Technology – Computer Engineering Technology (CoT – CET) program at theUniversity of Houston has implemented an undergraduate peer mentoring model as part of anNSF-sponsored program (grant no. DUE 0737526) examining the impact of incorporatingconcept mapping and undergraduate mentors on student learning at the freshman and sophomorelevels. The training for this mentoring model has been adapted from a peer-led team learningprogram [1] and incorporates concept mapping as a primary pedagogical tool for increasingmentee understanding of key concepts. This paper discusses the details of the proceduresfollowed to develop and implement the program which includes the special training to mentorson CMAPS, assessment activities survey instruments and the
were not part of the pilot group. In addition thereport presents similar performance analysis from collaborating institutions – HoustonCommunity College and TAMU Corpus Christi. I. MotivationThe College of Technology – Computer Engineering Technology (CoT – CET) program at theUniversity of Houston has implemented an undergraduate peer mentoring model as part of anNSF-sponsored program (grant no. DUE 0737526) examining the impact of incorporatingconcept mapping and undergraduate mentors on student learning at the freshman and sophomorelevels. The training for this mentoring model has been adapted from a peer-led team learningprogram [1] and incorporates concept mapping as a primary pedagogical tool for increasingmentee understanding of key
average environmental knowledgescores. There is no difference in average knowledge scores when comparing male and femalestudents. In addition, we report the results of an analysis of students’ data as collected within theworkshops. The study reveals several areas of troublesome knowledge of students. Page 14.1088.2IntroductionIn its report entitled “The Engineer of 2020: Visions of Engineering in the New Century”, theNational Academy of Engineering (2004) reported by the year 2020 “the world’s population willapproach 8 billion people”1. Not only will urban areas and developing nations experiencesignificant increases in population centers
resources for the students which can help them tounderstand the real engineering issues and show them how the technical concept can beused in real cases. Several examples from real engineering practices have been discussedin the class to help students to understand how the feasible engineering solutions improvethe quality of industrial product. Some class case studies, which can help studentsunderstand more real and challenging industrial issues, are shown as follows:Case study 1:One small company has the business in an industry dominated by some famouscompanies including General Electric. In order to make this company more competitivein this industry, please make the proper strategies on following products with youropinion: 1st priority, 2nd
knowledge.For example, ABET criterion 3d requires that engineering programs can demonstrate that theirstudents have "an ability to function on multidisciplinary teams." Thus, many engineeringprograms use teaming in their courses as a mechanism to achieve this outcome. Research on Teams Learning to “Working in Teams” “Working in Teams” “Work in Teams” to Design to Learn Figure 1. A Typology of Research on TeamsThe second research category, “working in teams” to design have also been addressed in manystudies. These studies have generally used qualitative research methods looking deep into thenature of team interactions
sense, the SDR is given a signal and it “solves for” or“calculates” the intelligence riding on it.Even before the development of microprocessors in the 1970s, engineers had been makingefforts to move signal processing out of the analog domain and into the more precise and flexiblerealm of digital signal processing (DSP). Early systems were crude, often converting the inputsignal with a single bit analog to digital converter (ADC) and integrating the number of 1 countsor triggering a counter with the input and processing the counter output for timing detection.Applications included LORAN and OMEGA navigation systems which relied on the relativetiming between received signals to fix location.Early systems were limited in a number of ways. Fixed
Compatibility Laboratory. His research and teaching interests include electromagnetic compatibility in high speed digital and mixed signal designs, electronic packaging, and© American Society for Engineering Education, 2009 electromagnetic compatibility in power electronic based systems. Page 14.463.2© American Society for Engineering Education, 2009 Development and Evaluation of a Characteristic Impedance Calculator Amendra Koul1, Keith Hoover2, Vysakh Sivarajan1, Jianjian Song2, Edward Wheeler2, James Drewniak1 1 Missouri University of Science and Technology
in power electronic based systems. Page 14.1269.1© American Society for Engineering Education, 2009 Three Practical and Effective RF and EMC Experiments for a Computer Engineering Course on Electromagnetics and EMC Keith Hoover1, Jianjian Song1, Edward Wheeler1, James Drewiniak2 1 Rose-Hulman Institute of Technology 2 Missouri University of Science and Technology AbstractThis paper presents three practical and effective electronic hardware experiments whichdemonstrate respectively (1) use of a common
of power thatthey can actually produce. A solar tracker will track the sun throughout the day and adjustthe angle of the solar panel to make the sun normal to the solar panels at all times. Theorientation of the solar panels may increase the efficiency of the conversion system from20% up to 50%. [1-3]. The sun tracking solar power system is a mechatronic system thatintegrates electrical and mechanical systems, and computer hardware and software.SYSTEM GENERAL DESCRIPTIONThe initial requirements for this project were as follows: „ 5 watt to 10 watt solar panel „ Design structure to support 15 lbs „ Design enclosure to protect electrical equipment
the casesbring us the following questions: (1) What makes engineering students cheat on their writing?(2) What types of plagiarisms are happened in engineering classroom? and (3) How doinstructors in engineering educate their students to prevent plagiarism? In order to answer thequestions in this paper, we investigate and discuss the plagiarism issues in engineering program.For the first step of this research, we investigate the types of plagiarism that frequently happen inengineering classes. Then, we select ‘plagiarism in writing’ for our further investigation amongvarious types of plagiarism, since this is the most frequent and serious one in engineeringclasses. The second step is to adapt an anti-plagiarism tool to the classes. Among
-going program of researchdesigned to better understand the major difficulties that students encounter as they learn todevelop and apply models to solve Statics problems. In the first phase of this research,1 morethan 300 students completed three inventories - math skills, spatial reasoning and statics concepts.The results from the inventories were used to identify clusters of students with commoncharacteristics, and therefore, presumably common deficiencies in their problem-solving inStatics. Students from each cluster were invited to participate in think-aloud problem-solvingsessions to identify the weaknesses in their problem-solving. Although the think-aloud analysesdid not reveal differences among the clusters of students, it did uncover
AC 2009-358: A MULTIDISCIPLINARY COLLABORATIVE MODEL PROJECTEMPHASIZING ELEMENTS FROM ELECTRICAL ENGINEERING,MECHANICAL ENGINEERING, AND SCIENCE MAJORSMaher Rizkalla, Indiana University-Purdue University, Indianapolis Page 14.66.1© American Society for Engineering Education, 2009A Multidisciplinary Collaborative Model Project Emphasizing Elements from Electrical Engineering, Mechanical Engineering, and Science Majors Matt Rubin1, Tyson Fish, Luke Thomas, Maher Rizkalla, and Hasan Akay2 Department of Electrical and Computer Engineering at IUPUI 1. Business Development Manager Indiana University
Evaluation of IEEE 802.15.4 for Use in Smart Home Medical CareAbstractThe IEEE 802.15.4 wireless standard has been identified as a potential candidate to be used insmart home medical care. This undergraduate research project evaluates the performance ofIEEE 802.15.4 under interference from other wireless devices that operate in the same frequencyband. Specifically, we focus on two very common wireless interfering systems in typical homeenvironments: IEEE 802.11 WLANs and microwave ovens. The measurement results give arough indication about the mutual interference of different systems and showcase the challengesof utilizing IEEE 802.15.4 for smart home medical applications.1. IntroductionRecently, there has been a growing interest in
processesto produce accurate computer models for graphic visualization and communication.One laboratory section of the course was the experimental group and had access to theremediation materials, including a workbook (Introduction to 3D Spatial Visualization: AnActive Approach [1]) and practice website (VIZ; developed at Penn State Erie, The BehrendCollege [2]). Other laboratory sections made up the control group and did not have access to theadditional materials. All students took the Purdue Spatial Visualization Test-Rotations, MentalCutting Test [3], and the Modified Lappan Spatial Visualization Test [4] before the visualizationmodules were taught. Students then took these same tests at the end of the visualizationmodules. The pre- and post
learning, teachers should continually check for understanding and provide studentswith thoughtful, timely, and precise feedback. Students need to know how well they are doingand are typically open to suggestions for improvement. Generally, the clearer and more specifican instructor can be with feedback, the better the results for students. Students also benefit frompeer reactions and should be encouraged to take responsibility for their own learning (i.e., taughtto self-evaluate). Providing accurate feedback and helping students to take charge of learningcan stimulate healthy minds.Active StrategiesTopics included in the “Active Learning” section include: 1) Focusing on Learning and NotTeaching; 2) Problem Based Learning; 3) Facilitating Group
population of 3,305.13 Purdue is located in West Lafayette, Indiana andhas an undergraduate enrollment of 31,186, as well as a graduate enrollment of 6,994.13Rowan, located in Glassboro, New Jersey, has an undergraduate enrollment of 8,430, anda graduate enrollment of 1,148.13 The number of active civil engineering faculty membersassociated with each of these academic institutions is indicated in Table 1.Table 1 Number of Total Number Licensed Number of Academic of Full-Time Professional Interviews Institution Faculty Engineers Performed
skills.The project described in this paper is the initial stage of the multi-year study in which we visitedten engineering programs and collected data which will inform the development of a nationalsurvey to be administered in the spring of 2010. Although the overall study is only in its secondyear, the data collected in the first year provide us with both a platform upon which to build thenational survey and cultural context which will inform analysis of the survey data. Page 14.189.3Hypothesis Figure 1: The Determinants of Ethical Development As shown in
, electronics, and medical devices just to name few. This wide-spread range of Page 14.351.2applications brings a major challenge to computer science: the need to collaborate with otherdisciplines to bring about software that is of benefit to all stakeholders and users. This sentimenthas been echoed by the leaders of the industry including Microsoft, the NSF, and the ACMsociety [1-5].One of the areas that find computer science necessary for its advancement is health care services.Computer systems in this area have been successfully used to help clinicians gather and processdata and then provide better patient care management. The University of Texas
products and services are increasingly being developed and delivered from various parts ofthe world, knowledge and application of standards have become even more crucial. Almost allworld trade is affected by standardization. Many businesses will not consider buying products orservices that do not meet applicable or common standards for performance, safety and quality.Concerns about sustainability also require products and processes developed according to globalstandards. The findings of a recent survey conducted in March-July 2008 by the Center forGlobal Standards Analysis indicated that “standards education is necessary and does have astrategic value” (1). Those surveyed represented 11 major standards organizations from theU.S.A., U.K., China and
many engineering programs have developeddesign courses and programs to better reflect the needs of society and the environment, perhapsone of the first academicians to note the interdependence among technical engineering skills, andthe arts and social sciences is Duke University Professor of Civil Engineering Henry Petroski.Although much of his work has addressed the role of failure in design, Petroski was one of thefirst to consider engineering an integrated discipline. In what many consider his seminal work,To Engineer is Human, Petroski refers to engineering practice as a human endeavor, a practice ofboth science and art, one that is “part of our human understanding and experience.”1 Petroski is particularly referring to working in
between theinteractions of the graphic signs, the phenomenon and the observer. The understanding of aconcept and its representation require the ability to triangulate between the science concept(motion), its representation (vector) and its referent (the phenomenon to which both the conceptand sign refer) (Figure 1)21. Page 14.656.3Figure 1. The linkages among observations, graphics, and concepts.The students’ ability to create graphic representations is a means of integrating, interpreting andconstructing knowledge that is meaningful22. Learners are building on prior ideas to formulatetheir own understanding of phenomenon23. Too often students are
behavior. Results from Flynn’s experiments revealed thatcomplex subjective responses to lighting are accurately measured and communicatedsystematically. Yet it should be noted that these experiments were conducted in full-scalemockup environments with various light settings that utilized combinations of overhead-downlighting and peripheral lighting systems (see Figure 1). Figure 1. The conference room mockup used in Flynn’s experiments4Flynn’s research became the basis for several similar experiments, such as those conducted byHawkes, Loe, and Rowlands5, Rowlands, Loe, McIntosh, and Mansfield6, and Loe, Mansfield,and Rowlands7, with some modification on the configuration of the brightness distributions andinterior settings. More recently
performance,… technology, or discipline(s), must be much more highlyintegrated than in the past” [1] Students partaking in the engineering exercise are forcedto confront concepts outside of their normal field of expertise in the short span of asemester and make decisions on a cost and design schedule.ENGAGING STUDENTS WITHIN THE ENGINEERING DESIGN PRINCIPLESStudents in the Spring 2008 Engineering Design course were given a written designproblem statement and presentations by two of the Aviation Sciences faculty in theirDepartment. Students were asked to design and build a deployable parachute system fora model aircraft. The initial meeting included a question and answer period wherestudent could ask key design questions to the faculty members playing
elective course titled“Introduction to Fiber Optics” which was first offered in Summer 2008. In this paper, a brief overview of fiber optic network is presented first, followed by detaileddescription of course objectives, outline, and assessment and future modifications.Overview of Optical Communication Network Today’s optical communication network carries a mixture of voice, video, and data signals.The distance that signals travel ranges from less than a mile to thousands of miles. To bettermanage different signals, optical communication network is classified into four sub-networks.They are undersea network, long-haul network, metropolitan network, and access network asillustrated in Figure 1. Undersea network crosses the ocean and
functionalities. Finally, students areasked to implement a design project using the provided tools.Table 1 lists the details of each class lecture as scheduled. Note that we introduced theexperiment in the middle of the semester, around the 6th week. As noted in the table, thefirst and second introductory lectures include a brief introduction to data acquisitionsystems and description of basic sensor technologies. In particular, we discuss theunderlying technologies in designing accelerometers and temperature sensors. Practicaltopics, such as analog-to-digital converters, sampling rate, and acquisition time were alsobriefly covered in these lectures. The third and forth lectures focused on introducing LabVIEW5 and its applications. Wecovered basic
university experience.Literature reviewMany studies have been done on information usage over several decades. As the technologieschange, the processes and patterns of information-seeking behavior change as well. Thesechanges have been reflected in recent literature on the topic. Brown provides a sketch ofinformation seeking behavior of scientists, and indicates that the “ultimate preferred source forinformation was … the printed journal article.”1 Hallmark presents a snapshot of academicresearchers and their information needs in one area, and proves that “…journal articles, whetherprinted or electronic, continue to be their ultimate textual resource.”2 Kwasitsu samplesengineers in information use and discovers a “significant relationship between
statistics monitored by the library reflect thistrend. In fact, all new journal subscriptions acquired since 2006 have been electronic format only.Having the print copy of a journal on site is no longer a requirement, therefore during the2005/06 and 2006/07 academic years, 4,652 bound journal volumes were sent to remote storageand 2,084 volumes of duplicate volumes were withdrawn since these titles were availableelectronically. It is expected that by July 1 2009, 2,000 more volumes will be sent to remotestorage or withdrawn.Table 1. The Engineering Library Collection in NumbersLibrary Collection 2001 2009Monographs (vols.) 74,700 71,000Bound periodicals (vols
the mechanical components of the assembly. This new course overcomes theissues discussed above.The following outcomes were developed to overcome the issues discussed above: 1. Students will visualize physical (electrical and mechanical) part (s) 2-D to 3-D and vice versa. 2. Students will incorporate design intent into solid models using extrusions, revolves, shells, ribs, chamfers and rounds. 3. Students will properly execute duplicating operations to create circular and linear patterns of features and mirrored features. 4. Students will use mathematical relations to drive solid models. 5. Students will create a detail drawing of a mechanical part. 6. Students will create 3D
Page 14.1171.3will be introduced as the starting point to build our design toolkit. Relevant interactiondesign guidelines that can be capitalized on to create potentially stimulating learningconditions are another critical component of our toolkit and hence will be described. Thefollowing section on the design framework will explain what specific items to pick fromthis toolkit for a certain design problem.Instructional designInstructional design is a systematic approach to instruction. A tenant of instructionaldesign principles is to “start with the end in mind”, or “backward design” as described byWiggins and McTighe1 (Figure 1). This tenant is analogous to purposeful task analysis.With instructional design, assessment of learning is designed
schooledwith enough depth of knowledge. IntroductionFunding, research activities, and autonomy help to make American institutions of highereducation prestigious. Furthermore, the United States leads the way in access to higher educationwith a rate of growth since 1947 that is three times faster that of the population.1 Given that theseinstitutions have resources along with large numbers of students to select from, you wouldexpect increasing numbers of college graduates. Yet there is evidence to the contrary. Foralthough the US is one of the leaders when it comes to college participation, it is in the bottomhalf of college completion.2 Some evidence suggests that graduation rates are declining becausethose