students’ experiences and senior engineering students’ graduation plans. She previously worked on a longitudinal study researching how varying first-year experience structures affect students’ engineering identities and involvement in communities of practice. Shaylin now serves as an Assistant Professor for the University of Virginia’s First Year Engineering Center and is interested in learning more about what contributes to engineering students’ success, how they can get the most out of their undergraduate programs, and how programs can be better designed to cater to students’ needs.Dr. Deepyaman Maiti, University of Virginia Deepyaman Maiti is currently an Assistant Professor in the Department of Engineering and
percentage varies dramatically across differentnations. Most organizations have not made any advancements due to the numerous obstaclesencountered in implementing Industry 4.0. Studies have demonstrated that adopting Industry 4.0is an intricate undertaking, and numerous organizations in various nations are encounteringchallenges due to diverse obstacles [5]. Hence, it is imperative to recognize the obstacles andtheir interconnections that might facilitate the development of a mitigation plan, ultimatelyresulting in a more seamless integration of Industry 4.0 [6]. A limited number of scholars havedone scientific studies on the obstacles that hinder the implementation of Industry 4.0technology. Prior studies have relied on empirical data collected
2010 he has been a Visiting Associate Professor at the Electrical and Computer Engineering Department, Michigan State University. From 2014 to 2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is Associate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV.Dr. Nebojsa I Jaksic P.E., Colorado State University, Pueblo NEBOJSA I. JAKSIC earned the Dipl. Ing
principle Lab 5 Workcell ABB w. robots Auto mode 7 Robotic inspection technologies Lab 6 Basics – Machine Machine vision Vision 8 Product design and CAD/CAM Lab 7 Vision for Smart Virtual Reality Robotics Robotic Control 9 Virtual Reality Robotics for modeling Lab 8 ABB RobotStudio Introduction 10 Virtual Reality Robotics for process planning Lab 9 ABB
require further investigation, with planned follow-up interviews to better identify factorscontributing to changes in confidence. The proposed framework is expected to evolve as more datais analyzed, with additional forms of outcome to illustrate the system of the GTA Experience.4.2 Generalizability and LimitationsThough the framework components were developed for this specific context and style of classes,we expect that the categories will be generalizable to other teaching assistant programs, whilediffering in the specific examples. As the surveys used are not infallible, we will also suggestinformation that would have been helpful to collect to better assess individuals’ experience andsystematize consistent data gathering and support
objectives.This orientation highlights how each individual has varying levels of abilities to manageactions required for goal attainment. Action-oriented individuals are more adept at deployingcognitive control processes to sustain the effort needed for goal progression. For instance, anaction-oriented individual can properly establish academic objectives, plan methods forachieving these goals, and implement these methods effectively to achieve said objectives.Conversely, state-oriented individuals may identify similar academic objectives and formulatesimilar plans but face challenges in sustaining the necessary cognitive control to turn theseplans into completed achievements. There are three common ways in which the cognitivecontrol of state-oriented
inconsistent and the connection is not clear.” Lui et al. (2022) demonstrated a comprehensive plan and highly structured frameworkleads to a team-based project that has the propensity to effectively develop intended professionalskills. These frameworks are structured so that shared responsibility is emphasized and includesthe development of interpersonal, creative, quality-based, and problem-solving skills. Strategieswithin the framework contain careful planning, objective alignment, engagement, andcollaboration. These authors found successful team-based learning occurred when projects arestructured with clear, concise, and transparent communication along with accountability among ahighly structured, diverse team. Seemiller (2016b) found
global, cultural, social, environmental, and economic factors. 3. an ability to communicate effectively with a range of audiences. 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives. 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions. 7. an
of electric vehicles (EVs) andindustry. Dijk, Orsato et al.[1] noted that the future job the concomitant establishment of a resilient EV charginglandscape in electric mobility hinges on factors like infrastructure across the expansive landscape of the Unitedtechnological advancements, the availability of charging States. Central to the profundity of this visionary plan is thefacilities, and government support. It raises the question of the administration's aspiration to realize a 50% electric vehicleextent to which the EV industry can offer high-wage jobs, penetration within the American vehicular milieu, with theespecially in comparison with the conventional car industry
planning and operational management training and guidance. He has published numerous publications on strategic, technology, and business management topics. ©American Society for Engineering Education, 2024 Large Language Models in Healthcare: Bridging the Gap between Performance Evaluation and Socio-Ethical ImplicationsAbstractUtilizing large language models (LLMs), such as the Bidirectional Encoder RepresentationsTransformer (BERT), presents an opportunity to revolutionize the healthcare experience byenhancing patient engagement, facilitating medical education, and improving the overallhealthcare service outcomes. However, integrating large language model solutions in a highlyregulated
largely influenced by behaviorist psychology, especially the work of B.F.Skinner. His focus on systematic instructional design and the sequence of events in learningreflects a behaviorist perspective, emphasizing observable outcomes and carefully planned stepsin instruction [20]. It is at times argued that Gagne’s Nine events were hardly original, and thesame concepts and applications could easily be drawn from John Milton Gregory’s “Seven Lawsof Teaching” published fifty years before Gagne came on the scene. We must remember that theylived and worked in different centuries, and while there may be some shared principles ineducation, the differences in their theoretical foundations and the historical contexts in which theydeveloped suggest that
2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright 2024, American Society for Engineering Education 3identifying the MM early and providing an immediate intervention plan, significantly increasesattrition rates.10Ohio University uses a proactive faculty-based advising model to identify and help at-risk first-yearengineering students in the murky middle which are defined as students between a 2.0 and 3.0 GPA.Especially in danger are those between 2.0 and 2.5 and these are addressed early in their firstsemester and given a program to help with retention including an improvement contract
immersive experience. The graphics in the VR environmentsmade with Unreal Engine were really good, meeting modern standards and adding a touch ofsophistication.The difficulty in learning Unreal Engine was a bit tough at first, but as time passed, it became avaluable advantage. Once developers got the hang of it, they could easily use what they learned.This led to better planning, smarter decision-making, and an overall more efficient way ofdeveloping applications. Mastering the learning curve was priceless, giving developers the powerto create simulations more easily and skillfully as they went along.Showcase Reactor Pulse app at the ASEE conference:As part of our presentation, we will display a short simulation of a reactor pulse using the PCapp
Education (CoED) divisions, and with the Ad Hoc Committee on Interdivisional Cooperation, Interdivisional Town Hall Planning Commit- tee, ASEE Active, and the Committee on Diversity, Equity, and Inclusion. Estell has received multiple ASEE Annual Conference Best Paper awards from the Computers in Education, First-Year Programs, and Design in Engineering Education Divisions. He has also been recognized by ASEE as the recipient of the 2005 Merl K. Miller Award and by the Kern Entrepreneurial Engineering Network (KEEN) with the 2018 ASEE Best Card Award. Estell received the First-Year Programs Division’s Distinguished Service Award in 2019 and the Computers in Education Division’s Service Award in 2022. Estell currently
, but when prompted appropriately it hasbeen useful in cleaning and pre-processing data in a few minutes that would previously take a fewhours or even days to do manually. Taylor explains that in their experience it's most useful when thequestion or problem is well defined and the expectations of what it can do are managed well, ratherthan approaching it as an all-knowing answer machine. This all aligned with what Dr. Paige hadhoped to hear from a student, responsible usage, understanding of limitations, and ethical andappropriate usage of the technology overall.Dr. Paige presented the plan to develop a new curricular design to their course, centering it aroundthe power of GAI and how it can be used to allow students to better utilize their
engineeringprogram.During the planning stages, the engineering faculty established four themes for the project: • The project should be challenging. Students would understand the high level of expectation for effort in engineering classes, while simultaneously being encouraged to solve a difficult problem. • The project should be open-ended. Students would use the engineering design process to create a unique design, with no pre-defined solutions. • The project should be hands-on. Students would utilize the maker space at the UMHB Engineering Design Building to gain hands-on experience with hardware and software. • The project should be competitive. Basing the project around a competition would create a sense of
Paper ID #40691S-STEM Partnerships Supporting Low-Income Engineering Students: ADescriptive Case StudyDr. Walter C. Lee, Virginia Polytechnic Institute and State University Dr. Walter Lee is an associate professor in the Department of Engineering Education and the director for research at the Center for the Enhancement of Engineering Diversity (CEED), both at Virginia Tech.Dr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Special Assistant to the Dean for Strategic Plan Implementation in the College
enhance site safety and ensure accurate, timely incident reporting in the constructionindustry.Use of VR in the Construction IndustryThe potential applications of VR in the field of civil and construction engineering are verypromising. VR can be used for various purposes, including design visualization, constructionmanagement, safety training, academic learning, urban planning, and more. Many researchers areworking hard to establish VR as a learning platform for students, as it can provide high-qualityvisualizations that can enhance the learning experience. For example, Chou et al. [7] used virtualreality to prepare a learning environment for teaching structural analysis in the traditionalclassroom and discover the limitations of VR in civil
) departments. This paper focuses on designing acybersecurity undergraduate curriculum that attracts both EE and CS students through specializedtracks and leverages existing courses in departments where both EE and CS majors are housedwithin one School of Electrical Engineering and Computer Sciences (SEECS). The proposedcybersecurity curriculum is approved internally by the department and the College of Engineeringand Mines (CEM). UND is currently working towards seeking ABET accreditation and receivedNSA’s CAE-R designation. The paper discusses course mapping to EAC and CSAB cybersecuritycriteria for two programs: Cybersecurity Engineering (CSE), and Cybersecurity Science (CSS).Such a curriculum plan can also be suitable for other schools if programs
, spanning the entire RMP website up to September 2023.We showed that for both datasets, BERTopic produces the best topic coherence and topic diversitywhen compared to Latent Dirichlet Allocation and Nonnegative Matrix Factorization with defaulthyperparameter values, as well as Top2Vec when used with the same embedding model.We plan to experiment with BERTopic and Top2Vec with various embedding models, such as theUniversal Sentence Encoder,28 to discover possible improvements when conducting topicmodeling for student evaluations. Additionally, we seek to calibrate the hyperparameters of LDAand NMF to compare the models in fine-tuned conditions. Proceedings of the 2024 ASEE North Central Section Conference
knowledge of the topics of Statics to the sustainable re-design andanalysis of the drill case. This promoted active participation among each class team as well ascollaboration with the pair teams of their Squads as they worked through the challenges of eachweek’s team assignments (deliverables).2.5. Data Collection Plan Both qualitative and quantitative data were collected to help the researchers evaluate theimpact of our Integrated Project teams using PBL. Conceptual understanding of Statics wasobtained through pre- and post- assessments beyond course assignments. Assessment questionsrequired the knowledge and application of engineering principles to solve problems.2.6 Data Analysis The limited quantitative data obtained from
computer simulation ofphysical problems demanded by industry. In terms of delivery, instructors often blend traditionallectures with practical exercises using tools like ANSYS or MATLAB to ensure that students gainboth theoretical knowledge and practical experience [4]. Many programs also integrate project-based learning to help students better understand how FEM is applied in real-world engineeringscenarios [5]. Lately, full online asynchronous courses on the introduction of FEA have beenemerging in various education platforms such as Coursera, LinkedIn Learning, and EdX.Balancing the range of topics in a finite element analysis course requires thoughtful planning,especially with limited credits in the curriculum. The emphasis on practical
CommunityRevitalization Partnership, and the City of Tampa. These organizations are committed to trainingindividuals for workforce development in the Tampa Bay Region, establishing communitygardens, and supporting a local government agency to plan and organize community revitalizationprojects. The goal of this research is to develop and implement interdisciplinary, community-engaged, anti-racism training opportunities for civil and environmental engineeringundergraduates at USF and UCB to build capacity for solving the complex and interconnectedchallenges of our time. The research questions associated with this work are: 1. How can civil and environmental engineering courses and curricula effectively focus on equitable development within
to the challenges and building upon the existing body of research, we havedeveloped a Chemical Engineering Escape Room that leverages virtual elements programmed inMATLAB. This approach aims to create a more practical and cost-effective solution whilemaintaining the engaging aspects of traditional escape rooms. Our design integrates educationalbrochures to provide participants with game flow guidance and concise explanations of theunderlying engineering principles, addressing the need for clear educational objectives [17].The escape room will be implemented at the upcoming 2024 ASEE Midwest section conference,where we plan to gather data gauging its effectiveness through a post-activity questionnaire.However, the analysis of learning
majors. Preliminary results reinforce prior STEM literature which emphasizes theimportant connections between the development of identity and elements of sense of belonging [23].RQ2: How do activities focused on research identity support transfer students in STEM fields?Our preliminary results indicate the artifact activity was a wonderful way to help students develop aresearch identity in the class. Sharing the artifacts with other students empowered some students to adoptspecific roles in the class over time. The student insights are consistent with prior findings by Rodriguezet al about STEM identity [26].Based on our work in progress results with a small initial offering we plan to continue offering this coursein the future as a bridge for
informeddecisions about their major by providing a tangible glimpse into the day-to-day activities ofengineering students.Hands-OnEmphasizing an experiential learning approach, the course required students to engage directlywith a suite of technologies and materials. This included programming in Python, assemblingmicrocontrollers with various inputs and outputs, and utilizing 3D computer-aided designsoftware for drawing and planning. Additive manufacturing processes were explored, and arange of hand tools—such as saws, knives, and drills—were employed alongside everydaycreative materials such as glue, string, cardboard, wood, and metal to bring their designs tofruition. Students sometimes worked individually, and other times in teams. They were given
. Results4.1. Courses where SketchTivity was implementedThe first instructor was a mechanical engineering professor who taught a freshman-levelcomputer-aided design-based class. This course was one of the first courses taken by primarilyfreshman students in the mechanical engineering program, more than 80%; but also by civil andaerospace engineering majors, including those who plan to change majors in the future. Thesecond instructor taught a three-course sequence in first-year engineering mechanics, whichincluded a lecture and a lab. The third instructor taught in a first-year industrial designtwo-course sequence of labs in the fall and spring semesters, which met for two hours per weekand were primarily for industrial design majors.4.2. Significant
experimental years.3.2 The Relations of the First-year Students’ Math and Science Preparation and theirPerformance in Statics.The in-depth analysis is conducted to investigate the factors affecting the first-year students’learning in the introductory mechanical engineering course and their relations with theirperformances beyond the course. We have focused on the 62 first-year mechanical engineeringstudents who enrolled and passed MECH 101 in the two experimental years. Based on thestudents’ paths related to Statics, we can group the 62 students into the following four categories: • Group A: Passing Statics with a C or better (n = 35) • Group B: Receiving a C- or DFW in Statics, resulting in a retake (n = 12) • Group C: Planning to take
consideration of future identities. In future work, we want toexplore these relationships in additional cases, looking for ways in which IBM may help usunderstand additional aspects of faculty transitions.As for practical implications, this work can contribute to improving the accessibility of academiato engineering faculty who make career transitions outside of those associated with the “singlestory” narrative of tenure and promotion, or other commonly recognized forms of careeradvancement – for example, administrative roles and retirement. Dual-career couples andindividuals who are or intend to become parents and caretakers are two groups who faceconsiderable challenges with reconciling academic career plans with personal considerations.Tenure-track
courses in this program, namely Production Systems Management I and II, are delivered in amulti-campus instruction format. In this format, instructors teach the course from either theVancouver or Okanagan campus, while students on the other campus receive the teachingsynchronously through videoconferencing, currently one of the attractive methods in online andmulti-campus teaching [12] [13] [14]. Production Systems Management cover topics includinglean manufacturing, process design, supply chain management, production efficiency, operationsmanagement, capacity planning, and quality control.In this paper, instructors, who have been teaching these courses for multiple years, are interviewedto better understand the challenges encountered during the