, Tufts University ©American Society for Engineering Education, 2025 CAREER: An Integrated Framework for Examining Contextual Influences on Faculty Pedagogical Decision Making and Student Learning in Design EducationIntroductionRecently, the ways that emerging technologies, such as generative AI, social media algorithms,and predictive analytics, reflect, propagate, and exacerbate systems of inequality has made theimpact of engineering decisions on people and society an issue of national importance [1-2]. As aresult, scholars have called on engineering educators to facilitate learning experiences thatchallenge engineering as a technocentric discipline towards pedagogical practices that fosterstudents
Institute (WPI) has beenactively piloting components of Culturally Responsive Teaching (CRT) to better prepare ourpre-service teachers to feel confident and excited to teach in urban, high need public schooldistricts. With the awarding of an NSF Noyce Track 1 grant, we have intentionally createdworkshops that establish foundations for CRT while thoughtfully pairing pre-practicumexperiences in our local community. Realizing the necessity to have more CRT theory, focusedexperiences, and reflections, as well as to develop and deepen CRT practices with feedback, wehave mapped out different CRT competencies and approaches throughout the TPP curriculum.New pre-practicum courses and course assignments have been developed. This paper outlinesour results in
classroom activities and curricula to broaden their students’awareness of engineering education and career pathways [1].In 2024, the College of Engineering at the University of Alabama (UA) launched an RET sitefocusing on the applications of sensing technologies for physiological and environmentalmonitoring. The selection of this theme reflects the importance of measuring the physicalquantities of materials, devices, tissues, and the environment to address research questions acrossall engineering domains. This approach aligns projects with national and state goals ofintegrating engineering design and practices into science content creation. For the first iterationof this RET, projects from electrical engineering (measuring biological tissue
). ©American Society for Engineering Education, 2025 NSF S-STEM: Developing an Ecosystem of STEM success for Built Environment Scholars Melanie Villatoro1 Muhammad Ummy1 Hamid Norouzi1 Masato Nakamura1 Daeho Kang1 1 New York City College of TechnologyAbstractThe National Science Foundation S-STEM program, Developing an Ecosystem of STEM successfor Built Environment Scholars (Award Number 2150432), focuses on supporting and developingscholars in the majors relating to the Built-Environment which include Civil EngineeringTechnology, Construction Engineering Technology, Electrical Engineering Technology,Mechanical Engineering Technology and
engineeringstudents with active, hands-on learning opportunities to enrich their education and better preparethem for their chosen careers (1-3). Chemical engineering is a multidisciplinary field of studywith a large depth and breadth of material to cover in just four short years, so learning should beboth efficient and reinforcing of basic concepts to maintain student retention and success. To better facilitate better learning outcomes in our current NSF sponsored work, our teamdeveloped several ultra-low-cost desktop learning modules (LCDLMs) which can serve as a full,unit operations experiment without need for a full laboratory budget and set up to facilitate (4-6).The more recent kits are on the order of 10” x 4” x 1” (1) meaning they can be used
belongingintervention, programming self-efficacy, and course grade for first-year engineering students.Improving the retention of undergraduate students in engineering pathways requires clearframeworks that include predictors and influences on continued enrollment in engineering courses.The persistence of Black, Latiné, or Indigenous (BLI) students remains lower than their peers anddisproportionate to the U.S. population [1]. The persistence of engineering students remains amajor concern with BLI students demonstrating disproportionate attrition in comparison to Whiteand Asian peers. This increased attrition from engineering pathways is often related to systematicexclusion and marginalization in engineering environments [2]-[5]. While some progress has
revealed strong student perceptions of the chatbot’srole in fostering critical thinking and clarifying professional obligations. These results suggest that AI-supported tools, when thoughtfully designed and aligned with instructional goals, can enhance ethicseducation in engineering. Future work will explore refining chatbot interaction styles, expandingcurricular integration, and adapting implementations across varied learning environments to supportbroader development of ethical decision-making skills.1. IntroductionEngineering Ethics and Engineering EconomyThe importance of ethical decision-making in engineering practice is widely recognized and reinforcedthrough professional standards, accreditation criteria, and licensure examinations
have varied access to influential resources [8]. In particular, disparities werenoted across racial, gender, and socioeconomic lines. Much of this prior literature hasemphasized disparities in students’ access to social capital, particularly in relation todemographic characteristics. However, the current study takes a different approach by focusingon grade-level differences in support, especially at the elementary level, which has receivedminimal attention in social capital research related to engineering education.More recently, the Undergraduate Supports Survey (USS) expanded the NRG to assessexpressive (emotional/motivational) and instrumental (academic/career) forms of support inundergraduate students’ networks [1], [2]. The current study
empowerment of system actors (faculty, staff, graduate student instructors, etc.) toadapt to changing needs and collectively achieve shared objectives that contribute to STEMstudent success [1-4]. Capacity is hard to measure, as it is only readily observable whenmobilized to address a major change initiative or crisis (e.g., when universities pivoted to onlinelearning during COVID-19.) Nonetheless, understanding STEM education capacity is essentialto understanding STEM education change from a complex systems perspective. Complexsystems theory, which pushes back on the notion that institutional change can be envisioned as achain of cause and effect between a single initiative and a lasting result [5, 6]. Rather,institutional change requires attention
experience.This project contributes to all seven ABET student outcomes, depending on how the assignmentis customized, making it a highly effective tool for both skill development and practicaleducation in mechanical design.1. IntroductionMechanical design-and-build courses at the sophomore and junior levels prepare engineeringstudents for practical applications in the field. These courses provide opportunities for hands-onlearning, where students translate theoretical knowledge into functional mechanical systems. Byengaging in design-and-build projects, students develop critical skills such as problem-solving,teamwork, and project management. However, in the face of their first function-driven designproject, it is easy for students to overlook the
Workforce Development- A Systematic Literature ReviewAbstractWhile non-degree credentials hold the potential to revolutionize access to the STEM workforceby providing more opportunities and pathways to gain relevant knowledge, skills, and abilities[1], a critical challenge to their use lies in the ways learners, academic institutions, andemployers understand and value non-degree credentialing programs. This work-in-progresspaper aims to synthesize the empirical published literature on the impact of non-degreecredentials related to STEM workforce development. This review aims to synthesize relevantinformation and develop guidelines for future research and two-year college education practicerelated to non-degreed workforce
an in-depth n=1 case study. Wepropose that problem-solving is more than just a process, and can also become a distinct personalidentity outside of traditional engineering contexts. After analyzing interviews with ProjectorMan, we found their experience with problem-solving in theater and through life challengesaided in the development of their strong engineering identity by reinforcing their engineeringinterest, performance, and self-recognition, which compensates for weaker conventional identitymarkers. Our findings highlight the potential of incorporating strategies in first-year engineeringcurriculum to help students connect non-engineering experiences to their engineering identities.Keywords: Engineering identity, identity, problem
sometimes face barriers to earning adegree. These barriers may include departmental, institutional, and national policies and thefrequency of institutional-level engagement with students [1]. One pathway includes Pre-Engineering programs, which provide essential competencies and information for students totransition to an engineering bachelor's program, considerably impacting their careers. The Pre-Engineering program helps students improve their math and science foundations, providingacademic support that can prevent them from not completing their bachelor's degree, repeatingmath subjects, or not enrolling in advanced engineering courses. School administratorsfrequently assess Pre-Engineering programs by measures such as student enrollment
trained in construction trades to aid in moreresilient post-disaster reconstruction while fostering social mobility and job equity. To achievethese goals, this study conducted a comprehensive literature review and surveyed 108engineering and construction management students from Florida International University (FIU),one of the largest minority-serving institutions (MSIs) in the United States, to (1) investigate themain challenges, impacts, and common failures of informal construction; (2) identify gaps inconstruction trade knowledge among low-income individuals and underserved communities; and(3) evaluate the most effective teaching methods and instructional tools to effectively teach tradeskills and basic construction knowledge. Civil
-adjacent fields.Course DescriptionVillanova University offers a special topics elective course in the chemical and biologicalengineering department: CHE 5332. In the Fall 2024 semester, this elective was used toimplement a new course in synthetic biology. Synthetic biology is the engineering of novelbiological systems that serve a function in society, and is a quickly growing industry that hasalready released impactful commercial products such as a cell therapy for leukemia and afertilizer alternative [1]. Indeed, synthetic biology offers novel solutions to some of the world’spressing problems, including climate change, next-generation medicines, and food production,and provides a more sustainable way of manufacturing chemicals without the need
abroad programs to provide more structured opportunities forexperiential learning, critical reflection, and actionable skill development. Emphasizing theapplication of ICC in engineering-specific contexts can better prepare students to navigatediverse teams and design solutions that address the needs of varied communities. These findingshighlight the potential for structured study abroad programs to equip engineering students withthe intercultural skills necessary for success in an increasingly globalized workforce, whereculturally sensitive problem-solving is crucial for addressing complex challenges.Keywords: Study abroad, engineering, STEM, reflection, intercultural competence 1. Background1.1 Intercultural Competence (ICC) in Higher
, administering automatically graded computer-based tests reduces the amount ofmanual grading work that they have to complete, freeing up time that can be spent with studentsor on refining course content. For students, computer-based tests may allow them to receiveimmediate feedback that can be used for improvement.To facilitate computer-based testing, several institutions have deployed computer-based testingcenters (CBTC) to handle exam administration. CBTCs reduce the cost of testing for facultybecause they offload many of the logistics associated with administering quizzes and exams: (1)proctoring is handled by dedicated CBTC staff, freeing up course instructors and other coursestaff to focus on teaching and supporting student learning; (2) students
currently widely accessible to students—into anacademic assignment focused on creative thinking, students can gain formal, facilitatedexperience in seeing both the opportunities and limitations of such tools.1. IntroductionCreativity is a crucial skill for engineering students to learn and practice so that they mightstrengthen their ability to develop novel and impactful engineering solutions and processes [1].This ability to be creative [2]—i.e., to have an idea and bring it to be—is beneficial in a varietyof disciplines and professional contexts. Engineering programs can provide students with theopportunity to practice being creative by offering standalone courses in creativity and innovationas well as through incorporating creativity techniques
engineering programs who are accredited by theAccreditation Board for Engineering and Technology (ABET). ABET Outcome 5 of the sevenstudent outcomes states that graduating engineering students should attain, “an ability to functioneffectively on a team whose members together provide leadership, create a collaborative andinclusive environment, establish goals, plan tasks, and meet objectives [1].” Therefore, it isimperative for the University of Pittsburgh engineering programs to engage their students ineffective teamwork throughout their undergraduate education.Teamwork is important in interdisciplinary projects as it brings diverse ideas, skills, andapproaches together. Likewise, different students have different skills, and their personal trialsand
StudentsIntroductionUndergraduate engineering students experience stressful life events before and during theircollegiate years that impact their wellbeing. The nature and extent of the events can result insignificant and sustained stress that has lasting deleterious effects. Jensen and Cross [1] foundthat undergraduate engineering students experience high levels of stress, anxiety, and depression,suggesting a potential mental health crisis in higher education institutions. Asghar et al. [2]established that stress in undergraduate engineering dampens students' motivation for learningdue to heavy academic workload, while also indicating that further work is needed to determinethe prevalence and impact of these experiences.In engineering, negative academic experiences add
introductory Engineering courses.1 IntroductionMetacognition refers to the self-regulation process that learners can use to measure their ownunderstanding and, thus, how effectively they are studying. Researchers have identified twolevels of metacognition: knowledge and regulation. The level of Knowledge entails knowingfacts about oneself and the demands of the task, procedural knowledge on strategies pertain-ing to the task, and knowing which strategies to apply in different situations. Regulationrefers to students’ ability to plan, monitor, and evaluate the effectiveness of their strategiesas well as debug when facing difficulties[4, 11].Metacognition skills have been shown to help students perform better academically[2, 3, 5, 6].Moreover, lack
SAFO - aframework for teaching introductory systems thinking in first-year STEM education. We refine arubric useful for assessing systems thinking, and present initial results from applying this rubricto structured case work involving collaborative problem-solving. Finally, we discuss thepotential of applying SAFO as a research tool to compare variations of interdisciplinarity andcomplexity in collaborative problem-solving in STEM.IntroductionSystems thinking is a higher order thinking skill important for addressing complex, real-worldproblems in STEM [1-3]. Systems thinking can be assessed in a multitude of ways, includingrubrics, open- and close-ended tools, scenarios, mapping and coding schemes, and more,depending on the focus and field of
-dictive power on performance outcomes. Finally, we call for continued empirical research on theefficacy of LLM-based technologies in STEM education and propose future research directions inexploring their impact on teaching and learning.1 IntroductionThe introduction of OpenAI’s ChatGPT in November 2022 [1] triggered an unprecedented surgeof interest in applications of artificial intelligence (AI) based on Large Language Models (LLMs)and their underlying transformer architecture.In particular, LLMs appear to be exceptional in applications that involve human interaction, infor-mation retrieval, and summation, making them an attractive prospect for improving the effective-ness and accessibility of education in the digital age [2, 3, 4]. However
International Organization for Standardization (ISO), “standards are thedistilled wisdom of people with expertise in their subject matter and who know the needs of theorganizations they represent—people such as manufacturers, sellers, buyers, customers, tradeassociations, users, or regulators” [1]. Similarly, Thompson defines standards as an agreed wayof doing something consistently to ensure safety and quality [2]. Codes, on the other hand, aresets of guidelines that define standards for the planning, construction, and maintenance ofstructures. These are typically categorized into safety standards and product standards [3].Specifications provide detailed requirements for components, products, systems, and services,ensuring they meet the necessary
pursuits include engineering education research, adaptive, blended, and flipped learning, open courseware development, composite materials mechanics, and examining the future of higher education. His research has received funding from the National Science Foundation, Air Force Office of Scientific Research, Florida Department of Transportation, and Wright Patterson Air Force Base. Supported by the National Science Foundation, Kaw has led a national collaboration to develop, implement, refine, and assess online resources for open courseware in Numerical Methods (http://nm.MathForCollege.com). These resources gather over 1 million page views annually and 1.6 million YouTube lecture views, attracting more than 90,000
State University (WSU) modelfor engineering mathematics. The WSU approach to engineering mathematics uses anapplication-oriented, hands-on approach which focuses on only the math topics used in coreengineering courses and is taught by engineering faculty [1].Traditionally the course structure at our university includes lectures, studio and lab. The lectureis one hour per week and introduces mathematical concepts as well as describing their relevanceto engineering problems. The studio time is two hours per week and offers collaborativeproblem-solving sessions where students practice applying mathematical concepts to engineeringscenarios. The lab sessions are two hours per week. The labs provide hands-on experience withexperiments and
-12 STEM education, advance engineering workforce development, and foster inclusive practices in engineering education.Adesikeola Olateru-Olagbegi, University of North Dakota ©American Society for Engineering Education, 2025 Exploring Teachers’ Lived Experiences with Culturally Relevant Engineering Design: An Instrumental Multiple Case Study (Work in Progress)PurposeThe Next Generation Science Standards (NGSS) [1] emphasize connecting science andengineering to local contexts so that standards are relevant for all students. Yet many teachers lacksufficient training or self-efficacy (SE) with implementing engineering education, leading tosuperficial or
Flipped Classroom Applications in Engineering EducationThe flipped classroom model has emerged as a transformative approach in engineering education,addressing limitations of traditional teaching methods 1. By shifting theoretical content delivery topre-class activities and dedicating class time to active learning, this model fosters deeperengagement, better conceptual understanding, and enhanced collaborative skills. Studies haveshown its effectiveness across various engineering disciplines, including mechanical engineeringcourses such as statics 2 , rigid body dynamics 3 , and thermodynamics 4 . Bishop and Verlegerhighlighted that flipped classrooms promote active learning, enabling students to tackle problem-solving and design challenges
theprocess of analyzing the polarity of qualitative feedback, categorizing comments as positive,negative, or neutral, Sentiment Analysis can provide a more efficient and scalable way tointerpret and utilize open-ended student responses. This paper explores the application ofSentiment Analysis to course evaluations, specifically using a pre-trained model namedDistilRoBERTa to analyze student comments and derive meaningful insights about teachingeffectiveness and course quality. 1 The goal of this research is to develop a methodology that allows for a quantitativeassessment of the sentiment expressed in qualitative course evaluations, thereby complementingtraditional quantitative ratings. By
socioeconomic factors [1].Title I students often experience a deficit in resources and exposure to post-secondary educationpreparation; the lack of exposure can leave students unaware of the college process as well asunprepared for future careers and classes [1]. This can lead Title I students to being heavilydisadvantaged regarding college readiness when compared to higher-income schools.Understanding the difference between low and high SES will give us a better perspective on theeffects of low income vs. poor educational structure.Research has found that exposing more Title I students to engineering can boost their confidence[2]. Understanding students’ perceptions on engineering from Title I and non-Title I (low andhigh SES) will show how effective