addressing whether the PLSG intervention enhances FGCS pass rates, degree retention, andundergraduate major persistence. The FGCS group is four times more likely to drop from theirprogram than their non-FGCS peers, often due to factors such as lack of support and lowaspirations for degree attainment and learning [1, 2, 3].Initial comparisons show FGCS in PLSGs (FG-PLSG) passing at a rate over 15% greater thantheir non-PLSG peers during Spring semesters. However, the Fall semesters indicate FG-PLSGspassing at a rate 5% lower than their non-PLSG peers. We predict this could be attributed todifferences in student demographics between semesters, for example, student degree programs,which have course ordering recommendations, potentially influence course
), Chemtrade Logistics, International Petroleum, and the Canadian Mining Innovation Council. ©American Society for Engineering Education, 2025What Makes a Leader? Conceptualizations of Leadership and Implications for Teamwork in First Year DesignIntroductionLeadership identity development for engineers is more critical than ever to create sustainable andequitable solutions in today’s complex world. Despite its importance, leadership remains achallenging competency for students to develop, and engineering educators to teach. A keycomponent of leadership development is understanding what leadership means to an individual[1]. This can be quite challenging for students, as leadership is a complex
States.Keywords: self-regulated learning; time-on-task; learning analytics; engineering designeducationIntroduction and Theoretical FrameworkSelf-regulated learning and time management have long been essential components of designeducation in engineering. During the COVID-19 pandemic and the transition to onlineenvironments, self-regulated learning was among the most desired and needed learning outcomesfor higher education programs. Self-regulated learning (SRL) is a frequently used concept inhigher education. This process involves self-generated ideas, attitudes, and behaviors that areplanned and cyclically altered to meet personal goals [1]. The literature on SRL highlights theusage of Learning Analytics Dashboards (LAD), which may give information to
organizations, students’ maynot gain easy access to mentorship, and their experiences may not be optimal or may bemisaligned with their expectations.To lay the groundwork for improving students’ access to mentorship and their experiences in thisunique setting, we have formulated the following research questions: (1) How do students at anERC describe their ideal mentoring relationships? and (2) What are the key factors that shapestudents' perceptions of effective mentoring in this context? To address these questions, weutilized an inductive qualitative research approach to gain a deeper understanding of students’mentoring perceptions and experiences. A total of 14 students at the ERC participated in the fullstudy. The full study included conducting pre
) initiative [2] integrates new problem-solving approaches into engineering education toprepare students to tackle sustainability challenges alongside historically marginalized communities.Additionally, increasing the participation of underrepresented students, including first-generation collegestudents, in engineering is vital for sustaining the U.S. research and innovation capacity. However, thesestudents must navigate complex challenges to see themselves as integral members of the field [1].Teaching sustainable ethical designs and service-based components for undergraduate students helps thenext generation in understanding their engineering identity and belonging. In this paper, a curriculum thatincludes community partnerships helps future
” group butthis group is additionally exposed to five active learning projects, as Table 1 shows. All projectsneeded critical thinking with projects 1, 3, and 4 requiring craftmanship as well. For all projects,students worked in teams of about five people. Due to class time limitations, for some projectswork was partly done in class and partly outside class. The teams were formed by the studentsthemselves to better match their schedules.Figure 1 shows the students’ major in each group and Fig. 2 their self-reported grade point average(GPA). It can be seen that the “passive” group has mostly mechanical engineering students, whilethe “active” group has a more balanced interdisciplinary student body. Based on the reported GPA,students in the
Nu (HKN, the National Honor Society for Electrical Engineers), the Pennsylvania Society of Professional Engineers (PSPE), the National Society of Professional Engineers (NSPE), and Professional Engineers Ontario (PEO). He is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). ©American Society for Engineering Education, 2025Assessment of Co-Curricular activities in the STEM domainto improve Student LearningAbstractThis paper investigates the impact of extracurricular activities within the STEM (Science,Technology, Engineering, and Mathematics) domain on student outcomes. These outcomes are:1. Analyze a broadly defined problem within the program’s domain and apply
signalprocessing. BME students typically find signals and systems courses difficult because theyrequire an intuitive understanding of calculus, differential equations, circuit analysis, andprinciples of human physiology. In addition, signals and systems courses require application ofmathematical formulas to model and analyze signals as well as cognitive flexibility in switchingbetween time and frequency domains [1]. MotivationSignals and Systems for BME is a required three-credit senior-level course at WentworthInstitute for biomedical engineering students. Over the past eight years, this instructor has taughtthe course to 15 cohorts, with enrollments ranging between 35 and 70 students per year. Earlyon, the
strategies.Keywords: knowledge about tasks, problem-solving, self-regulation, mathematics education, engineeringeducation, learning episodes. 1. BackgroundProblem-solving is a persistent challenge in education, requiring integration of cognitive and metacognitiveskills for success. Polya’s framework—understanding the problem, devising a plan, implementing it, andreviewing the solution—remains central to problem-solving and mirrors self-regulation phases [1]. Thisstudy focuses on the cognitive dimensions of problem-solving, which are less explored, though externalfactors like abstraction and continuity also influence students’ approaches.Shin et al. [2] highlight the complexity of problem-solving in STEM, requiring cross-disciplinaryintegration. However
engineering concepts ina new course. Specifically, we couple project-based learning and Agile methods, which representthe best practices in the IoT industry, to provide mechanical engineering students with a highlypractical, hands-on learning experiences. In this paper, we present details of the Agile methodcomponent of the new course.1 IntroductionIn the era of Industry 4.0, integration of physical systems with digital technologies transformsindustries and has enabled numerous opportunities for creating smart products. Both the numberof IoT applications and the revenue are projected to grow significantly, based on recent marketanalysis forecasts [1]. Mechanical engineers, traditionally focused on the design and developmentof physical systems, now
particular attention to engaging students in the STEAM content areas, he focuses his investigations on enhancing creativity and innovation, supporting better documentation, and encouraging collaborative learning. ©American Society for Engineering Education, 2025 Development of a Programming Environment to Bridge Students from Block-Based to Text-Based Programming (Work in Progress)IntroductionComputer Science (CS) education continues to expand in U.S. schools, with high school CSofferings increasing from 35% to 60% between 2017 and 2024 [1]. However, significantdemographic disparities persist, particularly affecting African American/Black,Hispanic/Latino/Latina/Latinx, and Native American/Alaskan students
Stanford University and holding a non-tenure-track faculty position at the University of Minnesota. Dr. Webster’s research expertise lies in environmental fluid mechanics focused on the influence of fluid motion and turbulence on biological systems. His contributions have been in three arenas: 1) illuminating the fluid mechanics processes related to sensory biology and biomechanics; 2) developing advanced experimental techniques and facilities; and 3) translating research results into bio-inspired design. In recognition of these contributions, Dr. Webster is a Sustaining Fellow of the Association for the Sciences of Limnology and Oceanography (ASLO) and a Fellow of the American Society of Civil Engineers (ASCE). He has
. Weconducted a qualitative document analysis of fifty-eight embedded client letters in fifteenengineering design-based K-12 STEM integration curricular units. Through the lens of theSTEM Integration Framework, we explored the following research questions: (1) What is therole of client letters in context-rich, engineering design-based K-12 STEM integrationcurriculum? (2) How do client letters add value to engineering design-based STEM integrationcurriculum? The analysis revealed unique roles of different client letters and the importantcontextual elements to convey in each role, deepening the connection between content and real-world scenarios in support of problem scoping, knowledge building, engineering design, andconcluding response. Additionally
have been integrated intofirst-year engineering lab courses to improve curriculum accessibility. This paper evaluates thevalidity of an instrument designed to assess the project's impact on students’ college experiencesand persistence. It builds on prior exploratory factor analysis (EFA) research by presentingconfirmatory factor analysis (CFA) findings to further validate the instrument [1].Introduction Engineering undergraduates have significant career opportunities and potential for socialmobility, but economically disadvantaged yet academically gifted students often lack adequatesupport. Many low-income students juggle part-time jobs and family responsibilities, limitingtheir focus on academics and impacting their social integration
a Pre-college STEM Outreach Program over Time (Evaluation)Introduction A skilled STEM workforce is critical to maintaining the competitiveness of the U.S. intoday’s global economy. STEM job opportunities have grown faster than non-STEMcounterparts since 2010, and employment in many STEM occupations is projected to grow [1].Recently, many pre-college programs have been developed and implemented to increase highschool students’ interest in science, technology, engineering, and mathematics (STEM). Plentifulprior studies documented the positive impacts of such outreach efforts [2], [3], [4], [5], and [6],but how students’ evaluations change during the program remained an unanswered question.This
tool was implemented in a computer science course with both in-person andonline sections. Analysis of collaboration metrics – such as role adherence, role rotation, andteam consistency – revealed positive outcomes across both formats. These findings demonstratethe tool’s potential to foster effective and equitable collaboration in diverse learningenvironments. Future work will examine its impact on students’ sense of belonging andcollaborative learning outcomes.1 IntroductionCollaborative learning has been shown to improve students’ sense of belonging [1], learningoutcomes [2], and retention by increasing engagement and working memory resources [3].However, the benefits of collaboration can diminish when effort distribution is inequitable
54students. The College was committed to science education since its inception. Laboratoryfacilities were continually expanded through the 1920s. See Figure 1. Figure 1: Douglass Chemistry Lab, Rutgers University, 1920Since 1986, the Douglass Women in Science and Engineering program (WiSE, originally namedthe Douglass Project for Women in STEM) has formally supported the advancement ofundergraduate STEM students at Rutgers University. Today By co-enrolling at Douglass and aRutgers academic school, students experience a small college atmosphere and programs thatempower their academic excellence and leadership development while engaging with all the richeducational resources of Rutgers University. Over half of Douglass’ enrollment consists ofSTEM
-school participants as part of the [Program name]. The curriculum aims to create a holistic impression of the rising semiconductor and microelectronics ecosystem, building basic capacities and skills to develop a more competent future workforce in the US. The content is organized into 5 units integrating electronics, design, and social awareness. We adopt a STEAM education approach to emphasize the life cycle of microelectronics. In the last two days of the program, the participants integrated their learnings through a design project using microcontrollers to address social needs. Three units are included in this exchange.Unit 1: Introduction to Circuits (Not included)Unit 2: The micro:bit Shuffle – Intro to Microcontrollers
minimizes on-the-job-training and allows the workplace to maximize the productivity of newhires that have the necessary skills to integrate seamlessly and almost immediately into theirworkplace. The academia-to-industry skills gap in engineering has existed for many years,specifically in the areas of communication, collaboration, professionalism, project management,etc., which are collectively called professional skills [1], [2]. Professional skills in engineeringcan be defined as the skills needed to succeed in the engineering industry such as employabilityskills, leadership skills, interpersonal skills, organization skills, emotional intelligence skills, etc.The term “soft skills” was first referenced for engineering education in 1918 by Charles
, and leadership within academic institutions [1-4]. In engineering, where rapid technological advancements and interdisciplinary integrationcontinually occur, professional growth is essential [3]. The need for faculty professionaldevelopment has been increasing in importance, particularly with changes in accreditationstandards, continual evolution in student demographics, advancements in learning technologies,and the progression that has been made within the scholarship of teaching and learning field [3].In support of this recognized need, engineering professional associations have created networksthat focus on faculty development, such as the ASEE Faculty Development Division and thePOD Science, Technology, Engineering, and Mathematics (STEM
creating userstories–short and simple product feature descriptions written from the user’s perspective–for theproduct they would later develop in the final project. The final phase of the study leverages thefinal project, conducted within the Scrum framework, where user stories are implemented asproduct increments.IntroductionAgile methodologies are transforming how today’s products are developed, delivered andupdated, particularly in dynamic and innovation-driven industries [1, 2]. In contrast to Waterfallmethodologies, a traditional sequential project management approach where each phase must becompleted before moving on to the next, Agile methodologies prioritize incremental and iterativedevelopment, flexibility, and collaboration, allowing for
theclassroom [15]. Studies have further identified visual cuing as an effective instructional methodthat promotes learning at faster rates [1], [5], [6], [7], [8], [12], [16]. De Koning et al reportedhigher academic performance due to visual cuing, while Marquez and Garcia reported that visualsupplements enhanced student comprehension of complex engineering concepts [14].An alternative resource utilized by undergraduate engineering students is partaking in researchopportunities given its short- and long-term benefits [6], [8], [4]. According to literature findings,53% of students majoring in STEM majors are involved in research activities [5], [6], [7], [8], [13].Carter et al and Gregerman reported significant research and professional confidence by
and prioritize resources effectively by transformingdata into actional information. This pivot toward integrating digital information into highereducation administration has been motivated by several considerations to include emergingtechnological innovations and evolving labor market demands [1]-[2]. Communicating dataeffectively can be challenging in higher education, where typical business metrics such asrevenue, cost, and hours, among others may not have analogs.The term Business Intelligence (BI) has been used for nearly four decades, evolving fromtraditional industries into higher education. It is a technology driven process of gathering andanalyzing data that is organized and portrayed as actionable information to help leaders
Sciences, Tecnol´ogico de Monterrey. He holds a Bachelor’s in Mechatronics Engineering, a Master’s in Manufacturing Systems, and a Ph.D. in Engineering Sciences from Tecnol´ogico de Monterrey. He is part of the Research Group of Industrial Transformation and a member of the National Research System (SNI) at Level 1. His research focuses on Additive Manufacturing, Manufacturing Systems Automation, Robotics, Educational Innovation, Advanced Materials, and Medical Devices.Ing. F´elix Mart´ınez-Jim´enez, Tecnologico de Monterrey, School of Engineering and Sciences F´elix Mart´ınez-Jim´enez is a Master of Science in Engineering student at Tecnol´ogico de Monterrey. He holds a B.S. in Mechatronics Engineering from Tecnol´ogico de
assess the responses to physical and environmental stimuli. In this project, he will lead multimodal behavioral data collection, processing, and analyses to assess children’s learning and affective behaviors. ©American Society for Engineering Education, 2025NSF ITEST: A Data-Driven Approach to Understanding ComputationalThinking in Children: Embodied Learning with Augmented Reality and aSocial Robot1. IntroductionComputational thinking plays a vital role in the development of young children, serving as a keybuilding block for their academic and cognitive growth [1]. It is a structured way of problem-solving that involves breaking down tasks, recognizing patterns, developing logical sequences,and finding
StudentsFirst-year engineering students face challenges transitioning from high school to college. Thesechallenges may be derived from higher academic expectations, financial needs, major declaration,and college life familiarization [1-4]. Higher education institutions have developed their first-yearengineering curriculum with a broad perspective that welcomes students and allows them to accessrelevant information and essential college resources to succeed in their chosen engineeringdiscipline. To enhance the first-year learning experience of engineering students at a Hispanic-serving institution, Golding et al. [5] proposed a new design strategy derived from core values,including leadership, innovation, collaboration, and autonomy, to revamp
topics (performance expectations, collaboration andplanning, skill development, problem solving, and evaluation) across the reports from bothInstitutions and were reported by the authors in a previous publication [1].Building on this work, the authors repeated the analysis techniques on the data collected duringthe subsequent project offering. Additionally, the authors used the themes identified from theinitial offering to train a classifier. The classifier was used to label and categorize the studentreflections from the second cohort based on the themes uncovered or “learned” when analyzingthe first cohort of responses.By replicating the previously reported analyses and using the previous work as the training dataset for labeling the results
problems solving are intended to be more proficient at recognizing opportunities,drawing connections, and creating value (EngineeringUnleashed.com) [1]. The KernEntrepreneurial Engineering Network (KEEN) is a partnership of >60 colleges and universities thatseeks to infuse EM into engineering education to create best practices and train faculty. In 2020, ourNC State faculty were disengaged from the national efforts to embed EM into classroom instruction.The authors were among the first faculty (teaching and tenure-track faculty) at NC State to attemptto start the movement on campus to teach with more EM.The authors worked within the system at NC State to build a coalition to become a KEEN partnerschool. NC State has had an excellent
knowledge andskills to respond to technological advancements, societal shifts, and changing expectations.Higher education institutions must also respond and adapt to these changes by supporting thedevelopment of the skills and competencies essential for student success and problem-solvingin this dynamic environment. Among these skills, we focus on engineering judgment as a criticalcapability for mindfully addressing complex, real-world problems. Recognizing its importance,ABET has emphasized the development of engineering judgment in two of its StudentOutcomes, highlighting the need for strategic educational approaches [1]. Engineering judgment involves making informed decisions in complex and uncertainsituations, often leveraging a
. I have critically analyzed my self-reflections and evaluations to assess my personal andprofessional growth as an instructor over the last three years. In this paper, I present the results ofmy critical self-reflection through a set of lessons learned and how my teaching philosophy hasevolved, including improvements in teaching skills, time management, career development, andDiversity, equity, and inclusion (DEI) in the classroom. Based on my personal experience, thispaper aims to share a journal with peers who are interested in teaching while pursuing a Ph.D.degree and to bridge the teaching experience with career development.Keywords: self-reflection, graduate student instructors, improvement of teaching skills 1. Introduction