, ultimately fostering a culture of professionalism and ethical responsibility in engineering. By providing empirical evidence of disciplinary incidents and their causes, this study contributes to evidence- based practices for engineering education and professional development, enhancing the engineering education community’s understanding of professionalism and ethics.1 IntroductionThe engineering profession is built on a foundation of trust, integrity, and ethical conduct.However, like any profession, engineering is not immune to instances of misconduct, negli-gence, and unethical behavior. The Ordre des ingénieurs du Québec (OIQ)’s disciplinaryregister provides a unique window into the types of complaints filed against engineers
commuters. The University has a high percentage of low-income (33%) and first-generation (37%) students. Among degree-seeking students, there is a high number of non-traditional students (30%), students with spouses (37%) and students with children under age 12(19%). While tuition is low, part-time attendance is high at 36% of students. These factors affectthe overall graduation rate, which is low at 35% (nationally standardized IPEDS rate forcompletions in 150% time) and the overall 1-year retention rate of 68% for baccalaureate-degreeseeking students. Institutionally, Utah Valley University receives by far the greatest amount ofPell grants awarded to students at any public institution of higher education in its state (NCES2020/21).The Mechanical
Engineering at The University of Delaware. He gained his Ph.D. in Mechanical Engineering from The Pennsylvania State University in 2015, where he worked on experimental combustion research applied to gas turbine engines, and his M.Eng. in Mechanical Engineering from Imperial College London in 2010. Alex’s research focuses on the transfer of learning between various courses and contexts and the professional formation of engineers. ©American Society for Engineering Education, 2025 Reinforcement of First-Year Technical Communications Skills in Middle Years Courses Jenni M. Buckley PhD1-3, Amy Trauth PhD1,4, David Burris PhD1, Alex DeRosa PhD1 1 University
Dourado1 , Christian Zuniga-Navarrete2 , Alvin Tran3 , Luis Javier Segura2 , Xiaomei Wang2 , and Campbell Bego4 1 Mechanical Engineering, University of Louisville 2 Industrial Engineering, University of Louisville 3 Computer Science and Engineering, University of Louisville 4 Engineering Fundamentals, University of LouisvilleAbstractThis work-in-progress focuses on the completed Phase 1 of a funded NSF-IUSE project employ-ing explainable machine learning (ML) models to predict engineering attrition while identifyingmalleable factors for individualized targeted
opportunities to integrate geometry and data science with environmental and historical research in the Pacific Northwest region. ©American Society for Engineering Education, 2025 The Engineering in Context Learning Community at Whatcom Community College (NSF IUSE ITYC Program)IntroductionCommunity colleges play an important role in providing access to engineering careers,particularly for students from historically marginalized backgrounds. However, many incomingstudents place below calculus-level mathematics [1] [2], creating a challenging pathway throughmultiple prerequisite courses before they can begin core engineering coursework. The extendedsequence of abstract mathematical concepts, often taught
between these three charts and how to create themto work hand in hand to describe the complete system. Such information, when presented tostudent teams, not only helps them describe their system fully but also helps them understandseveral requirements and constraints of the system easily and objectively, irrespective of theproblem at hand. The paper presents preliminary observations and comparisons on the quality ofsystem description from various design teams to assess the method. It has been observed thatsuch a system description encourages design divergence, which helps design choices be morefitting. This is a work in progress.1. Introduction and Literature Literature on System engineering diagrams in many forms is vast [1]-[6]. Though
correspondingfalse statement (false variant) and assigned to the different test versions. This approach raised threeconcerns: 1) that the student performance on the different versions of a test would differ; 2) that true-falsestatements that were written as a true statement and corresponding false statement would provide somehint to students; and 3) that student performance on the true variant and false variant questions woulddiffer. The test responses from 53 students were analyzed. For each of the four tests, the performance onthe true-false questions on the four versions was found to be comparable. In addition, the performance onthe true variant questions and true only questions was found comparable as was the performance on thefalse variant and false
University, Mankato. In this role, Katie provides coaching and professional mentorship to upper-division students, focusing on guiding them through design projects and other work-based engineering challenges. Katie’s research is in reviews, social network analysis, and relevant applications in engineering education. ©American Society for Engineering Education, 2025 Methods/Theory Research Brief: A Scoping Review of Social Network Analysis in Engineering EducationInterpersonal relationships are a key aspect of success for engineers [1]-[3]. As elaborated bytheories such as the Network Theory of Social Capital [4], [5], an individual’s access to certainresources can be indirectly
foil but has no effect on the block. Therefore, it can be valuable to takean active learning approach to teaching these key concepts, so that students can formulate anintuitive understanding of stress and strain that can carry forward as they encounter moreadvanced engineering concepts.Here, we present a discovery-based approach to introduce students to these concepts through theuse of crude tensile tests. The students are provided with elastomeric strips which are easy todeform using human strength and have the added advantage of being highly reusable due to theirelasticity.The classroom approach is as follows: 1) Introduce the concept of a tensile test as a way that engineers can probe the behavior of materials when they are subjected
undergraduate understanding andincorporation of ethical and psychological competencies that promote a balanced view ofconsumer persuasion, engagement, outcomes, and wellness. Our proposed curriculum andassessment model integrates practical guidelines for ethical product development with theultimate goal of giving capstone students a framework for understanding product design as afoundation for consumer choice architecture.This study introduces students to eight ethical and psychological constructs: privacy, informedconsent, unintended outcomes and safeguards, participatory design, choice architecture, usermotivation and engagement, measurement of user outcomes, and AI/ML. In the study, weextend previous work by the authors and aim to 1) develop and
Reality (XR) technologies, from virtual reality(VR) to augmented reality (AR) and mixed reality (MR) [1]–[3]. These immersive technologiesenhance manufacturing training campaigns, exposing trainees to basic manufacturing principles,particularly in design and assembly protocols, by simulating real-world problem scenarios [4], 1 2025 ASEE Annual Conference[5]. The XR-based training in manufacturing assembly offers an effective approach, equippingthe workforce with problem-solving skills in a safe, monitored XR environment [6].XR technologies have demonstrated their potential to deliver practical assembly training
process, we explored how torepackage the environmental engineering curriculum, and we assessed impacts on other coursesin the civil engineering major program curriculum and the environmental engineering minorprogram curriculum to determine the feasibility of each option. While evaluating existing coursecontent, we compared current coverage with the American Academy of Environmental Engineersand Scientists (AAEES) Environmental Engineering (EnvE) Body of Knowledge (BOK) [1] andthe American Society of Civil Engineers (ASCE) BOK [2]. Through this process, we developeda curricular pathway to introduce students to discipline-specific environmental engineeringcontent early in the academic career that encompasses both the EnvE BOK for the
findings aim to inform curricular improvements and contribute to broader discussions onhow to effectively teach design thinking at the secondary and postsecondary levels.IntroductionEngineering design has long been a central component of ABET-accredited engineeringprograms, with many programs emphasizing the design process early in the undergraduateexperience. First-year design courses are widely implemented, focusing on realistic projects,teamwork, and the integration of technical skills [1], [2], [3]. A spiral curriculum approachreinforces and builds upon design knowledge throughout the four-year program [4]. Thesecurricula aim to develop attributes desired by industry employers and enhance students’ designcompetencies. Engineering design
study.IntroductionIn 2020 the University of Washington Tacoma (UWT) started a new mechanical engineering program tosupport high regional demand for additional engineering students. The program was designed withprogressive thinking about high impact practices to support student experiences. In particular, theprogram faculty pushed hard to create meaningful undergraduate research experiences for students in theprogram.Many prior studies have demonstrated the power of course-based undergraduate research experiences(CUREs) as a way to support students in retention [1–3]. CUREs are considered a high impact practice, asthey create a direct mentoring relationship between a student and a faculty member. One challenge ofundergraduate research is the time required to
state of Integrated Engineering is examined using established frameworks[1], [2], [3]. The review findings indicate that Integrated Engineering research, models, andcompetencies are rather broad, not well-focused, and connected to higher education andEngineering Education literature. We propose areas for future research and further suggest usinga heatmap conceptualization/framework to measure the interest of the model and competenciesin Integrated Engineering.Keywords: Integrated Engineering, Engineering Education, Review1. IntroductionThis theory/methods paper seeks to expand and enhance understanding of Integrated Engineeringmodels and competencies and offer areas for future work. We review the literature, and followingan interpretive and
support for their first semester and math, chemistry, and statics/physics support for thesecond. Second year students still completing this coursework can also take part.While our initial sample size is small with two cohorts of 77 students, we are excited to reportpromising initial results. In the 2023 cohort, one-third of the students progressed into their majorin their first year, three more progressed into their major at the end of the Fall 2024 semester, and5 students received progression extensions. In the 2024 cohort, all students maintained orincreased their math placement. Forty-three percent placed into Calculus 1 and 10 students wereable to start General Chemistry.IntroductionStudents entering an engineering program underprepared for
paper focuses on validatingthe survey as presented in Dirisina & Shehab [1].The development of the survey instrument was grounded in social cognitive theory and self-concept research, with a specific focus on the domain specificity self-concept. It was hypothesizedthat a well-constructed survey would capture the multifaceted nature of engineering self-concept,and underlying sub-constructs that aid in predicting an individual’s self-concept. The methodologyinvolved a two-stage process. First, survey pre-testing was conducted with subject matter expertsto ensure content validity and clarity of items. This iterative process allowed for refinement of thesurvey questions and structure [1] Second, as described in this paper, the survey was
between 2010 and the mid-2020s, technology is not merely a tool but an intrinsic part of their environment. They are true“digital natives.” Unlike their Millennial or Generation Z parents and teachers who adapted totechnology as it emerged, Gen Alpha seamlessly incorporates digital tools into their everydayroutines. This generational shift has created a pressing challenge: how to support children inengaging responsibly and creatively with technology while ensuring their developmental needsare met [1]. Efforts to address this challenge have evolved from simply restricting technologyaccess to actively guiding and managing children’s interactions with digital tools. However,the rapid pace of technological adoption by Gen Alpha has outpaced the
and neighboring reservations. understandings in relation to community needs. yinish yé Dinésh chįįn “I am robot”ContactKARMA - wiikarma.technology/contactDr. Robert Hayes - robert.hayes@tufts.eduExample CAD Lesson: Make Your Own JewelryLesson Overview★ Objective: Learning TinkerCAD and 3D printing basics through traditional Navajo craft★ Grade level: 3rd-8th grade★ Time to complete: < 1 hour for design, plus ~5-30 minutes per printed pieceExample Robotics Lesson: Count to 10 in Navajo Lesson Overview ★ Objective: Learning robotics and
studentadoption of genAI for technical writing. Our study results showed that BME students adjustedtheir usage of GAI for technical writing after receiving a lecture on genAI prompting techniquesfor writing, editing, and assessing its efficacy. The students changed their usage of genAI indifferent ways and fell into two categories: 1) those who adopted it willingly and used it morefrequently, and 2) those who decided to abstain from using it at all. The latter group of studentsreported strong feelings for self-efficacy and to be independently proficient at technical writing.By examining the ways in which students adopt genAI for technical writing and the underlyingintentions, we hope to identify areas in curricula that may require greater emphasis. This
organizations have been cultivated and built-upon; website andproject management improvements have been initiated; new resources are standards-aligned;new collection organizations have been established; and NSF RET’s were continually supportedthrough webinars and conference sessions.Poster FocusThis paper and poster will focus on how Teach Engineering is beginning to create a communityof practice among K-12 educators through PD opportunities. Research has shown that whether informal or informal settings, K-12 teachers and influencers need to be trained to bring engineeringdesign into classrooms to increase students’ awareness of engineering, and ultimately, interest inand ability to pursue engineering careers [1]. Yet, many successful mathematics and
context-informed research measurement tool – a human-centered design (HCD)depth of thinking rubric that gauges undergraduate engineering students’ use of qualitative andquantitative data in a HCD task. The development of this rubric is part of a larger study that willintroduce qualitative methods training into an existing engineering curriculum so that studentsacquire both quantitative and qualitative skills (i.e., “mixed methods”). This mixed methodsapproach may better prepare engineering professionals for interdisciplinary work. There is abroad understanding that qualitative and mixed-methods approaches may be beneficial forengineering; however, there is a clear bias for favoring quantitative methods in the engineeringteaching curriculum [1
laboratorydiscussed in the present paper. These new laboratories will provide aerospace engineering studentswith the opportunity to develop essential technical skills, such as handling tools, takingmeasurements, and using sensors and other devices more specific to aerospace applications. Thiswill not only allow them to understand the complexity of these systems but also enhance theircritical thinking and skills in this field. All these benefits, widely documented in the scientificliterature on pedagogy, have guided our choice toward experiential laboratories, despite the factthat in recent years, many instructors have turned to hybrid or remote formats for their laboratories([1], [2], [3]).Aerospace engineers often encounter very high-speed flows, such as
Cyber-Physical Systems AbstractThis paper outlines the Year 1 activities for a Research in Emerging Technologies for Teachingand Learning (RETTL) project about identifying threshold concepts in the field of cyber-physicalsystems (CPSs). Mastering threshold concepts, particularly in CPS design, leads to a transformedunderstanding of the subject and shifts students' identity within the context of the field. Given thecruciality of these concepts to a field, not just CPS, threshold concepts have been used to unpackstudent misconceptions and design the formative learning experiences necessary to master asubject's core ideas. In this project, we are developing a tabletop testbed for learning the
ContextManufacturing has historically been the economic engine of the Midwest. Globalization led tothe decline in traditional manufacturing. In recent years, there has been a resurgence ofmanufacturing activity in the Midwest [1, 2]. Supply chain pressures, national security threatsand shortages of microchips emerging during the coronavirus pandemic created the political willfor the U.S. to increase domestic manufacturing capability for microchips. Passage of P.L. 117-167 Creating Helpful Incentives to Produce Semiconductors and Science Act of 2022 – the“CHIPS Act” presented national goals to lead in the “research, development, manufacturing, andworkforce development” in semiconductors by catalyzing U.S. regional innovation andproviding workforce development
perceptions and usage of generative AI in second- year chemical engineering design exercisesIntroductionGenerative AI (Gen. AI) systems have recently become widely and easily accessible followingthe launch of systems such as ChatGPT in late 2022. One topic of interest is how students areusing these tools and the educational impacts of their use [1]. Researchers have sought tounderstand student use and perception of Gen. AI through a variety of means including surveysand case studies [2], [3], [4], [5]. Weber et al. surveyed 760 respondents at an R1 universityincluding students and faculty on their perception of Large Language Models (LLMs) [2].Students believed that LLMs would significantly impact their ability to quickly
scholar, studies how people learn as they frame problems in power-laden systems and how these activities relate to identity, agency, creativity, equity, and organizational change. ©American Society for Engineering Education, 2025 Work-in-Progress: Relevance and Agency in Laboratory Experiments Predict Engineering IdentityIntroduction & research purposeEngineering identity is double-sided, meaning in comprises both sense of belonging in aparticular field and how others position one in relation to that field [1]. Recent researchhighlights the value authentic learning experiences can have in developing engineering students’identity in and commitment to their field. Such
and machine learning courses for undergraduate mechanicalengineering technology students.Keywords: Machine Learning, Property Prediction, Composite MaterialsIntroduction Modern engineering applications focus on designing novel materials with superiortailored properties, leveraging advancements in high-performance parallel computing, materialsscience, and numerical modeling. These advancements allow for the calculation of manyessential properties of materials, marking a significant shift in material science and engineering[1]. Material design comprises forward modeling problems, where the structure of a material isgiven and its properties are determined by physical laws, and inverse design problems, where thegoal is to generate a
putblished on MIT OpenCourseWare: SP.248 NEET Ways of Thinking and Defining real-world problems with the D.I.S. method.Dr. Gregory L. Long, Massachusetts Institute of Technology Gregory L. Long, PhD is currently the Lead Laboratory Instructor for NEET’s Autonomous Machines thread at the Massachusetts Institute of Technology. He has a broad range of engineering design, prototype fabrication, woodworking, and manufacturing experienceDr. M. Mehdi SalekDr. Amitava ’Babi’ Mitra, Massachusetts Institute of Technology Amitava ’Babi’ Mitra linkedin.com/in/babimitra|+1-617-324-8131 | babi@mit.edu Dr. Amitava ’Babi’ Mitra is the founding Executive Director of the New Engineering Education Transformation (NEET) program at MITSarah
). The QPserves as a career development roadmap, emphasizing self-regulated learning, ethical practices,and targeted action plans supported by reflective assessments. Moreover, experiential learningactivities within the PFE program foster a service orientation among students, significantly en-hancing their social agency, academic self-confidence, and critical thinking skills, all vital forengineering success [8][1].Initially, the QP framework relied on Excel sheets and Google Forms to collect data on students’qualification development plans. Over six years of data were refined to simplify implementa-tion and analysis of the QP. This led to the development of the QP App, a semi-automatedplatform enabling students to select action items, assign