FUTURE DIRECTIONSMechanical Engineering curriculum. Some of the results from The biggest limitation in the current implementation of thisthis survey are presented in Figure 5. Four of the students course is the lack of open-ended design problems. Whilestrongly agreed that the course increased their level of students currently get a lot of practice with analyzing thepreparedness for becoming an engineer, while one agreed and kinematics and kinetics of mechanisms, they do not see manyone was neutral. I think this is a very positive outcome, seeing problems which task them with designing a system to produceas Mechanisms is a rather difficult course. I believe confidence desired results. The only
achievement in engineering education," International Journal of Educational Sciences, vol. 14, no. 3, pp. 174-186, 2016.[6] R. Raman, M. Mitchell, P. Perez-Pinera, R. Bashir, and L. DeStefano, "Design and integration of a problem-based biofabrication course into an undergraduate biomedical engineering curriculum," Journal of Biological Engineering, vol. 10, no. 1, p. 10, 2016/09/21 2016.[7] B. N. Pasi, V. V. Shinde, and M. R. Chavan, "Teacher’s perception towards their role in Course Level Project-Based Learning environment," Journal of Engineering Education Transformations, vol. 33, no. 1, pp. 91-94, 2019.[8] T. Gomez-del Rio and J. Rodriguez, "Design and assessment of a project-based learning
ethical considerations. Theoretical FrameworkOur analysis integrates three complementary theoretical perspectives to understand AI's role inengineering education. Building on Sweller's (1988) Cognitive Load Theory, we examine howAI tools can reduce extraneous cognitive demands in complex engineering tasks. Mayer's (2019)analysis of multimedia learning environments demonstrated that AI-supported cognitivescaffolding reduced cognitive load by an average of 35% while improving problem-solvingaccuracy by 42%. These findings align with Johnson and Smith's (2018) longitudinal study of1,200 engineering students, which found that AI-enhanced mastery experiences led to a 40%increase in student self-efficacy ratings and
thetraining and support necessary to effectively implement these practices in their classrooms. Ourstudy addresses this gap through a pioneering year-long inclusive excellence facultydevelopment program designed to enhance engineering faculty members' understanding andapplication of inclusive and equitable pedagogical approaches.The year-long program consists of two phases. In the first phase, the faculty participate in asynchronous, weekly training during the spring term. The training curriculum integrates acomprehensive array of topics presented by experts. Curriculum topics include critical pedagogy,structural racism in engineering, inclusive teaching practices, and strategies for advocating fordiversity, equity, and inclusion within the current
critical thinking abilities they needto responsibly navigate and contribute to an AI-driven world.1. IntroductionArtificial Intelligence (AI) has become a transformative force across industries, redefining theworkforce and global problem-solving approaches, from healthcare innovations to environmentalsustainability efforts [1], [2]. Just like integrating computer science understanding and skills intothe curriculum has gained momentum in recent years, so is true for AI. Students need to betterunderstand how the technology works and how to use it properly. Despite the need for studentsto understand how AI works, disparities in Kindergarten through 12th grade (K-12) AI educationpersist. This leaves many students unprepared to navigate an AI
Paper ID #45161An examination of the gender gap among Middle Eastern students in Engineering:A systematized reviewMrs. Narjes Khorsandi Koujel, Rowan University Narjes is a Ph.D. student in Engineering Education at Rowan University. She earned a bachelor’s degree in industrial engineering in Iran and subsequently worked as an industrial engineer in the food industry for over 10 years. Narjes’ research and activism focuses on women in the Middle East. Particularly, she is focused on how resources, culture, and gendered norms impact their engineering identity development.Dr. Justin Charles Major, Rowan University Dr. Justin C
2teaching syntax and basic concepts, they did little to demonstrate the relevance of programming toBME. Recognizing this, I began transitioning the material in 2023 to include domain-specificexamples, with the final transition completed in 2024. The course now fully integrates biologicaland mathematical challenges into its curriculum. Course Structure and ExamplesThe course consists of nine weekly labs, two exams (one in C++ and one in Python), and a finalgroup project. Each lab builds progressively on the previous material and incorporates practicalapplications. The final project allows students to explore topics of their choice within cellularautomata modeling. Since 2022, we have had 35 projects, covering topics
paper presents the integration of Peer-led-Team Learning (PLTL) and design thinking (DT) toimprove student success in Engineering Statics, which is a gatekeeping class for mechanical andaerospace engineering (MAE) students. The MAE department at the University of Texas Arlington(UTA) offers multiple sections of Engineering Statics each semester with an average passing rate ofaround 70% in the past several years. In spring 2024, UTA Division of Student Success introducedPLTL to this course with a professor from the MAE department serving as the faculty liaison. Themain task of the faculty liaison was to develop the weekly PLTL packages, which typically consist ofa set of problems that the peer leaders (PLs) would guide the students to solve. In
grant funding or industry partnerships.Dr. Kinnis Gosha, Morehouse College Dr. Kinnis Gosha (Go-Shay) is an Assistant Professor in the Department of Computer Science and Director of the Culturally Relevant Computer Lab at Morehouse College. Dr. Goshaˆa C™s research interests include conversational agents, social media data analytMrs. Talia Capozzoli Kessler, Georgia Institute of Technology Talia Kessler, MSPP is a research associate at The Center for Education Integrating Science, Mathematics, and Computing (CEISMC) at Georgia Tech. As a research associate, she works on research and evaluation projects centering on K-12 STEM education. She has a Master’s degree in Public Policy from the Georgia Tech and is currently
teaching of design methodologies, on solid mechanics and tribology, biofuels and nanofluids, and on design optimization by QFD-TRIZ integration. He has authored over 30 journal papers and a book chapter in tribology. ©American Society for Engineering Education, 2025 On teaching technical writing in an introduction to engineering design classAbstractThe author created a new course, MENG 2110 – Mechanical Engineering Case Studies in Designand Analysis, that introduces the modern design methods as well as the techniques of technicalreporting and communication of design solutions and engineering outcomes that are utilized inthe industry practice. The class requires
opportunities and challenges. deployment of AI.Our camp developed a custom curriculum to give the participants a learningexperience that is often curated toward college students and early careerprofessionals.We partnered with highly regarded faculty (and their graduates students) tointroduce the history of AI, how it has developed and some of the dangers ofthe increased reliance on technologyFaculty from our partner institution led workshops and discussions onunderstanding and forming ethical and moral positions.The students worked in groups to develop projects and complete assignmentsthroughout the week, with assistance of academic and industry leaders toreinforce their
, such as writing, coding, orsolving problems. Thus, education must evolve to teach students how to use this tool effectivelyand evaluate the quality of its work. Educators should aim to incorporate AI into their classroomsin ways that help students develop these skills so that students will be better prepared tocontribute to society in the future 3 .However, there are concerns about ethical implications relating to the grey areas of AI, such asprivacy, bias, and accountability 4 . Applied specifically to education, AI’s integration riskscreating an over-reliance on external tools, potentially hindering students’ ability to recall andapply knowledge independently. Educators have also raised concerns about the potential for“academically dishonest
Paper ID #49643Incorporating Sustainability Knowledge into Construction Education Curriculum:A Case Study of Earthen MasonryRoy Uzoma LanMr. Chinedu Okonkwo, The University of Texas at San AntonioDr. Ibukun Gabriel Awolusi, The University of Texas at San Antonio Dr. Ibukun Awolusi is an Associate Professor in the School of Civil & Environmental Engineering, and Construction Management at The University of Texas at San Antonio. His research interests and expertise are in construction safety and health, automation and robotics, innovation and technology integration in construction, sustainable materials and
Paper ID #45181Fostering an Inclusive Community Among Electrical Engineering Studentswith Mixed-Reality Technologies at a Hispanic-Serving InstitutionPreeti De Maurya, New Mexico State UniversityHilda Cecilia Contreras Aguirre, New Mexico State University Hilda Cecilia Contreras Aguirre received an Ed.D. degree in Higher Education Leadership from Texas A&M University-Corpus Christi (TAMU-CC), and an M.Sc. from the University of Technology of Compi`egne, France. She is now a researcher at New Mexico State University (NMSU). She focuses her research on qualitative studies addressing minority and underrepresented student
in a proposed FEConstruction Exam or the changes required in Construction Engineering (CONE) programcurricula to better align them with the existing FE Civil Exam. NCEES, academia, and industrystakeholders should conduct such studies collaboratively to ensure any proposed changes reflectboth academic preparation and industry needs.Developing a dedicated FE Construction Exam that aligns with the core competenciesemphasized in Construction programs would ensure a fairer licensure process for graduates.Revisiting curriculum design to integrate foundational topics like Fluid Mechanics andEnvironmental Engineering, which are critical for licensure and industry success, would furtherbridge the gap between academic preparation and licensure
Paper ID #45457Engineering Student Retention: Integrating Corporate Onboarding Practiceswith Social Identity and Self-Determination TheoriesDr. Hai T Ho, Kennesaw State University Hai T. Ho, Ph.D., NPDP, ABET PEV - Dedicated faculty, coach, and mentor who helps others reach their full potential. An industry expert in leadership, management, and product development. * Over 25 years of industry experience ranging from start-up to Fortune 500. * Named inventor on 17 patents and numerous innovations. * Ten plus years academia as department chair and faculty. * Coached and mentor many dozens of students and young professionals
learning in an NLP course?B. Which tools and techniques most effectively demonstrate NLP’s interdisciplinary applications,particu-larly in tasks like sentiment analysis in underrepresented languages?C. How can ethical issues, including AI bias, be integrated into the curriculum to promote sociallyrespon-sible understanding?[5]. Framework for NLP Education Theoretical Instruction Interdisciplinary Case Studies Interactive Tools Real-Time Feedback System Jupyter Notebooks Python Libraries (e.g., NLTK, SpaCy) Personalized Feedback Applications in
Paper ID #45840Application of a House of Quality Intervention in an Engineering CapstoneDesign CourseDr. James Righter, The Citadel James Righter is an Assistant Professor of Mechanical Engineering in the School of Engineering (SOE) at The Citadel. He earned his BS in Mechanical Engineering at the U.S. Naval Academy, his MS in Military Studies from the Marine Corps University Command Command and Staff College, and his PhD in Mechanical Engineering from Clemson University. His research interests include engineering leadership, design methods, engineering design education, and manufacturing.Dr. Nathan John Washuta P.E., The
ranked academic unit at Wake Forest University. Olga is a national thought leader in higher education and engineering education. She is a biomedical and mechanical engineer as well as an STEM education researcher.Dr. Melissa C Kenny, Wake Forest University Dr. Melissa C Kenny is an assistant teaching professor in the department of Engineering at Wake Forest University. ©American Society for Engineering Education, 2025 Transforming Engineering Education Through an Integrated Academic and Career Advising Model: A Theory-Informed Model for Educating the Whole Engineer at Wake Forest EngineeringABSTRACT - Higher education faces mounting criticism regarding cost, job preparation,curriculum
Paper ID #45136An exploration of the relationship between physical, social, and emotionalresource access and the development of engineering identity and belongingAnne-Marie C.A. Zamor, Rowan UniversityDr. Justin Charles Major, Rowan University Dr. Justin C. Major (they/them) is an Assistant Professor of Experiential Engineering Education at Rowan University where they leads ASPIRE Lab (Advancing Student Pathways through Inequality Research in Engineering). Justin’s research focuses on low-income students, engineering belonging and marginalization mechanisms, adverse childhood experiences, and feminist approaches to EER, and
Paper ID #49763Mindset Matters: Exploring Grit and Attitudes in Engineering and CS Undergradsin an NSF S-STEM funded programDr. Tina Johnson Cartwright, Marshall University Dr. Tina Cartwright is a professor of science education at Marshall University. She collaborates with colleagues across both the Colleges of Science and Engineering and Computer Science to support student success in STEM.Julie Lynn Snyder-Yuly, Marshall University Julie Snyder-Yuly, Associate Professor Department of Communication Studies, Marshall University (Ph.D. University of Utah, 2017). Dr. Snyder-Yuly’s research engages qualitative and
Integrity 6. Academic Integrity 3. Respect for the Law 7. Health and Safety 4. A Culture of Trust 8. Accurate RecordkeepingABET Ethics Example: The curriculum must include topics related toprofessional and ethical responsibilities, diversity and inclusionawareness, quality, and continuous improvement. ([…], 2024; ABET, 2024)Why Ethics Matters in an Education Setting• Within our STEM curricula, this means we teach to the professional codes of conduct, such as the IEEE and AMC Codes of Ethics, and facilitate discussions on how to apply and uphold these principles in decision- making and
Paper ID #49642Integrating Artificial Intelligence into Construction Education: Assessing theImpact on Students’ Perception of Knowledge, Confidence, and Relevance toCareerMr. Chinedu Okonkwo, The University of Texas at San AntonioRoy Uzoma LanDr. Ibukun Gabriel Awolusi, The University of Texas at San Antonio Dr. Ibukun Awolusi is an Associate Professor in the School of Civil & Environmental Engineering, and Construction Management at The University of Texas at San Antonio. His research interests and expertise are in construction safety and health, automation and robotics, innovation and technology integration in
Infrastructure (NEVI) program from 2022 to2026. Through qualitative thematic analysis of nationwide state As states implement NEVI funding, varying readinessrepresentatives' perspectives, the study identifies key strategies, levels to train EV technicians emerge, revealing gaps inchallenges, and regional variations in workforce development. strategic planning, budget allocation, and stakeholderThe findings underscore the essential role of skilled technicians engagement. Some states have actively integrated EV-relatedin facilitating the rapid growth of EV adoption and supporting training into community college curricula and partnered withcharging infrastructure. While some states have established industry
by a stepper motor, ensuring controlled drugyet to create practical implementations that integrate CNN- delivery at a calculated rate:LSTM methodology with real-time therapeutic systems forpersonal treatment, which follows standard seizure detection Q = RP M × V (2)approaches described in [23] and [24]. An integrated system delivers VNS technology with a CNN- Where: - Q is the flow rate in mL/min, - RP M is the motorLSTM model and drug delivery systems as one functional unit. speed in rotations per minute, - V is the volume displaced perSeizures are detected through ECG motion data entry with revolution.real-time detection and adjustable intervention responses that
Paper ID #45801Capstone Projects in Virginia Civil Engineering Programs: A ComprehensiveReview of Practices and an assessment of Virginia Military Institute’s OutcomesDr. Rebekah L Martin, Virginia Military Institute Dr. Martin completed her bachelor’s in Civil and Environmental Engineering at Bucknell University and her PhD in Civil Engineering at Virginia Tech. She is currently an assistant professor at VMI teaching fluids, environmental engineering and water resources courses. Her research focuses on drinking water quality and public health. She also co-advises the Society of Women Engineers at VMI.Dr. Kacie Caple
to master during the camp. This approach placed an additional cognitiveburden on students during the activity, detracting from its intended impact. To address this, futureiterations of the camp should integrate more practical, skill-focused instruction earlier in theprogram. Collaborating with the programming course to incorporate instruction on programmingand Arduino could make the BB84 QKD activity more interactive and less reliant onpre-assembled tools. This change would empower students to engage with the materials moredeeply and confidently. Introducing small-group collaborations or gamified elements could alsoincrease and enhance the collaboration among students. Finally, as this was my first experienceteaching a workshop of this kind
core curriculum.Within engineering, students often work as part of an integrated team. This was a new concept forstudents in the other disciplines. The “teamwork” almost became separate independent tracks thatcame together at the end. The teams seemed to work in a multidisciplinary rather than interdisciplinaryframework: each student in the team had their task to perform and those tasks were joined together at Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 7the end. In future offerings we
andunderstanding of their own teaching processes [3]. AI, especially in knowledge representation andelicitation, can significantly aid teachers’ metacognitive skills and professional development byenabling detailed, context-specific reflection and adaptive decision-making [3]. Researchers [4]investigate how generative AI, as an advanced innovative tool, can transform engineeringeducation by creating content, enhancing personalized learning, and updating curricula efficiently.Yelamathi et al. (2024) [4] collected data through literature reviews and analysis of AI tools fromengineering fields. They found that generative AI can improve personalized learning andstreamline curriculum updates, enhancing education quality. However, their study [4
helpsstudents take responsibility for their educational journey through a curriculum focusing on academicengagement and community-building. All full-time, first-time students enroll in a semester-longcourse that delivers this curriculum MWSU 1230. All sections are capped at 20 and include a facultyand/or staff mentor and a peer educator, who is responsible for delivering the common curriculum.A customized Mustangs Adventure Guidebook provides activities (adventures) and promptsreflecting the course goals and Student Learning Outcomes. Students meet weekly to reflect on anddiscuss their adventures. To earn credit for MWSU 1230, students must complete all assessmentsand five adventures, and may have no more than three absences