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We all have moments when we are struck by a “gut feeling” or a “sixth sense” about something. It could pertain to a relationship or task at work. That sense can be broadly termed intuition. Intuitive decisionmaking is an essential characteristic of individuals who have attained a certain level of expertise. The development of expertise and intuition are heavily influenced by experience. Engineering intuition is defined as an experience-informed skill subconsciously leveraged in problem solving by engineering practitioners when under pressure from constraints such as lack of time. Practicing engineers use and develop intuition regularly on-the-job, but the use of intuition is often discouraged in undergraduate education. The disconnect between intuition’s use in engineering practice and in education, coupled with our limited knowledge of the relationship between intuition, expertise, and experience, presents an important gap in our existing understanding of engineering problem solving and future workforce preparation. Through this Research in the Formation of Engineers (RFE) grant, we seek to address this gap by examining the application of intuition by engineering practitioners to generate knowledge that promotes professional formation and development of a stronger engineering workforce. 

This research paper reports the in-progress validation of a quantitative instrument designed to assess the perceived impact of participating in a National Science Foundation (NSF)-funded Engineering Research Center (ERC). A multi-institutional consortium composed of ERC education directors, researchers, and evaluators from six NSF-funded ERCs designed easily accessible evaluation instruments and tools that specifically help measure anticipated outcomes for ERC participants for all ERCs. The total effort underway by the consortium includes creating a suite of qualitative and quantitative instruments, an evaluator toolkit, and a user-friendly online platform to host the inventory materials. This paper focuses on the quantitative instrument created to evaluate the experiences of those who engage with a center. It consists of Likert-type questions assessing the impact of the ERC on participants' self-reported: 1) understanding of the ERC, 2) research and communication skills, 3) climate of inclusion, 4) mentorship experiences, and 5) program satisfaction. The instrument also included additional demographic questions and questions to capture STEM-related future plans. The instrument was designed using multiple rounds of design iterations and pilot tests. Separate surveys used by individual ERCs were compiled and categorized to ensure all requirements from the National Science Foundation were met. The web-based survey was administered to six ERCs during the Summer of 2021, Fall of 2021, and Spring of 2022. A total of 549 responses were collected; 535 were used following data cleaning procedures. Sample sizes for each component of the survey varied because some ERCs chose to only use some parts of the new instrument. Exploratory Factor Analyses (EFA) were performed to identify latent factors and items that needed further revision. The following factors emerged from our analyses: 1) ERC general understanding; 2) development of research skills; 3) development of professional skills; 4) experience in the ERC; 5) feelings toward the ERC; 6) Beliefs about the ERC, 7) mentors performance; and 8) mentorship experience. The results provide preliminary evidence that the survey can be used across ERCs. This effort is the first that has been undertaken to develop a shared ERC instrument. The data collected was used to continue in-progress validation. The collaborative nature of this effort can provide ways for ERCs to benchmark impacts of their efforts and share effective practices across ERCs and other similarly structured STEM centers going forward. 

This Innovative Practice Work-in-Progress paper aims to capture a unique attempt to break down silos between two pre-college STEM initiatives. A myriad of programs has emerged to provide pre-college students with engineering or robotics experiences. Such initiatives are typically undertaken independent of one another. Engineering For Us All (e4usa) and For Inspiration and Recognition of Science and Technology (FIRST) are two such programs designed to excite youth about STEM careers, specifically engineering. One provides a classroom experience, while the other is primarily extracurricular, affording informal learning experiences. The parallel missions of these two programs provided the impetus for a new partnership, e4usa+FIRST, to leverage the collective strengths of each program and expand engineering access to underserved schools. A workshop was conducted that brought together a variety of stakeholders to explore numerous approaches of blending the two programs. This paper details the design of the workshop and the five emergent blending models. The results advance an argument for the involvement of all stakeholders to create an ecosystem at the pre-college level to broaden participation in engineering education. The study has the potential to impact future motivation and design of pre-college STEM education and outreach programs. 

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.