-grained interpretation of results thatmay be transferable to other institutions.Introduction and BackgroundMany engineering educational researchers have worked with large-scale datasets of students’ aca-demic records to better understand influential factors on students’ performance [1, 2, 3, 4]. Suchdatasets enable robust statistical analyses that uncover generalizable trends across diverse studentpopulations, providing valuable insights into the systemic influences on student outcomes, as wellas to identify students who may need additional support to achieve the academic success of whichthey are capable. These studies have shed light on critical factors such as high school preparation(e.g., [5]) and first-year experiences (e.g., [6]), which
doctoral studentschanging research labs during their academic programs in engineering graduate education.Recent research has demonstrated over 70% of engineering doctoral students contemplateleaving their programs without a doctoral degree [1]. Depending on the discipline, 40-60% ofengineering doctoral students actually depart due to conflicts with advisors and peers, financialor academic difficulties, and personal or family concerns [2]. Some students remain in theirdoctoral programs by changing research labs, advisors, programs, or even universities [3], [4].While changing research labs can help retain partially trained and qualified students, theassociated individual costs, programmatic barriers, and advisor conflicts complicate the
networkthat was “smart” and dynamic. The inspiration for the digital twin was the Edibon AFT-B FluidFlow in Pipes (Figure 1). Table 1 presents the comparison of the physical equipment, proof-of-concept and the Mixed Reality Labs. The CHEG MR digital twin has been expanded in scopeover the proof-of-concept and provides extended capability over the physical equipment. Onemajor addition is the inclusion of ten fluids (see Table 1). Other benefits of the MR environment are: 1. Social interaction. It provides the abilityfor social interaction, thus facilitating teamwork. 2. Remote learning capability. The MRenvironment is being developed to enable remote learning where the students can interact withone another via their personalized avatars as in
recent years,initially spurred by technological advances, but further catalyzed by the COVID-19 pandemic[1], [2], [3]. In-person capstone courses traditionally rely on physical proximity, both for sponsorengagement and for hands-on prototyping. Transitioning these experiences to fully online modesintroduce challenges around synchronous/asynchronous communication, sponsor management,and alignment with ABET standards [4], [5]. Additionally, remote environments can exacerbatedifficulties that students already face in team-based design, including the management of diverseschedules, uneven participation, and unclear communication. Belanger et al. [6] further highlightthat students in remote design collaborations frequently struggle with technology
, leadingto poor performance [1], [2]. Misunderstandings of foundational concepts such as Kirchhoff's Laws,Ohm's Law, and voltage often persist despite prior coursework in physics or math [3].The Circuit Teaching with Real-World Analogies (CTRWA) framework was developed to addressthese issues [4]. CTRWA systematically applies analogies to help students relate circuit conceptsto familiar real-world systems, such as comparing voltage to water pressure or using a running trackanalogy for Kirchhoff’s Voltage Law (KVL). This paper evaluates the preliminary effectiveness ofCTRWA in improving understanding, addressing misconceptions, and building student confidence.MethodologyThe inventory of Circuit Teaching with Real-World Analogies (CTRWA) was developed
to programming.Two validated scales were used to assess changes in both computer programming andengineering self-efficacy: 1.Computer Programming Self-Efficacy Scale (CPSES): Measures programming confidence across constructs such as independence, persistence, and complex task handling [9]. 2.Longitudinal Assessment of Engineering Self-Efficacy (LAESE):Assesses confidence in engineering-related tasks, career expectations, and sense of belonging [10].The instruments were administered as pre- and post-surveys to capture baseline andpost-intervention self-efficacy data. The CPSES and LAESE surveys both used a 7-point Likertscale ranging from “not confident at all” to “absolutely confident.Preliminary
, called LEGACY, which targeted one of the communities most underrepresented incomputing (Black young women), providing them with physical, academic, and social resourcesto overcome the lack of preparatory privilege, while building awareness of CS and realizing theirpotential for participation in CS and other STEM-related occupations.IntroductionCareers in Computer Science (CS)-related areas represent many of the best-paid jobs in thenation. Yet, Black Americans comprise less than 5% of the workforce at the most popular U.S.software companies, with Black American women occupying less than 1% of those positions [1].LEGACY stands as a groundbreaking program that educates young Black female high schoolstudents in CS in a way that is unique to Alabama
and graduation rates in STEM (science, technology, engineering, and mathematics) arecritical to the innovation economy and to address complex global problems through research anddevelopment. However, on many university campuses nationwide, success rates in attainingSTEM credentials are typically lower than non-STEM fields, with many students leaving beforecompleting their degree. Additional barriers are faced by low income and commuter students,especially those that live at home [1]. While a strong sense of belonging is known to increaseacademic persistence, this sense of connection can be more difficult to achieve on a commutercampus, where students are physically on campus for limited times and their support networks,including family and
University of Iowa (1997) and a Doctorate in Education from Northeastern University (2022) where she completed her dissertation about elementary STEAM education before and after COVID-19. She also worked as a professional engineer in the athletic footwear and medical device industries for 10 years before joining the faculty at Northeastern University in 2006. ©American Society for Engineering Education, 2025 Engineering PLUS: An NSF Eddie Bernice Johnson INCLUDES AllianceResearch shows that teams with gender and racial diversity are highly effective when innovationand problem-solving are critical goals [1]. Despite a wealth of best practices published over thepast several decades on how to broaden
participantsfelt confident in developing rubrics and providing productive feedback on students' lab reportswith the use of the guides. Respondents suggested extended workshop time, greater variety inactivities, and more diverse examples and samples to provide a broader context. During the opendiscussion, participants raised issues with scaffolding approaches, faculty time, TA support, andgenerative AI as an assessment tool. Overall, the workshop helped establish a sense ofcommunity among participants across the nation, enhancing their interest in lab writing andteaching.1. IntroductionEngineering students often excel in laboratory experiments but face significant challenges in labreport writing [1]-[3]. At the same time, lab instructors, despite being
versus veteran students is intentionalto ensure the focus on students who happen to be veterans rather than on veterans who happen tobe students. However, the existing biases and perceptions by faculty and students to include theveterans themselves can affect the interaction with veterans within the classroom, and eventuallyhow prepared they are to enter the civil workforce (learning outcomes). As presented in recentpapers, the generalized perceptions can be either positive or negative without a desire to do sowith intent [1]. Informing faculty of these possible perceptions is critical based on the highnumbers of current and future student veterans due to the Post 9/11 GI Bill and the veterans’desire to pursue their educational goals once they
four years across their tenures at bothinstitutions. In addition, any unclaimed scholarships at the 4-year-university are offered tolow-income transfer students from other community colleges [18].Based on Tinto’s model of student retention [19], the scholarship program aims to enhancestudents’ access, retention, and success by ensuring that students are academically and sociallyconnected and integrated through co-curricular activities [16,20,21]. Figure 1 highlights thespecific program activities provided to scholarship students throughout their tenure in theprogram.Figure 1. Scholarship program activitiesDuring the academic year, scholarship students receive individualized support through facultyadvising and peer mentoring. The faculty and
2025 [1]. The NSF'scomprehensive 2023 report on diversity in STEM further highlights persistent disparities,particularly for women and underrepresented minorities [2]. These findings underscore theimportance of preparing graduate students to create inclusive learning environments that supportsuccess for all students. Rates of leaving the STEM fields are estimated at approximately 50%[3], with persistence in the fields reportedly stagnating in the 2010s [4]. Attrition continues fromundergraduate through the graduate level (Satterfield et al., 2018) and faculty roles [5]. Evenbeyond attrition, changing career paths within the STEM fields presents a compellingphenomenon and indicates lower potential motivation and persistence at the undergraduate
allows for the centralization of a variety of student resources within the School and at theuniversity, a cohesive strategy to address the wellness of students, and a singular point of contactfor students [1]. The goal of the Office is to both further the welcoming and community focusedenvironment in the School of ECE and establish programs and initiatives to aid student growthand well-being. A lot of the responsibilities and roles of the office are not novel, but traditionallyspread across multiple positions with different primary responsibilities at the school/major level.The centralization into one Office and position is unique and serves both the undergraduate andgraduate student population in the School. The ECE School is large and is
engineering, developing innovative ways of merging engineering fundamentals and research applications. ©American Society for Engineering Education, 2025 WIP: Promoting Undergraduate Student Success through Faculty MentoringIntroductionAs previous studies recognize, the transition from school to college often requires a supportsystem for students[1]. In engineering education, mentoring plays a crucial role in student successby providing personalized guidance and fostering a sense of community[2]. Mentors typicallyassist with academic challenges, decision-making, and personal development. While mostresearch focuses on mentoring for research activities, there is also a need for general
the discipline,interact with the faculty from that discipline, and gain exposure to topics and applicationsrelevant to the field. In this study, the learning experience consists of a three-credit hour course,taught in-person and supplemented with online course materials. An overview of the course isincluded in Table 1 below, which lists topics in the course, concepts which are introduced by wayof showing students about the coursework later in the curriculum, and topics which are specificto the career of the instructor and the university. Of the three credit hours, approximately onehour is focused on basic programming skills. The course includes two exams, a programmingproject, and a final exam.Table 1: Topics which are touched upon, to
inclusion in the survey instrument. To generate our Q set,we leverage the Contextual Engineering Leadership Development framework to identify relevanttheories from which potential survey items can be extracted. In piloting our method, nine mid-level and senior engineering leaders and managers participated in a Q sort involving 60 items.Using exploratory factor analysis, we identified three key factors that correspond to threeviewpoints of engineering leadership development. Each viewpoint emphasized a differentaspect of the CELD framework; viewpoint 1 highlighted a leadership development modelfocused on team effectiveness and affective behavior, viewpoint 2 emphasized the importance offostering an awareness of potential impact and a robust
work.Previous Work Practical laboratory experiences including engineering labs and projects represent essentialelements of learning [1], [2]. As part of intensive laboratory experiences, robots have had alongstanding positive impact on education of students at all levels. Small, wheeled, programablemobile robots like LEGO Mindstorm series have been used as motivational tools to attract studentsto STEM fields in general [3], as well as to help students (and teachers) learn how to program [4]- [6]. However, at the practical level of industrial robot programming, the use of industrialmanipulators for teaching programming robotic tasks was often the only option. Expensivehardware, proprietary software, and required safety measures made programming of
students to use design thinking to advance their research,translation, and career goals, and (iv) demonstrate that an innovation mindset can fuel basicresearch as well as translation and innovation activities. This Work in Progress paper describesour novel implementation approaches and early indicators of trainee engagement and success.Our approach to delivering the Impact Training revolves around central tenets of early andcontinuous engagement applied using a “just-in-time” model. In this just in time approach,trainees learn concepts immediately before they must be deployed to accomplish authentic,meaningful tasks [1], [2]. Examples include workshops on scientific talks and poster design justbefore a key regional or national conference, or
differences in how cognitively complex the standards are.Discussion: Standards writers face many tensions and trade-offs, and this analysis shows how – ingeneral terms – various states have chosen to manage those trade-offs in writing standards. Forexample, adding examples can improve clarity and specificity, but perhaps at the cost of brevityand longevity. A better understanding of the landscape of state standards can assist futurestandards writers, curriculum developers, and researchers in their work.1 Introduction and BackgroundThere are 42 U.S. states with computer science standards, totaling just under 10k standards acrossall grade levels K-12. These standards form a nexus at the intersection of policy, curriculum,instruction, and research and
. ©American Society for Engineering Education, 2025 Developing research communication competencies for engineering education graduate students through a co-curricular community of practiceAbstractEngineers and engineering educators must communicate effectively across a range of genres,situations, and professional contexts, including industry, policy- and decision-making, andacademic settings. Developing these abilities means producing the “disciplinary conventions ofwriting in one’s field” [1], which are taught across contexts in a variety of ways [2]; [3]; [4]; [5].Although studies demonstrate that engineering communication instruction is valued, thesestudies focus on training students to communicate in
decisions to useAI tools in their classrooms. This project asks the overall research question: How do K-12teachers perceive AI tools and their impact on the workforce? To answer this question, our one-year project leveraged a national survey of K-12 educators’ perceptions of AI using an ecologicalagency framework.Theoretical FramingEcological AgencyThe guiding framework of our project is the ecological agency framework developed by Biesta etal. [1]. In the framework, agency is conceptualized as an individual’s ability to act purposefullyand feel in control of actions and the outcomes of those actions [1]. In this project, weconceptualize K-12 teachers as agents of change for the adoption of AI tools, who may feel moreor less of a sense of agency
Unpacking Student Reasoning in Rigid Body Equilibrium: Insights from Think Aloud ProtocolsStudent-centered pedagogy requires instructors to engage with student thinking instead ofprescribing one correct problem-solving method [1]. In this work, student understanding of rigidbody equilibrium is explored as a follow-on to previous work [2]. A think aloud protocol is usedto study how students address a problem with multiple solution paths and how they assess theirown thinking. Study participants are students in a combined statics and deformable bodies coursethat elect to participate and are currently taking or have completed introductory physics. Theinterview begins with a projectile motion practice problem to get the student
single visit to a classroom, while others may include a virtual or on-campus experience of a day, a week, or multiple weeks. In particular, engineering andtechnology summer camps have been shown to improve the confidence, value, and futureintentions of both male and female participants [1]. Informal learning environments like those ofcamps can increase student engagement in STEM topics [2], and hands-on design experienceshave been shown to build confidence and interest in engineering [3]. While there are a greaternumber of science-related summer camps, the number of chemical engineering-specific camps isless prevalent. There are examples of chemical engineering departments that have offered bothin-person and virtual summer high school camps in
century, the CE engineering landscape is at the cusp of a majortransformation brought about by the confluence of a number of powerful forces, including (1) anincreasingly more complex and interdependent design and construction environment, (2)challenges in climate, environmental, and socio-economic patterns, (3) innovations in materialsand construction/design methods, and (4) growing computational capacities paired with theaccumulation of large amounts of performance data (with cheaper sensors) coinciding with therevolution of the artificial intelligence (AI), machine learning (ML), internet of things (IoT) anddata analytics [1]. We strongly believe that CE engineering education needs a paradigm shift thatis commensurate with these rapid
, engagement and knowledge retention. ©American Society for Engineering Education, 2025WIP: Impact of Metacognition Focused Activities on Development of Learning Habits in PhysiologyIntroductionThe ability to monitor and assess one’s own knowledge and skills plays a pivotal role in learning[1]. Several have previously described the beneficial effect of this type of metacognitive toolthrough interventions such as exam wrappers, reflections and self-surveys [1-3]. Unfortunately,bioengineering curricula often do not give students sufficient practice developing these tools. Formany students, it can be easy to fall into the trap of implementing ineffective learning strategiesrepeatedly
students receive the knowledge they require to move from theComputer Science academic setting into the professional setting, which largely utilizes suchGen-AI tools. Thus, this will prepare the next generation of computer scientists to be effectiveAI-augmented professionals.1 IntroductionArtificial Intelligence (AI) introduces challenges to the traditional educational landscape.Educators need to teach students crucial concepts for their field but also need to prepare studentson how to use relevant tools for their future in the workforce. One such tool is the emergence ofLarge Language Models (LLMs) like ChatGPT-4, Copilot, and Claude, which show a significantleap in AI capabilities. Such technologies require educators to reevaluate teaching
in courses and curricula ontheir own campuses. The paper originally was submitted in January 2025. In revising, we haveadded an Appendix that discusses conditions in April 2025, which represent an abrupt change innational conditions related to DEIJ topics as compared to Fall 2024 when the teaching activitieswere conducted.IntroductionEngineering programs continue to adapt to changing stakeholder demands for better integrationof diversity, equity, inclusion, and justice (DEIJ) into both classrooms and curricula. Forexample, ABET’s approved new Criterion 5 will require programs to offer curricula “thatensure[s] awareness of diversity, equity, and inclusion for professional practice consistent withthe institution’s mission” [1] (note that this
, Dr. Quan has a keen interest in employing active learning strategies and inductive teaching methodologies. His educational mission centers around enhancing students’ higher-order thinking skills and self-learning abilities.Jing Wang ©American Society for Engineering Education, 2025Understanding Epistemic Beliefs of Chinese Students to Bridge the CulturalGaps in Teaching and LearningXinfeng Quan1, a), Jing Wang2, b), Xuan Li3, c), Xi He3, d), Chenhui Zhang4, e)1 Department of Chemistry, School of Science, Westlake University, Hangzhou, China2 Department of Physics, School of Science, Westlake University, Hangzhou, China3 School of Physics, Hangzhou Normal University, Hangzhou, China4 Independent
between the professions as well as facilitating thecommunication of the professions with the public. Collectively, the weight of evidence of theliterature identified in systematic reviews supports the inclusion of nursing in STEM.IntroductionSTEM, or science, technology, engineering, and math, is a collection of fields identified asessential to maintaining a competitive advantage for the United States (US) in the globalmarketplace [1]. The US marketplace, herein measured as the annual Gross Domestic Product(GDP), is approximately twenty five trillion dollars ($25T) [2]. Approximately seventeenpercent, or four and one-half trillions dollars ($4.5T) is spent on healthcare annually. And nearlythirty percent of the Federal government total