technology programs have sought to establish the correct balance of theory andpractice to maximize student learning. It is often difficult to overcome preconceived notions thatstudents bring with them, such as the comparative speeds at which objects of different weightsfall under the force of gravity [1]. By engaging students through demonstrations, hands-ondesign and fabrication projects, and physical laboratories, misconceptions can be overcome, thusreinforcing the fundamental principles needed in engineering education [2], [3].Eight years ago, the School of Engineering and Technology restructured its undergraduatecurricula to include the PBL core in each program. Each academic year BSEE, BSECET, BSE,and BSET students experience one or more PBL
Engineering Technology (EET) shouldcover the following topics:1) Robots and Degrees of Freedom2) Representation of Rigid-Bodies in 2D and 3D Space3) Kinematic Chains and Forward Kinematics4) Velocity Kinematics and Statics5) Inverse Kinematics6) Dynamics7) Control Systems, Actuators and SensorsActuators, Sensors and Control Systems are important elements of the EET program. We madea point to emphasize these areas of Robotics in the Laboratory section of the course.Course LayoutWe felt the textbook that best fit our needs was “Modern Robotics Mechanics, Planning andControl” by Kevin M. Lynch and Frank C. Park. One of the many advantages of the textbook isshort video lecture segments provided on-line for students to view. The videos covered
high output performance under low illuminance conditions Stable performance in extreme environmental conditions (high temperature, high moisture, extreme cold) Conform to RoHS/SVHC standardsStudents sought assistance from a laboratory RA for safety inspection and suggestions of thecomponents prior to testing. The device was encased for safety and tested prior to testing(Figure11). FIGURE 11 SAFETY INSPECTION P RIOR TO TESTINGA market analysis was completed to determine manufacturing costs of the device with a specified number of units toproduce (Table 2). The costs are much more affordable than current marketed bioreactors. Initial Capital Investment
someobservable characteristics of the modeled system. To analyze the existing system, a model was created where pressure, temperature and flow in inlet and outlet, RPM and torque were selected as parameters and system efficiency was selected as output. The analysis found that the outlet pressure and RPM were the most significant parameters for optimizing efficiency. Further analysis was done using Excel considering only pressure and RPM. It was found that system gains maximum efficiency (89.34%) at pump pressure of 196 psi and speed of 1700 RPM. Conclusion A prototype of a hydraulic system is created in the laboratory and the performance data of the pump under all operating conditions within the range of the design limits is acquired
Paper ID #21717Supporting Veteran Students Transitioning to EngineeringDr. Colleen Janeiro, East Carolina University Dr. Colleen Janeiro teaches engineering fundamentals such as Introduction to Engineering, Materials and Processes, and Statics. Her teaching interests include development of solid communication skills and enhancing laboratory skills.Dr. Teresa Ryan, East Carolina University Dr. Teresa Ryan teaches mechanical engineering fundamentals such as Dynamics, Mechanics of Materi- als, Acoustics and Vibrations. She also focuses on technical communication skills within an engineering context. Her research interests
13 Semester Project Report 14 Lab Final (No lab assignment) 3.4 Lab Environment The DS course uses one of the dedicated CNSA laboratories for its lab assignments. The lab contains 22 desktop workstations. All workstations are updated Dell OptiPlex server with 2G RAM. There is also a server farm mounted on a computer rack with another 20 workstations, which is used in other courses. We utilize Virtual Machines (VMWare [6] and VirtualBox [8]) to set up a lab environment for students. Each of the 22 host machines runs VMWare Server, and students do all of their work in virtual machines. Figure 2 shows lab setup. There is a virtual test bed with
Graduate Teaching Associate for the Fundamentals of Engineering for Honors program, he is heavily involved with developing and teaching laboratory content, leading the maintenance of the in-house robotics controller, and managing the devel- opment of the robotics project. c American Society for Engineering Education, 2018 Technology’s Role in Student Understanding of Mathematics in Modern Undergraduate Engineering CoursesAbstractThis paper seeks to identify important implications on the use of technology in the teaching ofmathematics in modern undergraduate engineering courses. These are used to create a big pictureof the current situation of engineering mathematics teaching
laboratory projects andgroup/design projects throughout the degree course. Starting with teamwork allows us aseducators to highlight the importance of collaborative working within the student cohort, witha view to creating an open culture, whereby students are supportive of each other, and canexpect support from their peers and staff. The workshop should not only highlight theimportance of formal group work, but to allow students to see themselves as an “effective”team throughout their course, even outside of assessments. If students are able to effectivelysee themselves as a team throughout their degree course, they can maximise their educationthrough peer-to-peer learning and co-operation[6].The main aims of carrying out the transferable skills
translate to post-graduation success. For example, students involved in research report greater confidence in theirability to relate to people of different races, cultures, or backgrounds, work successfully on ateam, and listen effectively [2]. These skills, individually and/or collectively, could translate intobenefits in post-secondary education or professional settings.In addition to the above benefits to students, faculty who mentor undergraduate student researchmay benefit by having additional assistance in a laboratory or with data collection, expansion oftheir own creativity and critical thinking, and overall professional growth [5].The objective of this study is to examine, from the perspectives of both mentors and mentees, theperception of
alongside key concepts and practicesin the informal teaching and learning space.Implementation StrategiesThis case study is based on an informal education program which provides students with anopportunity to dive into hands-on engineering. This program also serves as a laboratory settingfor teacher-researchers to pilot new programming that they would not have the opportunity to trywithin the formal classroom. The program serves approximately 100 diverse 6th and 8th gradegirls in an engineering summer program. The diversity of the educators may add to theinnovation with formal educators including a secondary math teacher, K-5 STEAM specialists,an inclusion coordinator, a tech integration specialist, secondary science educationundergraduates
, C. M. Crowe, T. W. Hoffman, J. D. Wright, P. A. Taylor, K. A. Woodhouse, and C. G. K. Bouchard, "Developing Problem Solving Skills: The McMaster Problem Solving Program," Journal of Engineering Education, vol. 86, pp. 75-91, 1997.[2] J. D. Lang, S. Cruse, F. D. McVey, and J. McMasters, "Industry Expectations of New Engineers: A Survey to Assist Curriculum Designers," Journal of Engineering Education, vol. 88, pp. 43-51, 1999.[3] C. Hmelo-Silver, "Problem-Based Learning: What and How Do Students Learn?," Educational Psychology Review, vol. 16, pp. 235-266, 2004.[4] Ram and P. Ram, "Problem-Based Learning in Undergraduate Instruction. A Sophomore Chemistry Laboratory," Journal of Chemical
class learn from each other through thesepresentations. This approach facilitates the development of communication, people, andcollaborative skills and in overall it contributes to the leadership development. The classroomenvironment turns into a laboratory where the desired leadership characteristics of today’sprojects are discussed. The recent dynamics in the construction industry bring the expectation of constructionprofessionals’ leadership starting from the early design phase and continuing through the post-construction phase which includes the “useful life” of a building. This expectation necessitatesconstruction professionals to handle
Paper ID #24887Development of Remote Virtual Teach Pendant for Robot Programming: LessonsLearnedDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufactur- ing. He is also the Director of the Rockwell Automation laboratory at Texas A
that all functions, especially role modeling but also including collaborationand problem solving, contribute to the leadership development of the engineering faculty whoparticipated in this study based on anticipated results from field notes collected by the researcher. Along with role modeling, the author anticipates finding that observation will be a centraltheme among leaders. Most of the engineering faculty are trained as scientists and engineerswho practiced observation in their professional lives in the laboratory or in the field, allowingthem to lean into a skill they are familiar with in their leadership development. Observing othersand watching the environment around them – how others lead, respond, react in
admission requirements for studentsapplying to the two programs. This distinction is typically characterized by the adoption ofdifferent curricula, instructional approaches, a mix of lectures and laboratories, and textbooks. Itis broadly expected that such an approach would facilitate the development of different domainsof knowledge, ranging from more abstract and theoretical for engineering students to moreapplied and hands-on for engineering technology students. Considering the disproportionatedifferences in the spatial contents, tools of spatial representation, and associated spatial reasoningprocesses in fundamental courses such as solid mechanics or fluid dynamics, this study seeks tofind a relationship, if any, between students’ spatial
explore moreabout privilege, perspective, and how hard work – while it makes a difference – may not get oneas far if there are systemic hurdles in their way. The role of one’s community on the individual’ssuccess is discussed further as well.Lecture 6: Teaching with ConstraintsIn this activity, students put into groups and asked to design a typical lab lesson. They are told thatthey have access to a standard laboratory classroom, will have a diverse class among manydimensions stressing that there will be students of varying familiarity with the material, ethnicitiesand socio-economic backgrounds. They are told that the materials for their lab cost about $300and to plan accordingly. After the initial lesson is designed, each group is given
tracked for five semestersbeyond.Foundationally, this engineering major discernment study is theoretically founded in SocialCognitive Career Theory (SCCT) to consider students decisions14-15. SCCT is used to evaluate thegoals, outcomes expectations, and self-efficacy beliefs14. An engineering education based studyon engineering major discernment used SCCT by VanDeGrift and Lao reported that courseprojects, faculty advisory interactions, and other laboratory experiences were influential inengineering major selection. The current study expects to reveal that other targeted courseexperiences would likewise influence students16.Research Questions: 1. How effective is the engineering informed decision making module at meeting its intended goals
formulation and development.Evaluation: Each topic was aligned with a laboratory assignment, problem identification, group(2-4) oral presentation, and a final project deliverable.Module 2: Weeks 3-4, United Nations SDG-4 Quality of EducationThe second module focused on the integration of vectors, geometry, trigonometry, andexperimentation for analysis of scientific phenomena and engineering systems, addressing UNSDG-4 Quality of Education.Specific objectives of this moduleStudents will learn to apply mathematical concepts to determine: (i) forces and stresses in staticsystems comprising linear elements, (ii) reflection and refraction of light from plane interfaces,and (iii) current in a simple circuit. Students will also learn to take measurements
] P. Deshpande, C. B. Lee, and I. Ahmed, “Evaluation of Peer Instruction for Cybersecurity Education,” in Proceedings of the SIGCSE Conference, 2019.[9] F. Ning, W. Cong, J. Qiu, J. Wei, and S. Wang, “Additive manufacturing of carbon fiber reinforced thermoplastic composites using fused deposition modeling,” Compos. Part B Eng., vol. 80, pp. 369–378, 2015.[10] J. M. D. Hill, C. A. Carver, J. W. Humphries, and U. W. Pooch, “Using an isolated network laboratory to teach advanced networks and security,” in Proceedings of the thirty- second SIGCSE technical symposium on Computer Science Education - SIGCSE ’01, 2001, pp. 36–40.[11] D. Dasgupta, D. M. Ferebee, and Z. Michalewicz, “Applying Puzzle-Based
-internship 4 Software 3 Tutor 2 Volunteer 1 Shadowing 1 Makerspace 1 Laboratory-course 1 First-Year-Design 1 Figure 2. Frequency of workshops applicants’ responses about their previous experiences and word cloud representation of the data.Open-ended questions were gathered to help the authors get additional insight into the students’reason why they want to participate in the workshops even if it is not for a grade. Understandingstudent’s motivation to
) programs in aneffort to more holistically develop future scientists and engineers as described above, but thevery asset of the apprenticeship, the highly-situated nature of the REU, presents challenges forprogram design. REU’s typically mirror the laboratory experience of advanced level graduates,with undergraduates working closely with graduate student mentors and situating knowledge inauthentic and novel research projects over a six-to-10-week summer program, as opposed tohighly structured classroom-style learning models. Historically, many REU’s heap theresponsibility of leading inexperienced undergraduates in learning and integrating into a newfield onto postdoctoral or graduate student mentors who often have “little preparation, support
) Robotics competitions (such as RoboCup, IDC Robocon, ROBOTAC) and internships in technology companies and laboratories can also offer chances to think computationally in engineering practices. Table 3. CT Components in Courses Modeling Complex Digital DigitalEducation Model Examples and Problem Literacy Leadership Simulation Solving Fundamentals of
2017, 2017.[28] A. S. Bowen, D. R. Reid, and M. D. Koretsky, "Development of interactive virtual laboratories to help students learn difficult concepts in thermodynamics," Chemical Engineering Education, vol. 49, no. 4, pp. 229-238, 2015.[29] E. D. Sloan and C. Norrgran, "A neuroscience perspective on learning," Chemical Engineering Education, vol. 50, no. 1, pp. 29-37, 2016.[30] F. Paas, A. Renkl, and J. Sweller, "Cognitive load theory: Instructional implications of the interaction between information structures and cognitive architecture," Instructional science, vol. 32, no. 1, pp. 1-8, 2004.[31] M. W. Liberatore and K. Roach, "Building Spreadsheet Skills Using an Interactive Textbook," in ASEE
the microcontroller board. While assembly coding is important to learn thehardware intimately, the higher level C language is more productive in terms of development costs,and also C is less error-prone. Students find that the embedded course is rigorous and challengingthroughout the semester, but builds their confidence in the subject and usage of the microcontrollerdevelopment board – Dragon 12B plus. Laboratory exercisers use several different sensors and motordriver modules as peripherals in addition to the built-in components on the hardware board. The embedded systems lab experiments build confidence in students so that when theirembedded class final (exam) project [1] is assigned, they are not fazed by it. That project is to
positive.Reference1. Clark, W. and DiBiasio, D. (2007). Computer simulation of laboratory experiments for enhanced learning. ASEE Annual Conference and Exposition. Honolulu, Hawaii, June 24-27.2. Chapra, S. and Canale, R., 2014, Numerical methods for engineers, 6th edition, McGraw-Hill Higher Education.3. Richard G Budynas and J Keith Nisbett, 2015, Shigley's Mechanical Engineering Design, 10th edition, McGraw-Hill Higher Education.4. Moazed, A.R., Roberts, R., Le, X. and Duva A., 2010, Teaching finite element analysis in undergraduate technology curriculum. ASEE Northeast Section Conference, Wentworth Institute of Technology, Boston, MA, May 7-85. Brown, A., Rencis, J.J., Jensen, D., et al, (2008). Finite element learning modules for
asintroducing index cards for students to write questions and concerns; others engaged in a full flipof their classroom. Also, many of the participants indicated that they are comfortable employinginteractive strategies in small, higher level courses or laboratories but continue to use primarilylecture when teaching large, entry-level courses. How can SIMPLE groups be adapted to addressthe challenge of translating these strategies to large courses? Would it be valuable to createSIMPLE groups that focus on this challenge, perhaps across disciplines?Many of the teaching development group participants had begun using interactive teachingstrategies recently (1-2 years) before joining the group. It is likely that because interactiveteaching was relatively
. selection, set-up, and calibration of instrumentation and the preparation of laboratory reportsand systems documentation associated with the development, installation, or maintenance ofmechanical components and systems;c. basic engineering mechanics.An associate degree program must have an integrating or capstone experience which utilizes theskills acquired.For baccalaureate programs, given the breadth of technical expertise involved with mechanicalsystems and the unique objectives of individual programs, programs may focus on preparinggraduates with in-depth but narrow expertise, while other programs may choose to preparegraduates with expertise in a broad spectrum of the field. Therefore, the depth and breadth ofexpertise demonstrated by
Paper ID #24669Effective Faculty Development – More than Time in the SeatDr. Louis J Everett P.E., University of Texas, El Paso Dr. Everett is the MacGuire Distinguished Professor of Mechanical Engineering at the University of Texas El Paso. Dr. Everett’s current research is in the areas of Mechatronics, Freshman Programs and Student Engagement. Having multiple years of experience in several National Laboratories and Industries large and small, his teaching brings real world experiences to students. As a former NSF Program Director he works regularly helping faculty develop strong education proposals
sensortechnology that we call interactive-Newton (i-Newton) as a learning platform. This technology(Fig. 1) represents a versatile, portable, and inexpensive means for students to explore dynamicsconcepts in any setting without a substantial investment in traditional laboratory apparatuses.Figure 1: An i-Newton with the sensor-fixed frame of reference etched on top. It contains atriaxial accelerometer and angular rate gyro (that measure linear acceleration and angularvelocity, respectively) as well as a microcontroller and flash memory for data sampling andstorage.In the classroom, active learning is traditionally defined as any instructional practice thatinvolves students in the learning process through approaches like cooperative learning, problem-based
interact with engineers. Some ofthese activities were conducted in university laboratories and some in the engineering conferencearea that is the location for the summer camps. Activities were led by engineering students andfaculty. IRB approved protocols were followed. The total number of participants in the campsduring summer 2018 was 62 that included 20 in the Young Women in Engineering camp, 17 inthe First Generation camp and 25 in the open-enrollment Introduction to Engineering camp.Seven campers did not have parental consent and we did not have complete data for eight. Hencethe total number of participants included in year 1 of the study was 47.Quantitative Data collectionQuantitative data consists of a pre-survey, administered