: Robotics Technology in the department of Computer Engineering Technology atCUNY-New York City College of Technology is offered as a technical elective to its senior students. Inaddition to introducing fundamental subjects in both Autonomous Mobile Robot [1] and RoboticManipulator [2], another goal is to prepare students with necessary knowledge and skills for roboticprogramming and design. The course is structured to have a 2.5-hour lecture session and a 2.5-hour labsession each week. When teaching onsite the school (i.e., in-person), students were given physical robotsfor implementation of the algorithms discussed during lectures. When access to laboratory facilities wasimpossible under e-learning (for example, during the COVID-19 pandemic
at Morgan State University. His research areas are application of biological systems in the solution and prevention of environmental problems and development of sustainable energy.Dr. Adedayo Ariyibi, Morgan State University Dr. Adedayo Ariyibi is a faculty in the Department of Biology, Morgan State University in Baltimore, Maryland. Prior to joining the department in 2010, the Department of Veterinary Biochemistry, Physi- ology and Pharmacology of the Veterinary School, University of Ibadan, Nigeria appointed Dr. Ariyibi (Nee Akintola) as Lecturer 11 and later Lecturer 1 to pioneer the teaching and research in Veterinary Bio- chemistry from 1992 to 2000. Dr. Ariyibi relocated to the United States for Post-doctoral
students in modular hands-on learning opportunities thatteach Satellite estimation, sensing, actuation and control. The platform allows students toimplement several custom designed Satellite control schema on hardware and compare simulatedand actual performance results, thereby increasing conceptual understanding of how control gainsaffect the overall system dynamics (stiffness, damping, etc). This is accomplished on thehardware through the employment of a wireless embedded Satellite control board programmedwith Simulink and a LabVIEW-based Base Station. Figure 1 shows the main Satellite and Base Station without any additional modular accessories
experimental setup as one of the possible student laboratory exercise in anengineering experimentation course. We had nine students complete this optional assignment ina class of 89 students. We measured student engagement with a survey and analyzed studentwork. Students liked the mode of data acquisition and student success was high. We believe thismethodology is particularly important when delivering experimentation remotely, including ourcurrent pandemic situation.INTRODUCTIONCollege education is an enabler. It enables fulfilling one’s dreams and economic prosperity at alarger scale. However, due to ever-increasing costs of higher education, a discrepancy exists inaccessibility to higher education. Only 1 in 10 people in low-income families get a
, assembly of the associated electronics during the lab period isoften included. Presently, labs are often either: 1) a series of disconnected/disjointed labs onlyfocused on a single-sensor-application or 2) pre-fabricated equipment setups purchased fromeducation companies, which are often costly and have a small scope with very limited possibilityfor future modifications. Both also suffer from “cookie-cutter” type approaches, which stiflestudents from experiencing true engineering design methodologies. Both existing solutions oftenhave no flexibility to be switched between in-person and online teaching; if it is even possible tobe implemented online.In this BYOE presentation, we present the design, fabrication, and implementation of a hybridSensors
Options for Analog and Digital Circuits Suitable for In-Class or At-Home ExperimentsAbstractDuring a pandemic such as COVID-19, many institutions need to increase the portion of onlineinstruction and enforce social distancing in the classroom. It is challenging to maintain the samelevel of hands-on lab experience, and yet lab experience is essential for many courses andperhaps the most effective pedagogy to help students learn. There are three alternatives totraditional labs: (1) purely virtual simulations, via an app or software, an online platform, or avirtual environment; (2) remote labs to run experiments on actual hardware hosted off-site viainternet and parallel access; and (3) individual lab kits so that each student can
builds (loosewiring, bad sensors or actuator components, etc.) For the semester of this research study,Engineering Design & Society, a hands-on makerspace course, was switched to a fully onlinecourse due to COVID. In this temporality online form the course modality was structured as anonline synchronous course with individual at-home Arduino laboratory kits plus the parallelTinkercad Circuits virtual tool.Researchers have investigated comparisons between student performance using either virtual orphysical laboratories [1] [2]. Some studies have also investigated virtual tools that are acompliment to the physical laboratory activities [3]. In this course and research study the goalwas to investigate a more cohesive utilization of both the
difficult than its added valuejustified. Thus, for future at-home labs we would focus only on using smart phone sensors andbasic items that the students would be expected to have in their homes.IntroductionThe COVID-19 pandemic required an abrupt shift to online education in 2020, creatingparticular challenges in adapting laboratory classes that historically relied on specializedequipment and hands-on experiences. The hands-on experience is a particularly essential aspectof active learning for a laboratory course, as formalized by Chi’s learning taxonomy, whereinteractive learning is preferred to either constructive or passive learning [1], or Kolb’sExperiential Learning Cycle, which requires a balance of four abilities, including
laboratorycourse in Additive Manufacturing, and how the course was customized to meet the needs of eachstudent. The faculty members who developed the course identified the need to ensure that everystudent enrolled in the course has a 3D printer in their possession for the duration of the course tomaximize the hands-on applications of the course. Students are given two options forcompleting the laboratory course depending on their discretionary funds. Option 1 is to purchasea commercially available inexpensive kit, which they build and use for the course and then keepafter the completion of the course. Option 2 is to borrow a printer from the department, whichthey will need to repair or upgrade, use for the duration of the course, and then return to
Paper ID #32254Development of Attachments for the Quanser QubeDr. Diane L. Peters, Kettering University Dr. Peters is an Associate Professor of Mechanical Engineering at Kettering University.Mr. Aaron-Joseph Michael Jones American c Society for Engineering Education, 2021 Development of Attachments for the Quanser QubeIntroductionThe Quanser Qube is an integrated servomotor lab hardware platform [1], shown in Figure 1.This platform includes not only the direct-drive brushed DC motor, but also two encoders as wellas the data acquisition system. One encoder is used
to measureP-V-T relations for an ideal gas. The second part was a solar-powered hydrogen fuel cell vehicleand focused on energy conversion and efficiency concepts. The third is a project where studentsworked in teams to propose a project in their choice of one of two topics: one is a design projecton solar thermal energy and the other is a research project using calorimetry.The course consists of a 1-hour weekly lecture on Monday morning to discuss theory needed forthat week and present skills such as using MATLAB, uncertainty analysis, writing lab reports, etc.Students then meet in the afternoon on one day (Monday-Thursday) for a 3-hr lab session. Duringthis session, they are divided into breakout rooms to meet and work with their peers on
to measure usability and user experiences, a survey wasadministered to student laboratory employees and student end users. Open survey questions werealso included and analyzed for common themes to identify future improvements to the system.Student end users who also utilize lab resources in other areas of the School of Engineeringcompare and contrast their experiences between systems in terms of usability. Lab staff andinstructor perspectives will be discussed.Background Our Bioengineering, also referred to as Biomedical Engineering, educational laboratory,serves as both a teaching laboratory for regular laboratory courses, while at the same timeremains open for general use, as a “MakerSpace.” 1 While some of these classes use
function. For example, the edX course on electrical circuits listsas learning objectives: designing and analyzing circuits; lumped circuit models and abstraction;construction of simple digital gates; and measurement of circuit variables [1]. This paper is abouta course designed to enable the novice learner to begin using foundational understanding todesign simple instrumentation circuits that can sense and measure physical phenomena that areconcrete to the novice learner, such as angle, weight, temperature, relative humidity, distance,and one’s own heartbeat, pulse, and blood pressure. After completing the modules, students aregiven an opportunity to design a final project involving sensing, measurement, andinstrumentation. As a first-semester
Mechanics, Materials Science and Engineering(MATSE), Industrial Engineering, Biomedical, Nuclear and Mechanical Engineering. This is aspecialized course, which provides a survey of standard nondestructive evaluation (NDE)techniques. American Society for Nondestructive testing (ASNT) defines NDE as “the process ofevaluating, testing, or inspecting materials, components or assembles for discontinuities ordifferences in (material) characteristics without destroying the serviceability of the part of system[1].” The reason the course attracts a diverse body of students is that NDE is being increasinglyused in various industries for process control, flaw diagnosis and failure prognosis. There aremany different NDE techniques including [2] liquid
the physics if they conduct experiments and see for themselves how thephysics principles work in “real life.” As a consequence, there are no independent learningobjectives for the lab portion of a physics course, or it is often unclear to students what they needto learn in labs. However, recent data[1] from three institutions and nearly 3000 students showthere was no statistically measurable lab benefit in boosting content mastery of physics.Students perform similarly on questions whose target content was reinforced by a lab activity ason questions whose target content lacked an associated lab activity. This result, althoughsurprising, makes a strong case for reexamining the purpose of labs and how they are taught. Another cause of the
billion smartphones in the world [1].OZCAN [2] provides a high-level overview of mobile phones for imaging/microscopy, sensing,medical diagnostics and general measurement science, enabled by the pervasiveness, low cost,connectivity, and increasing performance of mobile phones with CCD cameras and otheraccessories. A few trends noted by OZCAN [2] are analogous to Moore’s Law inmicroelectronics: 1. The yearly increase in pixel count of mobile phone images is exponential, 2.computer processing power of mobile phones is also increasing exponentially, approaching thatof PCs, 3. Mobile phone network speed is increasing and closed to the average speed of internetcommunication rates (bps), and 4. The cost of data transmission ($/Mbit) via mobile
, or orientation. The success of the project and real time presentation has encouraged students toparticipate in more active learning and innovative challenging projects integrated in many other courses inEngineering Technology department at SHSU by offering new and challenging concepts to the curriculum.Index Terms-- Analog-Digital Integrated Circuits, Analog to Digital, Digital to Analog, Digital Circuits, andUltrasonic Variables Measurement 1. INTRODUCTION The first human interaction of an ultrasonic wave was in 1794 by Lazzaro Spallanzani when he wasdemonstrating how bats were able to fly safely and effectively in the dark. Through further study andexperiments, scientists were able to develop a method to use the waves for detection
included.BackgroundThe demographics of engineering student populations have changed and an increased number ofstudents are entering engineering programs with little to no prior hands-on experience. Thisleaves them at a disadvantage both in terms of success in mastering the curriculum and level ofcompetitiveness for internships [1, 2]. As these students move through a typical engineeringcurriculum, a focus on abstract theory and mathematical concepts over physical applications andmeasurable observations will fail to give them the necessary hands-on experience, reducing thechances that the information will be retained over the long term [3]. Students who have specificlearning styles that favor physical experimentation and real-world experience are also left at
collect samples from water sources near the student living area,to include treated tap water, an estuary, and a reservoir. Examples of water quality analysesstudents complete include titrimetric methods, which are applied to measure parameters such astotal hardness and total alkalinity; and UV-Vis spectroscopy to measure dissolved iron. The goalof the new laboratory sequence was to implement the following key elements: (1) supportcontent goals of the course; (2) be hands-on; (3) balance expository and inquiry-basedinstruction; (4) be feasible to implement with available resources; and (5) promote a constructiveaffective learning environment. The first four elements listed above were assessed based onalignment with course learning objectives and
performance in application, and iden- tifying desirable processing routes for its manufacture. To this end, the research group employs a blend of experimental, theoretical, and numerical approaches, focusing on several areas, including: 1. Processing-Microstructure-Property-Performance Relationships: thermal barrier coating, solid oxide fuel cell, hydrogen transport membrane, lithium-ion battery 2. Physics-based Multi-scale Models: ab ini- tio, molecular dynamics (MD), discrete element models (DEM), finite element models (FEM) 3. Coupled Phenomena: diffusion-thermomechanical properties 4. Additve Manufacturing (AM) or 3D Printing: AM materials characterization, AM process (laser metal powder bed fusion, ceramic slurry
Mechanical Engineering and an M.F.A. in Television Production. He also has three B.S. degrees in Liberal Arts, Mechanical Engineering, and Sustainable Energy.Prof. Jing Zhang, Indiana University Purdue University, Indianapolis Dr. Jing Zhang’s research interests are broadly centered on understanding the processing-structure- property relationships in advanced ceramics and metals for optimal performance in application, and iden- tifying desirable processing routes for its manufacture. To this end, the research group employs a blend of experimental, theoretical, and numerical approaches, focusing on several areas, including: 1. Processing-Microstructure-Property-Performance Relationships: thermal barrier coating, solid
, have been around as a technical solution in education for severalyears, these technologies are not yet widely used in higher engineering education. This state-ment is made in comparison to the opportunities made possible with remote labs. Consideringthat remote labs are represented as equipment that can solve location, time and capacity con-straints in laboratory education, this is surprising as many educational institutions suffer fromexactly such constraints. Existing literature shows that classroom laboratory solutions aremainly stand-alone solutions which require physical equipment and cannot be used synchro-nously among several institutions [1], [2], [3]. In this context, the VISIR system represents anexception [4]. The introduced VISIR
the largestcontributor to errors in dimensional metrology and a lab controlled at 20°C ± 0.5°C withhumidity below 50% is the most effective way to eliminate these errors. The collaborativepartnership that created the lab evolved from a six-sigma study conducted by the industrypartner, focusing on metrology skills [1] and is discussed in more detail in the work by Stahley,et al. Other courses have been developed by the author and more information on those coursescan be found from an additional paper [2].Measurement in Undergraduate EducationMeasurement in undergraduate engineering education is not a frequent topic at most engineeringeducation institutions. Significant time during that education is spent solving advanced mathproblems and
. We collected and analyzed undergraduates’ lab reportsamples (n = 18) of the first lab and the last lab in order to identify the ZPD of lab report writingin the context of three entry-level engineering lab courses. We developed and used an inclusiveassessment rubric originated from the 2014 Writing Program Administrators OutcomesStatement for First-Year Composition (WPA 3.0 outcomes) to analyze recurrent patterns ofstudents' writing 1) in disciplinary meaning-making (i.e. organizational structures, reasoning, useof sources, etc.) and 2) technical communication (i.e. writing conventions, use of multi-modaldesign and/or quality of graphs/tables, etc.). This preliminary research uses Vygotsky's ZPD toidentify the area of writing knowledge that
group and 89 in thenon-specific-instruction, treatment group. Results show that more treatment students thancontrol students learned to scale a signal on an oscilloscope screen , while control studentslearned to use an oscilloscope’s built-in save/recall feature more effectively. There is also weakevidence that shows greater affective gains in the treatment group. This shows that there ispotential for increasing student learning by studying how best to write laboratory manuals, andthat increasing reflection is a way to achieve that goal. However, it also shows that there aremany ways to increase reflection, and further research is required to identify them thoroughly.1 IntroductionLevel of inquiry refers to the specificity of instructions and
into the pedagogy of laboratory design.1 IntroductionEngineering is a discipline that requires interaction with the physical world, so it is of littlesurprise that there is broad consensus among engineering educators that laboratory classes are animportant part of engineering curriculums [1]. However, the Accreditation Board forEngineering and Technology (ABET) doesn’t specify how many laboratory classes should be inan engineering program, instead offering the guideline that laboratory experiences should be“appropriate to the program” [2]. Literature is also quiet on the question of “how manyengineering laboratory classes does an undergraduate engineer take?”This study tried to answer that question by performing a systematic review of
, and numerical approaches, focusing on several areas, including: 1. Processing-Microstructure-Property-Performance Relationships: thermal barrier coating, solid oxide fuel cell, hydrogen transport membrane, lithium-ion battery 2. Physics-based Multi-scale Models: ab ini- tio, molecular dynamics (MD), discrete element models (DEM), finite element models (FEM) 3. Coupled Phenomena: diffusion-thermomechanical properties 4. Additve Manufacturing (AM) or 3D Printing: AM materials characterization, AM process (laser metal powder bed fusion, ceramic slurry extrusion) design and modeling (http://www.engr.iupui.edu/˜jz29/) c American Society for Engineering Education, 2020
Switching Regulator OperationIntroductionAt the University of Virginia, we have experienced increased student interest in alternate andrenewable energy topics in Electrical and Computer Engineering over the past five years. Thishas presented a challenge, as we currently only offer a single "Electromagnetic EnergyConversion" course, which is in a lecture format with a required associated laboratory section.To address this challenge, we have been systematically phasing out older topics, i.e., D.C.motors, and adding course content relevant to photovoltaics and wind energy production, i.e.,microgrids [1]. This has necessitated a redesign of some of our laboratory experiences andrequired us to reconsider the most efficient way to transmit a breadth of
motions.The implemented prototype has the ability to move in 4 axis directions with 4 servo motors. Thevoltage across variable resistors is not completely linear rather a noisy one. Capacitors are used acrosseach resistor to filter out this noise, as shown in figure 1. This voltage represents the control positionand is fed into four ADC channels of Arduino to get corresponding digital values. The Arduino UNOADC has a resolution of 10 bit, means it maps input voltages between 0 and 5V into digital valuesbetween 0 and 1023; in other words, 4.9mV per unit. This project is very helpful for beginners whowant to make a robotic arm with low cost.Objectives Create artificial arms for different inhuman situation Motivate new students in robot
configuration is given in Figure 1. Thedeflection voltage of the Wheatstone bridge is the input variable to the data acquisition system.Therefore, the output voltage needs to be related to the change in strain of the soda can. Thisstrain information is then used to determine the internal pressure change based on the physics ofthin-walled pressure vessels. POWER SOURCE DAQ UNITFigure 1. Schematic for the Wheatstone bridge circuit.Students use a soldering iron to attach a strain-gage on the soda can and electronically wire it asone of the bridge’s arm as shown in the schematic in Fig