Education and Practice (ISTEP), Director of the Collaborative Specialization in Engineering Education, a 3M national Teaching Fellow, and a m ©American Society for Engineering Education, 2025 The Influence on Engineering Industry Career Paths of Specific Undergraduate Student Experiences and ActivitiesIntroductionBackgroundThe options of career pathways for graduates of engineering programs have continued to shiftover the past years and decades [1]. Despite these broader options for engineering graduates,much research in engineering education is still focused on binary career paths of “Technical” and“Managerial” paths, as well as “Hybrid” or other career paths [2], [3], [4], [5], [6
findingswithout fear of losing their jobs, thus supporting the advancement and dissemination ofknowledge [1]. Tenure significantly benefits the academic community and society by attractingand retaining talented faculty members, thus safeguarding teaching and research [2]. However,tenure has also been criticized for potentially allowing incompetent teachers to keep their jobs,negatively affecting faculty productivity, overstating concerns about academic freedom, andbeing costly and inefficient [3], [4].Fundamentally, the tenure process is perceived to be grounded in principles of meritocracy andobjectively measurable criteria based on demonstrated excellence in research, teaching, andservice-related activities [5]. Research highlights the importance of
analyses to investigate 1) gender-basedperformance difference across various assessments; 2) the influence of the gender composition ofcollaborative learning groups on individual student performance; 3) the impact of academic levelon performance outcomes.Our findings showed that the percentage of female students enrolled in the course increased from25% in 2015 to 51% in 2023. Using grade point average (GPA) as a performance indicator, atwo-sample t-test revealed no significant difference in overall performance between male andfemale students (p = 0.28) across all semesters aggregated. To assess the impact of group gendercomposition, students were categorized as females in single-gender groups, females in mixed-gender groups, males in single-gender
Information System Security Professional (CISSP®) certification with security architecture focus (ISSAP®) from ISC2®.Tracey Sulak, Baylor UniversityDr. Anne Marie Spence, Baylor University Clinical Professor Mechanical Engineering ©American Society for Engineering Education, 2025 Investigating Perceptions of Engineering in First- and Third-Year StudentsThis empirical research brief investigates undergraduate students’ perceptions of engineering asa career. Guided by theory on developing engineering perceptions [1], [2] and the 2024 InclusiveMindset Report’s challenge to create pathways “toward professional practice, graduate school,and challenges not yet known” [3, p. 39
example, numericalintegration is used to estimate velocity and displacement from accelerometer data, which iscrucial in fields like automotive crash testing. In crash testing, accelerometers captureacceleration during an impact. By integrating this data, engineers can calculate velocity anddisplacement to assess vehicle deformation and passenger movement, informing the design ofairbags, seatbelts, and crumple zones. Additionally, numerical differentiation allows for thecalculation of higher-order derivatives, including jerk, snap, crackle, pop, and lock (first to fifthderivatives of acceleration) [1]. Among these, jerk—the rate of change of acceleration—isparticularly important in crash safety. High jerk values indicate sudden changes in force
sectors in embracing and implementing meaningful DEI practices, leaving significantgaps in representation and inclusivity.The construction industry’s entrenched male-dominated culture poses significant challenges forfemale professionals and graduates, who often face unequal opportunities for career advancement[1]. Similarly, minority groups frequently encounter systemic barriers that hinder their access tocareer pathways equivalent to those available to their peers. This disparity highlights the criticalneed for robust, targeted DEI strategies within the construction sector.Higher education institutions offering Construction Engineering and Management (CEM)programs have begun addressing these challenges by working to close enrollment gaps
, particularly those encounteredin industrial settings. This challenge is especially pronounced in chemical engineering, wherecomplex problems frequently require the simultaneous application of multiple theoretical conceptsacross different domains such as thermodynamics, fluid mechanics, and process control.In response to this educational challenge, we developed CHE CALCULATOR®, an Excel-basedcomputational tool designed to bridge the gap between theoretical knowledge and practicalapplication. The tool serves multiple pedagogical objectives: 1. Facilitating the integration of concepts across different chemical engineering courses 2. Providing students with hands-on experience in solving industry-relevant problems 3. Developing students
ModelInstitute for Technology and Engineering (NMITE) in Hereford, UK. This program builds on thesuccess of many programs across the UK, the US, and Canada, with a particular focus onpractical applications and sustainable building and management techniques. Each course in thedegree program links with industry partners to bring current projects, materials, and workingconditions into the classroom, better-preparing students for a rapidly evolving constructionlandscape.In this paper we use language advocated by the UK’s SPECTRUM Centre for IndependentLiving [1] which explains that “the term ‘Disabled People’ has been adopted to define acollective identity for the Disability Movement in the UK.” We acknowledge that this may notbe the preferred language for
performance of the task, particularly in high-stakes environments. Therefore, assessment and management of cognitive workload are vital toimproving operational efficiency, health outcomes and safety, particularly in individuals workingat computers 1 . Traditionally, cognitive workload has been assessed using unimodal data sources 2such as subjective surveys, behavioral metrics, heart rate and EEG signals. These unimodal datasources typically lack the necessary features to perform a wholesome assessment of cognitive * This research was sponsored in part by the National Science Foundation’s REU-Site Award #2150210, and inpart by the Army Research Laboratory and was accomplished under Cooperative Agreement Number #W911NF-24-2-0162. The views and
formation of engineers.Dr. Teri Kristine Reed, OU Polytechnic Institute Teri K. Reed is the inaugural Director of the OU Polytechnic Institute and Professor and George Kaiser Family Foundation Chair at OU-Tulsa.Samuel Van Horne, University of Delaware ©American Society for Engineering Education, 2025 Research Initiation: Facilitating Knowledge Transfer within Engineering CurriculaIntroductionThe transfer of knowledge (or transfer of learning) is often defined as the ability to applyknowledge gained in one situation to a new, different situation [1]. While teaching the ability totransfer learning is a major goal of education, it is well-established that students have
, behavioral regulation, and emotional regulation. The team effectiveness and teamregulation was scored on a scale from 1 to 3 on the rubrics, reflecting the extent to whichstudents demonstrated these attributes. For the intercultural goals setting, a rubric was used withcategories for goal setting, progress and reflection, and application and future planning, scoredon a 1 to 4 scale. After the reflections were scored, we calculated the descriptive statistics forteam effectiveness (TE), team regulation (TR) and intercultural competence (IC). Mean standarddeviation and median for each of the three was calculated. The median score for team regulationwas used to group the high and low categories. Further a matrix was created for teameffectiveness and
, sustainable materials, and resilientinfrastructure. Recognizing the importance of fostering SL among engineering students tobuilding a sustainable future, this study aims to: (1) measure the current level of sustainabilityknowledge among undergraduate and graduate engineering students at a higher educationinstitution in Colombia, and (2) compare these scores against benchmarks at the university,national, and global levels.This comparative analysis will provide valuable insights into the effectiveness of currentsustainability education efforts and inform future curriculum development. Furthermore, thisresearch will contribute to a broader understanding of how engineering education can be betteraligned with the urgent need for sustainable solutions. A
primarily undergraduate focused institution. Survey data focused onstudent satisfaction ratings and reactions to traditionally created vs AI generated content as wellas feedback on faculty perception and comfort level around utilizing AI as an educational tool ispresented.IntroductionOne of the greatest challenges and opportunities facing higher education today is the use ofartificial intelligence (AI) and its impact on education. The excessive use of AI technology bystudents has raised concerns regarding the impact on students’ academic and real-lifeperformance [1]. This coupled with academic integrity issues associated with AI has created anegative stigma for many educators [2]-[5]. Despite the negative perceptions surroundingstudents’ use of AI
STEM majors to reconnect with and definehuman talents and abilities to solve human problems and develop technological solutions.IntroductionGenerative Artificial Intelligence (GenAI) offers tools to transform K-12 science, engineering,technology, and mathematics (STEM) education. Teachers can use GenAI technology such asChatGPT to supplement their teaching methods or create content such as course outlines andquizzes; students can use it to help with homework and to receive formative feedback on theirwork [1, 2]. ChatGPT is a large-lanuage model (LLM) chatbot; it generates human-like textresponses based on training from a large amount of data [3]. A March 2023 survey of 1,002 K-12teachers found that over half of respondents (51%) reported using
primary misconceptions. The methodsthat instructors and researchers used to identify misconceptions were collected and categorizedbased on assessment type. Similarly, the strategies developed to repair and prevent studentmisconceptions are presented. With this literature review, a more cohesive view of studentmisconceptions can be formed, so that instructors may anticipate these misconceptions in theirown courses and attempt to remediate them, as well as facilitating a deeper understanding ofstudent misconceptions that may be more generalized to engineering education as a whole.IntroductionMisconceptions are incorrect or incomplete understandings of concepts sometimes due to theovergeneralization of ideas [1]-[3]. These misconceptions can
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