and teamwork, into a technical course to betterprepare students for industry challenges. Proposed interventions include reflective assignments,mock meetings, and mental health workshops, aimed at fostering resilience and broadeningengineering identity. By aligning technical and professional development, this work offers aroadmap for holistic curricular reform, ensuring students are both competent and confident asthey transition into the workforce.1. IntroductionWhat does it mean to be an engineer? The field of engineering education has long recognized thesignificance of developing both technical and professional skills to prepare students for complexworkplace challenges. With the rapid rise of enrollment in software engineering, and
dedication to both his profession and his community makes him a respected and valued member of Greenville University.Prof. Natalie Schleper, Saint Louis University Natalie Schleper is an instructor in the Department of Chemistry at Saint Louis University. She holds both a B.S. and an M.S. in Chemistry from Southern Illinois University Edwardsville and researched student misconceptions and their effects on student understanding of chemistry. Natalie is dedicated to fostering a deep understanding of chemistry among her students. At SLU, Natalie is known for managing large class sizes averaging between 600-800 students per semester. She has taught various classes such as Fundamentals of Chemistry lecture, General Chemistry 1
percent from2023 to 2033, much faster than the average for all occupations," [1] highlighting the robustdemand for skilled CM professionals.As construction projects become increasingly complex, a multidisciplinary approachincorporating elements from architecture, engineering, management, and leadership is essential[2]. Consequently, CM programs are evolving to include perspectives from economics,sociology, and information technology, making the field more appealing to civil engineeringstudents for its practical and theoretical relevance [3]. In today’s dynamic environment, theability to solve complex problems is crucial. Traditional management skills and techniques oftenprove insufficient as projects grow in scale.CM Education StatusThe CM
bring a focus on interculturalcompetency development to graduate student populations.Introduction and MotivationIntercultural competency and global competency, here meaning competencies of working andcommunicating across national and international context, are needed in an increasingly globalizedsociety. Engineers across the globe are solving complex problems that have a reach beyond theirnational borders. The need for intercultural and global competency has been identified forengineers specifically and supported by multinational initiatives such as UN Sustainable goals [1]and Global Grand Challenges [2]. Global engagement has been identified as a required criterion,leading engineering programs to work to integrate intercultural and global
has become increasingly essential. This work-in-progressstudy investigates how senior engineering students leverage AI-based learning tools, such asChatGPT, in design projects and explores the need for integrating formal AI training into engineeringcurricula. The study is guided by two central research questions: (1) How does AI enhancestudents’ ability to navigate complex design processes and improve outcomes? (2) What are theperceived impacts of AI on students’ learning, skill development, and ethical considerations inengineering design?Eighteen senior capstone students from three design project groups at a land-grant university inthe western United States were selected and recruited through convenience sampling toparticipate in the study
such programs.Keywords: Experiential Learning, Internship, Undergraduate Success, Engineering Education,Student Engagement.OverviewInternships are a cornerstone of higher education, particularly in engineering and engineeringtechnology and other similar disciplines, providing students with hands-on experience andpractical exposure to real-world challenges. While many undergraduate programs require studentsto complete internships before graduation, a notable number of students prioritize taking summerclasses to accelerate their academic journey. Despite this trend, co-curricular activities likeinternships are vital as they provide essential skills, practical experience, and a clearerunderstanding of future career paths. Landis [1] discussed the
off grid solar powered systems. ©American Society for Engineering Education, 2025 Design of An Optical Sensing System in Near-Ultraviolet (UV) Spectrum to Detect Environmental Surface Contamination AbstractThis paper presents a multidisciplinary research project to develop an optical sensing system basedon hybrid Ultraviolet-Visible (UV-VIS) spectrum image fusion algorithms that can contribute tothe technical advances for the automated Ultraviolet Disinfection (UVD) mobile systems. Theobjectives of the proposed research were twofold: 1) To establish a collaborative project betweenthe Departments of Engineering and Biology to provide training and mentoring
theirengineering thinking.IntroductionRecent advancements and accessibility of Artificial Intelligence (AI) tools have paved theway for the incorporation of AI into everyday lives. Large language models' rapiddevelopment and evolution point to a shift toward increased automation [1]. Consequently,students must be prepared to excel in an increasingly competitive, AI-driven world [2]. Tothis end, there is a push for integrating AI into educational curricula [3]. The Department ofEducation recently issued guidelines for integrating AI into educational settings to helpachieve learning outcomes [4]. However, the integration of AI in educational contexts,particularly in the K-12 domain, has been limited [5]. Although this can be attributed toseveral factors
,signal processing, and fault detection algorithms, and evaluate their effectiveness in detectinggearbox anomalies [1-3].This project demonstrated the integration of FPGA (Field-Programmable Gate Array) technologyand Virtual Reality (VR) [4] to enhance predictive maintenance for wind turbines in renewableenergy systems. Key accomplishments and insights include, The FPGA-based system providedreliable, real-time monitoring and fault detection. Using advanced algorithms for signalpreprocessing and feature extraction, the system successfully identified critical faults such asgearbox misalignment, bearing wear, and imbalance issues [5-7]. This capability enables earlyintervention, reducing downtime and operational costs. The VR environment allowed
roles, learning ecosystem, highschoolIntroduction In recent years, with the increasing global demand for technological innovation, STEMeducation has garnered significant attention worldwide. STEM education focuses on cultivatingstudents’ interdisciplinary thinking, practical problem-solving skills, and innovation, making it acrucial part of educational reform in many countries[1]. However, classroom-based instructionalone is insufficient to achieve these goals. Extracurricular activities, particularly in the context ofSTEM education, offer opportunities for hands-on practice and interdisciplinary learning,enhancing students’ innovative thinking and problem-solving abilities[2][3]. Despite the benefitsof extracurricular activities, their
cooperation, communication,creativity, and collaboration. These soft skills positively impact students development, includingtheir career development [1]. STEM Summer Camps, especially those who focus on hands-onlearning and laboratory experiences can improve students’ interest in and persistence in STEMfields [2]. In addition to the skills and knowledge developed, Camps on Campus allow studentsto engage with faculty, staff, students, and university facilities to enrich their experiences andallow for a greater sense of self efficacy as campers see themselves as university students.The access to high quality facilities, including university laboratories and faculty who lead theselabs, is an important aspect of our campus. Not only are these facilities
outcomes. Recent studieshighlight the ability of generative AI tools to create dynamic course content, automate routinetasks, and provide real-time, adaptive feedback to students [1-3]. These features are particularlyvaluable in addressing the challenges of large class sizes and diverse student needs, making AI apromising tool for scaling high-quality education.In chemical engineering education, where problem-solving and quantitative reasoning are integral,AI tools like ChatGPT and discipline-specific software have shown promise in assisting withcomplex calculations, modeling, and conceptual understanding. For instance, AI-driven platformscan simulate chemical processes and provide students with interactive learning opportunities,enhancing their
, particularly underserved students in STEM, face challengesin achieving their educational aspirations due to a lack of what we define as “college capital”—that is, the access to academic, co-curricular, social, financial, and professional support thatstudents need to be successful within institutions of higher education. As an academic andprofessional initiative aiming to bolster students’ college capital and promote students’engineering achievement, the Engineering Momentum Program provides: 1) academic support toensure program participants are prepared to succeed in calculus, which is a gateway course forengineering majors; 2) paid research internships to guide students toward engineering careers;and 3) transfer advising to help students navigate the
electrical circuit course forsophomore level mechanical engineering students with the required prerequisites of calculus andphysics [1-2]. The course has a weekly structure of a 2-hour lecture, 2-hour lab, for a 3-creditcourse. Since this is the only electrical circuits class in the mechanical engineering curriculum, awider set of topics are covered, including DC and AC circuits with resistors, capacitors, andinductors, as well as analog and digital electronics, including some digital logic.The course has two learning objectives. Students who pass this course will have demonstrated theability to: • Determine voltage, current and power in DC and AC electrical circuits. • Build electrical systems and test for function using laboratory
technology and how specific affordances can change the ways we collaborate, learn, read, and write. Teaching engineering communication allows her to apply this work as she coaches students through collaboration, design thinking, and design communication. She is part of a team of faculty innovators who originated Tandem (tandem.ai.umich.edu), a tool designed to help facilitate equitable and inclusive teamwork environments. ©American Society for Engineering Education, 2025Context of All in Which You Live: How Women Engineering Students Perceive Gender BasedPatterns in Teams 1
this foundational level can compromise the integrity of entire systems [1],potentially causing to catastrophic consequences, especially in critical applications such asmilitary and commercial cyberinfrastructure.Unlike software and network security, which have been extensively analyzed and deployed,hardware security is a relatively new field. Historically, there has been a flawed assumption thathardware is inherently secure and trustworthy, making it immune to cyber threats [2]. However,experts have increasingly highlighted vulnerabilities in hardware and embedded systems,pointing out significant risks posed by malicious actors exploiting complex and distributedsemiconductor supply chains. Consequently, this misconception has led to a critical
images” [1], is an essential skill in STEMeducation and is closely linked to academic success. In engineering, particularly in fields like computer-aided design (CAD), the ability to mentally manipulate 3D objects is fundamental [2]. For mechanicalengineers, this skill is indispensable for tasks such as designing intricate mechanical systems, analyzingstress and strain distributions, and understanding the motion of rigid bodies. The capacity to visualizespatially enables engineers to predict the behavior of objects in various environments and to solvecomplex problems involving forces and motion effectively.However, many engineering students struggle to develop strong spatial visualization skills, a challengeattributed to several factors. These
variety of complex technical topics, students face challenges in understandingand applying theoretical knowledge. AI technologies such as AI-assisted tutoring systems,performance predictions models, and generative AI tools are effective in enhancing studentinteractions with engineering curriculum improving student understanding and engagement[1][2]. By enabling real-time feedback, personalized learning experiences, and interactiveproblem-solving environments, AI tools are creating new opportunities for engineering education[3][4].The advancement of AI technology, particularly generative AI systems such as ChatGPT fosterscritical thinking and collaboration among students. In a study done by Abril students used AItools such as ChatGPT to obtain and
finding that retention rates in earlycomputing courses at participating institutions were inequitable across demographic groups. Theultimate goal of the Broadening Participation in Computing Alliance for Socially ResponsibleComputing is to improve the retention rates of LatinX students by increasing their sense ofbelonging to the field of computer science[1] through deliberate and intentional connections ofcurriculum to real-world problems and social issues. For this paper, we focused on the facultyexperiences of our most recent summer workshop and our reflection on the FLC implementationprocess. We present our faculty survey data from June 2024 and introduce reflective focus groupfindings [2], providing conjectures about the effectiveness of our
universities to one of the world’s largest steel manufacturers,not only bridged a significant skills gap in modern manufacturing but also delivered tangibleorganizational benefits, including a remarkable USD 8.5 million in cost savings annually.1. Introduction The rapid development of Industry 4.0 technologies, including the Internet of Things (IoT), artificial intelligence (AI), big data analytics, and machine learning (ML), has radically reshaped the global manufacturing sector. These developments require a skilled workforce to apply and utilize digital tools to meet sophisticated operational challenges [1,2]. Nonetheless, conventional teaching methods do not equip professionals with the capability to meet these challenges, focusing on
multifaceted design project thisassignment was also used to help assess the junior level students’ progress towards meeting theABET program outcomes.Introduction Engineers seek to design new things. To help train upcoming engineers to successfullyaccomplish this, engineering faculty are always looking for new ways to invigorate their studentsand let them see how the material they are learning in class will be applied to their future careers,as discussed by Svensson [1]. While taking an idea from initial concept to a finished workingprototype is ultimately the goal, this is not always practical or feasible. This would requireintegrating material learned in most of the courses in the engineering curriculum to fullyaccomplish. This culmination of
developthe skills and mindset needed to tackle complex, real-world challenges in biomedical design. Weaim to address the question of how the middle years of college (sophomore and junior years)serve as a bridge between foundational learning and advanced application of BME designattitudes, beliefs, mindsets, and skills.This course is designed to guide students in reflecting on their strengths, areas for growth,interests, and past experiences while creating an online resume. Through weekly 50-minutesessions, the seminar addresses ABET Student Outcomes 1–7, fostering a reflective approach tolearning in BME. However, the course’s impact has been limited by insufficient engagementwith real-world biomedical engineering challenges and the biodesign process
academic andprofessional development [1]. Recent industry data underscores this urgency - while 98% ofemployers rate teamwork as a critical career readiness competency, 73% report difficulty findinggraduates with essential soft skills like teamwork and conflict resolution [2], [3]. This gap isparticularly concerning as only 77% of recent STEM graduates rate themselves as proficient inteamwork, suggesting a disconnect between workplace demands and graduate preparedness [2].The problem is further exacerbated by the fact that 60% of STEM employees never receive basicconflict resolution training [4], highlighting the crucial need to address these skills duringacademic preparation.Engineers, scientists, and technologists often work in interdisciplinary
equip them forpathways toward higher education and career.IntroductionPre-college programs can play an immense role in introducing and encouraging high-schoolstudents to science, technology, engineering, and mathematics (STEM) fields and majors incolleges or universities [1-4]. Current research suggest involvement in pre-college programs mayencourage student attendees to study STEM-related majors [5-6], potentially improve theiracademic performance or retention rates [7-8], and improve representation by underrepresentedgroups [3, 9]. These programs or summer camps can potentially enhance the student participants’learning experience by covering topics not typically offered in schools. The programs aim tomake them better prepared for college
provide support and resources to develop these skills. The goal of thisintegration is to ensure graduates go into industry or graduate programs equipped tocommunicate effectively with the ability to work on teams to support projects and solveproblems. The need for these skills is reflected in ABET Outcomes and by what employersindicate graduates need to succeed [1-3]. Despite these efforts, employers indicate that recentgraduates may not possess the needed skills to communicate and collaborate effectively [4-5].Furthermore, graduates may struggle to transition from academic to workplace settings. Thesechallenges demonstrate the need to examine how engineering educators support professionalskill development, understand the factors that influence
on the skills that enable graduate school successIntroductionAttention is being paid to the importance of educating graduate engineering students for bothresearch careers and opportunities in industry, acknowledging that graduates are increasinglymaking the choice to pursue careers outside academia. Understanding the skills that enablesuccess both within and outside academia can help us provide more relevant and effectiveprogramming at the graduate level [1] [2] [3] [4] [5] [6] [7] [8]. Research in this areaacknowledges the value of transferable (non-technical skills) to students during their graduatedegree, as well as during their transition to industry. Often these skills can be most effectivelydelivered
transfer program leaders who participated in structured discussions duringa two-day convening in May 2024. Key findings highlight the importance of academic preparation,articulation agreements, financial aid, summer bridge programs, and industry partnerships infacilitating smoother transitions. This study offers actionable insights for policymakers andeducators seeking to improve transfer pathways in engineering education.IntroductionThe transfer pathway from community colleges to four-year institutions is essential for expandingSTEM career access and meeting workforce demands. However, barriers such as inadequateadvising [1], [2], misaligned curricula [2], [3] and limited support programs [4] disproportionatelyaffect historically marginalized
Engineeringstudents articulate human diversity more centrally in their artifacts.Literature ReviewStakeholder analysis is a critical tool for engineering education which could be made moreinclusive and critical. The use of traditional models of stakeholder analysis, while centering the“user” in the creation of systems and products, can miss out on critical questions of equity,fairness, and inclusion. In order to affect change in the stakeholder analysis process, systemsengineering educators have an opportunity to create more meaningful experiences and activitiesto help students think about decolonizing engineering processes [1].Issues of equity are not just with marginalized populations but also with new tech, new methods,and a loss of objective critical
, the SEAR lab, focuses on three major areas: 1) Energy Systems and Technology; 2) Buildings, Transportation, and Infrastructure; 3) Critical Supply Chains; with ancillary work in Operations Management, Logistics, RFID, and Health. The lab specializes (analytically) in Mathematical Optimization, Simulation, AI / ML, and specialized analytics (GIS, LCA, TEA). They develop prototypes and pilots informed by Mechanical, Electrical, and Chemical Experiments guided by Systems Engineering principles conducted in interdisciplinary teams. Jones has a Chemical Engineering undergraduate degree and Petroleum Engineering minor from Texas A&M University, an Operations Research and Industrial Engineering doctoral degree from
. ©American Society for Engineering Education, 2025 Visualizing TDOP+ Classroom Observation Data using DashboardsThis is an Evidence-based Practice Paper; Research Brief. With the increase of potential datasources for learning analytics (e.g., learning management systems, technology-enhancedclassrooms, and automated and manual classroom observation), learning dashboards are anemerging area of development. To be meaningful, data – especially large data sets – requireseffective processing, analysis, and visualization [1]. Unlike traditional methods that depend onparticipants’ willingness and ability to recall and report past experiences accurately (e.g.,surveys, focus groups) there are now opportunities to capture real-time data on specific