recognition, machine learning, and engineering education. c American Society for Engineering Education, 2018 Scholarship Program Initiative via Recruitment, Innovation, and Transformation (SPIRIT): S-STEM Program Initiatives and Early ResultsThis paper describes the structure, project initiatives, and early results of the NSF S-STEMfunded SPIRIT: Scholarship Program Initiative via Recruitment, Innovation, and Transformationprogram at Western Carolina University (WCU). SPIRIT is a scholarship program focused onbuilding an interdisciplinary engineering learning community involved in extensive peer andfaculty mentoring, vertically-integrated Project Based Learning (PBL), and
used to minimizecomputational time and encourage solution convergence. Due to the complicatedgeometry, an unstructured mesh was used in the bifurcation region including the carotidsinus. Figure 6 shows the meshed model geometry for a healthy artery with no stenosisand an artery suffering stenosis of 80% NASCET. Figure 6. Meshed bifurcation models for a carotid with no stenosis and a carotid simulating 80% stenosis according to NASCET.Flow ConditionsThe blood flow is assumed to be incompressible and Newtonian with properties fordynamic viscosity of 0.0035 Pa*s and a mass density of 1060 (kg/m3) 4. The blood flowis pulsatile in nature and is modeled using a transient flow scheme. Although
no two students arelikely to receive the exact same problem decreases the odds of cheating or copying answers fromother students, both of which are widespread issues when assigning problems from the textbook.There are online homework systems, such as WebAssign, which are tailored to individualtextbooks, but they typically utilize the same homework problems as in the textbook andeqpugswgpvn{"fqpÓv"thwart cheating or the problems associated with easy access to completesolutions manuals.One aspect of teaching that WeBWorK can change radically is the meaning of Ðoffice hoursÑ.WeBWorK allows students to e-mail their instructor and/or other designated person(s) frominside a particular problem in their WeBWorK assignment. The instructor (and/or
worked to create but had fun at the same time: “Playing with Legos (is my favorite 15part), because I get to create things. I love creating things.” This seventh grade participantrecognized the need to use their brain to be innovative: “I feel like not just to be smart, but to behealthy, to be strong [sic]. It isn’t all about the brains. Most of it’s the brains, otherwise who’dcome up with NASA and stuff like that.” An eighth grade participant reported, “I was already thinking about it (a STEM career) butI think it made me for sure that I want to be an engineer later on [sic].” The participant enjoyedthe rocket launch experiment, as (s)he reports, “I think it was just really fun to
displays “Welcome to Java”p u b l i c c l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ; }}After applying the above transforms in program 5 and shuffling the valid and invalid line ofcodes, we get the following Parsons puzzle. System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) } }p u b l i c C l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) {p u b l i c c l a s s Welcome { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ;p u b l i c s t a t i c c h a r main ( S t r i n g [ ] a r g s ) {Similarly, P P2 is mapped into a different Parsons puzzle, using the same mapping process
each other out. The final speed of the rocket is found by dividing the total momentum forthe exhaust or the opposite rocket momentum by the mass of the rocket. This simple explanationignores gravity and air resistance. In this project, many model rockets were launched, and thestudents clearly observed that expelled gases push against something (the launch pad) only duringthe brief ignition and lift-off moment. In Figure 12, model rocket ZE-1’s flight trajectory showsthe rocket thrusting without having to push against anything for up to 53 meters.Energy Source for Propulsion for Model Rocket Engines The The Chemical Side Physical
wood pellet,s willprovide the necessary data to determine what additional testing or criterion the commercialcooking appliances should undergo or potential changes or exceptions to NFPA 96 and theexhaust hood requirements for solid fuel cooking.Standards and regulations requirements NFPA 96 sets the minimum preventative and operative requirements to design, install,operate, inspect, and maintain all public and private cooking operations. The purpose of NFPA96 is to reduce the potential fire hazards of cooking operations regardless of the type of cookingequipment used. NFPA 96 outlines the minimum fire safety requirements for all devices andcomponents that are involved in capturing, containing, and controlling grease-laden cookingvapors
, J. M. Caputo, E. A. Ford, R. Fu, S. A. Leibowitz, T. Liu,…C. Wu, “Investigating workplace communication behaviors,” Journal of Business Communication, vol. 50, pp. 152-169, 2013[5] J. R. Meredith, S. M. Shafer, and S. J. Mantel, Project Management: A Strategic Managerial Approach, 10th ed. Hoboken, NJ: Wiley, 2018.CONFLICT NEGOTIATION TRAINING[6] ABET. (2020, Jan ). Criteria for accrediting engineering programs. [online] Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2019-2020/[7] A. L. Mello, and L. A. Delise, “Cognitive diversity to team outcomes: The roles of cohesion and conflict management,” Small Group Research, vol. 46, pp. 204-226, 2015.[8] J
: Building Value and Cost Leadership, Free Press, New York, NY, 1997.2. Sanderson, S. W. and Uzumeri, M., Managing Product Families, Irwin, Chicago, IL, 1997.3. Bremmer, R., "Cutting-Edge Platforms," Financial Times Automotive World, June 1999, pp. 30-38.4. Simpson, T. W., "Product Platform Design and Customization: Status and Promise," Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 18, No. 1, 2004, pp. 3-20.5. Shooter, S. B., Simpson, T. W., Kumara, S. R. T., Stone, R. B. and Terpenny, J. P., "Toward an Information Management Infrastructure for Product Family Planning and Platform Customization," ASME Design Engineering Technical Conferences - Design Automation Conference (Chen, W
Expectations for the Masters-Level Structural Engineering Graduate Preparedness using the Delphi MethodIntroduction Structural engineering educational programs in the U.S. are facing great challenges incorrelating their programs and goals with the needs of their graduates and the structuralengineering profession in today‟s constantly changing global environment. The ASCE Raise theBar initiative within civil engineering, its call for education beyond the undergraduate level forfuture entry into civil engineering practice, and ongoing and upcoming changes in professionalregistration emphasizes the need for structural engineering at the graduate level to be carefullyplanned. The educational content
Education Annual Conference & Exposition Copyright ©2005, American Society for Engineering Educationindustry practice. During its 100-year development, the concept has grown to become an underpinning ofexperiential learning programs worldwide.Accountability concerns have created a focus on practical learning outcomes deemed important by industry. TheAccreditation Board for Engineering and Technology (ABET) 2000 Criteria, developed in the late 1990’s, stronglyemphasize an understanding of market needs. Measurement, feedback and continuous improvement form cornerstones of the ABET 2000 philosophy. The thinking behind the criteria is largely based on the logistic conceptsdeveloped by Dr. E. Deming that revolutionized the
(s) in ever greater detail.In our later discussion of student reaction to this course, we will also note that students wereengaged by our devoting a significant portion of the course to a series of case studies. Thisapproach, too, bears something of the “cost” of substituting meaningful discussions of bothtechnical and social aspects of events such as the 1981 collapse of the Kansas City HyattRegency Hotel and the construction of the Three Gorges Dam in central China for further“depth” in the analysis of one-dimensional bars or of the hydrostatics of dams. It seemed to usthat such case studies would offer conceptual reinforcement, real-world application, and anextension and expansion of course material whose benefits far outweighed this cost
computer assisted teaching methodologies have been developed.All these are important for successful teaching and restructuring of the integrative electricmachine/energy conversion course. Table 1. Restructured Electric Drives Course Modules and Lab Sessions Lectur es No. Topics (39 hour s) 1 Introduction to Energy Conversion/Electric Drive Systems 1 2 Understanding Mechanical System Requirements 2 3 Review of Basic Electric and Three Phase Circuits 3 4
FormatTo facilitate the easy distribution and collection of the exam results, students took the examusing an online testing tool hosted inside a standard web browser. Only those students enrolledin the course were given access to the exam. Individual exam results were automaticallytabulated and sent to the course staff once each exam was completed. In addition, if a studentencountered a technical difficulty with the exam that prevented him/her from completing it, s/hewas given an opportunity to take it again and each attempt was logged separately. Fortunately,this only happened to a small number of students and there was no effect on the overall examresults.3.2 Testing SampleThe exam was initially given to a group of approximately 350 students in
particular focus on their hidden identity, mental health, and wellbeing. Her work aims to enhance inclusivity and diversity in engineering education, contributing to the larger body of research in the field.Mr. Syed Ali Kamal, University at Buffalo, The State University of New York Syed Ali Kamal is a doctoral candidate in the Department of Engineering Education at University at Buffalo. His research interests lie in the area of diversity, equity and Inclusion, mental health and wellbeing.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment
negatively [5,6,7].Thus, more effective support for community college students transferring to four-yearinstitutions is needed to ensure their success [8]. One way to address this situation and secure thesuccess of transfer students is the creation of programs that provide institutionalized support totransfer students post-transfer. The NSF funded S-STEM scholarship programs are one exampleof such institutionalized support programs.They not only provide financial support to thestudents, but also have students engage in co-curriculum cohort activities including mentoring,academic advising, tutoring, social activities and career development activities [9].However, to develop the best support system possible, we need to have a clear understanding
inpsychological studies [22-26]. The continued curiosity in the theory of identity is attributed to thesignificance of understanding an individual in social settings and how they appear in society.Identity theory proposes individuals have several identities framed in hierarchal order. Commonly,identity is considered as categories used to establish the societal role for an individual. A coreobjective of identity theory is to indicate how the categories associated to an individual’s differentidentities are assigned and controlled during interactions. In the late 60’s Erik Erikson positedidentity formation essential to the development of an adolescent. Erikson’s framing of identityconsiders a process dually positioned in the core of an individual and
exercise of control. New York: W.H. Freeman.[3] Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132.[4] Hackett, G. (1995). Self-efficacy in career choice and development. In A. Bandura (Ed.), Self- efficacy in changing societies (pp. 232-258). New York: Cambridge.[5] Rottinghaus, P. J., Larson, I. M., Borgen, F. H. (2003). The relation of self-efficacy and interests: A meta-analysis of 60 samples. Journal of Vocational Behavior, 62, 221-236.[6] Hidi, S., & Renninger, K. A. (2006a). The role of interest in learning and development. Annual Review of Psychology, 57(1), 517-540.[7] Hakkarainen, K., & Malmberg, J. (2004). Communities of networked expertise
the importance of recognizing issues and variationsin emotional responses, particularly in students facing math difficulties. They highlight the dynamicnature of these emotional states, which can significantly shift across diverse learning activities andinfluence the engagement level [37]. For example, negative emotions raise frustration levels whichcan be helpful during focused learning and problem–solving s but when the time constraint isinvolved, the same emotion can be the reason for a lower engagement level [1].The second research question focused on the specific emotions have researchers proposed aspotential indicators of deeper cognitive engagement in educational settings. When we are talkingabout specific emotional indicators
. Page 24.899.10Bibliography1 National Science Foundation, N. S. B. Science and Engineering Indicators: Digest 2012. NSB 12-02. (National Science Foundation, 2012).2 Olson, S. & Riordan, D. G. Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President. Executive Office of the President (2012).3 National Science Foundation, N. C. f. S. a. E. S. Women, Minorities, and Persons with Disabilities in Science and Engineering: 2013. Special Report NSF 13-304. Arlington, VA. Available at http://www.nsf.gov/statistics/wmpd/. (2013).4 Seymour, E. & Hewitt, N. M. Talking about leaving : why undergraduates leave
on their specific andgeneral experiences. Onesection of the semi-structured interview that will be of focus in this particular study askedparticipants to describe and rate the value placed on specific social support. On a 10-pointLikert scale ranging from 1-10, participants are asked to rate the value placed on theeducational and career support from family, classmates, friends, and engineering faculty.Participants were also asked whether these groups provided support, and if so, what types ofsupport(s) they received.ResultsQuantitative Analysis: Survey Black and Hispanic engineering students‘ responses on the Engineering Fields Surveyprovided quantitative data to examine students‘ perceptions of social support and barriers
that does not meet Provides evidence that s/he can s/he can actively listen or read benchmark (cell critically listen or read through a Articulates an understanding of through a lens of technical
]. • Honoring the language(s) and cultural practices of minoritized communities, recognizing how racialized ideologies shape engineering education [21]. Curriculum and students • Fostering cultural competencies and social justice through culturally responsive engineering curriculum [22], [23]. • Link between social and technical aspects [24] - [26]. Learning • Learning centered in students’ funds of knowledge Profession and education • Expanding pathways into engineering Broader issues, the • Contextualizing the work in
families and educators may serve as a useful approach.Lastly, while participants in this study spanned grade levels, gender, and ethnic social groups,future research may expand upon this sample to include a broader spectrum of demographicbackgrounds.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1759314 (Binghamton University) and Grant No. 1759259 (Indiana University). Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] E. R. Banilower, P. S. Smith, K. A. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes, Report of the 2018 NSSME
researchshould explore how to best support student peer mentors in their role in ways that help breakdown the cultural stereotypes that pervade the profession while supporting student agency andlearning in the space.Acknowledgement – This material is based upon work supported by the National ScienceFoundation S-STEM program under Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] K. Sheridan, E. Halverson, B. Litts, L. Brahms, L. Jacobs-Priebe and T. Owens, "Learning in the making: A comparative case study of three makerspaces.," Harvard Educational Review, vol. 84, no. 4505-531
, no. 1. 2020. doi: 10.1108/LHT-12-2018-0200.[2] K. C. Chen, “Machine-to-machine communications for healthcare,” Journal of Computing Science and Engineering, vol. 6, no. 2, 2012, doi: 10.5626/JCSE.2012.6.2.119.[3] Y. Hanada, L. Hsiao, and P. Levis, “Smart contracts for machine-to-machine communication: Possibilities and limitations,” in Proceedings - 2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018, 2019. doi: 10.1109/IOTAIS.2018.8600854.[4] R. Sudarmani, K. Venusamy, S. Sivaraman, P. Jayaraman, K. Suriyan, and M. Alagarsamy, “Machine to machine communication enabled internet of things: a review,” International Journal of Reconfigurable and Embedded Systems
): Algorithm Details – do the authors name the machine learning method(s) used? Do they cite a quality paper for these method(s)? Do they discuss algorithmic settings? Example 1:“Linear discriminant analysis” has no algorithmic settings and means a specific function Example 2: “discriminant analysis” is unclear (i.e. there are many discriminant variants such as linear and quadratic) Example 3: Artificial neural networks have many settings (number of nodes, number of layers, types of nodes, training methods, architecture variant). All of these must be specified for repeatability Data Details – do the authors describe the source of the data or the collection means? Do they cite a source? Do they describe all data variables? Performance Result
Center for Applied Special Technology),Universal Design for Learning (UDL,) which is described on the CAST website as “a frameworkto improve and optimize teaching and learning for all people based on scientific insights intohow humans learn,” is heavily addressed in the scholarly literature. See the CAST website athttps://udlguidelines.cast.org/ for the basic outline of this method of accessible instruction. Asearch of UDL will result in many books, articles [54], and videos about using UDL principles aswell as challenges and critiques of the method.5See S. Burgstahler’s article, “Equal Access: Universal Design for Instruction” for a descriptionof UDI, which is a modification of UDL. Available at https://www.washington.edu/doit/equal-access
to an over-representation of 104% (percent change) compared to anover-representation of whites by just 4.8% (percent change)” (p. 271). While this seems to be,and arguably is, problematic, as Pippert and colleagues point out, this could potentially be aresult of the aspirations of IHEs – by depicting greater diversity, more diverse students may wantto enroll, which will create more diverse campuses. To that notion, Gibbs [68] argues – and weagree – that “persuasive marketing” by IHEs is unethical, and that colleges should resistemploying such strategies.This concept of disingenuous marketing was reproduced in Henslee et al.’s 2017 mixed methodsstudy examining undergraduate, first-year student perceptions of the college viewbook at
skill [23], perspective orway of thinking [24], [25], or compilation of skills and attitudes [26], [27]. Kuratko, Fisher, andAudretsch’s [28] study from a business context describes EM as consisting of three aspects:cognitive, behavioral, and emotional, positing that without all three working together, anindividual’s EM has not reached its fullest potential.The KEEN 3Cs framework captures multiple elements of EM, including motivations, skills, andoutcomes. London et al.’s [12] study developed a conceptual framework for the 3Cs that includesboth mindset outcomes (attitudes) and behavioral outcomes (actions). For example, Curiosity isassociated with the mindset outcome “willingness to challenge accepted solutions” (p. 7), andthe behavioral