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
) Member of the Sault Ste Marie Tribe of Chippewa Indians and educational researcher focused on issues of equity in Black and Brown education in the United States. ©American Society for Engineering Education, 2025BackgroundThis Work-in-Progress (WIP) paper is part of a larger project focused on promoting fairness inengineering assessment. It explores the undergraduate engineering classroom exam experiencesof racially minoritized students at Primarily White Institutions (PWIs). Despite efforts in theUnited States to advance diversity, equity, and inclusion in engineering (e.g., [1], [2]), significantdisparities in educational outcomes persist between White engineering students and their raciallyminoritized peers [3
experience with learning activities. The aim of course-basedapprenticeships are to obtain the benefits of CURES and apprenticeships while avoiding theirindividual pitfalls.Theoretical Framework: Backwards DesignIn this section, we discuss the theoretical framework for the redesign of our Summer REU.Backwards course design is a way of designing curriculum by starting with the end goal in mind(Hansen, 2011). This means identifying desired results (learning objectives) followed byacceptable evidence of learning (assessment) before developing instructional activities(instruction). The benefits of backwards course design are that 1) it focuses on the big picture ofwhat student should learn, 2) it provides detailed criteria of quality performance upfront
]. However, critical thinking skills have benefited this instructor in theanalysis of problems and development of solutions over a 25-year career in the engineeringconsulting industry. Thus, critical thinking is a very important, though infrequently taught,aspect of engineering problem solving [1], and is important to the success of student’s futureengineering careers [2,3,4]. This paper describes the incorporation of a critical thinking moduleinto a freshman introductory course and a senior design capstone course at TAMUK. Theresearch question that was addressed in this effort was "Can integration of critical thinking in afreshman or senior engineering class improve student’s readiness and confidence in addressingcomplex engineering problems they
there is little or no correlation. This reaffirms the importance of succinctness in technicalwriting to improve clarity and reduce ambiguity. The average grades achieved in both instanceswere comparable (67.6 % and 66.9 % respectively) with similar standard deviations (9.4 % and8.6 % respectively) demonstrating that imposing a word limit did not have a detrimental effect tothe assessment process and allowed student performance to be differentiated successfully. This ishighly beneficial to both staff and student workloads, whilst maintaining academic excellenceand ensuring that all intended learning outcomes are still met. 1. BackgroundClear, succinct communication is extremely important in any field or discipline and is a key skillthat
-efficient computing. ©American Society for Engineering Education, 2025 Toward a Fair and Unbiased Debugging Evaluation InstrumentIntroductionDebugging skills are critical to the semiconductor industry, as deficiencies can incur significantcosts. The unpredictable nature of debugging tasks has earned it the nickname “The ScheduleKiller” [1] with some electronics engineers spending up to 44% of their time on debugging [2].Despite the critical economic importance of this million-dollar question [3], undergraduate ECEcurricula often omit hardware debugging skills [4], [5]. Instead, it is left to develop indirectlythrough design projects and labs. To help fill this gap, we are developing a circuit debuggingcurriculum
and learningprocesses [1]. Generative AI tools continue to grow dynamically facilitating innovation,supporting inquiry-based learning, fostering creativity and personalizing education. Its usages inthe classroom span diversely from acting as learning aids in STEM discussion [2] to preparatorytools in a flipped classroom [3]. Adaptive learning systems powered by AI have garnered theability to analyze student performance in real time and tailor content to individual needs, therebyenhancing the learning experience. AI-driven platforms, such as intelligent tutoring systems,provide immediate feedback, helping students improve their skills and understanding at theirown pace. Hence, generative AI is changing the way students are interacting and
professionals [1]. In otherwords, knowing how to work as part of a team and present their work to different audiences isjust as important as knowing Python or Java for today’s software engineers. The ComputerScience (CS) Senior Design capstone at North Carolina State University has embraced thismindset from its inception via task planning, a project management activity wherein teamscollaboratively outline preliminary requirements and system architecture along with an earlyvision of implementation and testing, “including estimating hours, defining project scope . . .clarifying project deliverables, and maintaining follow-through” [2].Interestingly, task planning began almost by accident. During the first decade of the CScapstone’s existence at NC State
research paper analyzed the data for the 2022-2023 cohort and used the MUSIC(eMpowerment, Usefulness, Success, Interest, and Caring) model of motivation as a basis tounderstand 93 participants’ external motivation for engagement with the mentoring activities basedon academic classification (First-Year, Sophomore, Junior, Senior) and type of mentoringrelationship.Introduction and BackgroundWomen in STEM (Science, Technology, Engineering, and Mathematics) fields face negativestereotypes that cast doubt on their abilities, leading to a decreased sense of self-efficacy thatnegatively affects the retention and success of women [1]. This decreased sense of self-efficacy isexacerbated by both the lack of similar peers and role models, which creates a
deployment of newtechnologies. Additionally, both our face-to-face (F2F) and distance education (DE) studentpopulations are growing. Feedback to students is often delayed because of large class sizes. Toaddress these challenges, we have been incorporating virtual labs and automated assessments [1–2] into our information technology laboratory courses [3]. The labs and their environments haveundergone multiple updates to align with current technological trends.The most recent major redesign of the ICTN 4200/4201 Intrusion Detection Technologies courseoccurred during the 2021–2022 academic year. The new lab platform is built around a singleLinux virtual appliance that hosts multiple nested KVM virtual machines functioning as attackersor defenders. This
features ofthe domain, and reduce floundering time on task [1]. Following this approach, traditionalengineering courses often guide students through structured instruction before attempting tosolve problems, which can limit opportunities for exploring the underlying complexity ofconcepts. In the recent decade and a half, however, DI was criticized for not scaffolding enoughactive learner engagement. This criticism was based on findings showing superior learningoutcomes for active learning in comparison to DI, especially in STEM fields (Science,Technology, Engineering, and Mathematics; [2]–[4]).One way to implement active learning in the classroom is using Problem-solving beforeInstruction (PS-I). PS-I is a pedagogical approach in which students
opened doors to innovative teaching and learning approaches that werepreviously unattainable [1]. Among these fields, mechanical engineering technology stands outas an area where technology can significantly enhance the educational experience. Mechanicalengineering technology requires students to develop a comprehensive understanding oftheoretical principles while also applying these concepts to solve real-world problems.Traditional methods of teaching in this discipline often rely heavily on lectures, textbook-basedlearning, and limited hands-on laboratory experiences. While these approaches providefoundational knowledge, they are often hindered by significant challenges. These include thehigh cost of advanced equipment, restricted access to
: Addressing the need-to-know local students, families, and communityThe National Research Council’s report [1] on “Successful K-12 STEM Education: IdentifyingEffective Approaches in Science, Technology, Engineering, and Mathematics” (2011), statesgoals of expanding the STEM-capable workforce and increasing scientific literacy for allstudents and highlights providing student-centered learning climates as one of the elements tosupport learning. In addition, the National Science Board Vision 2030 [2] further emphasizes theneed to develop STEM talent for America, and the Massachusetts Department of Elementary andSecondary Education Office of STEM [3] states the goal to “increase authentic connections ofSTEM learning to everyday experiences, local
. Warren was a Principal Member of the Technical Staff at Sandia National Laboratories in Albuquerque, NM. He directs the KSU Medical Component Design Laboratory, a facility partially funded by the National Science Foundation that provides resources for the research and development of distributed medical monitoring technologies and learning tools that support biomedical contexts. His research focuses on (1) plug-and-play, point-of-care medical monitoring systems that utilize interoperability standards, (2) wearable sensors and signal processing techniques for the determination of human and animal physiological status, and (3) educational tools and techniques that maximize learning and student interest. Dr. Warren is a
criticalto developing broad, long-term technical literacy.IntroductionTechnical literacy is essential for modern careers and informed citizenship in the 21st century[1]. While many undergraduate programs require technical elective courses in science andengineering [1], [2], [3], [4], few studies have examined the long-term development of studentattitudes, such as self-efficacy and identity, regarding engineering in non-major populations [4],[5]. Non-engineering graduates must be technically savvy in today’s workplace. Therefore,students outside of the engineering disciplines should be able to develop technical skills withoutthe traditional barriers of calculus and physics that gatekeep the engineering major at theuniversity level. Our course 18-095
that the current needs be met in a way that does not hinder future generations from meetingtheir own needs [1]. In civil engineering, sustainability emphasizes the design and construction ofinfrastructure that minimizes environmental impact, conserves resources, reduces emissions, andenhances resilience within communities [2]. This approach integrates sustainable practices at everystage of infrastructure development, from planning and design to construction and management.Achieving these objectives relies on the use of innovative materials, advanced technologies, andcomprehensive environmental management strategies, ensuring long-term efficiency andadaptability [3].In the Department of Civil and Environmental Engineering (CEE), capstone