curriculum andsome heavily rely on the senior design course or the capstone project to achieve this. Based on datacollected over the past few years in the Mechanical Engineering department at Texas A&M, werealized that our students are not ready for the capstone experience. This triggered a multi-year NSF-funded project, aiming to better equip our students with the much-needed “soft” teamwork skillsbefore they start their engineering careers. Finding time to fit new teachings materials into analready busy and dynamic curriculum can be a challenge. Substantial changes to the currentcurriculum are not feasible either. Another important consideration is our class size. The MechanicalDepartment at Texas A&M has close to 500 students involved in
generated by firms withtwenty or fewer employees. Large firms with over five hundred employees generate less thanfifteen percent of all new jobs6. Students have to learn to design in a way that is ethical, sociallyconscious, environmentally sound, and globally aware7. Education must make active learning thepredominant technical student learning mode8. This paper explores the idea of reducing waste,reusing and recycling as a tool for teaching innovation in an inexpensive and impactful approach. The ConceptStudents can develop entrepreneurial skills by working to generate, evaluate, develop, and markettheir innovation. Faculty members should be encouraged to participate as student team mentors.At the
universities are playing catchup since the AI tools are new and AI hasexperienced rapid adoption by students [2]. The most widely used AI tool is ChatGPT, which wasreleased in November 2022 [3]. Engineering faculty organized national conference panel discussionsto help their communities understand the impacts of ChatGPT [1]. Concerns about ScholasticDishonesty (SD) as well as optimism about the possibilities of increased student learning are beingdiscussed [4]. SD concerns are widely anticipated where AI tools can write sections of reports so thattraditional plagiarism detectors will not flag the work [5]. The potential negative impact of AI-assistedwriting is more widely recognized than the potential positive impacts. Positive impacts are
Department University of Texas at San Antonio Logan Heck Mechanical Engineering Department University of Texas at San Antonio Madhavrao Govindaraju, Ph.D. Mechanical Engineering Department University of Texas at San AntonioAbstract In the realm of education, the prevailing focus on rote memorization often eclipses thenecessity for a holistic and multifaceted approach to student learning. While factual recall remainscrucial, more than an overreliance on this method is needed for the enduring comprehension andpractical
Baylor University Joseph A. Donndelinger Mechanical Engineering Department Baylor University AbstractLike many undergraduate engineering programs, students in Baylor’s Engineering Design Coursesparticipate in multi-disciplinary teams in semester-long design challenges as part of a two-coursesequence required in the undergraduate curriculum. In addition to the structured technical designprocess, design-course students are also required to complete individual development assignmentsdesigned to enhance each student’s growth as an individual contributor and team member. Theprogram requires students to
Paper ID #44731Defining the Murky Middle for an Engineering ProgramDr. Kenneth R. Leitch P.E., West Texas A&M University Kenneth R. Leitch holds a Ph.D. in civil engineering from New Mexico State University and M.B.A. from Colorado Christian University. He is an Associate Professor of civil engineering at West Texas A&M University in Canyon, Texas. He is a registered P.E. in Texas and Indiana. ©American Society for Engineering Education, 2024 1 Defining the Murky Middle for an Engineering Program Paola Alonzo, Pamela
-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright © 2024, American Society for Engineering Educationdynamics of classrooms. This paper discusses the relationship between large language models likeChat GPT and their effects on educational approaches. The goal is to incorporate technology in away that improves learning while maintaining ethical principles and the human touch in education.We must assess ML and AI's opportunities and challenges in shaping education's future. This paperaims to explore how these technologies introduced in specific ways to certain classes influencestudent psychological well-being, ethical considerations, cognitive skills, pedagogical
ConclusionsThis article proposes a revolutionary instructional approach for engineering education byintegrating microfluidic devices and material characterization tools. Focused on fundamentalengineering principles, the strategy offers students hands-on experiences in thermodynamics, heattransfer, and crystallization. Microfluidic devices, with applications spanning various disciplines,enhance experiential learning by manipulating small fluid volumes. Integrating materialcharacterization tools, particularly the differential scanning calorimeter, complements thisapproach, validating findings and providing more profound insights. Emphasizing activeexploration and critical thinking, this transformative pedagogy sets a new standard, preparingstudents for
employment or extensions of theirinternships from the companies they interned with. Students noted an overall positive perception ofinternships and emphasized that the importance of having an internship was for them to reach theireducational goals. The findings generated from the present study not only corroborate the generallypositive perception of student internships reported in the literature but also provide new insights intothe multifaceted nature of student internship experiences, especially challenges and personal growthopportunities. IntroductionAs engineering students move through their education, they learn many skills that they will utilize inindustry jobs following their graduation. They also
witharduous challenges.[2] Furthermore, the inclusion of capstone projects has shown improvement inteamwork dynamics, the ability to develop leadership skills within an independently-leadproject.[3] Thermodynamics, heat transfer, and fluid mechanics are critical courses that are coveredin engineering degree programs. The theory and knowledge gained by students in each of thesecourses culminates in the thermo-fluid design capstone. This curriculum expects students to bringtheir combined aforementioned knowledge and technical skills to develop and produce a workingsystem as part of a team collaboration that meets the needs of their respective customers. Theimportance of such courses and projects is to introduce students to the environment that they
Pharmaceutical Education 86, 908–915 (2022).35. Carberry, A. R., Atwood, S. A., Siniawski, M. T. & Diefes-Dux, H. A. A comparison and classification of grading approaches used in engineering education. in 47th SEFI Annual Conference 2019-Varietas Delectat: Complexity is the New Normality 216–225 (European Society for Engineering Education (SEFI), 2020).36. Feldman, J. Grading for Equity: What It Is, Why It Matters, and How It Can Transform Schools and Classrooms. (Corwin Press, 2023).37. Ko, M. E. Revolutionizing Grading: Implications on Power, Agency, and Equity. in 2021 ASEE Virtual Annual Conference, ASEE 2021, July 26, 2021 - July 29, 2021 (American Society for Engineering Education, Virtual, Online, 2021
overall engineering curriculum, but given the potential this technology has, there is a hopethat much of the time dedicated in an engineering curricula could better be used probing the mindsof students to address new and more grand challenges at earlier stages in their development asengineers. LimitationsIt is important to consider that the study sample was drawn exclusively from Texas A&MUniversity, which complicates the generalizability of the results to the engineering educationcommunity at large. To address this, it would be important to replicate this type of study at a varietyof institutions in order to gain a broader perspective. Despite the substantial sample size, it remainscomplex to
Ph.D. in Electrical and Computer Engineering from the New Mexico State University and worked in the industry from 1996- 2004 in various positions. His interests are in engineering education, control systems, and image and signal processing. ©American Society for Engineering Education, 2024 Implementation of Non-linear Oscillators Using Analog Computers for the Study of Chaotic Oscillators Benjamin C. Flores and Hector Erives-Contreras The University of Texas at El Paso AbstractOver the past decade, we have offered a course dedicated to the study of chaotic signals andsystems
against the PLC. OT/ICS Security Course Project Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright © 2024, American Society for Engineering Education 8 Fig. 3. OT/ICS Course Project FlowchartIn this section, we share the student’s experience from his perspective as he worked throughthe project.The approach used to conduct experiential learning in the OT ICS security course project wascompleted in six major steps. The first step involved building a basic OT/ICS circuit with a CLICKPlus PLC and other