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
. 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
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
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
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
students will be most successful if topics are integratedthroughout the full undergraduate curriculum. Supported by the ASEE Engineering for OnePlanet (EOP) Mini-Grant Program, we sought the following objectives: (1) revise materials forCE 218 (Sustainable Engineering) to introduce EOP, (2) revise materials for CE 303(Introduction to Construction Engineering) to integrate EOP outcomes, (3) map EOP outcomesto existing required undergraduate courses, (4) engage CE faculty by introducing the EOPframework and providing opportunities for implementation, and (5) develop a guidancedocument for faculty interested in integrating EOP in courses. These efforts were assessed forboth courses at the University of Kentucky (CE 218 and CE 303) in collaboration
data, translate between textual and mathematical descriptions of systems, gain the skills necessary to implement and test ML functions in Python, and practice presenting data in easy-to-interpret plots. This paper concentrates on the set-up of the course and initial instructor reflections; we have not yet collected student data on how the course is meeting curricular goals.1 IntroductionMore engineering departments are offering, and sometimes requiring, courses on machine learn-ing (ML). Given the breadth of the subject area, it is no surprise that these courses vary consider-ably. Some ML courses focus on the implementation or “how to” aspects; these courses tend to becoding-heavy and may include learning objectives
project involves an on-campusweekend, during which students design and execute an experiment using three or more of theinstrumentation techniques covered in the course. This collaborative project culminates in aresearch paper summarizing their findings. The course redevelopment has resulted in increasedenrollment, positive student evaluations, and several peer-reviewed publications. This modeldemonstrates a successful hybrid approach that ensures distance learners gain equivalent hands-on experience and research opportunities as their on-campus counterparts.IntroductionExplosives engineering is a specialized field that requires not only a solid foundation intheoretical knowledge but also the ability to design, execute, and analyze experiments [1
, Canada, and Singapore; his previous research interests were on nanomaterials for multimodal and deep tissue imaging, and biosensing applications. ©American Society for Engineering Education, 2025 Work-in-progress: Effectiveness of Checklists in Developing Technical Writing Skills1. IntroductionWriting laboratory reports is a foundational skill for undergraduate students in science andengineering disciplines that has long been emphasized by the National Academies, ABET, andprofessional organizations such as American Institute of Chemical Engineers [1-4]. However, aslaboratory instructors, we have often been less than satisfied with both the process of guidingstudents in
communication,a priority shared by industry, government, and other employers. Although technicalcommunication has been formally introduced in teaching-focused engineering programs in thelast decade, the field itself has rapidly evolved. Modern technical communication now leveragesdigital tools to engage diverse audiences—from subject matter experts to the general public—requiring not only mastery of technical writing but also visual communication skills. Thisevolution presents two key challenges for engineering curricula: (1) where should these skills betaught, and in what format? and (2) which instructors are best suited and qualified to deliver thisinstruction? With limited space in the curriculum for standalone technical communicationcourses, many
teamwork experiences. Building on prior work suggestingenhanced performance in diverse teams, this study extends the scope to address team harmony andinterpersonal relationships. Results are expected to provide actionable insights into optimizing teamcomposition in engineering education, enhancing student experiences, and fostering inclusive learningenvironments.1. IntroductionIn today's engineering education, diversity and inclusion play a pivotal role in shaping a progressive andinnovative academic landscape. Embracing individuals from different cultural, social, and economicbackgrounds enriches classroom interactions and drives creativity. Engineering programs aim to providestudents of all genders, ethnicities, and socioeconomic statuses with
Teaching. The project not only succeeded in adapting to theconstraints of remote learning but also demonstrated a forward-thinking approach to embeddingpractical, real-world skills in the curriculum, serving as a model for future education strategies inembedded systems and other hands-on disciplines.1. INTRODUCTIONThe COVID-19 pandemic in 2020 fundamentally disrupted educational systems worldwide,forcing a sudden shift from in-person to remote learning. For engineering disciplines likeembedded systems, which rely heavily on hands-on laboratory work and real-time hardware-software integration, this transition posed unique and significant challenges. The inability to accessphysical tools and collaborative environments risked undermining the
StudentsIntroductionThere is a strong and urgent regional need to increase the production of qualified cybersecurityprofessionals in the workforce. According to the U.S. Bureau of Labor Statistics’ OccupationalOutlook Handbook, jobs related to Information Security Analysis with responsibilities to planand conduct security measures to organization’s computer networks and systems are rated as oneof the fastest-growing jobs in the United States through 2020-3030 [1]. Georgia Department ofLabor predicts a similar trend and forecasts a 16.5% increase in Computer and Mathematicsoccupations in the state of Georgia through 2028 [2]. More specifically, Information SecurityAnalysis occupations are expected to increase by 34.0%, a rate way higher than the average forall
accountability measures and accreditation requirements[1]. One standard method used for continuous quality improvement (CQI) of instruction isthrough different feedback mechanisms [2] for instance, anonymous course review by students atthe end of course sessions. In this process, students provide anonymous evaluations throughfeedback, which is part of internal quality assurance conducted at the end of each course [3], [4].However, there is disagreement among experts and educational stakeholders on the effectivenessand benefits of these practices in the quality improvement of instruction [4]. There is, therefore, agrowing need for a shift towards more innovative and effective ways to qualitatively andquantitatively assess the quality of instruction. This
engineeringeducation. However, students often engage with these languages in two distinct ways: some usethem primarily for numerical analysis and linear algebra, while others leverage them as full-fledged programming languages [1]. The former group tends to write scripts for specific problem-solving, whereas students with prior coding experience develop functions and broadercomputational solutions. 1Students proficient in programming quickly recognize the advantages of structured problem-solving, allowing them to tackle complex engineering challenges more effectively than those whoview MATLAB solely as a mathematical tool. Programming is fundamentally about
be included incurricula of accredited institutions [1]. As a result, college textbook authors began to includeinformation about professional and ethical responsibility in their publications helping to furtherembed ethics in engineering curricula [2]. Over time, these trends have increased scholarlyinterest in the teaching of ethics in engineering educationThough there are two different goals for teaching engineering ethics—on the one hand cognitiveunderstanding, and on the other hand social and moral understanding and behavior—theinstructional methods used to accomplish both appear to be similar. To wit, they have often bothinvolved active learning (specifically use of ethical dilemmas), case studies, and problem-basedlearning [1]. A few
behavioralengagement rather than indicative of learning gains.Literature ReviewVideo is a staple of online higher education, offering a range of affordances that make it a versatileinstructional tool. It is well-suited for exposition, demonstrations, guided processes, and theclarification of complex concepts through narration paired with dynamic imagery [1]. Additionally,the medium supports self-paced learning [1], can aid in the management of cognitive load [2], mayenhance instructor presence [3], and has been shown to foster positive study habits among students[2]. Scagnoli, Choo, and Tian highlight a strong correlation between satisfaction with video learningand positive learning experiences [4], highlighting video’s importance in contemporary
).In addition students reported several unexpected positive outcomes, such as gaining insights intoindustry-standard security measures and securing related internships.1 IntroductionQuantum computing represents a revolutionary paradigm in computational technology, offeringunprecedented capabilities to solve complex problems across various domains. Examples includemachine learning 1 , security 2 , drug discovery 3 , and optimization 4 . The integration of quantumcomputing and cybersecurity presents a paradigm shift that demands a comprehensive reevaluationof our approach to education and workforce preparation. In response, ensuring a secure cyberspacehas been recognized as one of the National Academy of Engineering’s (NAE) Grand
investigation into the validation of theseinstruments supports a larger endeavor to advance assessment tools for entrepreneurialengineering education. Equipping engineering educators with adequate and nuanced assessmentstools could enhance the ways in which best EML practices in the classroom are evaluated withhopes of ultimately improving EML skillsets for engineering students entering professionalpractice.1. IntroductionEngineers are positioned to be impactful contributors to solving modern global problems such asclimate change, food shortages, and sustainable energy [1]. These complex modern challengesoften are ill-structured and require engineers to apply technical skills such as computationalmodeling to solve these problems [2]. Oftentimes, these
) Framework as aguide to integrate sustainability into engineering courses and curriculums. This work in progressdescribes an on-going study developing and delivering faculty development workshops to createadvocates for the Engineering for One Planet (EOP) Framework within their institution.Villanova University College of Engineering (CoE), in partnership with TLF, developed aproject with two nesting goals to provide: 1) knowledge and facilitate development of learningtools for faculty in their individual classes, and 2) a framework for institutionalization ofsustainability principles in engineering schools. While individual courses build students’sustainability knowledge and design application, fully adopting EOP in a curriculum will helpstudents to