repeated stress fatigue cycle in which the maximum stress and the minimumstress are not equal. For this type of stress cycle the maximum and minimum stresses can be bothtension, both compression or one tension and one compression. These types of stress cycles arepresent in rotating shafts with overloads(s).1 Page 10.1404.2 Figure 2: An illustration of a repeated stress fatigue cycle1 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering EducationFigure 3 illustrates an irregular or random stress cycle
://www.acteonline.org/wp- content/uploads/2018/03/Career_Readiness_Paper_COLOR.pdf.[2] J. Defazio, "Why is Career Readiness Important?," Education Advanced, 7 April 2023. [Online]. Available: https://educationadvanced.com/resources/blog/why-is-career- readiness-important/. [Accessed 27 October 2023].[3] N. A. o. C. a. E. (NACE), "WHAT IS CAREER READINESS?," National Association of Colleges and Employers (NACE), [Online]. Available: https://www.naceweb.org/career- readiness/competencies/career-readiness-defined. [Accessed 30 October 2023].[4] G. F. P. C. C. L. Bonesso S., "Students' entrepreneurial intentions: The role of prior learning experiences and emotional, social, and cognitive competencies.," Journal of Small Business Management
Education During the Pandemic: Responses to Coronavirus Disease 2019 From Spain," Frontiers in Psychology, Original Research vol. 12, 2021.[2] A. Bashir, S. Bashir, K. Rana, P. Lambert, and A. Vernallis, "Post-COVID-19 Adaptations; the Shifts Towards Online Learning, Hybrid Course Delivery and the Implications for Biosciences Courses in the Higher Education Setting," Frontiers in Education, Original Research vol. 6, 2021.[3] S. R. Jayasekaran, S. Anwar, K. Cho, and S. F. Ali, "Relationship of students' engagement with learning management system and their performance-An undergraduate programming course perspective," 2022.[4] I. A.-O. DeCoito and M. A.-O. Estaiteyeh, "Transitioning to Online Teaching
interventions in their classroomsand examine best practices to utilize such interventions to promote entrepreneurially mindedlearning within engineering classrooms.AcknowledgmentThis work was developed, in part, as a result of the author’s (or authors’) participation in theAmerican Society of Engineering Education Archival Publication Authors Workshop forEngineering Educators (ASEE APA-ENG) program.References[1] S. Shane and S. Venkataraman, "The Promise of Entrepreneurship as a Field of Research," Academy of Management Review, vol. 25, no. 1, pp. 217-226, 2000, doi: 10.5465/amr.2000.2791611.[2] L. Bosman and S. Fernhaber, Teaching the Entrepreneurial Mindset to Engineers. Springer Cham, 2018, p. 142.[3] N. Suprapto et al
and Mathematics (STEM)outreach is well documented. The methods by which this is accomplished vary and depend onthe specific needs of the student or STEM stakeholder being supported. Further the outreachprovider can vary in size from single high school students doing experiments with youngerstudents, to scientists and engineers (S&E’s) visiting classrooms, and to fortune 500 companiesdonating vast sums of money to build STEM infrastructure.1 Each of these has the potential toinfluence students and impact STEM careers. This paper looks to document what the authorsconsider a large STEM organization. The STEM outreach provider being described is one of theU. S. Army’s research centers, the Armament Research, Development and Engineering Center
became a possibility formaintaining modern comfort while causing minimal environmental harm. People continuelooking for ways to maintain modern comforts as new ideas are investigated, includingintegrating renewable energies with vehicles for a more sustainable form of transportation.Literature ReviewAutomobile evolution began as horse drawn carriages retrofitted with steam, gasoline, andelectric propulsion. Over time, technological advancements saw the creation of modern-dayautomobiles with gasoline and diesel rising as the main energy source. However, the burning offossil fuels began having noticeable negative environmental impacts by the 1970’s, sparking adebate for change to alternative forms of energy. People hoped to create a purely
. © American Society for Engineering Education, 2022 Powered by www.slayte.com Future Career Pathway Perceptions of Lower-Income Computing Students Through the Lens of Capital Exchange1. BackgroundWhile significant broadening participation efforts in computing higher education have focusedon gender and race [1]-[3], the experiences of lower-income students in undergraduatecomputing education are as yet underexplored. One major effort focused on lower-incomestudents is the National Science Foundation (NSF) Scholarships in Science, Technology,Engineering, and Mathematics (S-STEM) program, a funding program designed to supportlower-income students to persist and succeed in STEM fields. The
shiftsbetween the 1970’s and 2010’s.using paradigms to understand AI’s evolutionPractitioners in diverse fields define the term “paradigm” in different ways depending on theirdomains, with slight variations corresponding to norms in their respective fields. We takeKuhn’s[12] view which holds that a paradigm provides an open-ended resource that presents aframework of concepts, results and procedures within which subsequent work is structured. Acharacteristic of paradigms is that they can “shift” with new knowledge or evidence. An exampleusing human flight experience can be represented as shown in Table 2 below. The inspirationmay have originated from nature, through birds’ ability to swiftly move in air. Legends andmythology from early Greek times
operator, applied in postfix notation. To obtain the transferfunction of this system, one assumes that the initial conditions of the input and output signals arezero and applies the Laplace transform to both sides of this differential equation to giveU(s)a(s) = Y (s)b(s), where U(s) and Y (s) are the Laplace transforms of u(t) and y(t),respectively, and s is a complex variable. This yields the transfer function Y (s)/U(s) = a(s)/b(s),which may be multiplied by a particular transformed input U(s) to find the correspondingtransformed output Y (s).Transfer functions are appealing in that they model dynamic systems as rational functions that canbe added, multiplied, and inverted to reduce networks of interconnected subsystems. However,the educational
agreed to incorporate the nanotechnology-based design project intotheir sections. This project required students to develop a Graphical User Interface (GUI) usingMATLAB to teach their peers about nanotechnology for a real project partner (nanoHUB.org).17The student teams received a memo from the project partner that described the details of theassignment (Appendix A). The project was driven by five criteria: 1. Clearly helps peers understand the Size & Scale of nanotechnology (big idea #1), 2. Clearly assists peers in connecting Size & Scale to at least one other nanoscience big idea 3. Clearly engages peers in how criteria 1 and 2 apply to one or more engineering disciplines via model(s) or simulation(s) 4. Is highly
/experiences for some of the competencies but few, if any,would specify all the courses/experiences that every scholar must complete for each of the fivecompetencies. Thus, even within an institution, how each Grand Challenges Scholar achieveseach competency often varies. For example, some scholars may complete course(s) while othersmay engage in experience(s) in order to achieve each competency. The types of courses andexperiences students are involved in also vary, depending on the students’ Grand Challengefocus area and/or their specific interests within that competency area. For example, therequirements to achieve each GCSP competency at ASU, shown below in Table 1, are written interms of number of courses and experiences, but the student can
increasingly used as a safety management tool in the nuclear power industry through the 1980’s and 90’s. This capability is of central importance in the domestic nuclear power industry in the new century. PRA provides answers to four important questions: (i) What can go wrong? (ii) How likely is it? (iii) What are the consequences? and (iv) How do uncertainties impact the above answers? There are three levels of PRA analysis in the commercial nuclear power industry: Level 1, Level 2, and Level 3. Level 1 consists of an analysis of plant design and operation focused on the accident sequences that could lead to a core damaging event, their basic causes and their frequencies. Key figure of merit is the Core Damage
Statistics [8], first-generation college students were characterizedas students’ whose parents did not have postsecondary educational experience. Another studystated, “first-generation college students include students whose parents may have some college,postsecondary certificate(s), or associate’s degree, but not a bachelor’s degree” and this definitionclosely aligns with the definition set forth by the Federal TRiO program (i.e., outreach and studentservice programs created to serve students from disadvantaged backgrounds) [9, p. 8]. There areinconsistencies and numerous ways in defining first-generation college students, so much so thatWhitley et al. [10] found at least six different definitions. However, regardless of how first-generation
through undergraduate education. This frame is visually represented inFigure 2. Figure 2 Visual Representation of Relationships between Local Standards, National Directives, Higher Education Outcomes and Literature Synthesized for Engineering Epistemic Frame The epistemic frame elements are skills(S), knowledge(K), identity(I), values(V), andepistemology(E), and have been coded as such for analysis. Each parent code (S,K,I,V,E) has aset of sub-codes that allow for macro and micro analysis. The nomenclature for each code isparentcode.subcode, for example k.localknowledge represents the sub-code localknowledgeunder the parent code K. (but indicated in lowercase). Figure 2 shows how sub-codes
Paper ID #16983Challenges for Integrating Engineering into the K-12 Curriculum: Indicatorsof K-12 Teachers’ Propensity to Adopt InnovationDr. Louis Nadelson, Utah State University Louis S. Nadelson is an associate professor and director for the Center for the School of the Future in the Emma Eccles Jones College of Education at Utah State University. He has a BS from Colorado State University, a BA from the Evergreen State College, a MEd from Western Washington University, and a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and preservice teacher
Techniques,” AK Peters, Ltd.[8] Nistér, D., Naroditsky, O. & Bergen, J., 2006, “Visual Odometry for Ground Vehicle Applications,” Journal of Field Robotics, 23(1) 3-20.[9] DeSouza, G. N. & Kak, A. C., 2002, “Vision for mobile robot navigation: A survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(2) 237-267.[10] Zhang, M., Zhang, Z., Esche, S. K. & Chassapis, C., 2013, “Universal Range Data Acquisition for Educational Laboratories Using Microsoft Kinect,” Proceedings of the 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, USA, June 23-26.[11] Zhang, M., Zhang, Z., Aziz, E.-S., Esche, S. K. & Chassapis, C., 2013, “Kinect-Based Universal Range Sensor for Laboratory
-serving community college hasestablished a scholarship program for financially vulnerable community college students whowish to move to a four-year university to obtain a bachelor's degree in a STEM field. Developedthrough a S-STEM grant NSF Scholarship, the program included cooperation between STEMteachers, college employees, administrators, student organizations and industry partners, four-year colleges, local high schools and professional organizations. In addition to providingfinancial support, student access to academic capital was enhanced by an intensive math reviewprogram, tutoring, study groups, additional training, and internship opportunities for research.Access to cultural and social capital was increased by providing scholars with
Ca Un ty o SLO ro ive f K lin rs an a it s A & y o as
c American Society for Engineering Education, 2012 Interdisciplinary Teams through Two Companion Courses on InfrastructureAbstractOne of the program outcome criteria for ABET accreditation is that students demonstrate “anability to function on multidisciplinary teams” (Criterion 3(d)). * An innovative way to meet thiscriterion was piloted at the University of Wisconsin—Platteville in the 2011 Fall Semester by theauthors. During that semester, we taught two infrastructure-related courses. The first course,called “Introduction to Infrastructure Engineering” (I2I), was taken by civil and environmentalengineering students. The second course, “Infrastructure and Society” (I&S), was
pressure, velocity, orelevation at one of the points, provided that the correct unit conversions are applied.Bernoulli Example. Given cold water flowing through an arbitrary shape where z1 = 100 ft, z2 =50 ft, p1 = 30 lbf/in2, V1 = 25 ft/s, V2 = 1ft/s, and = 62.4 lbf/ft3. Since water is essentiallyincompressible in this range, then the unknown pressure p2 can be determined by rewritingBernoulli’s equation using algebra as follows: V 2 V22 p2 p1 ( z1 z2 ) 1 2g Note that each term has basic dimensions of force per area (length2) and the rules
have been calls to develop and deploy graduate STEM education modelsthat prepare students for careers outside academia. Few innovations have emerged to meet students attheir current skill and preparation levels when entering their graduate studies while also consideringstudents' individual desired career paths. The U.S.'s current approach to graduate STEM education doesnot emphasize preparing students with professional skills and experience outside the lab. Further,students from differing socioeconomic and underserved backgrounds are often not adequatelysupported. Through a National Science Foundation Innovations in Graduate Education (IGE) award, theUniversity of Pittsburgh Swanson School of Engineering is creating and validating a
someone make such aninvestment? What are the motivating factors? Of course, there are the enticements of highsalaries and prestige. But with lower percentages of American students currently choosingscience and engineering than in other major nations of the world, maybe it‟s time to rethink theadequacy of such motivations. A recent New York Times editorial by Columbia Universityphysicist and Author, Brian Greene, strongly advocates teaching science in a way that includesits dramatic implications for worldview. He emphasized “the powerful role science can play ingiving life context and meaning”. He suggested that instead of just focusing on the technicaldetails, “science needs to be taught to the young and communicated to the mature in a mannerthat
design their class.Among the multiple ways to reveal collaborative problem-solving processes, temporal submissionpatterns is one that is more scalable and generalizable in Computer Science education. In thispaper, we provide a temporal analysis of a large dataset of students’ submissions to collaborativelearning assignments in an upper-level database course offered at a large public university. Thelog data was collected from an online assessment and learning system, containing the timestampsof each student’s submissions to a problem on the collaborative assignment. Each submission waslabeled as quick (Q), medium (M), or slow (S) based on its duration and whether it was shorter orlonger than the 25th and 75th percentile. Sequential compacting and
. Kuratko, G. Fisher, and D. B. Audretsch, "Unraveling the entrepreneurial mindset," Small Business Economics, vol. 57, pp. 1681-1691, 2021.[3] R. J. Pidduck, D. R. Clark, and G. Lumpkin, "Entrepreneurial mindset: Dispositional beliefs, opportunity beliefs, and entrepreneurial behavior," Journal of Small Business Management, vol. 61, no. 1, pp. 45-79, 2023.[4] R. D. Ireland, M. A. Hitt, and D. G. Sirmon, "A model of strategic entrepreneurship: The construct and its dimensions," Journal of management, vol. 29, no. 6, pp. 963-989, 2003.[5] S. E. Zappe, "Avoiding Construct Confusion: An Attribute-Focused Approach to Assessing Entrepreneurial Mindset," Advances in Engineering Education, vol
definition highlights the depth and complexity of successful mentoring. After a close review of theliterature, we opted for sticking to [31]’s identification of 4 latent variables that were validated by [32] in 2009 forthe College Student Mentoring Scale. The variables underlying the mentor-protégé relationship at the collegiatelevel involve (a) Psychological and Emotional support, (b) Degree and Career Support, (c) Academic SubjectKnowledge Support, and (d) the Existence of a Role Model. While more testing is needed to validate theseconstructs in a variety of settings, it provides an important starting point for a contextually sensitive mentoringstudy. A definition with this level of theoretical specificity can be helpful for assessing program
of engineering disciplines and subdisciplines, diversemethods for learning engineering have been developed encompassing both theoretical andpractical aspects.The call for engineering education reform seems to be continuous [1-9]. On the one hand,engineering curricula are slow to change, but on the other hand the target keeps moving. In the1990’s there was a sense that engineering education was out of touch with the actual practice ofengineering. In response, design has become a more prominent part of most engineeringcurricula. In recent years, globalization and the commoditization of many engineering functionshas lent an air of uncertainty to the direction that engineering education should go. While entirecurricula will likely undergo some
of cause and effectdirect thinking and reverse thinking when the final velocity is given instead of the initial velocity(Figure 1). The ill-structured problem of giving the initial velocity direction without magnitudeand final velocity direction without magnitude in cell phone camera shots as the projectileinformation has been given routinely to gauge the development of fluid intelligence when theelapsed time between the two camera shots is known. In such a case, the position of the (9.8m/s/s * t) vertical vector needs to be moved sideways until it would fit into a triangle since thelength of v0 and vf are not known. The velocity addition with a parallelogram construction inconstant acceleration was devised for ball throwing using
comparemultiple student files to an instructor's grading key. CADcompare augments the grading processof technical and engineering CAD drawings by highlighting differences that can be easily missedby a human grader, such as incorrect line type(s), color(s), or double lines (i.e., lines on top of eachother). Some CAD software has built-in comparison tools, however, none of the comparison toolsaccept PDF files to compare, are web-based applications, or can compare multiple student files atonce like CADcompare can. Grading engineering CAD drawings with accuracy and fairness cantake a lot of time, the intended use of CADcompare is to act as a grading tool to help instructorsgrade faster, more accurately, and without unintended bias. Spring 2017, a Windows