’ levels of persistence inengineering, and affirmed the importance of identifying these intentions and fostering the linkbetween intention and motivation for individual students 9. Further, a 2005 study providesevidence that students with certain conative strengths either preferentially self-select forengineering programs, or are more likely to persist in those programs. This suggests that studentswith alternative strengths may be discouraged somewhere along the way from pursuingengineering degrees 10. Incorporation of conation into the curriculum may improve retention inSTEM and persistence of diversity in conative strengths. Conative diversity extends to diversityin other areas and addresses the need to improve success in educating
Paper ID #8864Informal Peer-Peer Collaboration, Performance, and Retention for First SemesterEngineering StudentsNora Honken, University of Louisville Nora Honken holds degrees in industrial engineering from Virginia Tech and Arizona State University. She will receive a PHD in Education Leadership, Foundations and Human Development from the Uni- versity of Louisville in May 2014. She has held positions in engineering and management for Axxess Technologies, Varian, Amoco and Corning, and has taught in industry, at community college and at the graduate and undergraduate levels. Her research interests include
packaging sizes have been reduced to better suit thedemands for smaller components. SMT was developed by IBM and others in the 1960s and 1970s to reduce the size ofelectronic component packages and thereby reduce the size of devices designed with thosepackages1,2. These technologies have other advantages for both design engineers andmanufacturing engineers, including reduced package-related parasitics, with resultingimprovements in high-speed performance, and allowing high-speed assembly automation. In2002 worldwide production of integrated circuits (ICs) indicated that 86% of all ICs wereproduced in SMT packages. This number continues to rise, and leads to the conclusion that thebasic concepts of SMT, design of SMT-based products using DFM
engi-neering curricula. Major established methods for determining deflections of beams, as taught insuch a course, may include the following: 1-6 (a) Method of double integration (with or without the use of singularity functions), (b) Method of superposition, (c) Method using moment-area theorems, (d) Method using Castigliano’s theorem, and (e) Conjugate beam method.The conjugate beam method was first derived, defined, and propounded for determining de-flections of beams in 1921 by Westergaard.1 It may well be called a “Westergaard method.”Readers interested in the development of this method are advised to refer to the original paper byWestergaard.1 Additionally, note that this method is one of the established
Session 1532 Forty Years of Teaching Circuits I: A Tribute to Dr. Hayt R. William Graff LeTourneau UniversityAbstractThe author has had the experience of teaching Circuits I for forty years, using Dr. William H.Hayt’s book, Engineering Circuit Analysis, in all six of its editions. Certain teaching principleshave been developed to give consistency to the grading and teaching of the material, so thatsome trends in student performance can be traced over that time. Some of these trends arereflected in the paper, as well as comments concerning ways to communicate the
, and canonical signed digitrepresentation of coefficients.Intr oductionThe typical electrical and computer engineering curriculum includes courses in both digitalsignal processing and digital design, but treats the two subjects completely separately. Studentsin a digital signal processing (DSP) course learn various techniques, such as windowing and theequiripple Park-McClellan methods, for the design of finite and infinite impulse response (FIR,IIR) filters subject to specifications such as passband ripple, stopband attenuation andpassband/stopband edge frequencies. A typical DSP filter design project uses MATLAB,MathCAD, or C to create a floating-point design as the end product. The design is consideredhigh quality if it meets the frequency
of the design i.e. the greatestcarrying capacity per unit weight. Students' responses were overwhelmingly supportive of bothprojects. Students found the projects provided better understanding of the theory, 87% and 95%for the bridge and the steel column projects, respectively. Students also supported (95%) the ideaof making the projects a regular feature of the respective courses. Through these projects theauthor found strong evidence of students’ developing self-sufficient learning skills early in theengineering program. In addition to better comprehension of the material required to succeed inthe projects, students enhanced their library research, drafting and technical report writing skills.Based on the Bicycle Dissection Exercise, Regan
andprogramming approach. Legos were used to design the ant and then RoboLab software was usedto program it to successfully meet the challenge.IntroductionControl SystemsA control system is a collection of interconnected components that can be made to achieve adesired response in the face of external disturbances. The study of control systems is an integralcomponent of the engineering curriculum for the design and analysis of high performancerobotic systems. Control systems can be of two types: open-loop or closed-loop. In an open-loopsystem, the response of the system is determined only by the controlling inputs. On the otherhand, a closed-loop system operates on a self-regulatory mechanism by employing feedback tothe control system. Feedback can be of
. Once the assemblies are manufactured students runperformance tests on their “products” using statistical design of experiments (DOE) methodologyto evaluate the effects of two factors at two levels (2x2) and determine the setup giving the bestperformance. The project culminates in a written technical report, which the student teams presentorally to an audience of their peers and a panel of faculty and staff evaluators.Introduction BAE202 (Intro to BAE Methods) introduces basic design and problem solvingmethodology for Biological Engineering. The majority of the students are enrolled in theBiomedical Engineering curriculum with the remainder in Biological Engineering, which offersconcentration areas in bioprocessing, environmental, and
Software Engineering Curriculum are presented todemonstrate the impact of the approach on classroom instruction as well as on student learning.1. IntroductionThe methods typically employed by an instructor to solicit feedback on a regular basis regardingtheir own effectiveness or the students’ learning in a classroom setting include (i) Askingstudents if they have any questions (ii) Instructor’s reaction to student’s questions (iii)Monitoring the students’ body language and facial expressions and (iv) Reading home-works,tests, lab assignments and so on. Even though these techniques are a large part of an instructor’sdaily lives, collecting feedback in this way is a subconscious and implicit process. Thecandidness and quality of the feedback is
in Decline (College Station, Texas: Texas A&M Univer- sity Press, 1979), 54.12. A. Sanderson, V. C. Phua and D. Herda, The American Faculty Pole (Chicago, Illinois: National Opinion Re- search Center, 2000), 39. URL: http://www.norc.uchicago.edu/online/tiaa-fin.htm13. R. Eric Landrum, "Student Expectations of Grade Inflation," Journal of Research and Development in Educa- tion, Vol. 32, No. 2, 1999, 124-128.14. Stephanie Mc Spirit and Kirk E. Jones, "Grade Inflation Rates Among Different Ability Students, Controlling for Other Factors," Educational Policy Analysis Archives, Vol. 7, No. 30, September 1999, ISSN 1068-2341. URL: http://olam.ed.asu.edu/epaa/v7n30.html15. William Beaver, "Declining College Standards: It's Not
AC 2011-1722: USING FAMILIAR ANALOGIES TO TEACH FUNDAMEN-TAL CONCEPTS IN THERMO-FLUIDS COURSESAndrew L. Gerhart, Lawrence Technological University Andrew Gerhart, Ph.D. is an Associate Professor of Mechanical Engineering at Lawrence Technological University. He is actively involved in ASEE, the American Society of Mechanical Engineers, and the Engineering Society of Detroit. He serves as Faculty Advisor for the American Institute of Aeronautics and Astronautics Student Chapter at LTU, chair for the LTU Leadership Curriculum Committee, director of the LTU Thermal Science Laboratory, coordinator of the Certificate in Energy & Environmental Man- agement and Certificate/Minor in Aeronautical Engineering, and member
25.474.3 Advanced Placement Courses and Major SelectionThe Advanced Placement [AP] Program was created by the U.S. College Board in 1955 with themotto Connecting Students to College Success. The AP program aims to prepare students for anacademically demanding college experience. Advanced Placement is a curricular option foracademically superior high school students. “Naturally, courses offered in the program are moredemanding in terms of time and intellectual skills than corresponding courses in the regular highschool curriculum”.19 Initially, AP courses began as a program for elite private school students totake college-level course while still in high school. This way, outstanding students could begincollege with already
his M.S. from the State University of New York at Binghamton. He has 10 years of industrialexperience with IBM and The Johns Hopkins University Applied Physics Laboratory. His primaryinterests lie in the area of RF communications, and the development of curriculum concentration in this Page 6.195.14area within the school. Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for engineering EducationASH L. MILLERAsh Miller is currently an employee of Allied Aerospace Engineering, Inc. in the greater Washington, D.C.area working as an RF
ConferenceCooperative LearningWhile cooperative, sometimes referred to as collaborative or group, learning is related toteamwork, they are distinct from each other. Cooperative learning is where students worktogether in the pursuit of knowledge. It may be considered a subset of teamwork thatencompasses more than just learning. Gauvain (2018) also called cooperative learning “sociallearning” [17]. Cooperative problem solving (CPS) is gaining attention because of theincreasingly more complex problems in the modern world [18]. Cohen (1996) wrote of the manypotential benefits of cooperative learning including learning gains, development of higher-orderthinking, prosocial behavior, interracial acceptance, and improved management of academicheterogeneity in
test novel vehicle designs with the ultimate goal of competing on thenational and international level.The Solar Splash competition is comprised of various events providing unique challenges thattest each part of the vehicle’s construction and performance. These competitions allow MTSUstudents the opportunity to compete against top engineering schools from around the world.The Solar Boat project is an integral experiment in the professional development of MiddleTennessee State University (MTSU) students. These essential experimental vehicles projectsprovide a friendly environment in which S.T.E.M students to exercise their classroom knowledgein a real-world setting and learn essential leadership and team collaboration skills. The studentsare
analog optical communication link and a color organ. Our goal is to engage students inbuilding and hacking simple circuits that give immediate satisfaction, then use those circuits toillustrate a rule-of-thumb approach to the theory behind them. Our expectation is that, havingengaged the students in electronics, some of them will be motivated to enroll in more advancedcourses to learn how to use circuit theory to develop their circuit design skills.Rationale and GoalsThis subject was inspired by the recognition that high-school students with little formal trainingin electronic circuit theory can (and do) build fairly sophisticated electronic circuits1. They do sothrough simple models of how devices operate and rule-of-thumb design practices
Conference & Exposition Copyright © 2005, American Society for Engineering Education4). The similarity between the two oscilloscope panels is an intentional design feature. Studentshave no problem using the real front panel with hard buttons when they are used to the virtualone. Alternative panels for other oscilloscope models will be developed in the future.Figure 3. An oscilloscope virtual front panel displaying the slew rate of the uA741 operational amplifier in thecircuit on the breadboard illustrated in Figure 5.Figure 4. The oscilloscope used in traditional laboratories at BTH. Page 10.80.5
hands-on project that required knowledge previously unknown to them. With theirprofessor’s instructions and examples, the students gradually and effectively developed thenecessary knowledge for implementing their research. This new knowledge includes deeperunderstanding of SOLIDWORKS, ANSYS, MATLAB, and machining techniques, giving thestudents real-world skills that will be used in their future engineering endeavors.A particular example of the dynamic learning environment created by this project may be seen inthe expansion of the students’ knowledge of SOLIDWORKS. The honors students had alreadylearned the basics of the CAD program through a required course, but they did not have all of theknowledge they needed to design the airfoil and the
. Arebuzzwords unique to our profession, i.e., industrial engineering? Does a new buzzword inindustrial engineering fundamentally alter the content of what we teach or should teach inour courses? In this paper, we will first attempt to answer questions such as the ones posedabove. We believe that answering such questions and studying these issues cansignificantly benefit our community. Coming up with these answers may also help aninstructor uncertain of whether the use of buzzwords is appropriate in teaching. We willmake every attempt to develop an objective understanding of the numerous issuessurrounding this topic. In particular, we will characterize the roots and origins of severalbuzzwords that are being used or have been used in industrial
Engineering.Dr. Phillip Cornwell, U.S. Air Force Academy Phillip Cornwell is a Professor of Mechanical Engineering at the United States Air Force Academy and an Emeritus Professor of Mechanical Engineering at Rose-Hulman Institute of Technology. He received his Ph.D. from Princeton University in 1989, and his current interests include structural dynamics, structural health monitoring, and undergraduate engineering education. Dr. Cornwell received the SAE Ralph R. Teetor Educational Award in 1992, the Dean’s Outstanding Teacher Award at Rose-Hulman in 2000, and the Rose-Hulman Board of Trustees’ Outstanding Scholar Award in 2001. He was one of the developers of the Rose-Hulman Sophomore Engineering Curriculum and the Dynamics
the early stages of doctoral education [2], where the instructor bears soleresponsibility for helping students develop as scholars across disciplinary boundaries, includingguiding them to articulate their own scholarly perspectives within an increasingly complexacademic landscape [3].Generative Artificial Intellection (AI) systems offer intriguing possibilities for faculty teachingdoctoral students [4]. These AI systems can serve as an intellectual support for doctoraleducators who must simultaneously manage multiple roles: subject matter expert, researchmentor, writing coach, and methodological guide. AI's ability to assist with tasks like explainingcomplex concepts, suggesting different pedagogical approaches, or helping parse student
students’ experiences, as evidenced by most responses commenting onthe existing combined structure of the course. In our curriculum students are likely to have hadlecture classes with no lab session, but less likely to have had lab classes with no lecture. Theopen-ended text survey format also allowed for very general or ambiguous responses, whereas analternate format such as interviews could incorporate clarifying follow-up questions, at theexpense of anonymity.ConclusionsThe results of this study suggest learning, productivity, and collaboration as primary motivatorsfor attendance, that learning takes different forms depending on instructional methods, and thatstudents prefer a variety of instructional methods to reinforce information
for assessing the “complexity of … thought processes” [20]. Gernsbacher etal. [13] suggests timed exams as a form of assessment should be removed from the curriculum asthey found evidence that these are less valid, reliable, inclusive, and equitable.As mentioned in the Introduction, a large number of studies demonstrate gaps in educationaloutcomes among historically underrepresented groups [21, 22]. The process of analyzing studentdata with respect to educational outcomes by separating by student gender or ethnic group is calleddata disaggregation. If a subgroup of students attains an outcome at a rate substantially lower thanthe benchmark rate, that subgroup is referred to as disproportionately impacted. According to theCalifornia Community
Department of Computer Science at the University of Illinois at Urbana-Champaign. Silva is known for her teaching innovations and educational studies in large-scale assessments and collaborative learning. She has participated in two major overhauls of large courses in the College of Engineering: she played a key role in the re-structure of the three Me- chanics courses in the Mechanical Science and Engineering Department, and the creation of the new computational-based linear algebra course, which was fully launched in Summer 2021. Silva research fo- cuses on the use of web-tools for class collaborative activities, and on the development of online learning and assessment tools. Silva is passionate about teaching and
strengthen structures, analysis and testing for reinforced concrete frames under disproportionate collapse, and risk and reliability analysis of bridges and offshore structures. She is a registered professional engineer in Missouri.Fan Yu Fan Yu is a doctoral student at the School of Information Science and Learning Technologies at the University of Missouri-Columbia. She is originally from China. Fan received her MS in Elementary Education Science and a graduate certificate in Curriculum and Instructions in 2017. She worked as a K12 educational products developer for four years. Fan’s research interests include STEM education and UX design in learning technologies. She concerns about how learning technologies encourage
Engineering Education, 2022 Powered by www.slayte.com Are the Technological Tools used in Virtual and Hybrid Classrooms Still Useful in a Fully In-Person Setting? An Assessment of the Effectiveness of the Technological Tools in Enhancing the Pedagogy in the New NormalAbstractThe development and advancement of technology during the COVID-19 pandemic have been amajor contributor to the innovation in pedagogy. Teaching in virtual or hybrid classroomsbrought challenges as well as opportunities, particularly for classes with large studentenrollment. Many educators quickly learned to use the appropriate instructional technology to beable to not only teach in remote
of first-year engineering students. Results obtained are discussedand suggestions presented on the use of available information to improve a university selectionand admission system. Moreover, the uptake of these study results by higher educationinstitutions is encouraged to develop actions that may accompany and buttress academicperformance during the first year of university studies for students identified as being at risk.Keywords: engineering, admission process, standardized test, predictors, drop out.IntroductionThe academic performance of university students is a multidimensional problem that affects notonly young people who enter university. This undoubtedly affects their families, botheconomically and socially, as well as the higher
unchanged from the validated form. The surveywas administered at the start of the semester (within the first week of class) and at the end of thesemester (within the last week of class). The completion of this survey was entirely voluntaryand did not impact student grades in any way.Development of the Introductory Activity and Its AssessmentPrevious course iterations had included random prompts developed by the instructor prior toclass. To study the effects of the activity, the prompts were designed with intention for Spring2020.Prompts were compiled through a series of brainstorming sessions between two undergraduatestudent researchers who were not otherwise associated with the course or its material. Thecriteria determined for acceptable prompts
percent of students disagreed. Theactivity worksheets are used to inform pedagogy of data visualization. In this work, we describethe online-process, the worksheets, assignments and the ways in which faculty and studentsnavigate the pandemic inspired teaching and learning environment to support higher-orderthinking, and critical thinking skills, crucial to computing and engineering curriculums, amongundergraduates.IntroductionThe purpose of this research is to introduce data visualization in a manner that the encouragesparticipation and engagement in a hybrid learning environment, for students with little to nobackground or experience visualizing data. The approach described consists of three keyelements: 1) using a constructive learning