sessions, required meetings, and training.From the group of 38 graduate students who have joined the program, 20 are master students,and 18 are pursuing doctoral degrees. Although the majority of the graduate students who havejoined the program (22) are in various areas of engineering, the program has also welcomedstudents from social work, public policy, public health, communication and media, environmentand sustainability, education, business, art and design, and architecture and urban planning. Thecohort of graduate facilitators in the 2024 - 2025 academic year includes nine graduate students.Graduate facilitators join the program for an average of three semesters of facilitation work, withsome of them continuing in the program for up to ten
engineer at the University of Pittsburgh National Surgical Adjuvant Breast and Bowel Project, an independent software process consultant, a client support engineer at Nyfix, and a software development consultant. Zenarosa obtained his PhD in Industrial Engineering from the University of Pittsburgh, Master of Software Engineering from Carnegie Mellon University, MS in Computer Science from Columbia University, and BS in Computer Science from the University of the Philippines. ©American Society for Engineering Education, 2025 Implementing Interconnected Faculty Development Initiatives for STEM FacultyIntroductionWe created a Teaching Excellence Network
undergraduate contexts. Thesefindings underscore the necessity for a standardized curriculum that integratestransdisciplinarity into engineering education.ChallengesThe first challenge is the disciplinary barrier. When we searched for literature, we identifiedmultiple transdisciplinary studies in other disciplines. For example, Block et al. [45] explorethe integration of urban sustainability, Mode 2 Science, and transdisciplinary educationthrough the Master Thesis Ateliers of the Ghent Stadsacademie, focusing on complex and"wicked" urban issues. Meanwhile, Tejedor et al. [47] emphasize the growing importance oftransdisciplinarity for achieving sustainability goals within technological curriculums. Arecurring topic in these studies, including the
the "easy" level, represented by the AIadvanced level, uses a highly optimized Minimax algorithm character "Olivia", the AI does not use any advanced strategywith alpha-beta pruning, a deeper search depth (e.g., 5 moves to make its moves. The goal at this level is to make the gameeasy and enjoyable for beginners. Olivia's moves are mostly highest chance of winning. The strategy assumes the humanrandom, not guided by any sophisticated algorithm. This gives player also plays optimally. The advanced level is the mostthe K-8 students a fair chance to understand the game's rules challenging and is designed for players who have mastered theand
R1 R2 M1Other included: scholar in residence, 1 teaching assistant professor, 1 teaching associateprofessor7 – Very High Research Activity (R1)3 – High Research Activity (R2)2 – Masters College & University (M1) 19Fields reflected amongsample 20 Social and Institutional Environmental Factors Influences
Education.Dr. Gaurav Nanda, Purdue University at West Lafayette (COE) Dr. Gaurav Nanda is an Assistant Professor in the School of Engineering Technology at Purdue University. His research focuses on machine learning and natural language processing applications for data analytics and decision support in areas of safety, education, healthcare, and supply chain. He completed his Ph.D. in Industrial Engineering and postdoc in Engineering Education from Purdue University. He earned his Masters and Bachelors degrees from Indian Institute of Technology (IIT) Kharagpur, India and worked in the software industry for five years before moving to academia.Saloni Parkar ©American Society for Engineering
that they did not possess any prior research experience (76.2%or 16 students), while three students reported possessing a prior research experience in thesummer (14.3%), 1 student reported prior research experience during a previous academicsemester (4.8%), and another student reported having prior research experience throughoutmultiple academic semesters. At pre-program, students reported their future plans that involvedpost-undergraduate education in a science-related field. Almost all students reported plans forpursuing post-graduate education (95.2%). Specifically, 42.9% reported master degree, 33.3%reported doctoral degree, 19.0% medical degree. At post-program, there were no discerniblechanges to future plans.Table 1 displays mean and
and supporting advanced education of U.S. militarypersonnel. This paper reports a collaborative research effort between (a) NU and its communityservice support of wildfire management, (b) the SOEC Master of Science in Computer Scienceprogram, (c) a graduate student with vision (author Allen), who is a recognized national subject-matter-expert on MAFFS, and (d) Colonel Brian Kelly, Vice Wing Commander of the 146thAirlift Wing, Channel Islands Air National Guard in California, the sponsor of this project.Beneficiaries of this research are residents not only in Southern California but throughout all ofCalifornia and other western states at large. Proceedings of the 2015 American Society for Engineering Education Pacific Southwest
web server.4.2.1. Denial of Service AttacksThe main intention of this threat is to interrupt and/or deny services provided by theserver. There is no actual intent to cause damage to files or to the system, but the goal is toliterally shut the server down.4.2.2. Distributed Denial of Service AttacksDistributed Denial of Service (DDOS) Attack is similar to Denial of Service Attack with similarintention. In this scenario, many computers are used to launch an attack on a particular Internetweb server. The computers that are used to launch the attack are called “zombies.” These“zombies” are controlled by a master host computer. It is the master host computer whichinstructs the “zombie” computers to launch the attack on the Internet web server. As
Paper ID #45682SUSTAINABLE CITIES USING RENEWABLE ENERGY A CASE STUDYOF A RENEWABLE CITYMr. Omar McFarlane Sweeney, University of Florida Omar Sweeney is an astute Engineering Professional with three decades of experience, specializing in Civil, Construction Engineering and Project Management. Throughout his professional career, he has successfully led the charge for several major Government-related and social intervention programs and infrastructural projects. He holds a Master of Engineering from the University of Florida. He has completed postgraduate executive training programs at the London School of Economics
appointment in Engineering Education. His research interests include engineering identity, self-efficacy, and matriculation of Latine/x/a/o students to graduate school. He works with survey methods and overlaps with machine learning using quantitative methods and sequential mixed methods approaches.Dr. Janice Mej´ıa, Northwestern University Dr. Mejia is an Associate Professor of Instruction in the Department of Industrial Engineering and Management Sciences. She also teaches in the Design Thinking and Communication (DTC), Masters in Engineering Management (MEM), and College Prep programs. Her research interests focus on mixed methods research in engineering education, curriculum assessment and development, and engineering
, decision support systems, project management and curriculumdevelopment. He has taught and served as the course director for numerous engineering courses inSystems Design, System Dynamics and Production Operations Management. He currently serves as theDeputy Director of the Systems Engineering Program.Lieutenant Colonel Michael J. Kwinn, Jr. (US Army) LTC Michael J. Kwinn, Jr., Ph.D. is anAssociate Professor of Systems Engineering at the United States Military Academy at West Point wherehe currently directs the Systems Engineering and Operations Research programs.. Mike graduated fromthe United States Military Academy at West Point in 1984 and has Master of Science from the Universityof Arizona, a Master of Arts in National Security and Strategic
also a Recipient of the 2009 Philip Hubbard Uncommon Leadership Award, College of Engineering, at University of Iowa. He received his BS in Chemical Engineering from Obafemi Awolowo University, Ile-Ife, Nigeria and MS in Environmentally Sustainable Process Technology from Chalmers University of Technology, Goteborg, Sweden. He received another MS degree and a PhD in Chemical and Biochemical Engineering from University of Iowa, Iowa, USA.Mr. Joseph Dowell An electrical engineering PhD student at Prairie View A&M University. Originally from Killeen, Texas. Graduated from Prairie View with my Bachelors and Masters in Electrical Engineering. Doing research on renewable energy system reliability, in an effort to
Paper ID #46467Challenging the Engineering Egosystem: Reimagining Knowledge and AdvancingEpistemic JusticeDr. Cristian Eduardo Vargas-Ordonez, South Dakota School of Mines and Technology Cristian Vargas-Ordonez is an Assistant Professor of Mechanical Engineering at the South Dakota School of Mines. He has a Ph.D. in Engineering Education from Purdue University, a Master in Education from the University of Los Andes in Colombia and a Master in Science, Technology, and Society from the National University of Quilmes in Argentina.Mr. Hector Enrique Rodr´ıguez-Simmonds, Purdue Engineering Education H´ector was born in
, which focuses on the mechanics of learning and not so much on the lens of socialjustice. Many authors developed apprenticeship as a social theory of learning in various areas ofcognition and learning. In formulating a theoretical perspective for studying the workforce andhigher education, the goal is to revisit apprenticeships and update the theory for the socio-economic demands of 2024. The work of Pratt in 1992 and furthered by Guile & Young in 1998gives context when developing a curriculum that satisfies CE apprenticeship training. Prattmentions four main elements in understanding apprenticeship: "the apprentice as learner, the ideaof trade or craft knowledge as fixed and unproblematic, the master as teacher and the idea thatlearning in
Paper ID #49402Evaluating the Use of System Mapping Tools to Support Researcher Understandingof Knowledge Diffusion in the Bio-economyMiss Khadija Ishfaq Rana, University of Toronto Khadija Rana is a Master’s graduate at the Department of Chemical Engineering and Applied Chemistry. She was co-supervised by Professor Emily Moore at ISTEP, and Professor Emma Master at BioZone. Their research uses a systems thinking approach to illustrate Canada’s circular bio-economy and identify ways that engineers contribute to socially just, sustainable global development. She is curious about how engineers build a shared understanding of
-engineering background.Approximately 200,000 engineering jobs are created per year, yet traditional educationalpathways for engineers are awarding only about 142,000 engineering degrees per year [6], [7].By focusing in on individuals with a non-engineering background, a larger pool of untappedengineering workforce potential that can assist in fulfilling the need for engineers is created. Beyond this, focusing on mid-career individuals means identifying streamlined means ofmolding engineers. In this study, mid-career refers to individuals with 10 to 20 years ofexperience; this stage is where many professionals master and maintain skills, begin taking onleadership roles, and reevaluate career goals [8]. Understanding how mid-career
change at the organizational level [10]but can also be viewed as the individual changing based on the requirements of their neworganizational setting. Deep unlearning causes people to question their assumptions, often basedon unusual experiences, defined by Garud et al. [13] as “situations that bear little or noresemblance to the types of experiences that have occurred in the past” [p. 587]. Receivingnegative feedback for behaviors that previously received, for example, good grades, could be anexample of one such unusual experience.Quick changes may be required in the work environment to adapt to new situations. Whilestudents who have mastered performance under a professor-student dynamic may need to adjusttheir behavior, the nature of the
Bachelor 2024-25 11% 12% 2028-29 2025-26 Master 39% 16% 23% PhD 66% 2026-27 2027-28 21
Paper ID #45655Dedicated Blockchain for the Generation of Digital Certificates and Badgesin UniversitiesRodolfo Andr´es Rivas Matta, Florida Altantic UniversityDr. Jose Texier, LACCEI Assistant Director of ”The Latin American and Caribbean Consortium of Engineering Institutions” (LACCEI). Computer Engineer UNET (2002, Venezuela). Master of Computer Science, University of the Andes (2008, Venezuela). PhD in Computer Science from the National University of La Plata (2014, Argentina). Invited Professor and Researcher Universidad Nacional de Chilecito (2014-2023, Argentina). Ex professor UNET (2003-2015). The research areas are
University of the Incarnate Word, in San Antonio, TX. He is the PI and Director of the Autonomous Vehicle Systems Lab.Ing. F´elix Mart´ınez-Jim´enez, Tecnologico de Monterrey, School of Engineering and Sciences F´elix Mart´ınez-Jim´enez is a Master of Science in Engineering student at Tecnol´ogico de Monterrey. He holds a B.S. in Mechatronics Engineering from Tecnol´ogico de Monterrey. He works as a teacher assistant in the mechatronics department and forms part of the electromobility research group at Tecnol´ogico de Monterrey. His main research interests are predictive control, autonomous vehicles, and embedded systems.Carlos Vazquez-Hurtado, Tecnologico de Monterrey, School of Engineering and Sciences Carlos V´azquez
;sig=Q9aCj2ezHxdMUMA-f2voZnrH1gQ[ Accessed: 19April2025].[25] J. Jung et al., ‘Part-time master’s students’ attitudes towards study and work’, Stud. Contin. Educ., pp. 1–18, 2023 [Online]. Available: 10.1080/0158037X.2023.2254244.[26] M. A. O. Cohen and S. Greenberg, ‘The Struggle to Succeed: Factors Associated with the Persistence of Part-Time Adult Students Seeking a Master’s Degree’, Contin. High. Educ. Rev., vol. 75, pp. 101–112, 2011.[27] F. Heidari, ‘Master of Science Degree in Indsutrial Management Designed for Technical College Instructors in Engineering and Technology’, presented at the 2014 ASEE Annual Conference & Exposition, 2014, p. 24.886.1-24.886.10[Online]. Availablehttps://peer.asee.org
Paper ID #46866BOARD # 79: Student-led VR Content Creation for Engaging EngineeringLearningNicholas Cameron Amely, California State University, FresnoDr. Wei Wu, California State University, Fresno Wei Wu, Ph.D., is a Full Professor and Chair of the Department of Construction Management at Lyles College of Engineering at California State University, Fresno. He received his Bachelor of Engineering in Built Environment and Equipment Engineering from Hunan University in China in 2004, Master of Science in Environmental Change and Management from the University of Oxford in the UK in 2005, and Doctor of Philosophy in Design
. CurrentAI applications often require substantial computational resources and technical expertise that manyeducational institutions struggle to provide. Additionally, the rapid evolution of AI technologiescan create a disconnect between educational tools and industry-standard applications, potentiallyleaving students with skills that quickly become outdated. The complexity of AI systems can alsoobscure fundamental construction principles that students need to master, raising concerns aboutthe balance between technological proficiency and core domain knowledge.The evolution of sustainable construction education cannot occur in isolation from industrypractices. Tian [20] and Zhang [21] underscore the vital importance of industry partnerships inshaping
every case, trust—the willingness ofone agent to accept vulnerability to another’s actions—is the invisible contract that keepsthese socio-technical interactions from degenerating into costly conflict (Mayer et al., 1995;Nahapiet & Ghoshal, 1998). For undergraduates in artificial intelligence (AI), computerscience (CS), electrical and electronic engineering (EEE), data science (DS), and allied majorswho will soon design such agents, learning to engineer trust-sensitive logic is therefore ascritical as mastering gradient descent (Robbins & Monro, 1951).Yet today’s curricula usually relegate trust to checklist notions of transparency oraccountability, offering little guidance on how cooperation forms, unravels, or can berepaired (Nguyen
, funding institutions, and associations.Prof. Camila Zapata-Casabon, Universidad Andres Bello Master in Marketing and Market Research from the University of Barcelona, Spain. Industrial Civil Engineer from the Universidad del B´ıo-B´ıo. She has three diplomas in the areas of coaching, digital marketing and equality and empowerment of women. Her professional experience is linked to higher education as a project engineer and university management in the public and private area. Teacher at different universities in matters of entrepreneurship, business plans and marketing. She currently works as a teacher and academic secretary at the Faculty of Engineering of the Andr´es Bello University. The areas of research interest
ways that lay “the foundations for a lifetime of continuingeducation” [3] - [8]. Despite the reported benefits however, the design and implementation of PBLenvironments for engineering education is challenging for several reasons; problem design,facilitation, and assessment represent specific facets of PBL that are particularly challenging andhinder broader adoption of PBL partly due to the lack of methodological tools for faculty who planto implement PBL as their course instructional design [9] - [13]. Assessment specifically is of greatimportance as assessing students’ learning provides valuable feedback to students on their graspof core concepts, problem-solving abilities, and progress in mastering essential skills. It also
.OpenAI. (2024) Prompt Engineering Guide. OpenAI Documentation,https://platform.openai.com/docs/guides/prompt-engineering, accessed 1/15/2025.Lewkowycz, A., Andreassen, A., Dohan, D., Dyer, E., Michalewski, H., Ramasesh, V.,Slone, A., Anil, C., Schlag, I., Gutman-Solo, T., Wu, Y., Neyshabur, B., Gur-Ari, G. &Misra, V. (2024). Solving Quantitative Reasoning Problems with Language Models. InProceedings of the 36th International Conference on Neural Information Processing Systems(NIPS '22). Curran Associates Inc., Red Hook, NY, USA, Article 278, 3843–3857.OpenAI Developer Forum (2023). Cheat Sheet: Mastering Temperature and Top-p inChatGPT API." OpenAI Community, https://community.openai.com/t/cheat-sheet-mastering-temperature-and-top-p-in
more physical processes using one or morebehavior models [16, 18].” The Multi-Fidelity Digital Twin Education Framework, maps differentDT functionalities to education levels, and training needs based on the Bloom’s Taxonomy and theKirckpatrick model; presenting a scalable approach to define software design requirements basedon learning outcomes [19, 20], as illustrated in Figure 1. Bloom’s taxonomy’s six cognitive levels-Remember, Understand, Apply, Analyze, Evaluate, and Create - are assigned to different stages ofeducation: Undergraduate, Master, and Doctoral degrees based on their learning outcomes. In thepresented Multi-Fidelity Digital Twin Education framework, we used multi-fidelity digital twin asa core concept and mapping to different
, only 11% of the Hispanic students inSouth Texas were at Masters Grade Level for all grades in Mathematics, compared to 24% forthose classified as white and 50% for Asians [1]. Masters Grade Level refers to those studentswho are expected to succeed in the next grade or course with little or no academic intervention asthey demonstrate the ability to think critically and apply the knowledge and skills gained [1]. In2024, for all grades in Science, only 8% of the Hispanic students in South Texas were at MastersGrade Level, compared to 24% of students classified as white and 38% for Asians [1]. For the2022-23 annual graduates in South Texas, 19.2% were at or above SAT/ACT criterion (lowerthan the state average of 28.9%), with only 13.3% of