these projects will help other educators develop ROS-based simulation projects as part of a course or a stand-alone course for teaching robotics.IntroductionThe Robot Operating System (ROS) has gained wide currency for creating working robotic sys-tems, initially in the laboratory and then in industry. The primary programming environment forthose working on ROS includes C++, Python, or Java. MathWorks recently released its RoboticsSystems Toolbox and ROS Toolbox. Using MATLAB to interact with robotic simulators (suchas Gazebo) and physical ROS-compatible robots (such as TurtleBot) becomes a new option. Theexisting toolboxes in MATLAB enable the development and verification of robotic control algo-rithms more quickly. Though it is
laboratories, project- based learning, and practicum-based assessment. Dr. Ertekin serves as the faculty advisor for the student chapter of the Society of Manufacturing Engineers (S058) and is a member of the College’s Undergradu- ate Curriculum Committee. Involved in research, Ertekin has received funding from the National Science Foundation (NSF), private foundations, and industry. His research has focused on the improvement of manufacturing laboratories and curricula and the adoption of process simulation into machining and addi- tive manufacturing practices. His areas of expertise are in CAD/CAM, manufacturing processes, machine and process design with CAE methods, additive and subtractive manufacturing, quality control
, Construction curriculum, Faculty Externship. VDCIntroductionThe construction management curriculum is a blend of courses requiring hands-on laboratories,software tools, theoretical lectures, and deeper learning on project management tools. Thesetools and techniques constantly upgrade with newer technologies, computing breakthroughs, andintensifications. The American Council for Construction Education (ACCE) establishes studentlearning outcomes (slos) to standardize construction education at 2-year, 4-year, and master'sdegree programs at different institutions. While ACCE focuses more on the core concepts andtheories through its accreditation requirements, it is essential to understand that technologicaladvancements have been pivotal in managing
Paper ID #37350Educating the Workforce of the 21st Century through Smart ManufacturingSystems in the ClassroomsRoya Salehzadeh, University of Alabama Roya Salehzadeh obtained her B.Sc. degree in mechanical engineering from Urmia University, Iran, in 2010, and her M.Sc. degree from Amirkabir University of Technology (AUT), Tehran, Iran, in 2013. She is currently pursuing a Ph.D. in mechanical engineering from the Advanced and Intelligent Manufacturing Systems Laboratory at the University of Alabama, Tuscaloosa, AL, USA. Ms. Salehzadeh’s research interests are focused on human-robot interaction, automation, and
education as it can limit the engagement orinvolvement of an educator with the students [11]. The COVID-19 pandemic pushed educators to conduct emergency remote teaching, withhands-on laboratory and skills-based workshops disrupted. The inability among educators toshift to online learning and create meaningful learning in their courses, along with the lack ofavailable remote or online laboratories and simulated technology-based skills training, exposedthe stark gap between engineering education requirements in the 21st century and what HEIscurrently have. Therefore, well-designed and planned pathways to transformation must beadequately studied to bridge the gap in engineering education to transform educatorseffectively in a sustainable
face-to-faceopportunities for students to collaborate with others, such as peers and teaching assistants.Harris et al[27] also incorporated pedagogical practices to boost active and inclusive teachingconcepts that intended to be beneficial for all students, and especially those from minority orunderserved groups. Making online classes both active and inclusive will aid student learningand will also help students feel more connected to their learning, their peers, and their campus.This approach will likely help with performance, retention, and persistence of students.Habib et al[28] reported that the “limitations of online learning were also discovered andrecognized with laboratory and hands-on courses, many of which could not be taught with
Elements was used, since the company provided licenses for home use for all instructors and professors. This was critical during pandemic conditions as no access to campuses or laboratories was allowed. The use of commercial software also allowed different loading conditions to be set in their models, especially for the wind loading combinations. During the first three phases, students were taken step by step by their professors and instructors into the different topics of a structural analysis, as this was their first course on hyperstatic structures. During this stage, students were given some problems oriented or related to the problems they would solve during the solution of the challenge, as a way of training. In phase 4, as indicated in Fig
programming skills in later courses, such asthe capstone design project, but these were not required to complete assignments before thepandemic. Unfortunately, a portion of the study cohort had their undergraduate educational plansdisrupted by the COVID-19 pandemic. Students enrolled in the two-quarter capstone designproject in Spring 2020 were not permitted to access laboratory equipment on campus or travel tosponsor companies. Thus, they relied on computational tools to complete their projects.MethodsThis study surveyed students enrolled in a Materials Kinetics course in either Winter 2018 or2019. The new survey was distributed to the cohort in Spring 2021, nine to twenty-one monthsfollowing the expected graduation date (based on course timing
course of a program, students will benefit from exposure to a varietyof both.Without time and resource constraints, instructors may naturally collaborate and engage with stu-dents as individuals, tailoring assignments and timelines to their individual interests, priorities, andcontexts. In order to scale a learning environment to accommodate tens or hundreds of students,more general protocols are needed to keep track of progress through learning outcomes. The spacebetween scale and individualization of education is ripe for creative solutions.6 ConclusionIn this paper, we have reported on the effect of different late policies on student outcomes andattitudes for a computer programming laboratory course. Within the same course offering, instruc
courses with this new modality. Instructorsreported some resistance to change methods and as predicted, it happened.Despite having some resistance to change, in this case the instructors were opened to learningabout new teaching methods adapted to the reality and time at which the world is advancing.Whenever a new educational framework is designed, there will always be a new challenge tomeet, in this case how to adapt the laboratories to this modality. Today it is believed that the onlyway to teach the laboratory class is 100% face-to-face, but there will be a way to plan certainactivities to be done synchronously and others asynchronously.In closing, using the class as an example of the topic was pleasantly surprising. Since it was
Paper ID #36896Impact of In-Class Demonstration on Student Performance inan Introductory Thermodynamics CourseHaejune Kim (Assistant Professor of Instruction)Phapanin Charoenphol Phapanin Charoenphol is an Assistant Professor of Instruction in the J. Mike Walker ‘66 Department of Mechanical Engineering at Texas A&M 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
, L., Sturtevant, H., & Mumba, F. (2019). Exploratory Study of the Impact of a Teaching Methods Course for International Teaching Assistants in an Inquiry-Based General Chemistry Laboratory. Journal of Chemical Education, 96(11), 2393–2402. https://doi.org/10.1021/acs.jchemed.9b002394. Wheeler, L. B., Maeng, J. L., Chiu, J. L., & Bell, R. L. (2017). Do teaching assistants matter? Investigating relationships between teaching assistants and student outcomes in undergraduate science laboratory classes. Journal of Research in Science Teaching, 54(4), 463–492. https://doi.org/10.1002/tea.213734. Guadagni, G., Ma, H. and Wheeler, L., (2018), June. The Benefit of Training Undergraduate Teaching Assistants. In
radiation, extremetemperatures, and more). Several examples of such efforts include the Office of the Under Secretary of Defense(OUSD) Acquisition & Sustainment Industrial Base (IBAS) program, which now leads theNational Imperative for Industrial Skills program and the Research & Engineering Trusted &Assured Microelectronics program. These initiative support several University-run programsincluding SCALE as part of a Public, Private, and Academic Partnership (PPAP), and theSTART-HBCU program to increase research collaborations between Sandia NationalLaboratories and several major HBCUs nationwide (U.S. Department of Defense, 2020; SandiaNational Laboratories, n.d.). Important aspects of such models include defining a common
motivation and engagement. Projects were developed by academics (research facultymembers or doctoral students) in their research laboratories. The purpose of this exploratorystudy is to understand the motivation the academics had to engage with students and invest timeand resources in creating research projects not attached to students' grades or credits. Weconducted interviews with academics to understand why they decided to engage with theresearch projects. Our results suggest that the most important thing was to develop student-teacher engagement, which had an implication later on in their classrooms. Similarly, they saw itas a mentoring opportunity and as a way to improve their time-management skills.IntroductionStudent motivation and engagement
timeallotted to the project during the semester (approximately 6 weeks), the instructor gave thespecific problem definition to the students rather than having them perform their own problemdefinition based upon a more generic needs statement.The instructor provided each student team with low-cost materials with which they could form asimple treatment device, namely a container using two-inch PVC pipe and endcaps, andtreatment materials including filter paper, sand, gravel, and activated carbon. Additionalequipment, such as a peristaltic pump and a digital refractometer, were available for the studentsto use. The teams constructed and tested their treatment devices in the chemical engineering unitoperations laboratory. Typical student constructed
initial tensor componentsand the rotation to be applied, and the program displays the final results without any intermediatehistory) or not widely available (e.g., [20]). In response, the present authors have developedapplications that illustrate three-dimensional tensor transformations dynamically, in real time.This paper documents the development of these applications and serves as their public debut.Of particular relevance to the present work, we note that Pirker [21] has used virtual reality (VR)to create a virtual “educational physics laboratory” and has compared the efficacy of the VRexperience on mobile devices versus in the classroom. The results of Pirker’s study [21] indicatethat the mobile experience profits from more flexibility and
analysis quadcopter platformincludes various sensors used to analyze the water composition and properties. These includepH, saturated oxygen, and temperature. They are connected to a custom PCB, and the data can becollected and stored to the device. The data can be retrieved once the measurement mission iscomplete. The rate of reading sensors can be chosen. Moreover, this water analysis quadcopterplatform is capable of collecting water samples for further analysis in a laboratory. This is basedon the use of a custom designed peristaltic pump. The pump speed can be controlled, and it willcontrol the amount of the water sample and the speed of the collection. Furthermore, this wateranalysis quadcopter platform has an underwater camera, and it can
need (kWh), students determined the number of solar panelsrequired to offset the load. They used PVWatts® Calculator tool [20] developed by NationalRenewable Energy Laboratory (NREL) and other online resources provided (e.g., commerciallyavailable solar panels). They calculated the battery bank capacity needed to store enough energyfor a day. They sized and selected the solar charge controller, inverter, circuit breakers, junctionbox, and other components and developed a one-line electrical diagram for the solar PV System.Phase 2: In phase two, students included the energy load for conditioning the house provided bymechanical engineering students. ME students provided two different energy loads; one based ona building envelope compliant with
and Lecturer. He brings experiential knowledge to Fluid Mechanics, Thermodynamics, Heat Transfer, Ships and Maritime Systems and Laboratories in Engineering Experimentation, Machine Design, Electric Circuits and Machines. Starting out as a USCG licensed Merchant Marine Officer and U.S. Navy Reserve officer, he progressed into long time ownership of van Zelm Engineers, Connecticut’s largest Mechanical and Electrical engineering firm. After retiring from his practice, he joined the faculty of the U.S. Coast Guard Academy, after previously serving as an Adjunct Professor at Central Connecticut State University. © American Society for Engineering Education, 2022
, all while continuing tomake progress towards their four-year degree.Another way for four-year universities to assist each two-year college is to identify and betterunderstand all of the required university courses that are unable to be offered at the two-yearcollege level due to various reasons [4], [7]. An example of this would be Direct Current (DC)Circuits with a Laboratory component, a 3-credit course requirement of the IRE-Bell programthat is not consistently offered at some two-year institutions due to various state requirementsand varying enrolment demands. Although transfer students are required to complete DCCircuits Lecture and Laboratory before transferring and taking the advanced Circuits courses atthe university level, IRE-Bell
are upper division laboratory courses and capstonedesign taught by engineering instructors. Prior to entering these courses, the writing instruction atypical engineering student would have received was through their university freshman levelEnglish composition courses, or their high school courses if they test out of the university course.In these engineering courses, students are typically required to write large design reports,experimental plans, and technical reports, which are generally not accompanied by any formalcommunication instruction. As a result, students are learning technical communication skills inan ad hoc and implicit manner through practice rather than instruction, with some studentshaving the advantage of additional
of those particular courses. In this offering format, a program isstill able to teach the material that is deemed necessary for students to learn before they graduate,but allows students to apply that knowledge in particular applications that are of the most interestto them. For example, suppose that a program wishes to teach students how to design laboratoryexperiments. The program could teach this in one particular laboratory course. Or the programcould offer two or three laboratory courses that focus on different particular subdisciplines in thefield, and teach students in each of these courses how to design experiments. By requiring thatstudents take at least one of these elective courses, the program guarantees that the students
thinking and making processes to their work. He is interested in the in- tersection of designerly epistemic identities and vocational pathways. Dr. Lande received his B.S. in Engineering (Product Design), M.A. in Education (Learning, Design and Technology) and Ph.D. in Me- chanical Engineering (Design Education) from Stanford University.Dr. Karim Heinz Muci-Kuchler, Texas State University Dr. Karim Muci-Kuchler is a Professor and Mechanical Engineering Program Coordinator at the Ingram School of Engineering of Texas State University. Before joining Texas State University, he was a Professor of Mechanical Engineering and Director of the Experimental and Computational Mechanics Laboratory at the South Dakota School of
] V. Svihla, S. Wettstein, J. Brown, E. Chi, and M. Wilson-Fetrow, “Consequential Agency in Chemical Engineering Laboratory Courses,” presented at the 2022 ASEE Annual Conference & Exposition, Aug. 2022. Accessed: Dec. 13, 2022. [Online]. Available: https://peer.asee.org/consequential-agency-in-chemical-engineering-laboratory-courses[23] D. H. Jonassen, “Toward a Design Theory of Problem Solving,” Educ. Technol. Res. Dev., vol. 48, no. 4, pp. 63–85, 2000, doi: https://doi.org/10.1007/BF02300500.[24] K. Dorst and N. Cross, “Creativity in the design process: co-evolution of problem– solution,” Des. Stud., vol. 22, no. 5, pp. 425–437, Sep. 2001, doi: 10.1016/S0142- 694X(01)00009-6.[25] A. Morozov, D
training, workforce development, and engineering education. Through these research topics, Raissa has been publishing papers for peer-reviewed journal and conference pro- ceedings. Also, she is part of Dr. Siyuan Song’s research lab, the Safety Automation and Visualization Environment (SAVE) Laboratory, which integrates technologies and education themes to improve build- ing performance and safety engineering.Dr. Siyuan Song, The University of Alabama : Dr. Siyuan Song is an assistant professor and the director of the Safety Automation and Visualization Environment (SAVE) Laboratory in the Department of Civil, Construction, and Environmental Engineer- ing at the University of Alabama (UA). Prior to joining UA, she was
laboratories forresearch and development. Table I Study Participant Demographics Participant Name Job Sector 1 Dale Government Agency 2 Melissa Government Agency 3 Marcel Government Contractor 4 David Government Research Laboratory 5 John Private Industry - Aerospace 6 Dominic Private Industry – Engineering Technology SolutionsA total of five semi-structured
ApproachA single section of the course met twice per week for 110 minutes (about 2 hours) per sessionover 15 weeks (about 3 and a half months) during the Fall 2022 semester. The classroom was ourmechanical engineering laboratory space (~500 ft2), which is suitable for both lecture and hands-on activities.The course centered around taking an existing electromechanical system and introducing asignificant modification to add new capabilities. The basic platform was a simplified version ofan open-source replica of the Mars Perseverance rover (see Figure 1). [9] Figure 1. The open-source replica of the Mars Perseverance rover. [9]The 14 students were first divided into three teams (two teams of five and one of four
Purdue School of Construction Management Technology, ICON-affiliated faculty, and and Director of the Purdue Laboratory for Future-Ready Infrastructure (FuRI Lab). His research focuses on the development of innovative models for (i) assessing the level of infras- tructure flexibility, resilience and responsiveness required to manage future uncertainty, and (ii) creating optimal risk-reducing interventions for construction and infrastructure. Dr. Martani is a former Research Associate at the IBI, D-BAUG of ETH Z¨urich (2015-2021), and at the Centre for Smart Infrastructure and Construction (CSIC) of the University of Cambridge (2013-2015). He holds a PhD in Technology and Design for the Built Environment (TePAC) from
.)The learning outcomes for this project were for students to be able to: - Draw information from a variety of online models and databases, - Estimate atmospheric pollutant concentrations given limited information, and validate against existing datasets for model accuracy, - Develop substantive hypotheses regarding potential causal societal factors for pollutant concentrations, and - Use a statistically appropriate method to infer trends, or lack thereof.Students were allowed to present their results in any form of summary that they deemedappropriate: while most employed a more typical laboratory report style structure to their reports,some employed PowerPoint, or slide style presentations to emphasize the
bachelors in computer science at CSU, Bakersfield. My primary interest is in Ar- tificial Intelligence. I am currently conducting research in Computer Vision. Particularly, using AI in order extract valuable data from Core slabs in order to improve the energy industry. In the future, I would love to pursue a Masters degree in the field of Artificial Intelligence and apply my knowledge to solve problems around the world.Dr. Alberto Cureg Cruz, California State University, Bakersfield Dr. Cruz is an Assistant Professor of Computer Science, Principal Investigator of the Computer Percep- tion Laboratory (COMPLAB), and board member of the Center for Environmental Studies (CES) at the California State University, Bakersfield