addresses the need, driven by existing scholarship, to identify a conceptual framework for explaining how ethical judgment and behavior in engineering can be further promoted. 

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