punishments thatare assigned when cheating is detected, perhaps further reinforcing student attitudes thatacademic honesty is unimportant and that firm standards do not exist.I. Amount of Academic DishonestyFour questions were used to understand the amount of homework copying, lab report copying,homework solution abuse, cheating on quizzes / exams, and overall student impression on thelevel of cheating in classes. In order to understand which students self-report behavior contraryto the academic integrity regulations stipulated in the undergraduate catalog, the studentresponses for each question were analyzed relative to major, gender, class, age, GPA, TOEFLscore, Intensive English Program (IEP) attendance, course load, and whether the student lives
provided the information being sought.Numerous drafts were written and revised. Page 11.138.3 3The first set of questions were developed by graduate students who had teaching experience andwere familiar with both science and technology standards. These students were taking a graduatelevel science education class on the subject of assessment taught by a faculty participating in thedevelopment of the survey. Students conducted a literature survey of journal articles availablevia the internet in order to locate possible questions and wrote new
research based learning methods. He was a participant in the NSF Virtual Communities of Practice (VCP) program in Spring, 2013, learning research based methods to instruct thermodynamics. More recently he introduced the concept of fabricating very low cost thermal fluid experiments using 3-D printing and vacuum forming at the National Academy of Engineering’s Frontiers of Engineering Education in October, 2013. He is presently a co PI on the NSF IUSE: Affordable Desktop Learning Modules to Facilitate Transformation in Undergraduate Engineering Classes, High School Recruitment and Retention.Mr. Fanhe Shamus Meng, Washington State University Mr. Fanhe Meng received his B.S in school of materials science and engineering in
working in the field. Many of the textbooks coveringbioengineering topics are outdated before they even arrive in bookstores and are rarely targetedtowards teaching introductory material1. In a report on the progress of bioengineering as anindependent field of study, Johnson2 explicitly states, “We have yet to develop texts and otherteaching materials in biological engineering.” Moreover, because of the scale, complexity, andinterdisciplinary nature of the study of most bioengineering phenomena, the development andimplementation of hands-on experiments can be both costly and challenging at the earlyundergraduate level.Though the growth of the internet has led to a general increase in web-based tools, those
AC 2011-997: ASSESSMENT OF STUDENT UNDERSTANDING IN PHYSICS:AN INTEGRATED QUALITATIVE AND QUANTITATIVE APPROACHTeresa L. Larkin, American University Teresa L. Larkin is an Associate Professor of Physics Education and Faculty Liaison to the Pre-engineering Program at American University. She received her Ph.D. in Curriculum and Instruction with emphasis in Physics and Science Education from Kansas State University. Dr. Larkin is involved with Physics Educa- tion Research (PER) and has published widely on topics related to the assessment of student learning in introductory physics and engineering courses. She has been an active member of the American Society for Engineering Education (ASEE) and the American
zhengpiw@bridgeport.edu Abstract— A reliable system is one of most important goal of behaviors. System event patterns in distributed systems maysystem engineers. However, system failure, software failure, not consist of the same machines, especially in virtualized dataoutside attacks, and mis-actions make the system unstable and centers. Events from different virtual machines may worksunreliable. Reducing the impact of system failure is possible if together to affect the reliability of systems, or may not affectaccurate failure predictions are provided. Resources, the entire system. Virtual machines generate system events,applications, and services can be scheduled around predicted
Science at East Carolina University. He received his Associate of Applied Science in Military Studies from Community College of the Air Force; his BS in Professional Aeronautics from Embry Riddle Aeronautical University; and his Masters of Business Management: from Wayland Baptist University. He is currently teaching Instructor in the Information and Computer Technology Program; he is also Internship coordinator, responsible for student placement and supervision. His has developed and instructed courses and labs in Network Technologies and Network Operating Systems and is a Lead Cisco Networking Academy Instructor. Address: College of Technology & Computer Science, 205 Science and
Program Director of Electrical Engineering and an Associate Professor at Milwaukee School of Engineering (MSOE). Formerly, he held engineering and managerial positions in the telecom- munications industry. He received his Ph.D. in Electrical Engineering from Marquette University in 1997 and is a Professional Engineer registered in the State of Wisconsin. Dr. Kelnhofer teaches courses in circuits, communication systems, signal processing, and information and coding theory.Dr. Owe G. Petersen, Milwaukee School of Engineering OWE PETERSEN is Professor Emeritus and former Department Chair of Electrical Engineering and Computer Science at Milwaukee School of Engineering (MSOE). He is a former Member of Technical Staff at AT
considered in context ofthe case studies include the impacts of academic imbalance, dominant personality, personalitycomposition, misaligned interests and disciplinary divergence (i.e., fault lines).Keywords: capstone design; team selection; multidisciplinary; project-based learning1. IntroductionABET mandates that engineering curricula prepare students for engineering practice through amajor culminating design experience utilizing the knowledge and skills acquired in earlier coursework and incorporating appropriate engineering standards and multiple realistic constraints [1].As a result, most engineering programs require students to take a capstone course. While thereare many variations of how a capstone course might be implemented, the typical
. Foutz, "Switching-Mode Power Supply Design," Internet Site: http://www.smpstech.com/tuto- rial/tO2top.htm, August 1999. 2. Mohan, Undeland, and Robbins, Power Electronics: Converters, Applications, and Design, New York: John Wiley & Sons, 1995. 3. M. Rashid, Power Electronics: Circuits, Devices, and Applications, Second Edition, New Jersey: Prentice Hall, 1993. 4. Y. Liu and P. C. Sen, “A Novel Method to Achieve Zero-Voltage Regulation in Buck Converter,” IEEE Trans. Power Electronics, Vol. 10, No. 3, pp. 171-180, May 1995 5. D. W. Hart, Introduction to Power
courses with service-learning components. The program has now spread to Notre Dame and Iowa State.9. Incorporate use of appropriate technology. Information technology holds greatpromise for enhancing the teaching and learning processes. If technology iscorrectly designed and implemented, it can promote active learning, address variouslearning styles of students, and be accessible to students either synchronously orasynchronously via the Internet or on portable media (Chen et. al., 1999).Technology has also been effectively used to provide quick feedback to studentsabout their daily homework and quizzes (Mehta & Schlect, 1998).10. Incorporate writing assignments. Brent and Felder (1992) indicate that writingassignments can be ideal vehicles to
researchers can observe whatis happening and ask questions as the participant interacts with the survey.However, it is important to keep in mind that think-alouds are not the only way to gain insightsinto participants’ thought processes and establish cognitive validity. One study in the healthdomain (measuring the effects of adult caregivers’ social capital on the different aspects of well-being of the children for which they provide care) performed a cognitive validation of theirinstrument using cognitive interviews as the verbal report method15. Thus, it depends on thenature of the instrument, its application, and the goals of a particular cognitive validation processas to exactly what type of verbal report method is most appropriate.There has been
, creativity, and innovation while still in college. However, as stated byDoboli et al7, relatively “few entrepreneurship programs” exist that primarily target computingstudents. They reported that entrepreneurship in engineering curricula comes in upper levelentrepreneurship engineering courses, certificate programs or minors in entrepreneurship, orintegrative programs, and that most of these models were not solely offered in engineeringschools. Most entrepreneurship “courses are targeted at business students”8.Compared to the few entrepreneurship education and training programs within engineeringschools for engineering students and others, fewer of these courses can be found in computingschools or specifically targeted to computing students, thereby
transformation technique. This technique is known as histogram matching. It isan automatic procedure in that it does not require any user control parameters for its applicationto an image.Because of the importance of histogram matching and its wide application potential, thissubtopic is included in almost all image-processing courses and textbooks1-9. It is however oneof the most difficult image processing techniques to fully understand and implement especiallyfor those encountering it for the first time (except, may be, when using a “canned function” toperform its operation). The reason for this difficulty is because, though an image in this regardhas nothing to do with probabilities and probability distributions as such in general, theformulation and
AC 2007-2210: PRACTICAL ENGLISH: TEACHING TECHNICALCOMMUNICATION ABROAD BASED ON A PREEXISTING TECHNICALWRITING COURSE IN MISSISSIPPI STATE UNIVERSITY'S BAGLEY COLLEGEOF ENGINEERINGAlexis Powe, Mississippi State University Alexis D. Powe is a technical writing instructor for the Mississippi State University Bagley College of Engineering’s Shackouls Technical Communication Program. She received her B.A. in English from Mississippi State University in 2002, graduating summa cum laude with a minor in history, and her M.A. in English from Louisiana State University in 2004. She is a member of the American Society for Engineering Education and the Modern Language Association. Address: P.O. Box
technology in the classroom. She is a co-PI on two NSF grants in the areas of integration of computation in engineering curricula and in developing comprehensive strategies to retain early engineering students. She is active nationally and internationally in engineering accreditation and is a Fellow of ABET.Robert Y. Ofoli, Michigan State University ROBERT Y. OFOLI is an associate professor in the Department of Chemical Engineering and Materi- als Science at Michigan State University. He has had a long interest in teaching innovations, and has used a variety of active learning protocols in his courses. His research interests include biosensors for biomedical applications, optical and electrochemical characterization of
in education, more robust internet connectivity, andadvances in peer-to-peer sharing software resulted in improved CMPR systems. Gehringer’sgroup at the University of North Carolina developed PG, “a portable, Web-based … systemwritten in Java. . . ” (p. F1B-3). 7 Of note, PG may well have been the first CMPR to include agrade adjustment algorithm that rewarded students for giving quality feedback.Other richly featured systems moved the CMPR paradigm forward. SWoRD (ScaffoldedWriting and Rewriting in the Disciplines), developed at the University of Pittsburgh by ChristianD. Schunn, added layers of mediation to the basic design and facilitated a richer e-assessmentand feedback analysis.11 Another system, SPARK (and SPARKPLUS) – developed at
diagnostic factors in the field of (virtual) learning and cooperation, human-machine interaction, change and innovation man- agement.Mr. Sebastian Reuter P.E., RWTH Aachen University Sebastian Reuter received a joint graduate degree (Dipl.-Wirt.-Ing.) in mechanical engineering and eco- nomics from RWTH Aachen University (Germany) in 2011. Between 2008-2009 he studied Automotive Engineering at Tsinghua University (China) where he received his M.Sc. in Automotive Engineering. He is currently working as a Ph.D. student at the Institute of Information Management in Mechanical Engi- neering at RWTH Aachen University. He is scholar of the German Research Foundation (DFG) in the Post-Graduate Research Program ”RampUp
performance of machine systems and components used in the product design. 3. Establish customer needs, design alternatives, evaluate alternative in a contextual sense, and select the most appropriate design alternative. 4. Design systems in a team environment where many disciplines are used and needed to complete the design. 5. Identify and develop multiple solutions to the posed open-ended problems. 6. Identify and respond properly to ethical problems and responsibilities. 7. Make effective presentations in front of technical- and marketing-type audiences. 8. Use library and Internet sources for the continued education and life-long learning needed to survive
management systems to: communicate schedules, assignments, and classroompolicies; share videos and articles; facilitate discussions, etc. “Online” is commonly used todescribe a course or program in which 80% or more of the content is delivered online [2].Therefore, the terms in-person and remote will be used in this work to describe the instructionalformat of a given class period. In-person indicates that student and instructor are in the samephysical classroom, and remote indicates that the student is not in the same physical space, butrather, has joined remotely via a video conferencing application. The focus of this study is onsynchronous instruction, so whether in-person or remote, the reader may assume that allactivities described in this paper
AC 2009-1783: THE IMPLEMENTATION OF AN ONLINE MATHEMATICSPLACEMENT EXAM AND ITS EFFECTS ON STUDENT SUCCESS INPRECALCULUS AND CALCULUSDoug Bullock, Boise State University Doug Bullock is Chair of Mathematics at Boise State University. His research interests include math education, quantum topology, quantum algebra and representation theory, with particular emphasis on applications to knot theory and the topology of 3-manifolds.Janet Callahan, Boise State University Janet M. Callahan is Associate Dean for Academic Affairs at the College of Engineering at Boise State University and Professor of Materials Science and Engineering Department. She received her Ph.D. in Materials Science, her M.S. in
, • Page 26.843.2 Refine their public speaking and technical communication skills.This paper discusses elements of the instructional module that establishes the H-O-H DesignChallenge as well as the methods associated with achievement of these pedagogical goals.BackgroundWithin the ocean engineering program at the U.S. Naval Academy, formal design instruction isintroduced in a fall-semester senior-level design course, EN461, which serves as a precursor to ourcapstone design course, EN462. The goal of the introductory course is to provide each studentwith a realistic understanding of the design process as it applies to the field of ocean engineering.Each step of the design process is illustrated through practical applications coupled with
has measured students’ perceptionsof their own engineering literacy. Our 2015 study in engineering literacy revealed that student perceptions of their ownknowledge, skills, and perceptions of the impact of engineers and ways of thinking and acting,were relatively stable across dimensions of gender, ethnicity, degree progress, and curricularfocus.4 The survey used for the study resulted in several conclusions, which acknowledged littleto no meaningful differences across these dimensions. The most significant conclusion drawn,though, was this absence of meaningful difference between students in engineering courses ofstudy and students in non-engineering programs. Despite these small differences, we believed that conversations with
engagement and data reliability with internet-based Q methodology: A cautionary tale,” Operant Subj., vol. 39, no. 3/4, pp. 46– 59, 2017.[45] C. Davis and C. Michelle, “Q methodology in audience research: Bridging the qualitative/quantitative ‘divide,’” Particip. J. Audience Recept. Stud., vol. 8, no. 2, pp. 559–593, 2011.[46] QMethod Software, “Q method software,” 2020. [Online]. Available: https://qmethodsoftware.com/.[47] F. Dziopa and K. Ahern, “A systematic literature review of the applications of Q- technique and its methodology,” Methodology, vol. 7, no. 2, pp. 39–55, 2011.[48] K. Gallagher and D. Porock, “The use of interviews in Q methodology,” Nurs. Res., vol. 59, no. 4, pp. 295–300, 2010
analysis of one of the most importantcomponents of a building: the roof. Commercial green roofs were the area of focus of a study (1)within the context of a “green” design course at IUPUI and this study forms the basis of this paper.Even though green roofs have found extensive applications in Europe, the concept and the techniquehas not made its way into the U.S.A. in a way to be noticed. Within the context of this paper a basictreatise is provided on “green roofs” in terms of what they are, the types, special properties, andconstruction details, both in text and visual terms. A comparison is then provided between EPDMroofs, white roofs, and green roof systems. This comparison entails comparing not only of usefullives, maintenance requirements
topics.Dr. Carol Haden, Magnolia Consulting, LLC Carol Haden is s Senior Evaluator with Magnolia Consulting, LLC. She holds a doctorate in Curriculum and Instruction with an emphasis on program evaluation from Northern Arizona University. Dr. Haden has extensive experience in the evaluation of formal STEM education projects across the K-20 spectrum and the evaluation of informal STEM Education and Public Outreach (E/PO) programs. She has designed and implemented evaluations of programs funded by the National Science Foundation, the William and Flora Hewlett Foundation, the Arizona Board of Regents, Goddard Space Flight Center, Jet Propulsion Laboratory and the Arizona Department of Education, among others. She has
-systems laboratory at UCCS had previously been owned andoperated by the ECE department, but a new MAE program in the college also needed similarfacilities.We concluded that a revived control-systems laboratory was essential, and we formulated twogoals: 1. Hands-on: The new lab should promote control-systems education with experimentation, requiring identification and control of physical device(s). The laboratory course should be designed to complement and synchronize with the lecture course in order to best reinforce concepts learned in class with hands-on experience. 2. Economy: As much as possible, space, money and student time should be economized. A multidisciplinary facility, shared between ECE and MAE classes would allow
Copyright c 2002, American Society for Engineering EducationThere is no guaranteed maximum latency between an interrupt and its service, which makesreal-time applications unpredictable.Other alternatives include QNX or VxWorks, commercial real-time operating systems. Thesehave been used for educational purposes before; an example is the QMotor program developedfor QNX.14 We decided not to use these systems due to the costs involved.The alternative we chose is Real-Time Linux, or RTLinux. Linux 15 is a free Unix-like operatingsystem for i386 (and family), Alpha and Sparc processors. By itself, Linux is not suitable forreal-time systems, but a free patch called RTLinux adds functionality to Linux to allow real-timecode to execute.16, 17 One paper has
creatively” and “ability to use the Internet, library, or othersources to research an issue” (which relates to information literacy).To provide institutional context, students have the option of matriculating directly into the civilengineering major. However, a number of students also transfer into civil engineering, eitherfrom an open engineering option in the first year or at other points in the curriculum. Thecurriculum requires that all students take a fundamental course in five sub-discipline areas ofcivil engineering, scheduled in fall of the junior year: introduction to construction engineering &management, fundamentals of environmental engineering, geotechnical engineering 1,hydraulics, and structural analysis. Students then select
any interested faculty to seek direct contact by email with any questions orrequests for materials, such as grading rubrics or reading guides.Introduction & BackgroundThe most recent survey of (primarily U.S.) chemical engineering programs in the “How WeTeach” series which focused on the Senior Design course took place in 2013 and revealed that: aplurality (46.8%) of respondents offered a single course (semester or quarter), a similarpercentage of lead instructors are full professors, most draw projects from a combination ofsources including industrial or faculty sponsorship and the AIChE design challenge, and a largeplurality use Turton, et al. for their textbook and Excel & Aspen Plus for software applications inthe course [1]. The