disciplines has summoned researchersand educators to adopt interactive teaching techniques for reinforcing students’ spatial skills.Educators across different engineering fields have been exploring digital technologies, fromweb-based to immersive applications, to serve as spatial learning platforms, keeping pace withrapid technological advancements in education [16], [17].2.1 Web-Based Applications for Improving Spatial VisualizationSome researchers have been developing and incorporating digital interactive web-basedapplications into engineering laboratories to reinforce the students’ spatial abilities. For instance,a group of researchers developed an Interactive Learning Management System (ILMS) to beemployed as a web-based launch assistant learning
Conference & Exposition, Columbus, Ohio.[4] Yu, B., “Teach online controls laboratory using a low-cost temperature control lab hardware,” 2022ASEE Annual Conference & Exposition, Minneapolis, MN.
for Engineering Students 3 CHEM 117 General Chemistry for Engineering Students Laboratory 1 ENGL 103 Introduction to Rhetoric & Composition 3 ENGR 102 Engineering Lab I - Computation 2 MATH 151 Engineering Mathematics I 4 UCC University Core Curriculum 3 Spring Total 15 ENGR 216 Engineering Lab II - Mechanics 2 MATH 152 Engineering Mathematics II
considered the next stepforward to providing personalized, inclusive and accurate responses that address each student’squestions in an engaging and efficient manner. This information could pertain to course materialsand helping as a course tutor [5] or providing insight on university-specific knowledge, rangingfrom administrative procedures and scholarship opportunities to faculty research areas and campuslife insights.Institutional Support and Other NeedsThis project was initiated by the Department Head of Computer Science & Engineering, who wasworking with faculty in his home department and in the School of Chemical Engineering. TheirPredictive Analytics and Technology Integration Laboratory (PATENT) aims to accelerateadvances in several
diagnosis techniques in microgrids, renewable energy systems, mechatronics, and aerospace. ©American Society for Engineering Education, 2024 Low-Cost Hardware-in-the-Loop Real-Time Simulation PlatformAbstractIn this paper, the design and development of a low-cost laboratory-scale hardware-in-the-loop(HIL) simulation platform for power systems is presented by employing a Raspberry Pi and threeArduino UNOs. HIL simulations are vital in system design and prototyping and offer a safe andefficient method to test hardware and software systems within a simulated operational context.The proposed platform leverages a Raspberry Pi to emulate the dynamic model of a three-areapower generation system, with the three
research interests include students’ wellness, scientific history, inclusive teaching, and food engineering. She has piloted a new class that focus on student’s well being and success, community building, and providing academic support for chemical engineering courses.Dr. Jason White, University of California, Davis Dr. Jason R. White is an Associate Professor of Teaching in the Department of Chemical Engineering at the University of California, Davis. Dr. White has been a faculty member at UC Davis since 2015, and he teaches process design and economics, process safety, bioseparations, and senior laboratory courses. He has helped lead the creation of the CHEM E CAD and Industrial Automation club at UC Davis, and he has
[2] including case studies in the unit operations laboratory course [3] or thechemical reaction engineering course [4]. The most common approach has been to incorporatelearning modules on ethics in the context of process safety [5]. The way in which process safetyis taught to students depends on the department (and university), with some schools having adedicated process safety course while others teach it as part of the senior design course. Teachingstudents about the concepts of ethical decision making in the context of process safety makes sensefrom an educational perspective, in part, due to the ongoing efforts to instill a culture of safety inall young chemical engineers [5]. Through informal discussions with students, the
use.Almagambetov and Pavlina [2] compare three methods of teaching laboratories in a digital-logicservice course for first-year students. The methods are wiring cookbook-style labs using off-the-shelf components, VHDL labs with virtual-wiring techniques, and hybrid labs combining the two(Ibid.). The hybrid approach was seen to produce better educational outcomes according to anextensive evaluation. Other educators have chosen a hybrid style as well. For instance, Areibi [3]has students start with breadboards, but after introducing FPGAs, observes that a studentpreference for FPGAs is established after a few labs. Nonetheless, Areibi has found that the useof VHDL in such a course causes confusion and has identified that the primary challenge wasbeing able
selected to participate asFWS students with the Office of Academic Affairs: • Conduct research (laboratory and/or literature based) 8 - 15 hours per week (per Mentor’s instruction). • Research assignments may be part of a larger project, a pilot project, or be designed to provide preliminary data for future research, scholarly or creative projects. • Are required to attend a monthly research seminar given by the GSOE. • Complete of a variety of research assignments (per Mentor’s instruction/project description). • Write a Research Report at the end of each semester.The Process for FWS - A half page description of the overall project (goals, objectives, and methodology),student tasks and responsibilities, minimum
on land that formerly belonged to Wright-Patterson Air Force Base (WPAFB), home ofthe U.S. Air Force Research Laboratory (AFRL) and five directorates. Technology companiessurround the university and base, creating a vibrant innovation hub. To this day, electricalengineering continues to play a large role in the workforce and in opportunity afforded thecitizenry, university and prospective and current students of all ages.In a proactive move to provide students more flexibility, electrical engineering faculty membersat Wright State University conducted an in-depth review of all course pre-requisites tostreamline the Bachelor of Science in Electrical Engineering (BSEE) program and make it moreadaptable for students with diverse experiences to
always be less than 100%. Power = ηQgh Eq. (3) 𝑒𝑛𝑒𝑟𝑔𝑦 𝑜𝑢𝑡𝑝𝑢𝑡 η= Eq. (4) 𝑒𝑛𝑒𝑟𝑔𝑦 𝑖𝑛𝑝𝑢𝑡 The project team at Southern Illinois University developed lab activities associated withthermal energy, with energy efficiency and heat loss as the primary focus. This set of labactivities also contained two parts: a pre-lab activity and a hands-on lab activity. a. The pre-laboratory activity discusses the history of insulation in buildings, such as using large stones
computational thinking skills. Another line of research was the development of a simulated operating system, SimpleOS, that allowed students to run basic programs and visually see the state of the simulated memory, registers, and process queues in order to facilitate student learning. Dr. Hoskey has also collaborated with the Farmingdale State College Center for Applied Mathematics and Brookhaven National Laboratory on an undergraduate research program in the area of Signal Analysis. Dr. Hoskey received the 2017 Chancellor’s Award for Excellence in Teaching from the State University of New York.Dr. Ilknur Aydin, Farmingdale State College, SUNY, New York Ilknur Aydin is an Associate Professor of Computer Systems at
improvementrate, nor to generate a deep impact into organization’ KPIs [2]. Therefore, it is crucial forengineering students to get involved in the complexities of interacting with people whenimplanting Lean, to correctly develop their skills in continuous improvement.However, a common limitation for students that are learning Lean Manufacturing is the lack ofexposure to real situations in which Lean is being implemented, such as practices in laboratories,participation in real-world experiences or access to available processes, where implementing leantools and measuring the impact on KPI’s is taking place [3].Attending this urgent need of students to participate in real life process, in Tecnologico deMonterrey, we have designed a course named “Design of
schools throughout. Completed middle school education via correspondence with The Calvert School in Baltimore, Maryland. Returned to the US for three years of high school. Completed MS degree in physics at the University of Kentucky in 1999, including stipendium at the Ruprecht-Karls University in Heidelberg, Germany. Graduate work included two research appointments in Japan. Completed a Ph.D. in materials physics at Penn State University in 2001. Completed postdoctoral research in the Molecular Biophysics Group at the Delft University of Technology in the Netherlands; thereafter established a nanophysics laboratory in the Physics Department at the University of Virginia (UVa). Appointed Program Manager and division
, it functions as a dynamic, living laboratory, providing a conduciveenvironment for students to delve into and comprehend the fundamental biological mechanismsintrinsic to their academic pursuits. This architectural engineering design installation not onlyfurnishes practical insights into plant physiology, pertinent to domains such as bio-materialengineering and pharmaceutical applications, but also enriches the pedagogy of engineering.Students harness their understanding of statics, materials science, and computer-aided design(CAD) to engineer a structurally sound framework conducive to optimal plant growth. Throughexperiential learning in machining and design, they acquire tangible skills transcending meretheoretical comprehension. The team
usefulpedagogical tool. To enhance the peer review process, this study implements sentiment analysis,specifically using a roBERTa sentiment analysis model [1], to provide a quantitative assessmentof reviews received by individual students. Additionally, the work quickly evolved to includeAI-based constructive criticism paraphrasing to allow for timely individualized feedback in alarge-enrollment setting. This work also explored the capabilities of an AI-based suite to aidreport graders in order to improve the efficiency of the grading and feedback process for largescale laboratory classes. The motivation for this work is to investigate the utility of ArtificialIntelligence as a way to increase the efficiency of the instructional team in large enrollment
Laboratory Experiment Paperpresented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana.10.18260/p.26679[4] Dickrell, P. L. (2017, June), Five-Minute Demonstrations: Minimal Faculty Investment forMaximum Learning Impact Paper presented at 2017 ASEE Annual Conference & Exposition,Columbus, Ohio. 10.18260/1-2--28366[5] Funke, L., & Hylton, J. B., & Sawyers, D. (2019, June), Work in Progress: IncorporatingMicroprocessors across the Mechanical Engineering Curriculum Paper presented at 2019 ASEEAnnual Conference & Exposition, Tampa, Florida. 10.18260/1-2—33630[6] Harib, K. H., & Sivaloganathan, S., & Hamza, R. K. M., & Aziz, M. A. (2020, June),Foundation Mechatronics Laboratory Course for Mechanical
Paper ID #42965Reflections of Undergraduate Engineering Students Completing a Cross-DisciplinaryRobotics Project with Preservice Teachers and Fifth Graders in an ElectromechanicalSystems CourseDr. Krishnanand Kaipa, Old Dominion University Dr. Krishnanand Kaipa is an Associate Professor and director of the Collaborative Robotics and Adaptive Machines (CRAM) Laboratory in the Department of Mechanical and Aerospace Engineering at the Old Dominion University. Dr. Kaipa received his BE (Hons.)Dr. Jennifer Jill Kidd, Old Dominion University Dr. Jennifer Kidd is a Master Lecturer in the Department of Teaching and Learning at Old
Laboratories,Los Alamos National Laboratory and the Mozilla Foundation.REFERENCES [1] Forcael, E., Glagola, C., and González, V. (2012). ”Incorporation of Computer Simulations into Teaching Linear Scheduling Techniques.” J. Prof. Issues Eng. Educ. Pract., 138(1), 21–30 [2] Adams, W.K., Reid, S., LeMaster, R., McKagan, S.B., Perkins, K.K., Dubson, M., and Wieman. C.E. (2008a). A study of educational simulations part I—Engagement and learning. Journal of Interactive Learning Research, 19(3), 397-419.[3] Adams, W.K., Reid, S., LeMaster, R., McKagan, S.B., Perkins, K.K., Dubson, M., and Wieman, C.E. (2008b). A study of educational simulations part II—Interface design. Journal of Interactive Learning
-Champaign I am currently the Associate Director of Assessment and Research team at the Siebel Center for Design (SCD) at the University of Illinois at Urbana-Champaign. I work with a group of wonderful and talented people at SCD’s Assessment and Research Laboratory to conduct research that informs and evaluates our practice of teaching and learning human-centered design in formal and informal learning environments. My Research focuses on studying students’ collaborative problem solving processes and the role of the teacher in facilitating these processes in STEM classrooms.Nicholas Robert PozzaDr. Blake Everett Johnson, University of Illinois Urbana-Champaign Dr. Blake Everett Johnson is a Teaching Assistant Professor
practicality,innovation, and problem solving. engineering PhD students typically progress frommastery of basic courses and laboratory skills to deeper involvement in specificprojects or research. This process involves various factors, such as mentoring,laboratory culture, teamwork, and even interaction with industry. Relevant studieshave shown that environmental factors play a significant role in the development ofprofessional identity among doctoral students.[16-18] Compared to other disciplines,engineering Ph.D. students may place more emphasis on practical applications andindustrial collaborations, which may also be part of their professional identity. Theprofessional identity of engineering students is the driving force that keeps themlearning and
educational laboratories. ▪ Personalized Education o A satellite campus is typically unique in providing small-class sizes, a true collaborative learning environment, and an opportunity for personalized education for students. The class and campus environment creates an opportunity for faculty to engage in academic activities that can lead to developing professional relationships with students. The small class sizes allow the faculty to know their students on a more personal basis, which can lead to increasing the motivation of students. Meyer [12] conducted a literature review and survey and discovered that departments offering small class-sizes
University. She earned her M.S., and Ph.D. from the University of Michigan, Ann Arbor. She teaches thermodynamics, fluid mechanics, engineering laboratory, and senior design studio courses. Her research interests include engineering education and targeted drug delivery. In 2022, she was awarded the ASME Best Teacher Award and earned the ACUE Certificate in Effective College Instruction. ©American Society for Engineering Education, 2024 A Comparative Study on the Role of Bloom’s Taxonomy-based Assignments and Project-based Learning on Student Performance in an Undergraduate Fluid Mechanics CourseAbstractThis paper compares and evaluates the role of two group-based active learning
rubric used for assessing student performance in laboratory projects or in capstone design [7], and usage of American Association of Colleges and Universities (AAC&U) rubric on Lifelong Learning [8] outside of a course context. These tend to be limited and qualitative, for example [9] splits the learning profile into only 2 sub-outcomes and measures student performance in each outcome in projects using rubrics with qualitative levels of Unsatisfactory, Minimal, Adequate, or Exemplary. The paper [6] offers a rubric that breaks down the learning into three sub- components of identifying the needed knowledge, developing a learning plan, and applying
Engineering for Professionals Corporate Engagement Lead. In that role he enables connections between corporations/agencies and Johns Hopkins to collaborate on advancing the skills of their employees. He was previously the MEM Program Manager. Mr. Blank was appointed an adjunct instructor at the Whiting School of Engineering in January 2009, after joining the Johns Hopkins Applied Physics Laboratory (APL) in October 2006. Until his retirement from APL in September 2021, he held leadership roles as APL’s Deputy Chief Quality Officer, served as the Chief of Strategy for the Force Projection Sector, lead program managers as the Deputy Business Area Executive for Undersea Warfare, and was the Ocean Data Acquisition Program
definition of stakeholders simplifies the contextual information,as some populations could be more affected by a spill. Looking for a deeper understanding ofthe problem and construction of a more accurate model of the design context, the instructorsscaffolded the team to think more in-depth about the design context. By the last deliverable,the team specifically characterized the impacted communities as "including the communitiesof Sandia National Laboratories, the Albuquerque International Sunport, and those in nearbyneighborhoods."Regarding the requirements, the team identified legal, technical, social, and environmentalrequirements of the design problem. Table 3 summarizes the requirements the team definedin their first and last deliverables. The
Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minnesota. He received his B.S. in mechanical engineering from Michigan State University. Dr. Johnson received his S.M. and Ph.D. from the Massachusetts Institute of Technology. Dr. Johnson’s research focuses on production economics, engineering education, and design tools. Dr. Johnson has over 100 peer reviewed publications and several patents. His research has been funded by the National Science Foundation, the Department of Energy, and industry.Prof. Amarnath Banerjee, Texas A&M University Dr. Banerjee is a Professor in the William Michael Barnes ’64 Department of Industrial and Systems
[4]. This was found to better prepare students for lectureson new concepts, as well as give instructors more time to teach the new concept in class as theydid not need to review prerequisite knowledge with students [4]. Similarly, another study foundthat having more tutorials or example problems was helpful in engineering students'comprehension of math [12]. Other studies tested new e-learning practices and programs [5], [9-10]. They found that this style of learning was the best alternative during the COVID-19 pandemic;however, it also produced more confusion during certain laboratory activities [5], [10]. Recognizethat these studies were conducted before and during the pandemic, so newer studies may finddifferent results as online learning
and then equipping them with the ability to engage that workwith competence and insight. Learning taxonomies are tools that can be used to categorize thecognitive levels at which learners are engaging with material as a means of providing structureand metrics to the educational process, with achievement at higher levels of a taxonomygenerally corresponding to the desired intellectual abilities for practicing engineers [1, 2, 3].The general consensus among engineering educators has long been that creative, practical, andactive educational methods are needed in order to produce engineers who are well-prepared forthe workplace. Presenting students with problems and projects, laboratory experiences, designchallenges, group work, and other