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
sequence. The first courseis a four-credit, quarter-long course entitled Modeling and Numerical Analysis. This is a traditionalnumerical methods course, including topics such as matrix computation, root finding, numericalintegration, and numerical solution of differential equations [1]. This course also includes a laboratorycomponent, where modeling and numerical solution techniques are applied to a variety of mechanicaland thermal systems (such as a draining bottle, a heated and quenched object, and a spring-mass-damper system). Student feedback from this numerical methods course indicates two negative aspectsto this traditional approach to teaching numerical methods: • Despite the presence of a laboratory component, students cite a lack of
-time microcomputer- based laboratory tools,’’ Am. J. Phys. 58, 858–867 10. Sokoloff, D.R. (2004). Real Time Physics. John Willey and Sons, NY. 11. Hake, R.R. (1992). ‘‘Socratic pedagogy in the introductory physics laboratory,’’ Phys. Teach. 30, 546– 552. 12. Mazur, E. (1997). Peer Instruction:A User’s Manual. Prentice Hall, Upper Saddle River, NJ. 13. Christian, W. and Belloni, M. (2001). Physlets: Teaching Physics with Interactive Curricular Material. Prentice Hall, Upper Saddle River, NJ. 14. Van Heuvelen, A. (n.d.). ActivPhysics. Available online at http://wps.aw.com/aw_young_physics_11/ 0,8076,898588-nav_and_content,00.html7 15. Hestenes, D., Wells, M., and Swackhamer, G. (1992). ( "Force
importance of receiving guidance and assistance from a more experienced peer. Some graduate students might not be fully aware of what mentorship involves and the benefits that mentorship will provide to their professional development beyond the credit they will receive in the class for participating.Similar challenges were reported by Attarzadeh et al.19 while implementing a mentorshipprogram at the University of Houston where seniors were recruited to mentor students in lower-division laboratory courses. The authors proposed a set of strategies to improve the effectivenessof the program.Proposed StrategiesBelow are some of the strategies that will be implemented in our mentorship program based onour observations and suggestions by
of experiments steps andhad introduced some adjustments to their laboratory courses3, 6. As the group moved into thephase of formalizing a definition for these steps, each member shared what they did in their ownclasses. Group members critiqued each other’s laboratory assignments and had lively discussionsabout what really required students to “design” their experiments. Many discussions revolvedaround levels of proficiency for the rubric. For example for the “select the proper range ofindependent variables” step, the group discussed at great length the difference between“reasonable” and “optimal” ranges, giving examples from their own experiences. The resultingrubric was clearer and more generally applicable because of the input of this
surprise that we find fraternity files for examinations, term paper writing services, and plagiarism. Such activities constitute a personally rational response to a reward system which pays off for grades rather than knowledge.”The use of extrinsic motivators, particularly grades, is ubiquitous throughout universities,even though their negative effects on student learning and interest have been documentedthrough hundreds of studies. One of the main findings, confirming Kerr’s comment on“displacement” via Cognitive Evaluation Theory 17 – 22 , is that extrinsic motivators likegrades tend to reduce interest and enjoyment by shifting perceptions of control towardexternal, rather than internal forces.While the laboratory and experimental
organization (hardware) andhow to program it (software). Particular attention is given to the following areas: handlinginterrupts and interfacing analog/digital input/output devices. Laboratory work should givestudents hands-on experience. Pre-requisites include Introduction to Computer Architecture andProgramming in Assembly/C Languages. Examples of topics/activities include microprocessororganization, interrupt service routine (ISR), interfacing input/output signals, programmingADC, DAC/PWM, Sensors, etc. Development board (such as NXP DEMOEM board), softwarepackage (such as NXP CodeWarrior), and peripherals (such as LED, light sensor, temperaturesensors, motor, LCD display, etc.) are used to design and develop microprocessor basedembedded
will be impacted earlier and with a greater intensity that is otherwisepossible.Since its inception, the Pre-College Center has sought to become a driving force in providing increasingaccess to scientific and technological fields to all students. Through its careful and thorough planning thePre-College Center has been remarkably successful in reaching those populations that are traditionallyunderrepresented. The Center’s models for success bring academic opportunities to children who needthem most in the Science, Technology, Engineering, and Mathematics (STEM) areas, as well asdevelopment and dissemination of resource materials, standards-based classroom lessons and practices,laboratory experiments and demonstrations to teachers to integrate
“An Interdisciplinary Laboratory Sequence inElectrical and Computer Engineering Curriculum Design and Assessment Results” IEEETRANSACTIONS IN EDUCATION, VOL 43, 2 MAY 2000.[5] L. Barry, J. Ekstrom, S.Gorka, G. Hislop, R. Kimali, E. Lawson, et al., “CurriculumGuidelines for Undergraduate Degree Programs in Information Technology”, Association forComputing Machinery (ACM), IEEE Computer Society, Information Technology, 2008.[6] www.acm.org.[7] Shiao-Li Tsao, “A Practical Implementation Course of Operating Systems: Curriculum Designand Teaching Experiences,” Shiao-Li Tsao, 14th IEEE International Conference on Parallel andDistributed Systems, 2008.[8] J. Rugelj, J. Marzo, S. Knockaert, R. Van, J Salonen, K Bjorn, K Vaz de Carvalho
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
§ Photonics properties ofcomponents of this aspect of the course take place in themulti-user Micro Device Laboratory (MDL), a class 100 clean Nanophotonics nanomaterialsroom facility available to nanotechnology researchers, which § Optical tweezerscontains a complete suite of micro/nanofabrication and § Photonic crystals: a band gapcharacterization equipment. for photons § Introduction: how biologyThe second thread of the course entails characterization and “feels” at 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
[8]. Copyright ASEE Middle Atlantic Regional Conference, April 29-30, 2011, Farmingdale State College, SUNYProgress was slowed only a few years later by the rise to power of the Taliban in 1995. Talibanleaders closed girls’ schools in areas they controlled [8]. In these areas and elsewhere, basic andhigher education continued to decline as the country was torn by insurgency and ethnic fighting[7].At present, Afghanistan is missing many of its former lead academics, who were killed or fledduring the turmoil [7]. In many fields and at many universities, higher education curriculum wasfrozen in the 1970s and the curricula, textbooks, and laboratory techniques are now decades old.Technical and
algorithms to multiply matrices. Mechanical engineering coding exampleswere not integrated into the course; they were presented without instructional design forethought.2.2 Course delivery Prior to Fall 2006 the class met physically and the exclusive method of content deliverywas through face to face lecture. Instruction was provided in a workstation laboratory. Thislaboratory was a dedicated computational resource cluster of 30 UltraSPARC models 170 and170E workstations using the Sun Grid Engine software from Sun Microsystems. Each stationin the cluster had 128MB of physical memory, and contained one 167MHz US-I CPU. Theworkstations were interconnected using high-speed network infrastructure from Myricom. The instructor taught at
student’s points of view. Areas of future research will also be discussed.Review of Literature Most engineering schools use team based projects, or laboratory assignments to helpstudents develop skills necessary for their professional careers. Teamwork skills havetraditionally been developed by assigning students to teams. To some extent, this approach doesproduce results, but a better approach was undertaken at the University of Dayton[4] wherestudent teams were instructed on teambuilding and leadership. One of their suggestions was notonly to instruct, but to give students opportunities to work on teams where students refine theirskills as they mature though the engineering program. Many researchers have struggled with thedifficult task of
modules have been developed for a variety of undergraduate CivilEngineering courses, including the following areas: • Introduction to Civil Engineering Design • Mechanics of Materials and Materials Testing Laboratory • Soil Mechanics and Foundation Engineering • Contracts and Specifications • Environmental Engineering • Solid Waste Management • Reinforced Concrete Design • Transportation Engineering and Pavement Materials Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 412The following sections describe the objectives, scope, and
Springfield, MA. Dr. Vallee currently teaches graduate andundergraduate courses in engineering mechanics, experimental mechanics and machine design,and has published in the areas of nonlinear finite element analysis, experimental mechanics andthe experimental determination of dynamic material properties. Dr. Vallee received a BS inMechanical Engineering from the University of Rhode Island in 1985 and began working for theFastening Systems Division of the Stanley Works in East Greenwich Rhode Island soon after.Beginning as an Engineering Lab Technician, he received a number of promotions, serving as aTest Engineer, Design Engineer, Product Development Engineer and finally as the Manager ofthe largest Engineering Laboratory at Stanley. He received both
their teaching throughout theprogram. However, only one graduate student was a TA and had full access to undergraduaterecitation sessions; two other graduate students were teaching assistants but were involved withgrading and minimal classroom instruction. For this reason, the focus of the program was shiftedtoward learning about and discussing inclusive teaching, and away from implementation andformative feedback. In future iterations, consistent classroom, laboratory, and/or recitationinstruction will be a criterion to participate. It is expected that the TAs’ real-time classroomexperiences and the feedback cycle will generate rich discussion, challenge TAs’ thinking aboutinclusion and equity in STEM, and enhance TA and undergraduate
Science and Computer Engineering research and researchcapacity.VI. Current StatusThroughout 2024, both Morehouse College Computer Science and Georgia Tech ComputerEngineering program directors met monthly with specific program stakeholders to discussvarious related activities. Since the fall 2023 funding of the grant, a newly formed alliance led byGeorgia Tech has emerged to support HBCUs pursuing semiconductor manufacturing fundingopportunities. Additionally, in January 2024, the program directors and the program postdoctoured the Georgia Tech cleanroom laboratory, the largest in the southeastern US. Regardingconference and event travel, the Georgia Tech Computer Engineering program director attendedthe 7th Annual Collaborative Network for
ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgpeort, CT, USA. UBSwarm: Design of a Software Environment to Deploy Multiple Decentralized Robots Tamer Abukhalil Madhav Patil Robotics, Intelligent Sensing & Control (RISC) Robotics, Intelligent Sensing & Control (RISC) Laboratory Laboratory School of Engineering, University of Bridgeport School of Engineering, University of Bridgeport 221 University Avenue, Bridgeport, USA 221 University Avenue, Bridgeport, USA
. Undergraduatestudents also participate in major research projects by assisting graduate students. Their trainingat this stage includes laboratory safety, literature studies, data mining, documentation, andpresentation skills. At senior level, students may choose to enroll in an independent study,implement their research skills in senior design project, or define an undergraduate thesis. At thisstage, they meet advisor at least twice a month to learn about experimental and analytical studies.A typical undergraduate research should develop and implement either an experimental or ananalytical plan using available resources in college.At graduate level, students incorporate all previous components at a higher academic level. Atypical graduate research includes
or remove and replace segments through controlling the process. In 2011, biologist J.Craig Venter created the first viable bacterial cell that was designed in a lab by digitally writingits genetic code and synthesizing it in a laboratory.25 Science is advancing with the goal of beingthe first, for instance, to engineer skeletal muscle that can be used to repair damaged humanlimbs 26 or develop a new strain of fungus resistant corn.27 The behavior of a synthetic programcannot be completely and reliably predicted. Therefore, in designing a synthetic genetic programthere is the possibility of unintended consequences. This causes concerns about the creation oforganisms that may be harmful for humans and the environment and could potentially
inferred that the perceived importance of the Circuits course to EE majors may beone of the reasons why fewer of them take the class online. Another advantage of the on-campusgroup is the number of students who were concurrently taking the laboratory class for Circuits.A majority (83.3%) of on-campus students were taking the Circuits lecture and laboratorycourses simultaneously while only 12% of the online students were enrolled in the laboratoryclass. The laboratory class gives students opportunities to apply and experimentally verifyconcepts learned in the lecture course. In spite of the more favorable demographics of the on-campus group (more EE majors and more students taking the lab course), the on-line studentshave slightly higher (although
) 5-6 courses in Mathematics: precalculus (if needed), calculus (2 courses), multivariable calculus (1 course), differential equations (1 course), linear algebra (1 course). 2-3 courses in Physics: one year sequence of calculus-based physics and laboratories. 1 course Chemistry: college chemistry and laboratory. 1 course Programming: introductory programming for engineering and CS majors. 1 course Introduction to Engineering or Skills for Engineering Success: freshman course or choice of courses specified by the community college engineering faculty designed to expose students to engineering methodology and the excitement of engineering. 1 course oral communications (required for CSU
projects, or team laboratory assignments to help studentsdevelop skills necessary for their professional careers. Teamwork skills have traditionally beendeveloped by exposing students to team activities without discussion of teamwork techniques. To someextent, this lack of formal instruction does produce results, but a better approach was undertaken at theUniversity of Dayton2 where student teams were instructed on teambuilding and leadership. Manyresearchers have struggled with the difficult task of assessing teamwork and other soft skills involved inmulti-disciplinary PBL teams. Plumb and Sobeck3 put together a framework for developing assessmenttools. They urge instructors to develop a rubric to track performance over time.Teamwork in PBL is
to have an individual, dedicated“virtual” computer on which to experiment and complete a laboratory assignment withoutmodifying, if desired, the host “physical” computer and its resources11. Operating systemvirtualization has been a great facilitator at SOEC in the teaching of computer science,information technology and security courses6,10. A physical, hypervisor host machine has thecapability of running multiple operating systems concurrently, each of which is a guest machineor virtual machine (VM)12. Examples of a Hypervisor executing as an application are: 1)VMware Workstation under the Windows 8 O/S; 2) Parallels under the Mac OS X, or c) OracleVirtualBox on Windows, Mac OS X or Linux. Virtual Labs (VL). Lab assignments using VMshave
in 2019 and is currently pursuing his M.S.in Mechanical Engineering at UTSA focusing on robotics and control systems under the direction of Dr. Cody Gonzalez.Mr. Hicks-Ward’s professional career has led to over four years of experience leading technical operations with threeyears of experience in design optimization for manufacturability and serviceability of mobile robotics.KEVIN NGUYENMr. Nguyen is an undergraduate research assistant at the University of Texas at San Antonio where he is currentlypursuing his B.S. in Mechanical Engineering. He is also the Treasurer of the Design of Actuators, Robotics, andTransducers Laboratory under the direction of Dr. Cody Gonzalez.CODY GONZALEZDr. Gonzalez is an Assistant Professor in the UTSA
with distinction from the School of Informatics at the University of Edinburgh in 2007, where his thesis received the Informatics Prize for Outstanding Thesis. He attained his Ph.D. in Electromechanical Engineering at Ghent University and as a junior member of Wolfson Col- lege Cambridge in 2014. Dr. Dutta then moved on to a Postdoctoral Research Associate position in the Coordinated Science Laboratory within the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign.Dr. Hongyi Xu, University of Connecticut Assistant Professor, Mechanical EngineeringDr. Shengli Zhou, University of Connecticut Shengli Zhou (Fellow, IEEE) received the B.S. and M.Sc. degrees in electrical engineering and
as part of a larger study of student engagement inundergraduate engineering courses at a large public research institution. Seven large, freshman-or sophomore-level, TA-intensive engineering courses (3 Mechanical Engineering courses, 4Electrical Engineering courses) were included, with course enrollment ranging from 41-263students total and TA-led recitations, laboratories or quiz section enrollment ranging from 15 -40. Although TAs did not explicitly provide demographics for this study, the TAs in the sevencourses studies were approximately 67% male (33% female); 50% White (25% Asian, primarilyfrom Chinese and Indian backgrounds, 25% Other Race); and 80% graduate (20%undergraduate). TA training requirements varied. Some TAs were required to