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
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
mid-power solid propellant rockets bySpearrin and Bendana [6]. The approach is very helpful as it requires the students to solvevarious laboratory assignments as well as the working on the project. Individual professionalportfolios and roles were assigned to the students within each team such as design andmanufacturing engineer, etc. to motivate the students to show practical implications and real-lifeexperience. Investigation of the student performance characteristics of hybrid class for theengineering course of Statics was performed by Myose et al. [7].One thing common amongst all the studies cited so far is that none of the studies devised,investigated and implemented a course instruction structure for the specific courses studied
diligently.2.4. Standardized and iterative formative assessmentsIn this category, alternative grading approaches are applied for formative assessments orassessment for learning [13] through standardized and iterative feedback. In the literature,standardization approaches include specifications grading [14] and standards-based grading [2],which, in our view, involve an explicit mapping between learning outcomes and assessmentresults. Such standardization has also been commented on as an essential element forcompetency-based education [25]. Generally, the literature has reported positive learning effectsin various course contexts such as mathematics [26], [27], chemistry laboratory courses [28], andsoftware projects [29]. Standardization can also
assignments. There will be more data collection for future course offeringsof non-design courses including Process Control, System Dynamics and Control, EnergyConversion and Experimental Measurements Laboratory. Moreover, incremental changes in thecourse assignments, including incorporation of micro-assignments related to EML outcomes, andrevision of instructions and resources for digital communication, along with assessment tools willbe made based on student feedback and faculty input after each semester. This study along withother future studies can be carried out to focus on exploration of other EML outcomes such ascreating value.7. AcknowledgementsThis content was created through the author’s work with the Kern Entrepreneurial EngineeringNetwork
Mechanical Engineering Laboratory courses. In addition, Dr. Ayala has had the opportunity to work for a number of engineering consulting companies, which have given him an important perspective and exposure to the industry. He has been directly involved in at least 20 different engineering projects related to a wide range of industries from the petroleum and natural gas industry to brewing and newspaper industries. Dr. Ayala has provided service to professional organizations such as ASME. Since 2008 he has been a member of the Committee of Spanish Translation of ASME Codes and the ASME Subcommittee on Piping and Pipelines in Spanish. Under both memberships, the following Codes have been translated: ASME B31.3, ASME
teamwork, and expands social skills. To introduce hands-on learning activities in the heattransfer and thermodynamics classroom, we have developed a low-cost shell-and-tube desktoplearning module to provide effective heat exchange instruction. This module allows students toexperiment with a shell-and-tube heat exchanger in the classroom or laboratory and learn the basicprinciples behind the heat flow between two non-contacting fluids. In this paper, we will presentthe design, manufacture, testing, and classroom implementation of this low-cost, reproducible,highly visual miniaturized shell-and-tube heat exchanger module. The highly visual nature of thedeveloped desktop learning module helps students identify the key components of a shell-and
the mechanical engineering capstone projects, introducing non-profit partnerships related to designs for persons with disabilities, and founding the Social/Environmental Design Impact Award. He manages several outreach and diversity efforts including the large-scale Get Out And Learn (GOAL) engineering kit program that reaches thousands of local K-12 students.Dr. Elisabeth Smela, University of Maryland College Park Received a BS in physics from MIT and a PhD in electrical engineering from the University of Penn- sylvania. Worked at Link¨oping University in Sweden and then Risø National Laboratory in Denmark as a research scientist before joining Santa Fe Science and Technology as the Vice President for Research
industry is a key concern inengineering education.Compounding this preparedness problem is the COVID-19 pandemic, which prompted rapidchanges to the higher education system and caused significant disruptions to both teaching andlearning. During this period, most institutions shifted to emergency remote learning whichaffected both how academics taught and how students learned. Studies have shown that this shiftto online instruction disrupted in-person laboratory courses, causing engineering students to loseopportunities for hands-on learning [10]. Moreover, some instructors were faced with a need toremove content from their courses in order to adjust to lost instruction time [10]. These COVID-related challenges lead us to believe that the pandemic
incorporated into the draft curriculum. A key to the student-centered process we took was to start from the perspective of howmany student contact hours each of our current (quarter) courses have–broken down by lectureand laboratory. When putting together options for the courses, we calculated the new studentcontact hours and compared them to the quarter hours. The accounting of hours is a moreaccurate representation of the conversion from quarter to semester and took out some of theuncertainty of the conversion. For example, the direct conversion of a 3-unit lecture quartercourse is a 2-unit lecture semester course (3 times 2/3). On the surface, a 2-unit course soundslike and can feel like a loss when in reality both have the same number of
methods to solve the system ofnonlinear differential equations that govern fluid flow and heat transfer, with some initial andboundary conditions. However, due to the limited computational resources available for classroominstruction, the problems used for illustration and laboratory assignments are limited to simplecanonical types. This means that students will not be able to analyze realistic problems withpractical applications, which are inherently complicated, computationally expensive, and requirehigh-performance computing (HPC) clusters that take advantage of massive parallelization. In thispaper, a course in the curriculum that addresses this issue is proposed. In this course, thefundamental theories of high-performance computing will
Press, 2018.[2] Y. Liu, "Design of instructional tools to facilitate understanding of fluid viscous dampers in avibration and controls class and course assessment," 2020 ASEE Virtual Annual ConferenceContent Access, 2020.[3] C. C. McDaniel and G. C. Archer, “Full-scale Mechanical Vibrations Laboratory,” In 2013ASEE Annual Conference & Exposition, pp. 23-628. 2013.[4] A. Danesh-Yazdi, Y. Wu, and O. Onipede, “Interactive Simulation Modules (ISMs) inVibrations,” 2019 ASEE Annual Conference & Exposition, 2019.[5] T. M. Ericson, “Lessons for Effective Use of MATLAB and Simulink to Explore AdvancedTopics: Application in a Vibrations Course,” 2021 ASEE Virtual Annual Conference ContentAccess, 2021.[6] A. Rezaei and A. Davari, "Teaching
fluid physics that surrounds us in our daily lives. Despite being aradical departure from typical engineering curricula, the course was very successful in attractinga diverse group of graduate and undergraduate students, particularly women studyingengineering. One of the key outcomes of the course was the recognition by students of theaesthetic value of fluid physics and the motivation it provided for life-long learning.Course Objectives and DescriptionThis course offers a unique blend of scientific and artistic techniques for visualizing fluid flowsin the laboratory and in everyday life. Through hands-on exploration, students learn to use dyesand particles to create visual representations of the physics of fluid flow. They also gain
Paper ID #37219Student Success in 4-D (SS4D): Toward a Holistic Understanding ofEngineering Student Success in Motivation, Curricular Attainment andExperiential Opportunities across Educational StagesSamantha Splendido, Pennsylvania State University, University Park Sam Splendido is a Ph.D. student in Mechanical Engineering at Pennsylvania State University. She is cur- rently a graduate research assistant under Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL). She earned her B.S. in Biomedical and Mechanical Engineering from Pennsylvania State University.Dr. Andrea Gregg, Pennsylvania State
Lab Activities for a Course on Fluid Power Design and Development of Pneumatic Lab Activities for a Course on,” 2017.[8] M. Mikhail and G. P. Neff, “A Non-Commercial Pneumatic Trainer with PLC Control,” 2016.[9] A. Alavizadeh and M. Mikhail, “Design and development of Robust Portable Trainers used in PLC and Pneumatic Laboratories,” 2020.[10] L. Anderson et al., A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives, 2nd ed. New York: Addison Wesley Longman, 2001.[11] S. Brown, Play. New York: Penguin Group, 2010.[12] “Milwaukee Tool 40" Steel Work Cart.” Accessed: Feb. 06, 2024. [Online]. Available: https://www.milwaukeetool.com/48-22-8590[13
Paper ID #43454The Use of Animated Visual Aids in the Education of Undergraduate EngineeringStudentsMr. Mohaned Samer Ahmed, Texas A&M Univeristy at QatarOsama Desouky, Texas A&M University at Qatar Osama Desouky is a Technical Laboratory coordinator at Texas A&M University in Qatar. Osama is currently pursuing his Ph.D. in interdisciplinary engineering from Texas A&M University at College Station. He is responsible for assisting with experimental method courses, 3D printing, mechanics of materials, material science, senior design projects, and advanced materials classes. Osama’s professional interests
cannot fulfill this request ...” [9]. Otherthan these obvious phrases, it is challenging to detect AI authorship in programming, laboratory,and/or design projects, so faculty are concerned about it being difficult to uphold academicstandards [10]. At our University, the percentage of referrals for academic sanctions involvingstudent use of AI is almost 40% in the first half of the academic year 2023-2024 where noreferrals for academic sanctions involving AI occurred in the academic years 2021-2022 or2022-2023. Faculty do not want to read and grade AI-generated reports purported to be authoredby students.This paper evaluates the impact of ChatGPT on a mechanical engineering thermodynamicscourse, focusing on a writing assignment that required
in computer aided design." 1999 ASEE Annual Conference, Charlotte, NC, Jun 20th-23rd, 1999. [3] Chester, Ivan. "Teaching for CAD expertise." International journal of technology and design education 17: 23-35, 2007. [4] Bloom, Benjamin S. "Learning for Mastery. Instruction and Curriculum. Regional Education Laboratory for the Carolinas and Virginia, Topical Papers and Reprints, Number 1." Evaluation comment 1.2 (1968): n2. [5] “Entrepreneurial Mindset” engineeringunleashed.com. https://engineeringunleashed.com/mindset (accessed January 2nd 2024).
retention of low-income engineering transfer students.Kameryn DenaroDr. David A. Copp, University of California, Irvine David A. Copp received the B.S. degree in mechanical engineering from the University of Arizona and the M.S. and Ph.D. degrees in mechanical engineering from the University of California, Santa Barbara. He is currently an Assistant Professor of Teaching at the University of California, Irvine in the Department of Mechanical and Aerospace Engineering. Prior to joining UCI, he was a Senior Member of the Technical Staff at Sandia National Laboratories and an adjunct faculty member in Electrical and Computer Engineering at the University of New Mexico. His broad research interests include engineering
accompanying laboratory course that utilized bothtraditional and inquiry-based activities. Both the course and lab are required for third-yearstudents completing the mechanical engineering concentration and are taught annually at a smallliberal arts university.Each year, students completed the Heat and Energy Concept Inventory (HECI), hosted online atthe AIChE Concept Warehouse, as both a pre- and a post-test for the course. Statisticallysignificant differences were found between the pre/post mean responses for the completeinventory as well as the inventory’s content areas. In addition, statistically significant differencesbetween pre/post mean responses in a given year are considered in light of any substantialchanges to the course material and/or
team-based work structures, perfor- mance management, quality management, research methodology, and engineering education.Mr. Francisco Cima, Old Dominion University Francisco Cima is a PhD student of Engineering Management and Systems Engineering at Old Dominion University. He obtained his Masters in Business Planning and Regional Development from the Techno- logical Institute of Merida. His areas of interest are innovDr. Krishnanand Kaipa, Old Dominion University Dr. Krishnanand Kaipa is an Assistant 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
”, URL http://mechanicaldesign101.com/ mechanism-generator-2-0/#MechGen3.[15] Norton Associates Engineering, “Linkages”, URL http://www.designofmachinery.com/ Linkage/index.html.[16] SoftIntegration, “Ch Mechanism Toolkit”, URL http://www.softintegration.com/ products/toolkit/mechanism/.[17] Ltd., P. M., “MechDesigner”, URL http://www.psmotion.com/.[18] Laboratory of Computational Mechanics, R., Bryansk State Technical University, “Universal Mechanism”, .[19] KCP Technologies, “The Geometer’s Sketchpad”, URL http://www.dynamicgeometry. com/.[20] International GeoGebra Institute, “Geogebra”, URL http://www.geogebra.org/cms/.[21] Rector, D., “Linkage”, URL http://blog.rectorsquid.com
fully absorbed in the simulatedexperience. Pointing with motion sensing gloves, remotes, or eye detection gave a more realisticexperience than using a mouse and keyboard commands. Imagination or belief that the user is in thevirtual environment is impacted by immersion and interactivity of the virtual experience. VR laboratories,testing, and demonstrations can provide students with a better intuitive understanding of the content. Study ContextMachine Design at Penn StateOver the past eight years, Dr. Daniel Cortes (an author on this paper) has been the instructor for sixsections of a machine design course, which has been offered in-person through traditional instruction. Theinstructional approach
Paper ID #41343Supporting First-year Students in an Introductory Mechanical EngineeringCourse to Succeed in StaticsDr. Dave Kim, Washington State University, Vancouver Dr. Dave Kim is Professor and Mechanical Engineering Program Coordinator in the School of Engineering and Computer Science at Washington State University Vancouver. His teaching and research have been in the areas of engineering materials, fracture mechanics, and manufacturing processes. In particular, he has been very active in pedagogical research in the area of writing pedagogy in engineering laboratory courses. Dr. Kim and his collaborators attracted
practical laboratory experiences withinengineering courses. Additionally, 72.5% of students believed that learning about the stories ofhistorical figures strongly or somewhat enhanced their interest in studying engineering principles(Q6). These findings underscore the potential benefits of integrating historical content intoengineering curricula to enrich students' learning experiences and foster greater engagement withthe subject matter.When students were asked about their exposure to engineering case studies (Q7), 56.4%indicated that they have encountered such studies. Among these students, 69.1% felt that the casestudies significantly or somewhat improved their understanding of the real-world applications ofengineering principles (Q8
issuepercolates to more advanced upper-level courses where numerical techniques are inherentlyrequired to adequately describe various physical phenomena or in laboratories where datacollection hardware interfacing is paramount. In an attempt to mitigate the difficulties of learning programming logic and thereforeincreasing content interest and ultimately course performance, MATLAB Grader was employedin two different instances of the course. The first was during the Winter 2021-22 term where thebulk of the homework consisted of MATLAB Grader problems (about four to six problems perweek), but other homework problems were also assigned requiring in-person check-ins (one ortwo per week). The MATLAB Grader problems were used to build the conceptual
-founded his company in 2003 and started manufacturing automatedheavy mechanical equipment such as road blockers, boom barriers, bollards, turnstiles, and firedoors in 2009. He emphasized the importance of standards for reliability and efficiency of themechanical products, and their compatibility with other systems. In his experience, exportquality of industrial products is achieved by following international engineering standards,which greatly increases the market value of such products. Apart from mentioning UL(Underwriters Laboratories) standards and other manufacturing standards for mechanicalequipment, electronics and fire doors, the participant also considered the workplace safetystandards critical for the physical well - being of on-site
current research interests lie in theapplications of materials science and advanced manufacturing methods.Ben FlemingBen Fleming is the long-time machinist of the mechanical engineering department at theUniversity of Arkansas. He has a career of knowledge in manufacturing and over 20 years ofexperience helping students build their senior design projects. He offers an outside-of-classopportunity born out of his own passion to teach students about design for manufacturabilitythrough machine shop instruction.Han HuHan Hu is an Assistant Professor in the Department of Mechanical Engineering at the Universityof Arkansas. He leads the Nano Energy and Data-Driven Discovery (NED3) Laboratory, and hisresearch includes experimental characterization and
developing and implementing pedagogical methods in engineering education.Dr. Samuel Garcia, Texas State University Dr. Samuel Garc´ıa Jr. serves as an Educator Professional Development Specialist at Kennedy Space Center. Prior to his position at Kennedy Space Center, Dr. Garc´ıa worked at NASA’s Jet Propulsion Laboratory in Pasadena, CA. As an education specialist, Dr. Garc´ıa is deeply committed to developing STEM educational mindsets, tools, and resources and facilitate educational experiences for educators and students. Prior to working as an education specialist, Dr. Garc´ıa served as secondary school educator in Rio Grande Valley in Texas for seven years. Dr. Garc´ıa, a first-generation college student, earned both