obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for sevDr. Christopher Papadopoulos, University of Puerto Rico, Mayaguez Campus Christopher Papadopoulos is Professor of Engineering Sciences and Materials at the University of Puerto Rico, Mayag¨uez (UPRM). He earned B.S. degrees in Civil Engineering and in Mathematics from Carnegie Mellon University (1993) and a Ph.D. in Theoretical and Applied Mechanics at Cornell University (1999). Prior to UPRM, Papadopoulos served on the faculty in the Department of Civil Engineering and Mechanics
for a more highlyskilled workforce equipped with programming skills for the analysis of the huge amount of data thatcan be generated on construction sites, particularly with respect to the prediction of the properties ofmaterials for useful insight generation as well as rapid and informed decision making. In this study,construction students were introduced to artificial intelligence (AI) techniques and how they can beused for predicting the properties of construction materials in a construction course. First, thestudents were presented with a basic knowledge of AI for predicting the strength of constructionmaterials. A hands-on programming laboratory session was designed to get students started with theimplementation of AI knowledge through
II and theirrespective Laboratory courses), they are eligible to complete their Chemical Engineering corecourses in four semesters. Therefore, it is important to provide professional development asquickly as possible, so that they can make decisions concerning cooperative education, internshipsand pursing undergraduate research.Undergraduate SeminarTwo years ago, our department seminar had been restructured to support the collaborative, holisticadvising practice that is the mission of the University of Pittsburgh Academic AdvisingFramework[3]. Under the guidance of the Academic Advising Manager, weekly seminar meetingsin the classroom reinforce student-facing modules housed in the Canvas Learning ManagementSystem (LMS) that are to be
are used in project-basedundergraduate robotics courses at the University of Michigan: a first-year programming courseand a graduate robotics laboratory. We also describe a block-based visual programming interfacebased on the same framework and its use in a grade school context. Finally, we present lessonslearned in teaching undergraduate courses with real robots at different levels, and highlight futureopportunities for development in this area.1 IntroductionRobotics is growing rapidly in undergraduate education, with more institutions incorporatingrobotics in existing curricula, adding robotics concentrations, or introducing roboticsmajors [1, 2]. This rise in popularity creates a renewed demand for technology in the classroom togive
disruption to their curriculum and coursework, they are more often engaged inresearch that depends on access to physical laboratories and specialized equipment.This study therefore aims to answer the following research question: How did engineeringgraduate students experience the transition to non-traditional/alternative learning duringthe COVID-19 pandemic? To answer this question, we analyzed qualitative data collected usingthe SenseMaker platform in response to the prompt "Imagine you are talking to a friend or familymember about the evolving COVID-19 crisis. Describe something you encountered as anengineering student." Participants’ responses were analyzed using best practices in qualitative codingtechniques following an inductive, open-coding
, evaluating, planning) in their reflections.Table 2. Prompts for Reflection anchored to Laboratory Assignments Metacognitive Reflection Prompts Regulation Strategy Evaluating What have you done to address the difficulties you identified in the last reflection? Include a description of how your approaches were successful or unsuccessful. Monitoring What was one difficulty you are (or were) most concerned about? Be specific. Include a description of how you know (or knew) you are (or were) having this difficulty. BAE Course 2 Only: If you did not have any difficulty, what is something you learned from this assignment? Include a description of how you know you learned
, R. Martínez-Maldonado, H. U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, B. McLaren, and B. Du Boulay, Eds., in Lecture Notes in Computer Science, vol. 10948. , Cham: Springer International Publishing, 2018, pp. 463–468. doi: 10.1007/978-3-319-93846-2_87.[6] J. J. Blackburn and J. S. Robinson, “An Investigation of Factors that Influence the Hypothesis Generation Ability of Students in School-Based Agricultural Education Programs when Troubleshooting Small Gasline Engines,” JAE, vol. 58, no. 2, pp. 50–66, Jun. 2017, doi: 10.5032/jae.2017.02050.[7] M. Kinsel, C. Crockett, N. Smith, and G. Prpich, “Circuit Troubleshooting Techniques in an Electrical and Computer Engineering Laboratory,” in 2024 ASEE Annual
with an opportunity to develop pedagogical skills. Each semester,senior biology, chemistry, and physics students from local secondary schools complete open-ended biomedical engineering-themed projects within post-secondary laboratories guided byinstructional support from graduate student volunteer mentors and their classroom teachers. Theprogram framework provides students with an opportunity to explore STEM interests byengaging in realistic, open-ended problem solving using state-of-the-art research tools andequipment not typically available in the secondary school environment. Previous studies of pre-pandemic Discovery Program outcomes revealed multiplepositive outcomes for participants. However, due to the COVID-19 pandemic and
their work was only at one institution with 30 participants and includedmostly graduate students (who benefited from help in the laboratory), they were able to breakdown motivation into intrinsic (done in the absence of external reward) and instrumentalcategories (done as a means to an end). Jones and Davis looked at faculty perspectives onundergraduate research at a liberal arts school and an R1 school.[14] Faculty at both institutionslisted time and funding resources as barriers; the liberal arts faculty also listed the lack ofscholarly (research) culture; and the R1 faculty listed not receiving teaching credit for the workas a barrier. Morales et al. investigated a larger sample of 13 research institutions to studyenabling and constraining
, facilitatingconflict resolution and team cohesion.Teamwork has been widely recognized as a cornerstone for academic and professionalsuccess in engineering and science education. Wilson et al. [12] highlighted thetransformative potential of teamwork assessments, which provide a more comprehensiveeducational experience by fostering a diverse range of skills. Despite this, students frequentlyreported challenges, such as unequal workload distribution within groups, and preferredpractical or informal collaborative settings, like laboratory experiences, over formalassessment environments.The evaluation of teamwork quality has been explored extensively. Herrera et al. [13]identified six key dimensions for assessing teamwork among engineering students:collaboration
experimentation, simulation-enhanced learning, and active andcollaborative learning techniques. Each component is specifically designed to addresschallenges in electromagnetics education by fostering deeper engagement, enhancingconceptual understanding, and preparing learners with practical engineering skills. Byincorporating these elements, the framework ensures that learners acquire both theoreticalknowledge and hands-on experience, effectively bridging the gap between abstract conceptsand real-world applications.The course implementing this framework consists of both lecture-based and lab components.The laboratory sessions provide students with hands-on experience, complementingtheoretical concepts covered during lectures. Some experiments are
authors own work – and referencing a recent systematic review of masterylearning in engineering in higher education – this case study offers a “formula” that faculty mayfollow to incorporate modified mastery learning into their classroom or laboratory setting. Theapproach to modified mastery learning outlined in this article accomplishes two important items.First, the flexibility afforded to the instructor when adopting modified mastery learning meansthat cost savings may be accomplished in the use of institutional resources while accommodatinga diversity of student learning preferences. Second, while traditional approaches fail to guaranteethat every student master every concept, the modified mastery learning style not only maintains –but in
undergraduate education. Wisconsin Center for Education Research, University of Wisconsin-Madison.4. Gardner, G. E., & Jones, M. G. (2011). Pedagogical preparation of the science graduate teaching assistant: Challenges and implications. Science Educator, 20(2), 31–41.5. Sundberg, M. D., Armstrong, J. E., & Wischusen, E. W. (2005). A reap praisal of the status of introductory biology laboratory education in U.S. colleges and universities. The American Biology Teacher, 67(9), 526529. https://doi.org/10.1662/0002- 7685(2005)067[0525:AROTSO]2.0.CO;26. Marbach-Ad, G., Egan, L. C., & Thompson, K. V.,(2015). Preparing graduate students for their teaching responsibilities. In A Discipline-based Teaching and Learning Center: A Model
and Engineering at BRAC University in Dhaka, Bangladesh. Currently, his research focus is cognitive workload assessment. He also has interests in health informatics and natural language processing.Prof. Venkata Sriram Siddhardh Nadendla, Missouri University of Science and Technology Dr. Venkata Sriram Siddhardh Nadendla is an Assistant Professor in the Department of Computer Science at Missouri University of Science and Technology. In Fall 2018, Venkata Sriram Siddhardh Nadendla worked as a postdoctoral research associate in Coordinated Science Laboratory at University of Illinois at Urbana-Champaign since Oct 2016. He received his PhD degree in Electrical and Computer Engineering from Syracuse University in 2016
students in hands-on projects and problem-solvingactivities [1], [10]. These are not simply introductory surveys; they involve active design andbuilding experiences. This early and consistent exposure to design and prototyping continuesthroughout the program. Laboratory courses, integrated with lectures, reinforce theoreticalconcepts in subsequent years. The curriculum culminates in team-based senior capstone projects.These capstone projects frequently address authentic engineering challenges, often in collaborationwith industry partners, providing students with invaluable real-world experience. This approach,embedding industry partnerships, internships, and co-op experiences throughout the studentjourney, ensures graduates possess both technical
Laboratory at RPI (hereafterabbreviated MDL) were responsible for equipment selection, visualizing plant layouts, andpreparing detailed designs for specialized process equipment such as heat exchangers. Thispaper reviews our findings regarding design guidelines and the educational aspects ofmultidisciplinary design for modular processing plants.Student and Faculty Engagement The overall design effort supported involvement of 21 undergraduate students and severalfaculty members from multiple departments. Two students from chemical engineeringparticipated via semester-long, paid independent study experiences, rather than through aconventional design course. Three teams of students (19 total) from other engineeringdisciplines completed their
. Suwanasri, "Semiconductor Synergy Capacity Building: Enhancing Laboratory Hands-On Excellence through University-Industry Collaboration," in 2024 9th International STEM Education Conference (iSTEM-Ed), 2024: IEEE, pp. 1-6.[4] Y. S. Sun, Q. Zhu, and J. M. Case, "Preparing Future Semiconductor Talent in the Global Context: A Comparative Study of the Semiconductor Engineering Curriculum in the US and Taiwan," in 2024 ASEE Annual Conference & Exposition, 2024.[5] S. S. Patankar, "Practical Design of Experiments for the Next Generation of Semiconductor Process Engineers," Chemical Engineering Education, vol. 58, no. 4, pp. 240-246, 2024.[6] I. Rocio Vazquez, P. Sharma, V. Law, N. Jackson, and M. Pleil, "Initial
of experience in engineering education, several projects in innovation of engineering education such as the use of 3D virtual ambProf. Israel Zamora-Hernandez Israel Zamora-Hern´andez has a B.Sc. in Electronic Engineering from the Autonomous University of Puebla, Mexico. He has a M.Sc. in Digital Systems from Tecnologico de Monterrey, currently collaborating with this university since 2004 holding different positions and responsibilities, among which stand out; the creation of the electronics laboratories in 2005, assuming the direction of the Electronic Engineering and Communications degree in 2006, the creation of the networks laboratory in 2007, the creation of the media center laboratories in 2008, assuming In
Paper ID #45964A Call for the expansion of intercultural competency to graduate engineeringeducationErin Johnson, Pennsylvania State University Erin Johnson is a PhD candidate at Pennsylvania State University in Mechanical Engineering. She is under the advisement of Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL). In 2024, Erin was awarded the National Science Foundation Graduate Research Fellowship Program (NSF GRFP). She completed her B.S. in Mechanical Engineering at Tuskegee University and a M.S. in Engineering Design at Pennsylvania State UniversityJiuqing Yu, Pennsylvania State
CAD/CAM softwaretraining and on-machine demonstrations. The CAD/CAM software activity includes fixturedesign and toolpath generation to perform a facing operation on the silicon brass METALmedallion. A CAD model of the METAL medallion machining setup with visible toolpaths isshown in Figure 6. Figure 6. CAD model of the machining setup for the METAL medallion with visible toolpaths.Other METAL level one in-person training activities include mechanical testing (i.e., tension andhardness testing), heat treatment of steel alloys (i.e., AISI 1060 and/or 1045), forging, androlling. The topics for each day of the four-day schedule are summarized. These activitiesinclude both classroom and laboratory sessions. The detailed daily itinerary can be
Dr. Brian Sanders is a distinguished aerospace engineer and former U.S. Air Force officer whose career spans over three decades. He began his service as an aircraft weapon systems technician and progressed through roles including acquisition officer and senior research scientist within the Air Force Research Laboratory. Sanders made significant contributions to adaptive structures and unmanned aerial systems, leading pioneering research on morphing aircraft technologies. He also served as Assistant Chief Scientist at Air Combat Command. Currently, he is an associate professor at Embry–Riddle Aeronautical University, where he continues to advance aerospace research and education. ©American
difference illustrated the details of the UV lights reflected and fluorescentattributes in this example. The developed fusion algorithm between RGB and UV providedsuccessful results that the proposed algorithm was further tested on various UV images that wereacquired as contaminations on surfaces in a laboratory setting. Figure 7 showed one of those testimages. a. b. c.Figure 7. (a) Stainless steel surface with invisible ink under visible light, (b) Under UV light with 254 nm, (c) CUV composite image after processingThere were about 500 images used in this research with various types of biological and non
field trips, laboratory work, and traveling to museums, aswell as the distances between rural schools and these resources, challenge schools in providingSTEM education. [2]In West Virginia, a predominately rural state (34 of 55 counties are rural), more STEM outreachefforts are concentrated in urban counties, as shown in Figure 1 and Table 1 from Coltogironeand Kuhn et al.[1]Here, we see that STEM outreach is poor in rural areas and that average STEM initiatives inurban areas of the state are about 3 times that of rural counties. Many of the rural counties haveless than two STEM initiatives.In addition, rural students are 10 times more likely to prefer working in rural settings[3], whichcreates a win-win situation in training rural students in
Joseph J. Brown leads the Nanosystems Laboratory and serves as Associate Professor and Chair of the Department of Mechanical Engineering at the University of Hawai’i at M¯anoa. He joined UH in 2017. He received an A.B. in Engineering Sciences from Dartmouth College in 2000, and M.S. and Ph.D. degrees in Mechanical Engineering from the University of Colorado Boulder in 2008 and 2010, respectively. He is author of 26 journal articles, 18 conference papers, and 1 book chapter, and an inventor of 11 U.S. patents. He is also a member of 5 professional societies: ASME, IEEE, MRS, ASEE, and AAAS. ©American Society for Engineering Education, 2025 Enhancing Lab Learning and Graduate Aspirations
times.Afternoon Session:The afternoon session of the program consisted of a hands-on experience to explore a real-worldapplication in an electronics laboratory. To develop professional skills, one must begin by keenlyobserving the world around. With the hopes of empowering future engineers to notice theinterconnected systems at play in our world, an Electrocardiogram (EKG) circuit for theElectrical Engineering module was developed [12]. The circuit diagram of the introduced EKGcircuit is shown in Figure 2 while Figure 3 shows the connection diagram provided to students tobuild the EKG circuit in the lab. During the afternoon session, students constructed the circuitshown in Figure 2 and Figure 3, evaluated it with a test signal, and then used it to
Paper ID #47766Building and Integrating an Undergraduate Clinical Immersion Experienceto Expand ImpactProf. Benjamin Hawkins, California Polytechnic State University, San Luis Obispo My professional interests focus on the development and use of microsystems (biosensors, microcontrollers, etc) to matters of human health. Primarily this is focused on microfluidics, but also ranges from wearable devices to laboratory equipment. ApplicatiDr. Christopher Heylman, California Polytechnic State University, San Luis ObispoDr. Michael D Whitt, California Polytechnic State University, San Luis Obispo Dr. Michael D. Whitt is currently
NC State. His areas of research, in addition to digital circuit design, include systems integration for biological applications, electrical techniques for studying plant behavior and physiology, and the development of smart e-textiles. ©American Society for Engineering Education, 2025 Paper ID #47554Jay F Levine, North Carolina State University at Raleigh Dr. Levine is a professor in the Department of Marine, Earth and Atmospheric Sciences at North Carolina State University. For more than two decades Dr. Levine’s laboratory has focused research efforts on understanding the basic biology of
manufacturing, and information and microelectronicstechnology, as well as several specialized laboratories, such as the Key Laboratory ofCooperative Sensing and Autonomous Unmanned Systems of Zhejiang Province.Additionally, the center collaborates with enterprise training bases, including those frommajor corporations like PetroChina, which serve as teaching and practice hubs forpostgraduate students, further enhancing their practical learning experience.Course OverviewTo effectively meet the goals and requirements for cultivating outstanding engineers, theZhejiang University Engineer School, in collaboration with the Training Center, hasdeveloped the course "Advanced Engineering Cognition and Practice" for professionalmaster's degree postgraduate
empower students to tackle real-world healthcarechallenges by designing and innovating medical devices. Throughout the ten-week summerprogram, participants are exposed to both laboratory research and professional developmentworkshops, equipping them with technical expertise and communication skills. Key researchprojects include mobile phone-based imaging for diagnostics, biomaterial development for tissueengineering, and computational modeling of respiratory devices. Key professional developmentevents include research a jump start seminars, technical writing workshops, communicationworkshops, microagression training, and a final poster presentation event.Preliminary findings indicate significant growth in students’ research self-efficacy, with a