Strategies Responses to ECE Exam Success and FailureIntroductionIn engineering as a profession and in engineering education, failure is commonplace[1]–attempteddesigns fail, experiments fail about 90% of the time, and students do not achieve the scores theydesire on homework, quizzes, and exams. Thus, the ability to navigate and respond to failure asan opportunity for growth and learning is a key component of the scientific enterprise. However,engineering education research is sparse on how students respond to failure.Research on response to failure has been extensive in workplace settings[2, 3], in which there is avery wide range of negative and positive responses to failure, including denial, anger, bargaining,depression
, which requires a more flexible approach to allow students to better engage with thefield of engineering and to allow curricula to adapt to the ever-changing landscape ofengineering practice and technology. The significant curricular change involves taking thecurrent 6 credit hours of first year engineering courses and breaking them into a set of 1 credit(or less) modules from which students can select. This paper discusses in detail the first year ofthe project which has involved implementing changes to the current courses to prepare for thechange to the modular format along with getting buy-in from the administration and facultywithin the college. The paper also discusses outcomes from the changes implemented during thefirst year of the
Paper ID #49088Leveraging LLM Tutoring Systems for Non-Native English Speakers in IntroductoryCS CoursesIsmael Villegas Molina, University of California, San DiegoAudria Nikitza Montalvo, University of California, San DiegoBenjamin Ochoa, University of California, San DiegoProf. Paul Denny, University of AucklandLeonard Porter, University of California, San Diego ©American Society for Engineering Education, 2025 1 Leveraging LLM Tutoring Systems for Non-Native English Speakers in Introductory CS
undergraduateengineering and computer science courses about their experiences of safety and closeness withtheir teammates and used social network analysis to investigate differences across teams andacross courses. While the engineering course used stable teams for a semester-long project, thecomputer science course used a sequence of teams for multiple small projects. Shifting teamsmay provide greater opportunities for diverse team members to locate allies.Introduction and research purposeResearch suggests diverse teams can produce more innovative ideas, but this hinges on teamsbeing inclusive, which fosters deeper, unfettered sharing of ideas [1], [2], [3]. In preparingstudents for professional practice, programs are expected to engage students in team work
competencies in both engineeringand design education, yet approaches to understanding them vary widely. In engineering,structured assessments like the Creative Engineering Design Assessment (CEDA) [1] andsimplified TRIZ methods [2] aim to systematize creative thinking, while industrial designpedagogy embeds iterative idea generation into studio-based project cycles [3]. Researchcomparing STEM and arts students reveals that cognitive differences may be less pronouncedthan cultural narratives suggest; when measured in structured settings, both groups exhibitsimilar divergent thinking capacities [4,5]. Despite this, persistent assumptions about engineeringstudents being less creative than design students [6,7] continue to shape educational experiencesand
can often hinge on extra-departmental fundingopportunities—institutional research centers and external grant competitions. As engineeringprograms seek to invest in the next generation of engineers, research administrators canoperationalize research effort data to identify (1) near-term undergraduate and graduate studentexperiential opportunities; (2) top-performing teacher-scholars poised to lead studentexperiences; (3) features of teacher-scholars that can be predictive of early-stage interventionsthat support their success as fundable grantees. Data visualizations in service to engineering andSTEM programs provide a high-context field of opportunity for administrators, faculty, andstudents, supporting the continued growth of the engineering
challenging endeavor due to the abstractnature of its concepts. Students often struggle to connect the mathematical for-mulations, such as matrix manipulations and transformations, with real-world ap-plications. The disconnect between theory and practical understanding can leavestudents feeling disengaged and overwhelmed [1], particularly when faced with rapidsuccessions of equations that lack context or intuition. One promising way to address this challenge is to draw on familiar experiencesand relatable analogies to make abstract concepts more tangible. Learning is mosteffective when new information builds on prior knowledge and lived experiences, al-lowing students to form meaningful connections. Without such connections, evenwell-structured
in an Undergraduate Transfer ProgramIntroduction The Student Pathways in Engineering and Computing for Transfers (SPECTRA) programis an NSF-STEM that supports high-achieving low-income students who intend to transfer froma technical college to Clemson University, a large R1 institution, and pursue engineering orcomputing degrees. The three goals of the program are as follows: (1) provide scholarshipopportunities to low-income students pursuing engineering or computing at Clemson, (2) buildcohorts of transfer students to support their transition into Clemson University, (3) assess itsprogress internally and externally to assist the transfer students and improve the program Having support at a community college, such as through a
achieve the survey’s objectives aswell as to inform the development of an assessment strategy.IntroductionIndustry 5.0 emphasizes a human-centric design approach, in which humans and cobots(collaborative robots) collaborate in shared working environments [1],[2]. Cobots will handlerepetitive and labor-intensive tasks, while humans will focus on customization and critical thinkingactivities to solve complex issues [3]. Industry 5.0 has gained increasing attention in recent yearsbecause it is considered the next major global industrial revolution. As part of the industry 5.0implementation, the demand for a skilled workforce capable of solving problems creatively andadapting to changing situations has been on a steady rise. As a consequence, current
experiences in engineering, aspira-tions to pursue postgraduate engineering degrees, and emotional well-being [1]. It has also beenshown that female mentors are more likely than male mentors to positively influence mentees’ sci-ence careers and that mentees with female mentors are more likely to view their mentors as goodrole models [2]. The National Academy of Sciences, Engineering, and Medicine released a reportin 2019 describing the science behind mentoring programs. Among their results, they found thatstudents with a mentor are more likely to succeed in their major [3]. Similarly, studies indicatedthat 100% of women in engineering who had women mentors continued in engineering, which is14% higher than those without mentors and 18% higher than
regulations, preparing them to design projects that meet legal and ethical standards. Thecourse emphasizes the importance of protecting public health by addressing environmentalhazards, ensuring clean water, air, and soil for communities.Integrating environmental education into the undergraduate engineering curriculum is crucial forraising environmental awareness early in students' careers [1]. It teaches students how to analyzeproblems, identify causes and effects, and understand the conditions under which certainprocesses occur and their impact on environmental quality. The growing recognition of theimportance of introducing concepts such as environmental engineering, green engineering,pollution prevention, and design for the environment to
assignments, making it easier to identify irregular behavior and struggling students so instructors can provide targeted interventions. his paper explores various approaches to effectively utilize the Student BehaviorTInsights feature, providing early use cases and recommendations. It is important to note that Student Behavior Insights is not a "plug-and-play" solution for detecting cheating but is intended for use at the instructor's discretion. Additionally, this feature can serve as a predictor of student struggles. We will present examples of how to use the feature to gain insights into: 1) a student who works earnestly, 2) a student who is utilizing an outside source for their work, 3) a student who
for students, many universities areturning to social media to outreach to potential students. Social media has been found to performan essential role in shifting sentiments, moods and overall image a university portrays [1]. Thisstudy examines the forward-facing presence of university engineering programs at two publicuniversities. This study uses content and textual analysis and the lenses of occupationaldemography and feminist post-structuralism to make sense of the messages the programs areportraying to potential students and other stakeholders about the student experience and learningoutcomes valued by the university. The study examines social media posts on Instagram,LinkedIn, and Facebook, as well as the university website and publicly
development in a range of contexts, with a particular focus on the school to work transition. ©American Society for Engineering Education, 2025Tracking the Evolution of Interdisciplinary Development in STEM Graduate Students: A Longitudinal StudyAbstractThe strongly "paradigmatic" or “high-consensus” nature of STEM fields—characterized bywell-established theories, high agreement among practitioners about accepted topics andmethods, clear disciplinary boundaries, and standardized practices [1–4], [5] — can createcognitive and cultural barriers to interdisciplinary STEM graduate student identity developmentand motivation [6,7]. To explore these barriers, this paper presents a longitudinal
and analyze the electrical impedance of biological tissues, the use of fractional-order equivalent circuit models, and exploring impedance-based sensing for health-focused applications. ©American Society for Engineering Education, 2025 IRES: Undergraduate Engineering Students Intercultural Communication Competence Before and After Participation in a 12-week International Research Experience in the Czech RepublicIntroductionUndergraduate research is a high-impact educational practice [1] that provides opportunities forstudents to develop their research and technical skills, network with other students/professors,raise their awareness of graduate studies, and understand the social context
. She also plays a pivotal role in curriculum development and establishing partnerships to advance UTSA’s standing in computing, multidisciplinary studies, and data science education. ©American Society for Engineering Education, 2025 REU: Enhance REU Participants’ Identification with Research Training and EngagementObjective and MotivationSince the National Science Foundation (NSF) established the Undergraduate ResearchParticipation Program in 1958, thousands of Research Experiences for Undergraduates (REU)sites have been supported by various agencies, including the NSF, the National Institutes ofHealth, the Department of Energy, and the Department of Education [1, 2]. The
University of Wisconsin–Madison.Coskun Tekes ©American Society for Engineering Education, 2025 Multiple Representations of Learning in Dynamics and Control: Exploring the Synergy of Low-Cost Portable Lab Equipment, Virtual Labs, and Artificial Intelligence within Student Learning Activities NSF IUSE Level II - 23369981. Problem Statement. The challenge of learning abstract, theoretical concepts and connectingthem to real-world behavior can be significant for engineering students, particularly in the highlymathematical context of dynamics, vibrations, and control theory concepts [1-3]. Also, studentsstruggle with visualizing and
systems modeling, science-policy interface, and decision-making. ©American Society for Engineering Education, 2025 NSF IUSE: Integrating Ethical-Epistemic Pedagogy to Foster Moral Agency in Undergraduate Engineering EducationIntroduction and Literature ReviewEngineering ethics has been a subdomain of engineering education for multiple decades,supported by accreditation entities like ABET and their desire to incorporate aspects of ethicsinto global workforce standards. As such, there have been a variety of studies on the efficacy ofinterventions for ethics education across a variety of scales including individual, institutional,policy, and cultural [1]. The notable variation in scope, scale and
Environmental Engineering from the University of Notre Dame. ©American Society for Engineering Education, 2025Transitioning from a Project-Based Learning to a Work-Integrated Learning Program: Insights from Year 2Introduction “If we teach today's students as we taught yesterday's, we rob them of tomorrow” [1].The quote by John Dewey describes the crossroads the project team was at in the transition Year1 to Year 2 of the National Science Foundation (NSF) grant “Greenway Institute ofElizabethtown College Center for Sustainability and Equity in Engineering” (Grant No.2219807). The project was funded by the NSF Division of Engineering Education and Centers(EEC) and Directorate for Engineering
College Ph.D. Engineering Education - The Ohio State University ©American Society for Engineering Education, 2025 Performance in Introductory Engineering Graphics Courses as an Indicator of Future Success in a Mechanical Engineering Technology Program (WIP)IntroductionThe Mechanical Engineering Technology (MET) program at Penn State Behrend requires twoengineering graphics courses as part of the first-year curricula. Students in the first of thesecourses, EGT 120, take a standardized visualization test, the Purdue Spatial Visualization Test:Visualization of Rotations (PSVTR) [1] as part of ordinary classroom practice. Faculty in theprogram have begun working on
performance, motivation, andpersistence in engineering programs [1]. Understanding these perceptions can help educatorsdesign more effective curricula that leverage LLM to enhance learning outcomes. Additionally,the utility value of LLM, which refers to the perceived usefulness and practical benefits of thesetools, plays a significant role in students' engagement and academic success [2]. By examiningthese factors, we aim to provide insights into how LLM can be integrated into engineeringeducation to support students' academic and professional development.Utility value, defined as the perceived usefulness and practical benefits of a tool or task, is acritical factor in students' engagement and motivation in academic settings. Venugopal et
University (NTU), Singapore. He has worked in research laboratories in the US, Canada, and Singapore; developed nanomaterials for multimodal and deep tissue imaging, and biosensing applications. ©American Society for Engineering Education, 2025 Work-in-Progress: Leveraging ChatGPT to Support Technical Communication Skills (Writing) in a Senior Chemical Engineering Laboratory Course1. IntroductionArtificial Intelligence (AI) tools like ChatGPT (Chat Generative Pre-trained Transformer) havesparked unprecedented interest across various fields since their release in November 2022 [1]. Ineducation, AI is transforming both learning methodologies and administrative processes
customization, this paper points to new frontiers for delivering student-centeredlearning experiences in engineering education and beyond.IntroductionAs education becomes increasingly complex and specialized, artificial intelligence (AI) offerstools to make teaching and learning more effective, engaging, and equitable [1]. Therefore, wesee artificial intelligence (AI) as a transformative force in education which has a large potentialto offer solutions to challenges posed by traditional, standardized instructional methods.Specifically, modern AI models offer the ability to generate new content in real-time, makingtruly adaptive learning [2] a possibility. These challenges are unique in the context ofengineering education due to the complexity and
traditional knowledge acquisition to emphasize practical applications and real-world experience. Virtual learning tools, specifically virtual laboratories, play acrucial role in this shift by offering hands-on learning opportunities through realis-tic simulations. These virtual laboratories enable students to test, experiment, andrefine their skills in environments that closely mimic real-world conditions.This paper will focus on four virtual laboratories, where two cover electrical appli-cations and the other two cover robotics one. It should be noted that the focus hereis on virtual laboratories, not remote ones, the distinction being well explained in[1]. The justification behind selecting these four labs out of the 35 that have beendeveloped
, andapplication of theoretical knowledge. While ChatGPT-4o demonstrates the ability toprovide robust explanations, it often lacks the contextual depth required for higher-orderconcept mastery, especially when reasoning from diagrams. These findings align withexisting literature highlighting AI’s limitations in discipline-specific support. Futureresearch should refine AI responses to better align with engineering problem-solvingapproaches and explore hybrid models integrating AI assistance with human instruction,potentially leading to more effective AI-augmented learning platforms in mechanicalengineering education. 1. Introduction Generative AI tools are becoming increasingly prevalent in college assessment. Studentsuse AI tools for studying
problem solvingIntroductionThis theory/method paper focuses on assessing student learning within a Problem-Based Learning(PBL) context. PBL is a learning approach that presents students with an open-ended, ill-structured, authentic, real-world problem [1]. In this approach, utilizing authentic real‐life clinicalproblems to structure and drive learning, students actively engage in self‐directed problem‐solvingand learning processes in small‐group settings to construct knowledge and develop a solution [2].Overall, PBL has been found to have a generally positive impact on student learning of coreknowledge and complementary skills (e.g., problem-solving) aligned with the profession, andsupporting student learning in
, University of Nebraska - Lincoln ©American Society for Engineering Education, 2025 Insights into Faculty's Use of Generative Artificial Intelligence Systems in Engineering ClassroomsIntroduction The integration of technology into education has long sparked debate, particularly asemerging tools like generative artificial intelligence (GenAI) challenge traditional teachingpractices [1], [2], [3], [4]. This ongoing tension between established pedagogical methods andtechnological innovation, which offers new affordances, continues to shape contemporarydiscussions about the adoption of educational technologies, with GenAI being the latest focalpoint. Many of the concerns surrounding this
Educational Reform and Research Activity (AY2024). Her research interests include: (1) Impacts and potential benefits of including humanities components in science and engineering degree programs (2) Innovative methods of assessment in science and engineering education, especially in the context of remote learning, hybrid courses, and collaborative international programs (3) Solving systematic issues that impact the effectiveness of science and engineering education programs, in both in-person and remote learning contexts. In recent years she has been a presenter at the following international conferences: World Educational Research Association (WERA): WERA Conference 2019, 2022, 2023, 2024 Asia-Pacific Association for
, engineering, and navigation. The module wasevaluated in a class of 25 students using pre- and post-tests and an opinion survey. Studentsfound the approach engaging and effective, noting that the combination of hands-on tools likeprotractors and interactive software such as GeoGebra helped demystify complex concepts.Survey results indicated increased confidence in understanding geometric angles and improvedproblem-solving skills, with many students appreciating the real-world connections made duringthe lessons.KeywordsAngles, Angle Addition, Angle Simulator, Geogebra, Geometry, Protractor, Angle MeasurementBackgroundGeometry is one of the most challenging areas of mathematics for students [1]. However, there iscontinued concern about students' low
to increased student persistence within their degree [1], studentretention in pursuit of science careers [2], and increased rate of graduate education [3]. Inparticular, researchers have noted that undergraduate research creates pathways for minority andunderrepresented students to pursue careers in science and foster a diverse STEM workforce[2][4]-[5].Mentorship is also viewed as a strategy that helps students define career pathways [6]. Thecombination of research experiences and mentorship has been shown to increase a student’sinterest in both learning and STEM that is sustainable [7]-[8]. For example, [7] found that facultymentorship as an environmental factor led to positive outcomes on a student’s motivation toachieve. The inclusion of