. ©American Society for Engineering Education, 2025Introduction There is a need for biomedical engineers to address health disparities (HD), which aredefined as preventable health differences among historically marginalized groups (i.e., racial andethnic minorities, women, rural communities, low-income individuals, older adults, etc.). Amyriad of problems create HD, such as economic factors, healthcare access, environmentalfactors, education, and poor quality of care [1]-[4]. Although significant progress has been madetowards improving people’s health and well-being, the severity of the COVID-19 pandemic andworld crises have further widened HD [5]. Biomedical Engineering (BME), which has alwaysplayed a key role in the healthcare system
repeating the activity is providedfor teachers and practitioners. This paper explores the development of the “Pack for Space”activity.IntroductionEngineering outreach activities seek to increase interest in engineering as a future career [1].Outreach activities outside of school have been shown to be effective in increasing engagementin Science, Technology, Engineering, and Math (STEM) [2]. Outreach activities are important asnot all schools have access to STEM coursework and after school STEM programs have beenshown to be more expensive than non-STEM programs [3]. STEM outreach involves andimpacts many different groups including the students themselves, administrators, outreachproviders, parents and guardians, universities, K-12 schools
’ experiences. Currently, the analysis is in the data familiarizationstage. The expected results include increased self-efficacy and an emphasis on the importance ofan engaged supervisor for developing student’s career interests.1 IntroductionThis case study focused on a six-week summer internship program that occurred in WashingtonD.C. during the summer of 2024. The program of interest for this work is called the Career ReadyInternships (CRI) program and occurs as an optional work-based learning (WBL) opportunity forhigh school students in Washington DC who are enrolled in a Career and Technical Education(CTE) program of study (POS). The program shares similar elements with both summer bridgeprograms and summer youth employment programs (SYEPs
1Engineering Just Futures: Preparing Engineers to Integrate Technical, Sociocultural, and Environmental Perspectives [Work in Progress]Engineers of the future need to not only be technically skilled but also able to address complexproblems that include social, cultural, ethical, and environmental dimensions. Undergraduateengineering education therefore needs to prioritize the diverse skills needed for complex problem-solving practice [1]-[3]. Traditionally, undergraduate engineering education programs havefocused on technical training in the engineering sciences, to the exclusion of broader concerns [4]-[6]. There are, however, a growing number of programs that aim to expand engagement withsocial, cultural, and environmental
evaluations, the study aims toprovide a comprehensive assessment of team effectiveness, highlighting areas for growth forindividual students. The findings suggest that this approach not only increases the efficiency ofthe evaluation process, but also possibly improves student engagement, and the overall quality ofteamwork amongst student groups.IntroductionA language can be defined as a system of rules or symbols that combine to express or broadcastinformation, ultimately shaping how we perceive and communicate within different culturalcontexts [1]. Because not all users are familiar with machine-specific languages, NaturalLanguage Processing (NLP) has emerged as a subfield of Artificial Intelligence (AI) that enablescomputers to understand
total student loan debt reached approximately $1.75 trillion in theUnited States, affecting nearly 45 million borrowers [1]. The constant pressure to performwell in order to secure a job takes a toll on graduate students studying master’s level courses inengineering, dependent on student loans. Under the burden of student loans, the experiences offinancial anxiety and financial stress naturally occur and affect the financial well-being ofstudents. This study focuses on graduate students in engineering, with a specific focuson master’s level students, experiencing financial stress and financial anxiety due to hightuition fees, room, board, books, supplies, and transportation, among other expenses. Often,very few of them manage to obtain
success inengineering.Examining the impact of the student's self-efficacy factors on first-year engineering students willhelp increase success in engineering design curriculum. As students start University, it has becomemore apparent that education has evolved in the last few years, primarily due to the COVID-19pandemic [1]. To better understand these changes, educators need to evaluate incoming studentprofiles and track their success across their degree programs. Factors such as studentdemographics, self-efficacy, and prior experiences related to their degree field can produce anincreased understanding of the impact of cornerstone courses. Each student enters the Universitywith different backgrounds and experiences, and we want to evaluate if
mechanical and civil engineeringstudents that build the foundation to be able to analyze and design a system that is at rest(Statics) and in motion (Dynamics). Thus, these courses serve as a prerequisite for manyupper-level engineering courses in most universities; however, high drop-out rates in Statics andDynamics are widely reported [1], [2].From 2016-2024, the David L. Hirschfeld Department of Engineering at Angelo State Universityhas internally examined the DFW rate (percentage of total students receiving a grade of D or F orWithdrawing from a course), particularly in foundational courses typically taken in the students’first two years of the program. Table 1 summarizes the results.Following the completion of Statics and Dynamics, anecdotal
entertainment video games with engineering-relevant gameplay into the curriculumcan engage students and enhance proficiency in machine design. 1. IntroductionStudent motivation refers to the internal drive, enthusiasm, and determination that compelstudents to engage in learning activities, achieve their academic goals, and overcome challenges.Among college students, motivation plays a critical role in shaping their academic performance,persistence, and overall success in their educational journey [1], [2].Motivation plays a pivotal role in the academic journey of engineering students, significantlyinfluencing their learning outcomes, performance, and graduation rates [3]. Intrinsic motivation,characterized by a genuine interest in engineering
forstronger cybersecurity measures to avert future threats and prevent disruptions in the operationsof critical infrastructures [1]. Advanced Persistent threat is another attack that can cause severedamage to critical infrastructure due to its stealthy, dynamic, and adaptive nature [2]. Databreaches have been on the rise for several years, and sadly, this trend isn’t slowing down. Databreaches have affected companies and organizations of all shapes, sizes, and sectors such asApple, Meta, Twitter, T-Mobile, Colonial Pipeline, and they are costing US businessesmillions in damages [3], According to Cybersecurity Ventures, the global annual cost ofcybercrime is predicted to reach $9.5 trillion USD in 2024. Compounding this is the rising costof damages
, andmanufacturing engineering, providing students practical experience is essential to developing theskills needed for the present-day engineering sectors. To this end, adopting educational lab kitspresents an effective means to address ongoing challenges with resource accessibility and studentengagement [1], [2].Despite advancements in fluid power education, traditional laboratory practices face challengesin engaging students and fostering meaningful learning. Students often approach labs withexternal motivations, such as completing tasks quickly or achieving high grades, resulting insurface-level engagement where they prioritize finishing experiments over understandingprinciples [3], [4]. Traditional labs rely on structured tasks with predetermined
terminology, definitions and descriptions ofcommonly used GAI tools.BackgroundGAI is a subset of AI that produces novel content by learning patterns from its training data.Unlike traditional AI – primarily machine learning (ML) models- GAI differs in key aspects suchas purpose, learning approach, and output. Traditional AI focuses on performing specific tasksusing programmed rules, often relies on supervised learning, and generates pre-defined or task-specific outputs (e.g. price prediction, fraud detection). In contrast, GAI is characterized bythree main features: (1) taking complex, varied and preferably nuanced prompts, (2) using deeplearning models, and (3) creating new data [1]. One of the most common applications of GAIinvolves processing
undergraduate OS courses is usingsimulations. Although these simulations do not address the challenges surrounding low-level Cprogramming, they can help make complex, abstract topics more concrete and easier tounderstand, thereby giving students a more stable foundation from which to startprogramming.To aid students in learning CPU scheduling policies, we built GraySim, an interactive simulationthat allows students to practice their understanding of CPU scheduling policies and receiverelevant feedback. We then conducted a qualitative study on GraySim to obtain feedback fromstudents who had recently completed an undergraduate OS course regarding whether theybelieved the simulation would have been effective in the classroom [1]. The results
goals but also effectively prepare students for successfulcareers in their chosen fields.IntroductionABET accreditation [1] is a mark of distinction and quality assurance for programs in appliedscience, computing, engineering, and engineering technology. It signifies that a program meetsthe rigorous standards set by ABET, ensuring that graduates are prepared to enter theirprofessions with the skills and knowledge needed to succeed. ABET accreditation is globallyrecognized as a symbol of quality in technical education.ABET SOs are specific, measurable statements that describe what students are expected to knowand be able to do by the time they graduate from an ABET-accredited program. These outcomescover a broad range of skills, including
tobe adopted throughout the United States [1]. The integration of engineering design is used toteach engineering content and engineering practices [2], [3]. Working through an engineeringdesign process requires students to understand engineering design challenges by gatheringrelevant information, generating ideas for possible design solutions, and using an iterativeprocess to achieve an optimal solution.Idea generation is an engineering practices associated with the students’ ability to generatedesign ideas to solve engineering challenges [4]. The importance of improving students’proficiency with idea generation is considered as an important pillar of engineering education byboth researchers and governing bodies [5], [6]. Research on K-16
, self-efficacy, opportunities for professionaldevelopment, academic support etc. have significant influence on retention in Science, Technology,Engineering and Mathematics (STEM) as well as increases to the STEM workforce[1], [2]. These factors havebeen found especially compounding in historically underrepresented groups in STEM fields, includingEngineering[3]. Research Experiences for Undergraduates (REU) internship programs partner with nationallaboratories, principal investigators (PI’s), graduate mentors and STEM student groups to assess, explore andexamine science, technology engineering and mathematics (STEM) topics. Such a program is curatedintentionally to retain and increase the STEM workforce by addressing the challenges faced by STEM
whose main tasks are (1) to actively initiate communication with students whoare at risk of failing the course, (2) to identify issues with the students (3) to take actionaccording to the type of issue that the student is facing, (4) to follow up cases, untilresolution. A student followup software (SFS) is used by the WTAs to track and follow upeach contacted student. The SFS also allows recording the time, length and type of each case.In previous publications, we have shown that WTAs are positively evaluated by students andwe have analyzed the type of interactions between WTAs and students. In this paper, weconsider a new question: what are the conditions that determine the need for a WTA in aspecific course?. We present progress towards
theories, aiming for transformational change. I also extensively (formally and informally) mentor students with multi-marginalized identities. ©American Society for Engineering Education, 2025 1WIP: Leveraging AI for Literature Reviews: A Guide for New ResearchersThe importance of conducting a comprehensive literature review cannot be overstated, as itserves multiple purposes: summarizing a field to identify future research directions, findingevidence to support results and discussions, and breaking barriers in interdisciplinary studies [1].This process is time-consuming and demands significant effort and training to
analyze thecollected data for assessment and intervention. The goal is to streamline the data collection andvisualization, allowing teachers and students to navigate the collected data, assess the currenttrends in data, and identify opportunities for intervention.IntroductionIndoor environmental quality (IEQ) refers to the conditions inside buildings that directly impactthe health and well-being of their occupants. Key factors influencing IEQ include indoor airquality (IAQ) [1], thermal comfort [2], lighting quality [3], [4], [5] and acoustics [6]. However, abuilding with poor IEQ can lead to health problems, increasing the risk of Asthma, allergies,fatigue, and loss of concentration [7].The IEQ is affected by the outdoor environment, such as
work in the aerospace industry insouthern California, and hold a degree in a STEM related field. Restrictions were not placed onundergraduate institution attended or the specific major studied to allow for analysis of uniqueperspectives and to enable the formation of recommendations that are applicable to moreuniversities. The researchers interviewed individuals from seven different aerospace companies,again, to ensure the results of this study are relevant to multiple workplaces. In total, threefemale engineers and ten male engineers will be included by the end of this study. Sevenengineers have been interviewed to date. General participant identifiers are tabulated in Table 1. Interviewee Undergraduate Major, Institution
Computing Education: Research Landscape Over the Past Decade Introduction The construct of sense of belonging (SB) has garnered significant scholarly attention in thefields of engineering and computing education in recent years, reflecting a growing awareness ofits pivotal role in shaping student success and well-being. This surge of interest aligns with broadertrends observed in STEM education, where SB has emerged as a crucial factor in fosteringinclusive learning environments and promoting academic persistence [1]. However, the rapidproliferation of research in this domain has revealed several areas in need of further explorationand synthesis, particularly in generating knowledge on
. Thiswork is part of an ongoing NSF-IUSE Learning Map project piloted during the spring and fallsemesters of 2024. The LMap method briefly described below is rooted in the Analysis, Design,Development, Implementation, and Evaluation (ADDIE) model [1] and Backward Design [2, 3]and applied to the design of course sequences that align learning outcomes, assessments, andinstructional practices. We report here the current results of implementing and testing the newStatics Knowledge Inventory. A. BackgroundStudent success in engineering education depends on their performance in prerequisite coursesequences, which require the ability to retain and transfer knowledge and skills across courses.Incomplete knowledge transfer in foundational courses like
ff fi ff ff ff Food science and engineering as a gateway to engineering in general and chemical engineering in particular has been implemented by a number of colleagues, for example [1-4]. The current course has a few distinct elements that separate it from the examples cited. First, it is designed as a general education course for non-majors, not an introduction to the chemical engineering (or engineering in
curriculum[1]. As a result ofambiguity in their academic training, it has been reported that BME graduates can experiencebarriers to career attainment as compared to those majoring in other engineering disciplines[2],[3].In light of these barriers, many students pursue a BME master’s program to gain deeperknowledge into a specific sub-field of BME and learn new skills associated with this subfield[4].This enhanced knowledge can help students attain their career goals, whether it is advancementin industry positions or pursuing advanced degrees such as the MD and PhD. However, there is agap between the knowledge and skills BME master’s graduates gain during graduate study andthe expectations of potential employers in both industry and academia
. Ahmed5,7, Raymond B. Bako6,7, Akinlolu Akande2,3 1 Department of Mechanical Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria2 Mathematical Modelling and Intelligent Systems for Health and Environment Research Group, School of Science, Atlantic Technological University, Sligo, F91 YW50, Ireland. 3 Modelling and Computation for Health and Society, Atlantic Technological University, Sligo, F91 YW50, Ireland. 4 Department of Civil Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria 5 Department of Chemical Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria 6 Department of Educational
instructor's or student's interests, ultimately neglecting the development ofintegrated engineering design problem-solving skills.This study adopts a design-based research (DBR) [1] approach to investigate barriers to teachingand learning integrated design practice in engineering education, redesigning a target course totest for improved effectiveness. Initial course observations revealed that developing reflectivepractice is critical yet often overlooked in cultivating intentional engineering designers. Activereflection is essential for both technical and creative applications throughout the design process,enabling students to uncover opportunities, evaluate decisions, anticipate challenges, and adaptapproaches. The study sought to embed formative
groupmeetings and analyzed using inductive and deductive thematic analysis. Our results indicate thatthe participants found ClearMind both useful and easy to use, with many expressing a willingnessto continue using it and recommend it to others. Feedback from this study sheds light on how torefine its features to better align with students’ academic needs. Future work will involveconducting a large-scale quantitative study, in order to further evaluate its effectiveness inreducing academic procrastination and its long-term impact on academic performance.1 IntroductionProcrastination is commonly defined as ‘the act of needlessly delaying tasks to the point ofexperiencing subjective discomfort’ [1]. Procrastination is detrimental to many
key totechnological progress, infrastructure creation, and national security. However, literaturesuggests there is an emerging gap — demand for engineers exceeding supply. A recentgovernment science and engineering indicator report [1] shows that although the U.S. still leadsin R&D, its share of the global STEM workforce is shrinking because of growing internationalcompetition, particularly from Asia. Within industry, there is a need to develop engineering leadership who can facilitate theinnovation and competitiveness necessary to improve the United States’ competitiveness abroad[2]. Concepts such as leadership in learning organizations and its role in industrial innovationand competitiveness are discussed by Peter Senge [3]. Senge
3D printer modeled with lessefficiency (more overall CAD features to achieve the same final model) compared to the ControlCondition. In addition, correlations exist between prior manufacturing experience and theirmodeling behaviors overall, regardless of condition. This work demonstrates how exposure tomanufacturing processes early in an undergraduate engineering program can impact students’CAD behaviors and design efficiency.1. INTRODUCTIONComputer-Aided Design (CAD), as well as Computer-Aided Manufacturing (CAM), areessential skills for the modern engineer. Within an undergraduate degree program, theseprinciples and applied knowledge are skills every graduating engineer should possess. As such,CAD and CAM courses are built into the core
includes the following components: 1) in-lecture discussionsof specific healthcare disparities and inequities that exist that relate to the organ system beingdiscussed, 2) discussion questions designed to help students learn to socially contextualizetechnical problems in BME, 3) three equity and ethics assignments, and 4) two team projects: a)one asking teams to design a brain computer interface and address any potential disparities orsocietal impacts that may results and b) one asking teams to develop and engaging andinformative infographic about a specific healthcare disparity. A sequential mixed-methods pre-and post-semester approach employing quantitative and qualitative methods was used to assess teeffectiveness of this curriculum. Results