that troubleshooting exercises helped them perform better in other labs andprojects; about 56% of students agree or strongly agree that troubleshooting exercises helpedthem better understand the theory introduced in the lectures.Sample troubleshooting exercises, troubleshooting rubric, detailed student performanceevaluation data, students’ and instructors’ feedback, and future plans for improvement arepresented.* Appearance of authors is in alphabetical order by last name.IntroductionAccording to a national survey of business and nonprofit leaders commissioned by AACU [1]:93% of employers surveyed say that “a demonstrated capacity to think critically, communicateclearly, and solve complex problems is more important than [a candidate’s
Advisory BoardIntroductionVirtually all construction companies use some form of software to complete constructionquantity take-offs and cost estimates. The array of available software is quite extensive [1]. Theavailable software poses several challenges for their selection, installation, and use.Construction firms must consider several variables and the stakes are very high as these tools canfundamentally change how a company does business, which directly affects the bottom line [2][3]. In order to stay current with the industry, academic institutions must follow the industry’slead by adopting current and relevant software and integrating these technologies into thecurriculum. Thus, academia faces the same software selection challenges as does
tool to track and monitorobjects identified with RFID tags in real time within local environment and even globally. Thetracking and monitoring of objects with unique identifiers and transferring the acquired data overa network without human-to-human or human-to-computer interaction is called the Internet ofThings “IoT”. Roselli et al [1] summarizes some of the most important technologies participatingin the implementation of the IoT paradigm. These technologies are: Radio FrequencyIDentification (RFID), Green Electronics (GE), Wireless Power Transfer (WPT) and EnergyHarvesting (EH). Jayavardhana Gubbi et al [3], presented the important role of the RFID systemsin enabling the realization IoT as the next revolutionary technology. Ouyamg et al
methodology of dividing the discipline into bifurcatedcourses. Rather, this approach prepares the student to pursue the discipline of System Designfrom at least four different perspectives, via: 1) PLD/FPGA centric system design, 2)Microcontroller-based Embedded System Design, 3) PC based / or System on the Chip (SoC)-based systems such as Beagle Bone Black-based Network-oriented Distributed System Design,IoT and cloud-centered programming, and 4) DSP-based Real-time Processing-Based SystemDesign. The paper will summarize the content of eight total courses that all have the commonvein of system design.Also examined in this paper is the origin of Outcome Based Education (OBE) as a philosophyand its implementation in our curriculum, designed and
necessary to form areas of future study that may provide the means toimprove STEM education nationally or perhaps globally.Programs exist to aid STEM educators in engaging students [1] and with integrating STEM inthe classroom [2] but little is known about STEM educators themselves. Existing literature islimited to rather niche areas and focuses on performance in the classroom and improving thatperformance. Information concerning who educators are and where they work is not evident.Without a basic understanding of who STEM educators are, work intending to strengthenteaching abilities cannot be optimized [3]. The intent of this work is to provide a basic look atSTEM educators’ demographics, education history, and work experience. This early
SkillsAbstractThe paper expounds the practices utilized in teaching a two course sequence for theundergraduate curriculum, 1) Introductory C++ Software Design course and 2) An EmbeddedSystems Design course. This two course sequence is exclusively based on Structured ProgramingMethodology (SPM). The pedagogical underpinning for these courses is in strict adherence to theStructured Programing model, and is based on the interdependence among problem solving,cognition, and program (software design) development [1].Presented is a learning model that these courses adhere to for the purpose of Problem Solvingboth in general and specific to Engineering and Technology. Cognitive skills are developed,honed, and enforced by practicing the SPM. The model aptly taps
of EngineeringTechnology in Northwestern State University (NSU) to design an eighteen-hole mini-golf project(DMGP).Two NSU senior students from the Engineering Technology Department, ET, accepted to workon the community project. Both students had a deep understanding of the architectural draftingand a good familiarization with the software design AutoCAD.Further discussions with the mayor office identified the need to incorporate different themes thatreflect the historical and cultural aspect of the region and the State of Louisiana. The themes are: 1- No Man’s Land, 2- Fort Polk 3- Timber Boom 4- Railroad.Based on these new requirements, three more students from the Creative & Performing ArtsDepartment
projectinformation was shared with the class on the first day of the semester. A group of topics wereidentified for the students. Subsequently, the students chose topics the first week of Septemberand provided rough drafts the first week of October which received peer and faculty reviews.Finally, the project was turned in the Monday of Thanksgiving week. It should be noted that thevideo was not peer reviewed.The survey required students to self-assess three main topics: communication skills, studentinterest/engagement and project value/format using a Likert scale (Genereux 2014) shown inTable 1. The survey questions varied slightly between the two groups as they specificallyidentified the name of the course and degree programs
an essential part of the testingprocess because the standard specimens ensure meaningful and reproducible results.1 Tohelp improve students’ critical thinking, hands-on experience, and potential researchinterest, an enhanced tensile testing laboratory project was developed that accounts forspecimen condition and variability.MET students at two campuses of XXXXX University participated in this enhancedpolymer tensile testing laboratory project. Campus A is a commuter campus with abalanced population mix of traditional and non-traditional students and typicalengineering technology class sizes of 10-20. Campus B is a large residential campuspopulated by traditional students, transfer students, and a handful of non-traditionalstudents. At Campus
c American Society for Engineering Education, 2019 COMBINING SIMULATION AND EXPERIMENT TO DETERMINE FLUID FORCES IN THE FLUID MECHANICS LABORATORYAbstract: The Fluid & Hydraulic Mechanics course in our Mechanical Engineering TechnologyProgram is the first of the two courses our students take in our ET Department. The course is anintroductory class in Fluid Mechanics and it is structured as a four credit hour course, consistingof a 3 credit hour lecture and a 1 credit hour laboratory component. During the spring 2018 term,a new laboratory exercise was introduced in our curriculum to cover buoyancy and momentumtheory. The exercise consists of two parts: an online simulation using the PhET
onConstruction Management (CM) Programs. There is a growing need to replace an aging constructionworkforce and shortfall in skilled tradespeople, especially considering many do not considerconstruction an ideal career choice. A vital point often overlooked is the underlying motivation topursue STEM or CM as a career choice. Despite attempts, there is an opportunity to gain deeperinsights from individuals in CM degree programs. This study explores the following research questions:1) What are the common attributes of college students that decide to pursue CM degrees; and, 2) Whatkey motivational drivers that encourage students to remain in STEM majors? The study populationconsidered were those students enrolled in CM undergraduate degree program in the
andmicroprocessor development is inevitable. However, there are issues and challenges in choosingwhich family of microcontrollers to select, such as Microchip PIC, Arduino ATMEL, ARM etc.for engineering education and training. The Texas Instruments (TI) ARM M4 microcontroller was selected because the NSF I-CorpL project results indicated that the academic community needed a new advanced microcontrollerplatform to meet industry technical training demands [1]. The TI ARM M4 based curriculum designand development project illustrates how the collaborative efforts between faculty at differentinstitutions can be beneficial in developing instructional materials that lead to effective teaching andimproved student learning. There are several other
enhance existing microelectronic courses that allow students to gain hands-onexperiences in mobile embedded system designs. Moreover, the customizability and portabilityof the embedded sensing platform can also be used for the unmanned aerial vehicles in the GPS-denied environments.Introduction In the past decades, microcontrollers/microelectronics have been played central roles inensuring safe and efficient operations of many modern large-scale infrastructures, such asintelligent transportation systems, smart power grids, and smart manufacturing systems [1]. Oneof the critical issues in applying existing microelectronic technologies to these modernengineering systems is their lack of modular portability, scalability, customizability
................................................................................................................................... iiiI. INTRODUCTION ........................................................................................................................1II. SYSTEM DESCRIPTION ..........................................................................................................2 1. Overview by Block Diagram ....................................................................................................2 2. Vehicle Components and Data Collection ................................................................................2 a. Boe-Bot Chassis(1) ...............................................................................................................2 b. Fiberglass Platform(1
that enhances their knowledgeand independent thinking outcomes. The outcomes of this independent learning experienceresult in increased technical communication skills and real-life technical competences andprovide an understanding of the importance of lifelong learning [1]-[6].Identification is defined as the capability to find, retrieve, report, change, or delete specific datawithout ambiguity. The automatic identification concept has been given a major attention in thepast decades and as a result, different types of identification systems have been invented. Someof the existing identification systems that are widely used nowadays include fingerprintidentification, barcode systems, smart cards, and radio frequency identification (RFID) that
manufacturingengineering education is structured with respect to knowledge, skills, and efficiency [1, 2].Looking towards Making and its implications on production and education could address theseissues and return US to manufacturing advantage. Making is generally understood by three corecharacteristics. First Making is typically viewed as a hobbyist practice rather than a professionalone [3]. Second, Making brings with it experimentation through tinkering, iterative development,and prototyping [4]. Finally, Making is geared towards the creation of single unique artifacts [5].Making holds the potential for a significant educational impact for students. Prior work hasdocumented how Making can improve both STEM learning outcome, this through the acquisitionof a
created at a rapid pace. This isevident in the number of job openings growing at double-digit rates since mid-2017 [1]. Thistrend created a new set of problems in finding a matching workforce that will support thegrowing areas of advanced manufacturing in digital talent, skilled production and operationalmanagers. The digital talent includes programming and managing a pool of computer-enabledmachines and equipment.According to the study by Deloitte and the Manufacturing Institute [2], the skills gap may leavean estimated 2.4 million positions unfilled between 2018 and 2028, with a potential economicimpact of $ 2.5 trillion. Further, the study shows that the positions relating to digital talent,skilled production, and operational managers may be
to 1950’s [1] researchers started to explore this technology. Simplyspeaking, computer vision deals with the technology that mimics the capabilitiesof a human (normal) vision system. Naturally, a normal human being is equippedwith sensors for five different sensing capabilities (vision, smell, taste, touch, andhear). These capabilities are controlled by the central nervous system (brain)allowing a human being to demonstrate intelligent behavior. By default, thevision system of a human being is three dimensional and it uses two eyes thatwork as sensors (detectors) to capture images. Earlier computer vision systemused only one camera along with the associated computational platform andsoftware and therefore, it dealt largely with two
research is the recognition thattechnology-related supply chain programs, and in particular the direction of the curriculum, benefitsignificantly from strong ties to industry.Keywords: Supply Chain Engineering Technology, Curriculum Trend and Development,Framework to Teach Supply Chain, Higher Education 1. IntroductionThe supply chain, which is referred to as the logistics network includes suppliers, manufacturingcenters, product designer, logistics provider, warehouses, distribution centers, finance provider,market researcher, work-in-process inventory, recovery facilities and finished products that flowbetween the facilities is an increasingly essential management activity in today’s businessenvironment (Figure 1) [1]. The nature of
on input from industrial constituents will be conducted.It is expected that the development of these six modules will address the limited exposure tofluid power that current students of engineering and engineering technology programs have, thusallowing them to consider careers in the hydraulic fluid power industry. The initialimplementation of the proposed development will take place in the Fall semester of 2019.IntroductionFluid power industry has wide applications in the manufacturing segment across the globe, it is a$100 billion industry. This is an important component for the U.S. economy (i.e., roughly 25%of market share), with a ten-fold downstream economic impact for the top ten industries utilizingfluid power [1]. Its range of
associated level oftechnology and cost: 1. Small, student-built version 2. Medium, classroom version used by all students 3. Large, full-featured version that was remotely accessible via the internetVersion 1 – Small, student-built house The first version of the IoT House was design so that a small team of students could buildtheir own structure. This structure was approximately 15”x15”x15” in size and was constructedprimarily from form board readily available from a local hardware store. The pieces for thewalls and roof were cut and glued together so that the house could be instrumented with the IoTdevices that the teachers received during the summer workshop. These devices can measure anumber of environmental parameters
ofEngineering (NAE) report published in 2017 [1], “Engineering Technology in the United States”.This report suggests that research addressing the engineering technology student population isunderrepresented in certain areas. Specifically, this work supports furthering our understandingof what influences student choice of major, how socioeconomic factors influence student choice,and how mentoring, peer support, and differences between 2- and 4-year schools impact studentprogress and choice. Recommendation 4 suggests that research is needed to understand thevariety of programs found in engineering technology and resulting employment followinggraduation. It also supports investigation into pay differences between disciplines and how thatimpacts students
, design, andimplementation of engineering and technology in engineering field. It is generally expectedengineering technologists often work under professional engineers. However, InternationalEngineering Technologists Agreement (IETA) stipulates an engineering technology shalldemonstrate “the competence for independent practice as an engineering technologist asexemplified by the International Engineering Alliance (IEA)1 competency profile.” IETA(Sydney Accord) provides knowledge profile for engineering technologists as: a systematic,theory- based understanding of the natural sciences applicable to the sub-discipline,conceptually-based mathematics, numerical analysis, statistics, and aspects of computer andinformation science to support analysis
that engineering technologyand related disciplines tend to be male dominated. The reporting students most frequentlyidentified as white, followed by Asian and Hispanic. Most students attended a suburban, publichigh school and about 47% of students reported receiving no support as they prepared to attendcollege.Key Words: Undergraduate students, matriculation, retention, graduation, engineeringtechnologyIntroductionThe work offered in this paper was intended to address recommendations 3 and 4 from a reportpublished by the National Academy of Engineering (NAE) [1]. This recommendation suggeststhat researchers focus on understanding the population of ET (Engineering Technology) studentsthrough understanding why they choose ET, socioeconomic
Design (CAD). c American Society for Engineering Education, 2019Enhanced Student Learning Experience in Technical Drawing and CADthrough Augmented Reality and Micro Credentials Yue (Jeff) Hung1, Daniel Weinman1 1 Farmingdale State CollegeAbstractComputer Aided Drafting and Design is a required freshman course for Mechanical EngineeringTechnology AAS and BS and Manufacturing Engineering Technology BS programs atFarmingdale State College. The course teaches students technical drawings and computer aideddesign (CAD) which includes 2D computer aided drafting, and 3D modeling. These topics areclosely related. The students who excel in these topics will have
correlations that emerged among the parents’knowledge and awareness of engineering and their students’ summer camp learningexperiences and outcomes. Because this study explores’ parents’ knowledge andawareness of engineering concepts, it is unique and has the potential to generate newquestions in engineering education research.IntroductionA talent pool with workers competent in the science, technology, engineering andmathematics (STEM) disciplines are necessary to be able to compete in the globaleconomy [1]. STEM workforces play an important role advancing technology andgenerating new approaches, ideas, and technologies [1]. While there is a high need forpeople who are proficient in STEM areas, there is a scarcity of interest for students whoare
Joseph A. Untener University of DaytonIntroductionThe Department of Engineering Technology at the University of Dayton (UD) is in the thirteenthyear of a successful 3+1 program with Shanghai Normal University (SNU) in China. Thisinnovative partnership brings together students from a public institution from one side of theglobe, in one of the most urbanized cities in the world, with students in a private Catholic schoolin the Midwest of the United States. Both groups benefit from this internationalization ofengineering education.The internationalizing of engineering education has been a goal of nearly every university formore than a decade. The National Academy of Engineering, for example, produced reports inthe
receive timely feedback from students.Many helpful feedbacks were received this way. Many students commented that interactiveactivities such as group discussion made them focused on materials which otherwise would makethem sleepy. Another feedback from students was that they would like the videos to be short.The eight to twelve minutes recommended by Abeysekera and Dawson 1 and Ronchetti22 seem tobe too long for our students. Majority students wanted five minutes or less. This will be a factorwhen the next modules are developed.It was noticed that the second flipped module contains three videos with total time of 20 minutes,these videos were created using the recorded lecture captured in the previous semester. Thecaptured lecture lasted about 45
additive manufacturingtechnologies. As a result, a variety of makerspaces were developed by various institutions, but inmost cases they are focused only on participation of white, male, middle-class, able-bodiedhobbyists who have the time and funds to access these spaces [1]. Due to its strategic location inthe Hampton Roads area of the Southeastern Virginia, Old Dominion University already serves awide population of women, underrepresented minorities, and military veterans entering theengineering and technology workforce. It is this university commitment to helping the workforcein the community to learn the necessary skills to adapt to the changing economy [2]. OldDominion University is supporting veterans and service members for over 70 years
to be sufficient to address this complicated, yetessential part of the accreditation process.The Model is based on a case of a program that has a Mechanical and ManufacturingEngineering Technology title. This program has to satisfy:1. ETAC a through k student outcomes,2. Society of Manufacturing Engineering (SME) a through d criteria,3. American Society of Mechanical Engineering (ASME) a thorough h criteria.Needless to say that the above reference Outcomes and Criteria (a, b….) of the threeorganizations do not necessarily line up. 1Our model was built in response to the need of finding a common denominatorOutcomes/Criteria and map the three different ones to it. We will demonstrate that the