’ are engineers who will be able to prosper in the workplace of thetwenty-first century. We all agree that many changes took place in the workplace duringthe 1990's which are certain to continue. In order to produce graduate engineers with theappropriate skills for this new environment it is necessary to change the process by whichthey are trained. The conference presentation will include a discussion of the factorsaffecting curriculum development, a program overview, and also address departmentalissues pertaining to the process of curriculum re-structuring.The PreliminariesDramatic changes took place in the workplace during the 1990's which have affected theway engineering is practiced, and they will continue as we enter the new millennium
leaving the laborforce will add more than 68,000 new positions for civil engineers by the year 2005, according toa recent forecast of employment trends 1. Attracting talented high school graduates and impartingthe best possible civil and construction engineering education is critical to the future of the U.S.construction industry.In the early 1980’s the construction industry faced increased national and internationalcompetition, stringent governmental regulations, and an environmentally conscious populace.The industry also encountered issues such as organized labor, challenges of new technologiesand new materials, and construction of complex projects. These forces emphasized the value ofstrong engineering and management skills required for
. Preference for Taking Data. Whether a person pays great attention to detailed data, or prefers to make giant leaps, connecting “sketchy” dots to obtain a picture, he/she is typed as a Sensing (S) or Intuitive (N) type, respectively.3. Preference for Making Decisions. If a person decides based upon “cold hard facts”, or if decisions are based upon empathy for others, he/she is typed as Thinking (T) or Feeling, (F) respectively.4. Preference for Taking Data or Making Decisions. Whether one enjoys taking data and leaving options open for creativity, or making decisions rapidly and getting many things done, determines the Perceptive (P) or Judging (J) dimension.The above four categories, each with two choices, provide 16 combinations of
constant temperature. A plunger drives the Page 3.522.1sample material through a slit capillary at either constant or programmed flow rate. When usingslit capillaries, one can measure the pressure difference directly in the capillary. Viscosity ismeasured in terms of the pressure difference at certain shear rate. Capillary rheometry has found its main area of application in the measurement of polymermelt viscosities at shear rates below 1000 s -1 and at temperatures up to 500 oC 4. There are manyadvantages in using capillary rheometers. These include the relative ease of filling, the ability tochange temperatures and shear rates readily, the
efforts to create inclusive classrooms and programming.Dr. Melissa M. Bilec, University of Pittsburgh Dr. Bilec is an associate professor in the Swanson School of Engineeringˆa C™s Department of Civil and Environmental Engineering. Dr. Bilecˆa C™s research program focuses on the built environment, life cycle assessment, sustainable healthcare, and energy im ©American Society for Engineering Education, 2024 A Collaborative Virtual Air Quality Learning Experience with Kakenya’s Dream (Resource Exchange, Diversity) The curriculum we developed for this collaborative project focused on introducing thestudents and instructors to the importance of air quality (AQ), its impacts on
integrating and applying this information cohesively for a specific task. This limitation is evident in Steps 8 and 9 of ChatGPT’s solution, which redundantly recapitulate prior results, ultimately culminating in Step 10’s provision of a wholly incorrect conclusion—a mere !"# *, - $% repetition of information from Step 5 𝑎 = *' . It is evident that ChatGPT failed to resolve this problem, yielding a result that appears far- )./ fetched, with 𝑎& incorrectly equated to
versus that have not. Therefore, this research compares taxi-outand taxi-in times across three hub classifications (S/M/L) and ASDE-X implementation(Yes/No). This study aims to answer the following research question: What are the effects ofimplementing ASDE-X at – Small, Medium, and Large hub airports on the taxi-in and taxi-outtimes at these airports?Accordingly, the following hypotheses are tested in this paper: Ho: Taxi-out (or taxi-in) times are the same at Small hub (or Medium hub or Large hub) airports with ASDE-X as those without ASDE-X. Ha: Taxi-out (or taxi-in) times are different at Small hub (or Medium hub or Large hub) airports with ASDE-X as those without ASDE-X.METHODOLOGYTo answer the research question
InformationPseudonym Racial Gender Disability(s) Engineering Major Year-in-School International Identity Identity Student (Y/N)Susan White Woman Multiple physical disabilities Mechanical Third-year NLucy Black Woman Cognitive, learning Civil Third-year YAria White Woman Cognitive Industrial Ph.D. NClaire White Woman Cognitive, learning, physical Computer Science Fourth-year N Co-researcher Recruitment and Data Collection This
. decontextualized. Energy is a showcase the number of topic that can be difficult to projects in operation on campus. connect from conceptual to contextual.These main takeaways from our community stakeholder research will inform the design of thisnew course. We offer this paper as a way to provide a different example of curricular design, onethat pushes against the siloed nature of universities through local and interconnected examples ofcampus activity and documents a labor process that often is undervalued in reimaginingengineering curricula.References[1] G. D. Hoople, D. A. Chen, S. M. Lord, Gelles, L. A., F. Bilow, J. A. Mejia. “An Integrated Approach to Energy Education in Engineering,” Sustainability
anticipates testing these advancements in future endeavorsthrough a subsequent research study.5. References[1] J. H. Mathewson, “Visual-Spatial Thinking: An Aspect of Science Overlooked by Educators,” Sci. Educ., vol. 83, no. 1, pp. 1098–237, 1999, doi: 10.1002/(SICI)1098- 237X(199901)83:1.[2] G. Duffy, S. Sorby, and B. Bowe, “An investigation of the role of spatial ability in representing and solving word problems among engineering students,” J. Eng. Educ., vol. 109, no. 3, pp. 424–442, Jul. 2020, doi: 10.1002/JEE.20349.[3] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cogn. Sci., vol. 31, no. 4, pp. 549–579, Jul. 2007, doi: 10.1080/15326900701399897.[4
PIECES: AN INFORMAL FRAMEWORK TO ENCOURAGE MULTIFACETED ENGAGEMENT a b c d a. Aerospace Engineering Department. CU Boulder J. Rush Leeker, L. MacDonald, S. Roudbari, L. Ruane, M. Palomar b. Global Engineering, CU Boulder c. Architecture, Sustainable Planning &
Education, 2024 PALAR IN PIECES: AN INFORMAL FRAMEWORK TO ENCOURAGE MULTIFACETED ENGAGEMENT J. Rush Leeker, L. MacDonald, S. Roudbari, L. Ruane, M. Palomar INTRODUCTION PROJECT DESCRIPTION 2 Action Learning (AL): METHODOLOGY Centers on a 'learning by
checkpoints were met with time to spare. Student 16 indicatesthat they advocated for splitting the workload, which likely means that some of their earlycommunications to student 115 would have made suggestions as to splitting up tasks. However,student 115 wrote that they felt the splitting of the workload was not as balanced as they wouldhave liked. From these entries, it seems that student 16 may have delegated tasks or aspects ofthe project to student 115, which could have included the template selection. This would suggestthat student 16’s experience in project #2 may have led them to select the same template inproject #3. Indeed, in project #1, student 16 worked in the group of three, which also selected theWord template. The team reflections for
to help practitioners navigate their careers, help practitioners betterunderstand their students and colleagues, and help administrators/mentors develop an asset-basedand systemic-based understanding of neurodivergence.References[1] H. B. Rosqvist, N. Chown, and A. Stenning, Neurodiversity Studies: A New Critical Paradigm. Taylor & Francis Group, 2020.[2] A. Cuellar, B. Webster, S. Solanki, C. Spence, and M. A. Tsugawa, “Examination of Ableist Educational Systems and Structures that Limit Access to Engineering Education through Narratives,” presented at the 2022 ASEE Annual Conference & Exposition, American Society for Engineering Education, 2022.[3] T. Sorg, “Where are We, and Where to Next? ‘Neurodiversity’ in
Teachers Association (NSTA), 2016. https://ngss.nsta.org/About.aspx (accessed Aug. 12, 2023).[2] Next Generation Science Standards Lead States, Next generation science standards: For states, by states. Washington DC: The National Academies Press, 2013.[3] W. Aminger et al., “Preservice secondary science teachers’ implementation of an NGSS practice: Using mathematics and computational thinking,” J. Sci. Teacher Educ., vol. 32, no. 2, pp. 188–209, Feb. 2021.[4] R. S. N. Lindberg, T. H. Laine, and L. Haaranen, “Gamifying programming education in K‐ 12: A review of programming curricula in seven countries and programming games,” Br. J. Educ. Technol., vol. 50, no. 4, pp. 1979–1995, Jul. 2019.[5] Bureau of Labor Statistics, U.S
Significance of Scholarship Programs in STEMIntroductionIn this Work-in-Progress paper, we share our ongoing work with an NSF Scholarships in STEM(S-STEM) program related to an iteration of analysis that looked across specific aspects in amore summative manner than our typical analyses during the five years of the project that aremore formative. As the project will soon enter an extension into a sixth year to use existingscholarship funds, we took this opportunity to begin to reflect on overarching goals toward thedevelopment and submission of a new S-STEM proposal to continue this work. The StudentPathways in Engineering and Computing for Transfers (SPECTRA) program in the ClemsonUniversity College of Computing, Engineering
/toolkit. Ourgroup and the various tasks each sub-group performs have been described in our past ASEEconference papers11-13.Some of the exercises we have developed and now assign to students every semester are listed inTable 1 below: TOPIC PROBLEM(S)Moment in 2D, Free-body Diagram SeesawEquilibrium of 1 rigid body or Frame Arm & PurseTruss: Method of Joint & Method of Section Minneapolis BridgeDistrib. Load, Centroid New Orleans Levee, Space StationFrame KeyboardCombined Frame & Truss BicycleFriction
., Yarbrough, D., Rothmyer, A., Rajagopalan, G., Otta, S., Caughey, D., Bhaskaran, R., Smith, S., Hutching B., and Moeykens, S., “Development of Hands-On CFD Educational Interface for Undergraduate Engineering Courses and Laboratories”, ASEE, AC 2004-1526, 2004.11. Blekhman, D., “Lessons Learned in Adopting a CFD Package”, ASEE, AC 2007-830, 2007.12. LaRoche, R., Hutchings, B., and Muralikrishnan, R., “FlowLab: Computational Fluid Dynamics (CFD) Framework for Undergraduate Education” , ASEE, AC 2002-1520, 2002.13. Ormiston, S., “Incorporating CFD into the Undergraduate Mechanical Engineering Programm at the University of Manitoba”, Proceedings of the Ninth Annual Conference of the CFD Society of Canada: CFD2001, pp. 333
Termination Board MSTB 010 06 C1Z Micro-controller GND Error amplifier Control Signal Feedback Network PS2520G + VIN Programmable Power R S l C2 RL1 C1 L1
school system‟s ability to involvestudents as well as individual teachers‟ ability to meaningfully involve students in different kinds ofclassroom learning opportunities.”5Several key questions guided the research such as: (1) What content makes a successful online learningenvironment for students? (2) What can institutions do to better impact student engagement in thesesystems? (3) And what types of tools do students really desire in these systems?MethodsData collection was first conducted via an electronic student survey of undergraduate students in theSchool of E & T at IUPUI. The survey was a voluntary activity and available for student participationfor exactly three weeks. A participation rate of 17.2% was recorded from all 2,418
sin 𝜔1 𝑡 + 𝜔2 𝑡 + 𝜙𝑖𝑛 𝑡 + 𝜙𝑉𝐶𝑂 (𝑡) 2 (Eq. 3)Where, Vin(t) is the input signal Ain is the amplitude of Vin(t) 1 is the radian frequency of Vin(t) (rad/s) in(t) is the phase angle of the input signal (rad) Vvco(t) is the VCO signal Avco is the amplitude of Vvco(t) 2 is the radian frequency of Vvco(t) (rad/s) vco(t) is the phase angle of the VCO (rad) VPD(t) is the output signal of the phase detector KPD is a multiplier in the phase detectorSignal Vin(t) is represented by a sine function and Vvco(t) is represented by a cosine
opportunity toupgrade the college facilities.Stanford‟s d-school, short for „Design School‟ has been a leader in quick prototyping and hands-on activities dedicated to merging engineering, arts, and business. The d-school K-12 projectincludes projects that facilitate teacher workshops and classes for non-profits. In addition, theschool provides a unique space dedicated to K-12 innovation19.In recent years more emphasis has been placed on hands-on and project-based learning9, 10, 11, 12, Page 22.1201.321 ; however, this approach has not yet reached a tipping point in most school systems. Onereason for the shift is that kids are not acquiring
a strong programming capability. The benefits of such a laboratory course are twofold.Firstly, students learn simulation, which is widely used by engineers in the industry to verify andvalidate system designs. Secondly, these laboratory projects have been designed following theGagne‟s nine events of instruction15 which leads to an enhanced learning environment. Also,when compared to hardware based labs, such as with EMONA TIMS16, Mobile Studio17 andEttus USRP18, Simulink has the advantage of lower cost and ease of maintenance.Simulink Laboratory Projects for Communication Systems CourseSix Simulink laboratory projects are constructed to teach Simulink skills in parallel with thetheory. Table 1 enumerates topics covered in the six labs and
this page, I rasterized the pdf lab exercise to 300 dpi (unfortunately, Word does not retain eps or pdf; use Adobe Pagemaker instead of Word if you are able) and placed it, generated ps and made a pdf document. Using Exchange, I made the links and was done.ACKNOWLEDGEMENTSThe author would like to thank Dr. S. Hossein Mousavinezhad, WMU Chairman of Electrical andComputer Engineering Department for his help and encouragement.REF E R E N C E S[1]. “The Practical Xilinx Designer Lab Book”, by Dave Van den Bout, Prentice Hall, 1998.[2]. “Publishing Via PDF”, Special Pull-out, Computer Arts
. Figures 3and 4 show the basic components provided by Fischertechnik and a constructed scale model of acargo crane.3.0 AS/RS Model DesignThe development of an AS/RS model can be divided into three stages: planning, preliminarydesign/testing, and final design/evaluation.3.1 PlanningIn the planning stage of this study, the scope and scale of the problem were investigated. Inaddition, a preliminary study of the problem was conducted. A typical AS/RS system consists ofthe following components: storage structure, storage/retrieval (S/R) machine, storage modules(e.g., pallets for unit loads), and pickup-and-deposit stations. The primary issue was to whatdegree the AS/RS model should mimic the real system. After careful consideration, the
turned out to be a problem. These engineeringeducators are a bunch of travellin’ dudes--getting all of them together in the same place at thesame time is impossible! First, Chuck Roth will fill you in on the Personalized System of Instruction, or PSI, aself-paced system of instruction best known as the Keller Plan. Fred S. Keller developed thismethod in the 1960s in Brazil, and he and Gil Sherman refined it later at Arizona StateUniversity. Billy Koen at the University of Texas first applied it to engineering education in1969, and his success encouraged Larry Hoberock, Chuck Roth and Gerry Wagner to use themethod in their classes. Later, the Alfred P. Sloan Foundation provided a sizable grant toexpand this activity, and ultimately, 19 PSI
resulting from the explosion of the global economy in more recentyears. The need to educate engineers that are technically strong and can face the challenges of aglobal economy is a common theme in engineering education.8 Engineers and technologypractitioners create and disseminate the knowledge required to fuel the engine of the globalknowledge economy. Engineering education has an important role to play in sustainablyreducing poverty and enhancing the world´s economies. The resulting enhancement in thequality of life serves to promote stability and peace throughout the world3. Latin America andthe Caribbean have lagged compared to other parts of the world such as Asia and India in the
. • Extensible – MAME shall provide a capability to add new functions. • Traceable – Everything in MAME shall be recorded and tracked. (This enhances reliability). • User friendly – MAME shall be able to provide default items (such as pre-defined work lists) so that MAMs can easily tailor the items according to the projects. • Maintainability – Easy to fix bugs, update to new versions and different platformsMAME’s major features are discussed below: Create Role ModelMAME has two kind s of users: Administrators and Users. Users are organized according to pre-defined role model. This model will be used to control: Approval, Permission. The pre-definedrole model shall be editable.Administrator can add new roles, and new
decisions.Bibliography1 Imbrie, P. K., Lin, J. & Reid, K. Comparison of Four Methodologies for Modeling Student Retention in Engineering. American Society for Engineering Education Annual Conference & Exposition. (2010).2 Imbrie, P. K., Lin, J. & Malyscheff, A. Artificial Intelligence Methods to Forecast Engineering Students’ Retention based on Cognitive and Non-cognitive Factors. American Society for Engineering Education Annual Conference & Exposition.(2008).3 French, B. F., Immekus, J. C. & Oakes, W. An Examination of Indicators of Engineering Students' Success and Persistence. Journal of Engineering Education (2005).4 Nicholls, G. M., Wolfe, H., Mary, B.-S., Shuman, L. J. & Larpkiattaworn, S
outperformed by 16other industrialized nations in science, and by 23 nations in mathematics (only 30 nationsparticipated). Narrowing the curriculum is not advancing the U.S.’s educational system and isinadequately preparing students to compete in a 21st century world.Lateral TransferRather than reduce the curricula, research indicates that systematically pairing specific subjectsmay improve both learning and motivation. For example, research consistently demonstrates astrong correlation between second language (L2) learning and increased first language ability onstandardized achievement tests. L2 learners have greater: syntactic awareness (Bialystock, 1988,Galambos & Goldin-Meadow); phonological awareness (Bruck & Genesse, 1995; Campbell &