As AI technology continues to transform society, there is a growing need for engineers and technologists to develop interdisciplinary skills to address complex, society-wide problems. However, there is a gap in understanding how to effectively design and deliver inter-disciplinary education programs for AI-related training. This paper addresses this gap by reporting on a successful summer school program that brought together specialists from around the world to engage in deliberations on responsible AI, as part of a Summer School in Responsible AI led by Mila – Quebec Artificial Intelligence Institute. Through deep dive auto-ethnographic reflections from five individuals, who were either organizers or participants, augmented with end-of-program feedback, we provide a rich description of the program’s planning, activities, and impact. Specifically, our study draws from engineering education research, bridging the gap between research and practice to answer three research questions related to the program: (1) How did the program design enable a more effective understanding of interdisciplinary problem-sets? (2) How did participants experience the interdisciplinary work of the program? (3) Did the program affect participants’ impact on interdisciplinary problem-sets after the program? Our findings highlight the benefits of interdisciplinary, holistic, and hands-on approaches to AI education and provide insights for fellow engineering education researchers on how to design effective programs in this field.
Category: Research Topic: Engineering Education
Research Topic: Engineering Education
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Bridging the Gap: Exploring Semiconductors Exposure and Motivation among Multidisciplinary Engineering Students
Several educational initiatives are currently underway to address workforce challenges in the semiconductors industry. Assessing students’ exposure to and motivation for semiconductors-related topics is an essential initial step toward recognizing areas where primary efforts should be concentrated. The primary objective of this study is to assess students’ awareness and motivation concerning semiconductors in the context of a multidisciplinary introduction to electrical engineering course. Through quantitative analysis and the administration of an existing validated survey instrument, we aim to explore students’ exposure to semiconductors-related topics and potential correlations between awareness, motivation, and demographic variables, including gender and class standing. The instrument was administered to a cohort of 255 students enrolled in a multidisciplinary course covering the fundamentals of electrical engineering. Preliminary data indicates that only 9% of the students in this cohort haven taken a class about semiconductors and only 3% have some interest in pursuing a career in the semiconductors field. The results of this analysis hold several significant implications for engineering education and the semiconductor industry. Firstly, the limited exposure to and interest in semiconductors among engineering students suggest the need for curriculum alignment with the demands of the semiconductor industry and interdisciplinary education. By doing so, we empower students from diverse disciplines to contribute to technological advancements, innovation, and problem-solving fostering a more inclusive, diverse, and well-rounded workforce within the semiconductor sector.
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Leveraging AI in education
To stay ahead, it is essential to adapt to the rise of AI by intelligently incorporating it into all levels of the education process
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Excellence, Belonging, and the American Dream: An Auto-ethnography on Being International in Engineering
This research paper uses an auto-ethnographic approach to highlight experiences of women of color who are international in U.S. engineering workforce and classrooms. Three preliminary themes are highlighted in this paper. The first is the theme related to the notion of Excellence, and how the definitions of success for immigrating or international engineers may be tied to maintaining visa status. The second theme centers around the lack of Sense of Belonging expressed by participant-authors. The final theme was around Chasing the American Dream and the resultant sacrifices. We hope this paper not only provides an overview of some of the unique challenges faced by international women of color, but also drives more interest in better understanding this oft-overlooked group in engineering.
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Preparing engineering students to find the best job fit: Starting early with the career development process
In spite of the vast amount of literature that focuses on the need for significantly more science, technology, engineering, and mathematics (STEM) graduates, the importance of a student finding a good career fit, and what makes a student employable, little research exists on undergraduate engineering students’ understanding of the process of how to find, qualify for, and secure a preferred first position after graduation (FPAG). Likewise, it is important for research to consider nuanced distinctions within STEM fields to assist research to practice transitions. Competition in securing jobs upon graduation is expected to continue, including for engineering positions. In fact, even in a market of high demand for STEM graduates, employers need candidates that display the skills, interests, and readiness to be successful employees.
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Using Science to Support and Develop Employees in the Tech Workforce—An Opportunity for Multidisciplinary Pursuits in Engineering Education
The majority of students who choose to major in engineering do so to become a part of the community of practice of professional engineers (Johri & Olds, 2011), meaning that they want to have adequate exposure to what a career as a professional engineer could potentially be as part of their college experience. However, according to Jonassen (2014), engineering graduates are not well trained to contribute to the workplace due to the complexities associated with engineering work. Stevens, Johri, and O’Connor (2014) described engineering work as that which involves complexity, ambiguity, and contradictions. Since developing the skills for innovation involves analysis of complex, ambiguous, ill-defined, real-world problems (Daly, Mosyjowski, & Seifert, 2014; Newell, 2010), students must have an opportunity to, at the very least, be exposed to multidisciplinary teams. This emphasis on the need for exposure to multi-disciplinary problem solving holds true not only for undergraduate engineers in training, but also for graduate students focused on engineering education.
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Board 164: Engineering Interventions in My Science Classroom: What’s My Role?
This work in progress paper draws on data from year one of a multi-year project aimed at integrating engineering into middle-school science classes. The expectation that middle school teachers integrate engineering into their science curriculum may be challenging as engineering related content has not historically been part of teacher preparation. Particularly in rural areas, in service teacher training related to engineering may be absent or difficult to access due to proximity or financial or time costs. Therefore, it is important to develop effective professional development (PD) that works within the actual teaching context and makes few demands on teachers beyond their regular workload. In partnership with teachers and local industry workers in rural and Appalachian areas, the Virginia Tech Partnering with Educators and Engineers in Rural Schools (VT-PEERS) project developed extended classroom engineering activities for students that also served as teacher PD related to teaching engineering in locally relevant ways. As part of this work, a qualitative analysis was conducted to understand how teachers, from their perspectives, envisioned their role during the interventions. Data were collected prior to and after interventions (within an academic year) to further understand if, and if so, how, teacher perspectives of their role changed. Results reveal three initial roles; classroom manager, learner, helper, and unsure. The post intervention data revealed all teachers indicated being a “learner”.
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Work in progress: Coloring Outside the Lines-Exploring the Potential for Integrating Creative Evaluation in Engineering Education
Extant cultures within academic institutions that educate and train the next generations of STEM professionals tend to privilege long-held majority perspectives of knowing, thinking, and doing in science and engineering. To more intentionally recruit and include diverse groups of students into our educational programs, it is imperative that we develop and adopt unique pedagogical and assessment approaches that move beyond didactics, leverage experiential learning, and embrace a variety of student backgrounds and identities. In this paper, we demonstrate how visual methods-based assessments can serve as an impactful alternative to more traditional forms. We start by introducing three examples currently used in STEM curricula, and then by describing how these assessments promote autonomy and creativity as students make meaning of STEM and of themselves as STEM professionals. We conclude the description of each assessment example by identifying key considerations for STEM instructors when attempting to implement such assessments in their own contexts.


