Pathway, Engineering workforce, GenderDisparities, Academic and Social Adjustment1. Introduction1.1 Significance. The vertical transfer pathway, where students begin at community colleges andthen transfer to four-year institutions, constitutes 12% to 17% of all engineering bachelor's degreesawarded annually [1]. Compared to traditional engineering students, Black and Hispanic studentsare more highly represented among engineering community college and transfer students [1]. Thevertical transfer pathway is crucial for promoting social and economic mobility by providingaffordable access to high-demand engineering careers, especially for lower-income students [2],[3]. Therefore, understanding this important student population is essential to
Engineering at Rutgers University. During the last year at Rutgers University, she led the efforts of the university advancing the careers in STEM for women at Rutgers as an Associate Vice President of the University. Dr. Ierapetritou’s research focuses on the following areas: 1) process operations; 2) design and synthesis of flexible production systems with emphasis on pharmaceutical manufacturing; 3) energy and sustainability process modeling and operations, including biomass conversion and plastics upcycling, and recycling; and 4) modeling of biopharmaceutical production. Her research is supported by several federal (FDA, NIH, NSF, ONR, NASA, DOE) and industrial (BMS, J&J, GSK, PSE, Bosch, Eli Lilly) grants. Among
its importance, limited research focuses on improvingengineering students' problem-solving skills. One reason for this is the demanding technicalcurriculum that fills much of students’ schedules, leaving little time for targeted development ofproblem-solving strategies. As a result, problem-solving is often included as part of broaderengineering courses rather than being explicitly taught and practiced as a specific skill.At the same time, research has shown that engineering students face higher stress levels, puttingthem at significant risk of mental illness compared to the general population [1], [2]. For thisreason, mindfulness has been integrated into engineering education, initially to support mentalwell-being. Subsequent studies have
inclusive teaching framework that improves learning for all students by providingmultiple means of engagement, representation, and expression. It emphasizes flexible approaches,such as offering content in various formats (e.g., text, audio, video) and diverse assessmentmethods to accommodate different needs, particularly benefiting students with disabilities (SWD).Prior research has explored various ways to apply UDL principles in STEM education. Forexample, researchers have developed digital note systems that automatically generate accessiblecontent from lecture videos, combining text, images, image descriptions, and hyperlinks, andallowing instructor customization [1]. These tools have shown promise in improving both contentaccessibility and
OutIntroductionThis paper is focused on the methodology to inspire students to have an earnest aspiration forexperiential learning [1] and to introduce them to new materials characterization techniques througha balanced combination of project-based learning (PBL)[2] and project-led education (PLE)[3]. ThePBL methodology is widely adopted, researched, assessed, and continuously adjusted to newrealities and societal inquiries [4-6]. The method was expanded and reviewed with an emphasis onthe development and acquisition of learning, experimental, and communication skills, practicaldimensions of learning, and relevance to the society in which the students live [7-9]. Here, theadoption of a balanced combination of PBL and PLE was motivated by challenges
Education, 2025 “No one has asked me before”: Reflections on understanding compassion fatigue among computer science researchers, teachers and advocates (Work in Progress)Abstract:The purpose of this Work In Progress paper is twofold: 1) to share the story of the evolution ofour research to rehumanize our community of computing education researchers and educatorsand 2) to share our research findings examining the ways in which people are attending to theirown whole humanness as to continue showing up and working toward liberation day after day.What began as a focus on how teams use data to inform equitable programs, policies andpractices with a lens on intrateam power dynamics and representation, shifted to
participants signed theconsent form before participating.Theoretical Framework and Interview Protocol Development. The development of ourinterview protocol was informed by the Self-Regulated Learning (SRL) theory of motivation(Pintrich, 2004; Pintrich & Zusho, 2002; St. Clair, 1999; Sund & Bignoux, 2018), which providesa framework for understanding students’ decision-making processes regarding class attendance.SRL theory (Figure A.1) posits that learners are active agents who set goals, employ strategies,and navigate challenges to achieve desired outcomes, even in the face of setbacks and challenges(Pintrich, 2004; Pintrich & Zusho, 2002). As students self-regulate, they develop a sense of agency(Kipp & Clark, 2022; Pintrich, 2004
this process. However, manual grading systems facesignificant challenges, including grading inconsistencies, limited feedback, and a substantialburden on human resources. Ensuring consistency across a large team of TAs and deliveringtimely, meaningful feedback to students have become increasingly difficult under theseconstraints. The field of Natural Language has seen robust progress over the past few decades, drivenby advancements in deep learning, computational resources, and the availability of large data [1].Progress in the field of NLP dates back to 1950 when researchers at IBM and GeorgetownUniversity developed a system and successfully converted the collection of phrases from Russianto English [2]. Pioneering work, such as
Ye is a professor of the Institute of China’s Science Technology and Education Policy, Zhejiang University. His research interests include Engineering Education, Science Technology and Education Policy. ©American Society for Engineering Education, 2025 How to Cultivate Digital Engineering Management Talents: A Case on the “Digital Intelligence Innovation and Management” Engineering Doctoral Program1 IntroductionIn the current context of the world’s comprehensive promotion of digitaltransformation, improving the digital literacy and skills of talents is the top priority ofquality education in higher education[1]. In 2022, China released the world’s firsthigher education
education and leadership opportunities for marginalized communities,empowering underrepresented groups to break barriers and drive progress [1], [2]. For women inengineering at HBCUs, this mission holds profound personal and professional implications. Thesewomen navigate a dual identity - pioneering as trailblazers in engineering while contending withsystemic challenges tied to gender and cultural identity in predominantly male-dominated spaces.This study investigates the motivations, challenges, and future aspirations of self-identified womenin engineering at one of the nation’s oldest HBCUs. By examining their lived experiences, thisresearch seeks to uncover the factors driving their pursuit of engineering, the hurdles they face,and the ambitions
educational environments, replacing themwith those focused on serving students and transforming institutions. Addressing disparities incomputing and engineering has been a sustained issue of national concern [1], however littleprogress has been made [2] [3]. Hispanic-Serving Institutions (HSIs)—defined by 25% or moreenrollment of Latinx students—can play an important role in increasing the participation ofLatinx and other minoritized populations since more than a third of the nation’s Latinx CSbaccalaureates are awarded by HSIs [3]. Despite constrained access to funding, HSIs alsoeducate a broad range of students from all racial/ethnic backgrounds, as well as first-generationcollege, and low-income students [4], [5]. Because the HSI
, respiration, cloud simulation, pipe flow, and flight. Thematically-orientedprompts in labels and interactives invite literal and metaphorical connections between scientificphenomena and the audience (Fig. 1b, 1d, 2b, and 2c). For example, in the first TGFM18,Chaosmosis, a video shed lights on the airflow of an opera singer during singing (Fig. 1a), whilea 3D-printed sculpture reveals the cloud-shape of human speech (Fig. 1c). Chaosmosis wasfeatured in the Washington Post20 and other local news outlets, earning recognition as one of DC’s“Two Notable Photo-Adjacent Exhibits” of 202421. (a) (b) (c) (d)Figure 1. Selected exhibit items and audience engagement with Chaosmosis
the literature. Some of these misconceptions havebeen shown to persist between high school students and university students. Improved strategies inclarifying misconceptions to students have also been reported, ranging from individualized remediationto course level strategies. The content of this review should serve as a concise starting point for contentdevelopers and instructors to help engineering students who struggle with math in their curriculum, andto provide specific misconceptions to target in efforts to remediate math understanding for thesestudents.IntroductionA large body of literature exists on math misconceptions (e.g.[1] ) and remediation at primary andsecondary levels of education, and is of great value for informing
integrating project-based learning in the ECE curriculum. Through an isolated and emotional experience, this studywas able to document the effect of project-based learning (PBL) on conceptual connections andearly professional development.IntroductionProject-based learning (PBL) has long been recognized as an integral tool in engineeringeducation, enabling students to bridge theoretical knowledge with practical applications throughhands-on experiences [1-2]. Research demonstrates that, compared to traditional curricula,students in PBL-focused programs exhibit significantly increased levels of self-efficacy, intrinsicvalue, cognitive strategy use, and self-regulation [1]. Furthermore, PBL fosters a greaterabundance of self-regulated learners and
instruction to createclassroom curricula aligned with the Next Generation Science Standards (NGSS). The specificobjectives of the program are to: 1. Enhance teachers’ bioengineering content knowledge and pedagogical skills. 2. Enable teachers to translate laboratory research into practical, NGSS-aligned curricula. 3. Address educational equity by preparing teachers to better support diverse, urban student populations.Adopted in Illinois in 2014 to be in effect by the 2016-17 school year, NGSS required complexcurriculum planning on the part of districts. The framework relates science to students’ everydaylives, ensures students learn about being careful consumers of scientific and technologicalinformation, and prepares them with the skills
, and Bahrain have achieved significant milestones over thepast three decades by investing in infrastructure and STEM education, attracting manypetrochemical companies to seek joint ventures in these places [1]. Attracting the cominggeneration to pursue academic education in engineering and science has been one of the primarypillars of the "Vision 2030" in these countries, and the responsible government offices havesignificantly invested in building state-of-the-art facilities to attract Western academicinstitutions to seek joint ventures by establishing branch campuses in these countries ([2]-[6]).One of the smaller monarchies in the Persian Gulf, became one of the early adopters of thiseducation philosophy by establishing an academic entity
includes these tasks a well. In the Design ofThermal Systems course, students apply these techniques to design (or redesign) thermo-fluid products. Asa culminating activity, during the last two semesters, students create design concepts, perform detail design,carry out analysis (cost, manufacturability, environmental impact, etc), construct, and test a full engineeringproduct. Preference is giving to emerging technologies (such as renewable energy, carbon capture,biomedical applications, etc) and multi-disciplinary projects. As a sample, course descriptions of theProduct Design and Capstone Design courses are outlined in Fig-1. Product Design Capstone Design This is a project based
. or outages in aviation can lead to equipment malfunctions, delayed operations, and increased operational costs. N OMENCLATURE Hybrid power systems, which integrate generator and in- verter technologies, have shown promise in addressing thesef Oscillation frequency (Hz) challenges [5], [17]. Michael Faraday’s foundational work onP Power (W) electromagnetic induction in 1831 [1
, Illinois Wesleyan University, SouthernIllinois University Carbondale, University of Illinois Urbana Champaign, and Western IllinoisUniversity. The SCI-LSAMP program aims to recruit students for engaged participation in theSCI-LSAMP program, retain students through critical junctures in their educational journey, andfoster STEM identity both within and across partner institutions.Past studies have unveiled obstacles to STEM degree attainment for students underrepresented inthese disciplines, including lack of support in competitive environments, ineffective advising,inadequate academic preparation, feelings of isolation, faculty teaching styles, and unwelcominglearning environments.[1], [2], [3] In response, theoretical frameworks [4], [5] and
adaptability. Byintegrating structured coaching with hands-on prototyping activities, the "Design forManufacturing" course seeks to foster adaptive expertise, preparing students to tackle open-ended problems with confidence and ingenuity. This study aims to provide evidence-basedinsights into the effectiveness of this pedagogical approach, contributing to broader efforts inenhancing first-year engineering education.Background: Adaptive expertise, as differentiated from routine expertise, requires a balance ofefficiency and innovation [1]. Kolb’s Experiential Learning Cycle [2] offers a valuableframework for fostering this adaptability through iterative processes, emphasizing ConcreteExperience, Reflective Observation, Abstract Conceptualization, and
Engineering Education, Problem-Solving Support, Student FeedbackIntroductionThe incorporation of cutting-edge technology into education has profoundly reshaped modernlearning environments. Among these advancements, ChatGPT 4.0, which is an advanced languagemodel developed by OpenAI, has gained substantial recognition across various educational fields.This AI-driven tool, formally known as the Conditional Generative Pre-Trained Transformer, haswitnessed widespread adoption since its public release in November 2022 [1]. The continuousevolution of AI-powered solutions, exemplified by ChatGPT, represents a major milestone inartificial intelligence, influencing multiple facets of daily life, communication, and academicinstruction [2].Artificial
universities. The goal is to bridgethe gap between textbook theories and real-world practice. Survey shows that courses taught byprofessors that come from an industry background receive higher level of satisfaction andperceived career-readiness from students [1]; furthermore, learning knowledge and tools that areimmediately applicable in the workplace gives students a comparative advantage for betteremployability, because learning under the guidance and expectations from the future employeralike sets them up for success [2]. While industry experts bring in their unique insights and relevant skill sets that are highlyin demand in the job market, challenges lie within many aspects when they enter the academicenvironment [3]: their teaching
, as well as its ability to provide critical analysis of anotherwriter’s work. The altered essay assignments address a specific prompt designed to connectdirectly to the course’s Learning Outcomes, so the expectation is that it contributes to studentsmeeting those Outcomes. The requirement for students is to (1) write their own essay responseto the assignment’s prompt, (2) develop their own prompt to ask one or more GenAI chatbots towrite an essay about, (3) examine the GenAI-written essay in comparison to their essay, and (4)critique the GenAI essay to discuss quality and accuracy of information. This paper will presentanonymized student critiques in a qualitative way, and draw conclusions as to the effectivenessof this basic approach to
shown in Figure 1. These elements, such as career goals, evolve across one’slifespan and are shaped by personal and social factors (Richardson & Watt, 2018). As one’s self-efficacy changes, one's outcome expectations and goals will also change, affecting performance.Additionally, outcome expectations may change independently of self-efficacy, changing one’sgoals and affecting performance. The process repeats in a cycle in which one’s performanceattainment will become a past experience, impacting self-efficacy and outcome expectations,which then impacts future performance (Lent, 2002).Figure 1: Adapted subset of SCCT performance model from Lent (2002).Research DesignThis study adopts a phenomenological research design to explore engineering
Progress: Adding Additional Methods to Identify Mistakes in an Undergraduate Biomedical Instrumentation Laboratory CourseIntroductionIn his 2013 book, John Hattie stated “the most powerful single influence enhancing achievementis feedback.” [1] The feedback students receive on their achievement of learning outcomes cantake many forms: self-evaluation checkpoints, the grade on a summative exam, or the commentsleft on a lab report. By their nature, assessments inherently include an element of feedback [2],but formative assessments guide students toward self-evaluation during the learning processrather than after the fact. Qadir et al. identified six key aspects of beneficial feedback, includingbeing timely
understandthe competency of their team and the limits of the team as well as general appropriate goals whenscoping a project. These findings contribute to the growing knowledge of how to effectively teachand apply CPS skills, providing a promising pathway for improving science students’ ability towork well in groups.IntroductionCollaborative Problem Solving (CPS) is a multifaceted process in which individuals worktogether to address complex challenges by integrating varied perspectives, skills, and knowledge.It combines social skills, such as effective communication and conflict resolution, with cognitiveabilities, including problem representation and strategic thinking 1 . In an increasinglyinterconnected world, the ability to collaborate effectively
. Additionally, URM STEM students often report feeling invisible and culturallyirrelevant and experiencing negative classroom stereotypes, leading to self-isolation [1], dropout[2], and even higher levels of self-reported anxiety and stress. Such experiences are alsocorrelated with a reluctance to self-identify as an engineer [3].Study shows that belongingness and identifying as an engineer are strongly related [4]-[5].Engineering identity (EI) represents how strongly someone identifies with being an engineer andserves as an indicator for other key metrics like retention and persistence [6]. There are severalways of measuring EI. One of the most widely used in engineering education research is madeup of three interconnected constructs: performance
estimating methods to ensure students are equipped withfoundational and advanced technological skills. These insights seek to guide educators looking tomodernize construction curricula to align with industry needs and technological advancements.IntroductionThe construction industry continues to grapple with challenges such as low productivity, cost andtime overruns, and safety concerns, mainly due to its reliance on manual processes and lowlevels of digitization [1]. These issues have hampered the industry’s ability to meet increasingdemand for efficiency [2] [3].Artificial Intelligence (AI) has emerged as a transformative technology capable of addressingthese challenges by introducing automation and improved decision-making capabilities [4] [5
Missouri State University in the Engineering Program, a joint program with Missouri University of Science and Technology (S&T). ©American Society for Engineering Education, 2025 A Call to STEM Exposure: Reinforcing Young Girls and Planting Seeds Madi Mickle 1 , Amber Lewis 2 , Tayo Obafemi-Ajayi 1 1 Missouri State University, Springfield MO 65897 2 A Girl Like Me Mentoring Network, Springfield MO mm3737s@missouristate.edu, ambylewis@aglmn.org, tayoobafemiajayi@missouristate.edu Abstract
capabilities. Drones and Unmanned AerialVehicles (UAVs) offer flexible and high-resolution data collection for various applications, suchas agriculture, disaster response, and urban planning. Internet of Things (IoT) sensors deployed invarious environments collect real-time data on weather, air quality, soil moisture, and more.Smartphones and other portable devices with GPS and various sensors provide vast amounts oflocation-based data. CI supports the entire cycle of data acquisition, transfer, storage, processing,and visualization of large-scale data 1 . It has become a critical resource for many applications andscientific discovery 2,3 . While the importance of CI is well recognized in the scientific communityand industry, the education and