-9830.1998.tb00381.x.[4] C. M. Vogt, “Faculty as a Critical Juncture in Student Retention and Performance in Engineering Programs,” J. Eng. Educ., vol. 97, no. 1, pp. 27–36, Jan. 2008, doi: 10.1002/j.2168-9830.2008.tb00951.x.[5] X. Wang, “Why Students Choose STEM Majors,” Am. Educ. Res. J., vol. 50, no. 5, pp. 1081–1121, Oct. 2013, doi: 10.3102/0002831213488622.[6] N. F. Harun, K. M. Yusof, M. Z. Jamaludin, and S. A. H. S. Hassan, “Motivation in Problem-based Learning Implementation,” Procedia - Soc. Behav. Sci., vol. 56, pp. 233– 242, Oct. 2012, doi: 10.1016/j.sbspro.2012.09.650.[7] S. M. Malcom, “The Human Face of Engineering,” J. Eng. Educ., vol. 97, no. 3, pp. 237– 238, Jul. 2008, doi: 10.1002/j.2168
selection that utilized a measurement of a student’s adult mentor supportnetwork, reasoning that if the student had adequate circle of adult backers, then they were morethan likely to persevere and successfully complete higher education. The researchers earned an NSF S-STEM grant in 2016 to study the effects of mentornetwork connectedness on collegiate STEM field persistence. Students from low SESbackgrounds who had expressed an interest in STEM majors and were given admission intoexploratory studies were selected as the target pool of participants. These students have becomeknown colloquially as ‘Rising Scholars’ (RS) [7] [8]. Twenty-one admitted students wereselected through a process designed to quantize and measure the quality of a
learning, due to the rapid convergence of extant computing, chemical, wireless, andimaging industries towards PIC-enabled new functionalities. This convergence mandates a rapidlearning of PIC functions and automation design, by engineers who historically have trained inadjacent disciplines. The constellation of VR and GBL designed sims are intended, via a MOOCinterface, to rapidly acclimate these more veteran learners from the incumbent workforce, andprepare them for taking advanced PIC circuit design courses[27], overseen by some of thecollaborators on an advanced manufacturing workforce training MOOC platform[11].References[1] R. Kirchain, E.A. Moore, F.R. Field, S. Saini and G. Westerman, Preparing the AdvancedManufacturing Workforce: A Study
. Age ID Gender Role/Length of Experience/Training Site Range A1 50’s Female Library Media Specialist/17 years/Library Science Site 1 50s Female Engineering Teacher/12 years/Electronics, System Site 1 E1 Engineering, Education 30s Male Math, Engineering, CS Teacher/13 years/Math, Site 1 E2 Teaching, CS 40’s Male Math Teacher/3 years/Linguistic, English and Site 1 E3 Math 30s Female Director of Workforce Development and Social Site 2 A2 Enterprise/11 years/Visual
- questionnaires.TABLE 1: Multiple–choice results collected from questionnaires given before theworkshop. The results indicate the percent value for each answer.1. A car is moving along a horizontal highway in astraight line at a constant rate of 25 m/s. Itsacceleration is 47 [A][A] 9.8 m/s2 0 [B][B] 9.8 m/s. 41 [C] – correct answer[C] zero. 12 [D][D] 25 m/s.2. A ball is thrown straight upward. What is theacceleration of the ball at the highest point?[A] zero 53 [A][B] 9.8 m/s2 , upward 12 [B][C] 9.8 m/s2, downward
-basedapplication. Using Clearsighted, Inc.’s tools, an ITS was constructed that required nomodification to the original authoring tool. The resulting ITS provides immediate feedback in atutorial setting, offering help when requested and adaptive just-in-time messages, as well asnoting incorrect actions. All of this feedback, from the user’s point of view, seemingly comesfrom the authoring tool. A series of tutorials have been developed that will provide guidance tonew users as they develop online homework assignments. Evaluation of the system is done bycomparing authoring tasks performed by groups who learned to author without using theintegrated system to groups performing the same tasks with the ITS.IntroductionMost activities related to engineering
students and faculty in a variety ofscience and engineering fields. The paper focuses on engineering at colleges and universitiesbecause of the role which these institutions have in inspiring both women and men to chooseengineering as a field, and their potential to change the composition and size of the futureworkforce. Findings include that for fields dominated by men in the 1960s 1) those fields withthe highest (or lowest) proportions of women students in the 60’s still have the highest (orlowest) proportions of women students today, and 2) the proportion of women students is highlycorrelated with the proportion of women faculty in a field. This may suggest that increasing thenumber of women faculty may be a strategy for more rapidly attracting
StudyFigure 1 depicts a schematic of the simulated system. An object with mass, m, is locatedon a flat surface. One edge of the surface is lifted up to form an angle, α, with the ground.The static friction coefficient, µ s, is given. The purpose of this test is to determine theangle of inclination when the object starts the motion by using a digital simulation tool. m = 100 kg µ s = 0.6 Fw = mg α Figure 1. Object on inclined surfaceLMS.Imagine.Lab 7b is used to simulate the system6. In the mechanical library thereexists a component called “linear mass with 2 ports and friction”. The user
. Jargon Thermodynamic Meaning Term Adiabatic No heat transfer, Q = 0 Aergonic No work transport,iii W = 0 Isothermal Constant temperature, T = constant Isochoric Constant volume, V = constant Isobaric Constant pressure, p = constant Isenthalpic Constant enthalpy, h = constant Isentropic Constant entropy, s = constant Polytropic Many processes, or pvk = constant Enthalpy Internal energy plus the pressure
applied on a mass, M it accelerates and a displacement, x takes place tothe mass. Based on the Alembert’s principle a differential equation can be written for spring, massand damper as: Rigid surface +X X ( s) 1 -X (1) F(t) F ( s) Ms Ds K 2 Rigid surface Figure 2. Mass-Damping-Spring setup
retrieval from a T-s chart. Following the lecture, a group activity wasconducted to assess student comfort with paper-based property charts for property retrieval.When surveyed, student opinion was highly favorable towards the use of videos for instruction,review, and the visual approach. The direct outcome of the control and treatment activitiesshowed statistically significant advantage (p-value 0.038) of this approach. Students displayedadequate competence in solving water property problems using property charts. The results alsoshowed how the use of property charts reinforces the thermodynamic fundamentals, as opposedto the use of online databases or the steam tables. The implementation yielded a marked decreasein lecture time dedicated to
literature. In this work, students learn AM processes by comparinginexpensive 3D printers, three DLP (FlashForge Hunter, MoonRay S, and Phoenix Touch ProTranslating) and one FFF (MakerBot Replicator 2) 3D printer. These students’ explorations of new3D printing technologies exemplify “expansion,” the fifth stage of the students’ 3D printingexpertise evolution [33].Curricular ContextEven though 3D printers are used in many courses, the 3D printing lab/lecture modules areformally introduced in detail in a required one-semester, three credit-hours senior-level Computer-Integrated Manufacturing (CIM) course in two engineering programs: Bachelor of Science inEngineering with specialization in Mechatronics (BSE-Mechatronics) and Industrial Engineering(IE
logswas examined in terms of individual and collective contributions resulting in visualizations ofthe teams’ design processes across several metrics including: construction, optimization, andnumerical analysis.Preliminary results for this work-in-progress indicate that students mostly designed sequentiallyacross solarizable sites, with little concurrent activity. Optimization patterns vary between teamsand show some relation to teams’ final design(s) performance.IntroductionReal world engineering is typically a complex process requiring a high degree of collaboration.To prepare students for such an environment many faculty members embed team based designwork in their courses. In fact, engineering design and teamwork are both required components
history plus the Laplace Algorithm exercise.The optimization problem is now finding a node el ∈ F(ek ) such that the probability of passing Page 11.349.7the exam successfully is maximal for the given audience U . If we model the event of passing theexam as a random event S, we therefore need to maximize P(S|U ∩ Φl ): we need to maximize theprobability for S under the condition that the user is part of audience U and has visited the coursenodes in Φ followed by node el . Using Bayes’ formula12 , one finds P(Φl |U ∩ S)P(U ∩ S) maxargl P(S|Φl ∩U ) = maxargl
. Preliiminary han nds-on experiments on a macro-scaale memristtorTo exploore and choose the appropriate metals and the meetal reductioon (sulfiding)) methods, amacro-sccale prototyppe was fabriccated. Three metals and three sulfidiing methods were used ttofind an optimal material and method for micrro-scale mem mristor fabriication. The chemicalreductionn of metals with w sulfur was w also dem monstrated byy three technniques: direcct sulfur pow wdercontact, sulfur s vapor produced by y heating sullfur in furnaace, and wet chemical suulfur solutionnbath. Tabble 1 summaarizes
Session 1520 An Innovative Software Tool for Teaching Discrete Convolution from the Perspective of the Output Signal in Digital Signal Processing: Its Software Design and Implementation, and Usage in Teaching and Learning S. Easwaran Department of Computer Sciences and Computer Engineering Xavier University of LouisianaAbstractThis paper describes an approach and a novel software tool that was developed and used by theauthor of this paper to visually teach discrete convolution to students encountering it for
Session 3532 Developing a MATLAB-Based Control System Design and Analysis Tool for Enhanced Learning Environment in Control System Education Frank S. Cheng and Lin Zhao Industrial and Engineering Technology Department Central Michigan University Mount Pleasant, MI 48859AbstractThis paper presents the development of a MATLAB-based control system design and analysis(CSDA) tool for aiding engineering students to learn feedback control system theories anddesign techniques. As a result
(IFDP)in 2005 to train faculty to internationalize university‟s curricula. Second author represented theCollege of Engineering on the first cohort of IFDP which included 13 faculty from variouscolleges and co-authored cohort‟s report that included various recommendations tointernationalize curricula [1]. Second author initiated various activities, beginning in 2005,targeted at internationalizing the freshman engineering program (also called General Engineering(GE)). A major grant under the Department-Level Reform (DLR) program of the NationalScience Foundation facilitated implementation of various international activities into freshmanengineering program, particularly into a first semester engineering course “EngineeringExploration EngE1024” [2
Session 2793 Teaching Modern Control System Analysis and Design Robert H. Bishop, Richard C. Dorf The University of Texas at Austin / The University of California, DavisAbstractIn today s university classroom, the process by which classical and modern control theory istaught must address the issue of integrating the theory with pertinent design issues, includingmodeling, implementation, complexity, and cost. In this paper the authors discuss a controlsystem analysis and design approach adopted in their textbooks in which a series of stepsembodied in a block diagram is suggested to guide
Editor-in- Chief of Journal of Engineering Science & Technology. Professor Al-Atabi published two books, ”Think Like an Engineer” and ”Driving Performance” and he has numerous research publications, awards and honours. He is a Co-Founder of the Global Challenges Alliance, Fellow of the Institution of Mechanical Engineers (FIMechE) and a member of the Global Engineering Deans Council. Professor Al-Atabi is an innovative educator; he pioneered the CDIO (Conceive, Design, Implement, Operate) and delivered the first MOOC (Massive Open Online Course) in Malaysia. He trains executives from Multinational Corporations including banks and energy companies.Dr. David A. Delaine, Universidade de S˜ao Paulo and IFEES
do symbolic computations in much less time than when donemanually. For example, there is quite a bit of calculation involved in the decomposition of thefollowing rational function into partial fractions. s3 − s + 1 − 119 261 61 144 − 245 15 464 s − 13
University of Pennsylvania and his B.S. in Materials Science and Engineering from Purdue University. Page 23.1317.1 c American Society for Engineering Education, 2013 Using Heavy Metal Music to Promote Technological and Socio-cultural UnderstandingAbstractHeavy metal is one of the most misinterpreted musical genres in existence, while also arguablyone of the most intelligent, insightful and technologically-rich genres. Heavy metal‟s history hasfacilitated multiple engineering developments in its quest for extremity as well as containing awealth of commentary about
clustering result for the rest of the round. (see Figure1)Figure1. Cluster organization for sensor networks2.1 LEACH Protocol Routing in LEACH works in rounds and each round divides into two phases, the Setup phase and theSteady State; each sensor know when each round starts using synchronized clock. Initially, each sensor decides if it will be a CH or not based desired percentage of the CHs for thenetwork and the number of times the sensor has been a CH (to control the energy consumption), thisdecision is made by the sensor s choosing a random number between Zero and One. Then it calculates thethreshold for s T(s), then compare the random number with result T(s); if the number is less than T(s), sbecomes CH for the current round. T(s) for x
Synchronization." pp. 1133-1138. [3] L. Hongjuan, and L. Yuqing, "A Design of Trusted Operating System Based on Linux." pp. 4598-4601. [4] G. Martinovic, J. Balen, and S. Rimac-Drlje, "Impact of the host operating systems on virtual machine performance." pp. 613-618.[5] H. K.-H. So, and R. W. Brodersen, "Improving usability of FPGA-based [29] H.-Y. Zhou, and K.-m. Hou, "LIMOS: A lightweight multi-threading reconfigurable computers through operating system
. Wereceived both positive and negative team stories from the participants. In addition, we found itwas not only the engineering classes, clubs, and teams that seemed to affect the sense ofbelonging, but also where the participants lived. Our preliminary results indicate that students’making experiences, especially in the context of project teams, influence how they feel asengineers. We will continue to explore these themes into the second year of our project.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2204738. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National
using ERPs.2. The experiment2.1 Designing the current studyThis study was designed based on Kröger et al.'s 2013 [13] study in conjunction with Goucher-Lambert et al.'s [15] study. Kröger et al. [13] investigated conceptual expansion, which theydefined as the ability to broaden the bounds of a semantic concept beyond its typicalcharacteristics. They used the modified AUT task, in which participants were asked to judge thenovelty and appropriateness of an alternative "use" or "function" for an object. In their research,they found that the N400 component modulated depending on whether the stimulus wasperceived as common (low novelty, high appropriateness), creative (high novelty, highappropriateness), or nonsense (high novelty, low
would like to thank Dr. David Schmidtke, Dr. Gu Kang, and Chunya Wu fortheir help in developing the “Biomedical Engineering Fundamentals and Design” course. 3 AppendixTable A1: Example Course Schedule. The course was divided into 3 primary sections: DesignLectures (Blue), Training Modules (Green), and Project Build Time (Orange) Week Lecture Topic(s) Labs 1 Syllabus Overview, Intro to Design 2 Problem Statements and Stakeholders 3 Requirements 4 Conceptual Design and Down-selection 5
, and recognition programs where womenfeel valued and respected.References[1] D. J. Nelson and D. C. Rogers, A national analysis of diversity in science and engineering faculties at research universities. Citeseer, 2003.[2] J. DeAro, S. Bird, and S. Mitchell Ryan, “NSF ADVANCE and gender equity.,” Equal. Divers. Incl., vol. 38, no. 2, pp. 131–139, Mar. 2019.[3] K. P. Constant, “ISU ADVANCE - Sustaining and institutionalizing efforts to enhance recruitment, retention and advancement of women faculty in engineering,” in 118th ASEE Annual Conference and Exposition, 2011.[4] S.-N. C. Liu, S. E. V. Brown, and I. E. Sabat, “Patching the ‘leaky pipeline’: Interventions for women of color faculty in STEM academia,” Arch. Sci
Study,” Journal of Engineering Education, vol. 86, 01/01 1997, doi: 10.1002/j.2168-9830.1997.tb00259.x.[2] A. C. Strenta, R. Elliott, R. Adair, M. Matier, and J. Scott, “Choosing and Leaving Science in Highly Selective Institutions,” Research in Higher Education, vol. 35, no. 5, pp. 513-547, 1994. [Online]. Available: http://www.jstor.org/stable/40196139.[3] E. Simpson, D. Bradley, and J. O’Keeffe, “Failure is an option: an innovative engineering curriculum,” International Journal of Building Pathology and Adaptation, vol. 36, 05/10 2018, doi: 10.1108/IJBPA-10-2017-0046.[4] R. D. Augustine and M. S. U. C. o. Engineering, Persistence and Attrition of Engineering Students: A Study of Freshman and Sophomore
enablethe realization of successful software systems" [1] and has recently been standardized by the IEEE. Inthis WIP article, we will discuss the justification for including DevOps within a Software EngineeringProgram, discuss the challenges that this methodology places upon an instructor to teach, ideas forincorporating this material into the program, and how this can be extended to address the inclusion ofsecurity through a discussion of DevSecOps.IntroductionThe discipline of software engineering is generally attributed to the 1960’s, with the specifics of theterminology either coming from Margaret Hamilton and her work with NASA [2] or the 1968 NATOConference on Software Engineering [3]. Since then, the discipline has grown and evolved