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
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
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
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
targeted interventions. This study demonstrates the TDCM’s effectiveness inenhancing conceptual understanding, supporting data-driven strategies to address persistentmisconceptions, and improving outcomes in engineering education. * Corresponding authorIntroductionMisconceptions, deeply embedded in students’ cognitive frameworks, present significantchallenges in education, particularly within STEM fields such as engineering. Thesemisconceptions arise not as random errors but as coherent alternative understandings that conflictwith established scientific principles, often shaped by prior knowledge and intuitivereasoning[1, 2]. The alternative conceptions that students construct tend to be robust and persisteven after instruction, hindering
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
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
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
materials. This town has also made itself known for forward-thinkingactivities within domestic infrastructure, such as biogas city buses [1], extensive renewabledistrict heating [2] and production technology [3], as well as higher education. It is a medium-sized Swedish town with links to this industrial history that makes it a main local provider ofgraduated Engineering students. That was also one reason for the online professionaldevelopment course program that was created by this University as an Industry-Academycollaboration, within the ExSus project (EXpert Competence for SUStainable Production).Since the Aerospace and Transport industry are some of the main local stakeholders, it wasnatural to include a strong focus on relevant, so called
considerations for each identified schedule.Literature ReviewThere are extensive research efforts within the classroom use and utilization space. In a 2002Facilities Manager article, the author concluded that “[w]hen a campus that is experiencinggrowth has a shortage of classroom space [...] a careful look at the utilization and scheduling ofexisting classrooms becomes important [1].” The author went on to discuss some of the greatestfactors affecting classroom utilization efficiency noting that “[w]hen class starting or ending timesdiffer from standard meeting times, the result is a classroom schedule as a matter ofaccommodation rather than optimization [1].” The author further outlines the consequences of alack of uniformity in university schedules
education research interests include instructional scaffolding and gameful learning to increase student engagement and accessibility.Gaoxiang Zhou, University of Pittsburgh ©American Society for Engineering Education, 2025 Student perspectives on attendance and instructional methods in a combined lecture and laboratory courseIntroductionMost instructors who require attendance do so with the goal of improving student learning.However, attendance does not guarantee engagement. Although attendance has been found to bepositively correlated with academic performance, studies of attendance suggest a complexrelationship among student motivation, attendance, and learning outcomes [1
objectives. Ultimately, at the close of the Capstone course, students arerequired to present a design solution to their client that meets expectations.Literature suggests that project success could depend on many factors which also contribute toteam members’ overall satisfaction. These factors include balancing team members’ projectinterests, their desire to work with specific peers with varied personalities, and withconsideration to institutional project priority [1-3]. Balancing all these factors during teamformation is time-consuming for course instructors, but doing so is crucial for teams’ success incompleting projects. Team formation in the Capstone course is a key activity undertaken by allcourse instructors in cooperation, as it plays a
fromautonomous vehicles and smart grids to social networks and financial markets. Future controlengineers and roboticists will need to understand the complex behaviors of large-scale networkedsystems and the challenges that distributed and unreliable communication networks can bring.Yet, traditional undergraduate control engineering curricula lack hardware-based, hands-onexperience with multi-agent systems, partly due to the cost, laboratory space, and time required toconduct experimental activities.This paper presents a low-cost experimental undergraduate testbed that provides a practical,portable small platform for studying graph theory concepts and the control of MASs. The testbedconsists of five individual rotatory 1-degree-of-freedom (DoF) links
Materials, Project Management, and Construction EducationDr. Mohsen Garshasby, Mississippi State University Mohsen Garshasby is an Assistant Professor in the Department of Building Construction Science at Mississippi State University. Dr. Garshasby is an architect, researcher, and educator who currently teaches collaborative studio(s) and environmental building systems within the College of Architecture, Art and Design at Mississippi State University. ©American Society for Engineering Education, 2025The Impact of NACE Competency Integration on Students’Perceived Career Readiness in Construction Management Education Mohsen Goodarzi1, Tamer Breakah2, and Mohsen Garshasby3 1
. She is currently Professor of Mechanical Engineering ©American Society for Engineering Education, 2025 NSF IUSE: Leveraging Institutional and Community Capacities in Implementing Community-Engaged STEM PBLWith higher and faster growing wages [1], STEM-related employment has been key to buildingthriving communities. In the deindustrialized Midwest, however, cities often have poverty ratesdouble the national average, lower educational attainment, and the ‘brain drain’ problem [2].These issues create barriers to developing and retaining a regional STEM workforce andcompeting in the knowledge economy. Thus, STEM engagement is not just a nationalimperative, but critical to revitalizing these
fulfillingeducational experience for both the students and the liaison. This paper presents a comprehensiveset of guidelines to ensure a positive and productive experience for the students and liaisons.These guidelines are produced through the collection and analysis of insights into provenpractices that contribute to the success of these collaborations. This paper describes a three-phasemethodology for collecting the insights through 1) a literature survey of industry sponsoredengineering courses, 2) interviews and surveys conducted with experienced industry liaisons, and3), student evaluations from two capstone courses from two institutions. Students have diverseexpectations for their liaisons including their consistent availability, honesty, and
, autonomy and motivation amongstudents [1], [2]. Integrating technology into education is an effective way to create active learningenvironments. In this study, Nearpod was employed as a platform to promote various aspects ofactive learning in the classroom and enhance students' learning experiences in two sections ofThermodynamics course, involving a total of seventy-two students.Previous studies integrating Nearpod into various disciplines and educational settings havedemonstrated its effectiveness as an active learning platform [3], [4], [5]. This tool offersinteractive and game-based features for versatile applications, enabling diverse outcomes andexperiences across courses. Unlike previous investigation, this study explains how this tool