presented with the followinghomework problem: A tube with circular cross section is fashioned from compacted dark chocolate powder (inner wall radius R = 2 cm, total length L = 20 cm). Warm milk is flowing slowly (v = 6 cm s-1) in laminar fashion (no chaotic mixing) through it. The milk entering the tube is chocolate-free (0.0 g cm-3). Chocolate dissolving in the milk is carried downstream by convection and is also spreading radially inward by diffusion. The diffusion coefficient of the chocolate in the milk is D = 0.35 cm2 s-1. You realize that the system may be described with the following PDE (z is the length down the tube, r is the radius, c is the local concentration of chocolate in
reflect the views of the National ScienceFoundation.References[1] World Health Organization, “Water, sanitation, hygiene and water management for the COVID-19 virus,” 2020.[2] C. Hendrickson and L. R. Rilett, “The COVID-19 Pandemic and Transportation Engineering,” Journal of Transportation Engineering, vol. 146, no. 7, pp. 1–2, 2020, doi: 10.1061/jtepbs.0000418.[3] R. K. Bhagat, M. S. Davies Wykes, S. B. Dalziel, and P. F. Linden, “Effects of ventilation on the indoor spread of COVID-19,” Journal of Fluid Mechanics, vol. 903, 2020, doi: 10.1017/jfm.2020.720.[4] T. R. Witcher, “Collaboration among Professionals: The Role of Civil Engineers in Public Health,” Civil Engineering, vol. 90, no. 6, pp
technology-focused approaches.References[1] National Science Foundation, “Women, Minorities, and Persons with Disabilities in Science and Engineering: 2017,” National Center for Science and Engineering Statistics, Arlington, VA., Special Report NSF 17-310, 2017. [Online]. Available: www.nsf.gov/statistics/wmpd/.[2] NGSS Lead States, Next Generation Science Standards: For States, By States. Washington, D.C.: National Academies Press, 2013.[3] S. L. Pruitt, “The Next Generation Science Standards: The Features and Challenges,” Journal of Science Teacher Education, vol. 25, no. 2, pp. 145–156, Mar. 2014, doi: 10.1007/s10972- 014-9385-0.[4] S.-A. A. Allen-Ramdial and A. G. Campbell, “Reimagining the Pipeline: Advancing STEM
engineering class will giveus a glimpse into what attitudes students have coming into the course as well as how thoseattitudes change (if at all) in response to the human-centered design modules being introducedthis semester.The ultimate goal for the insights gathered from synthesizing both the qualitative andquantitative data from this study is to understand the gaps that exist between engineering studentdesires and existing curricular offerings, and how human-centered design can be best integratedto help fill some of those gaps (if at all). The research should help us identify who would benefitmost from this integration (what type(s) of students) and when in the 4-year curriculum it wouldbenefit them most.References [1] A. Valentine, I. Belski
outcomes from a curriculum-wideapproach.References[1] A. Hain and S. Motaref, “Implementing Interactive 3-D Models in an Entry Level Engineering Course to Enhance Students’ Visualization,” presented at the 2020 ASEE Virtual Annual Conference Content Access, June 2020, Virtual Online. 10.18260/1-2--34782.[2] J. L. Segil, B. A. Myers, J. F. S. Ph.D, and D. T. Reamon, “Efficacy of Various Spatial Visualization Implementation Approaches in a First-year Engineering Projects Course,” presented at the 2015 ASEE Annual Conference & Exposition, 2015, pp. 26.590.1– 26.590.8.[3] S. A. Sorby, B. Casey, N. Veurink, and A. Dulaney, “The role of spatial training in improving spatial and calculus performance in engineering students
academic climate subscales by gender might be useful. While we foundno interaction with gender, at the end of the semester women engineering studentsengineering identity was lower. Future research should incorporate other methodologies toexplore what causes such decreases in women undergraduates’ engineering identity. Aqualitative analysis could include female undergraduates to have more information and betterunderstanding of how their engineering identity is shaped in an inclusive curriculum.References[1] “The State of U.S. Science and Engineering 2020 | NSF - National Science Foundation.” https://ncses.nsf.gov/pubs/nsb20201/u-s-s-e-workforce (accessed Feb. 15, 2021).[2] G. M. Walton, C. Logel, J. M. Peach, S. J. Spencer, and M. P. Zanna
grant from the National Science Foundation # 2027471. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] J. Bourne, D. Harris, and F Mayadas, “Online engineering education: Learning anywhere, anytime,” Journal of Engineering Education, vol. 94, no. 1, pp. 131-146, 2005.[2] C. Hodges, S. Moore, B. Lockee, T. Trust, and A. Bond, “The difference between emergency remote teaching and online learning,” Educause Review, vol. 27, 2020, [Online]. Available:https://er.educause.edu/articles/2020/3/the-difference-between- emergency-remote-teaching-and-online-learning.[3] L
Concept % of students Moral(s) 45.8 Right 34.2 Others 28 Wrong 27.6 Values 26.7 Personal 22.7 Good 22.7 Work 22.2 Problem 21.3 Consequence(s) 18.7Hess (2018) identifies the
thathave collaborated with educational institutions to make curriculum more responsive to workforceneeds. The technology trends listed above are further enabled by industries such as thesemiconductor [3] and wireless [4], both of which are facing acute shortage of new talent. Hence,in addition to employer-specific training, it is imperative that engineering programs update theircurricula and pedagogy to include experiential learning experiences that would better preparegraduates to meet industry expectations. Building the workforce of tomorrow is the sharedresponsibility of industry and higher education establishments.As part of the National Science Foundation (NSF) and the American Society for EngineeringEducation (ASEE)’s joint initiative called
provided to the instructor. Student surveyresponses and course outcomes were combined using their student ID number, which was thenremoved. Only students that completed all study components were included in the analysis.The beginning of the semester surveys included student demographic information, a self-assessment of engineering skills, and the GRIT-S questionnaire [17]. The end of semester surveyincluded the intrinsic motivation activity perception questionnaire for computer programming, arepeat of the engineering skills assessment, rating for how much students felt different aspects ofthe course benefited them and additional questions about their perceptions of the self-directedproject. To determine students’ feelings on the aspects of the
todistinguish between the laminar and turbulent flow. 𝑈𝐻𝑅𝑒 = (1) νIn Eqn.1, U (m/s) is the free stream velocity, ν is kinematic fluid viscosity (m2/s), and H (m) is thebuilding height. The flow with Re higher than 𝑅𝑒 = 5 × 105 at boundary layer normally isturbulent.1.3. Turbulence Modeling and Large Eddy Simulation MethodTurbulent flow is irregular and due to this irregularity, the turbulent flow appears difficult to beexpressed as a function of space and time. To model turbulent flow, we should use turbulencemodeling. Turbulence modeling is a mathematical approximation to model the physical behaviorof turbulent flows. The Navier Stokes (NS
conversion of the reactants (e.g., the items on the left-hand side ofEquation 1) to the products (e.g., the items on the right-hand side of Equation 1). Equations 1 and2 show the enzymatic reactions that commonly take place in bioreactors (e.g., bacteria andmammalian cells). Enzymatic reactions also take place in our daily lives. For example, sucrose(referred to as S, the substrate) in food is converted to glucose and fructose (referred to as P, theproduct) in the enzymatic reactions catalyzed by the enzyme sucrase (referred to as E, the enzyme)in the following figure. In another example, Amylase (i.e., E) in the saliva of humans catalyzes thehydrolysis of starch (i.e., S) into sugars such as maltose and maltotriose (i.e., P). The enzyme isone type
means that the courseneeded to be scheduled for the full 2.5 hr. time slot, meaning that future versions of the courseneed to reduce the time slot to increase enrollment and to avoid time conflicts with students’research obligations. Table 1: Schedule for the PhD Teaching Course Week Theme Topic(s)1 In-Class Time 1 Overview: You as a Student N/A 2 hr., 8 min. 2 Overview of Our Students and 2-1 Overview of Engineering 1 hr., 20 min. U.S. Engineering Schools Education in the U.S
seen in Fig. (1). Kinetic energy of the magnetic tip mass can be found using its velocity x˙ according to 1 T = m x˙2 . (7) 2This results in a Lagrangian L = T − U s − Um , (8) Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference Baylor University, Waco, TX Copyright ©2021, American Society for Engineering Education
, "Eating in Space," National Aeronautics and Space Administration, 26 November 2019. [Online]. Available: https://www.nasa.gov/audience/foreducators/stem-on-station/ditl_eating. [Accessed October 2020].8. K. Mjoun, K. Rosentrater and M. Brown, "TILAPIA: Environmental Biology and Nutritional Requirements," South Dakota State University, Brookings, 2010.9. B. Gjerde, S. B. Mengistu, J. Odegard and H. Johansen, "Quantitative genetics of body weight, fillet weight and fillet yield in Nile tilapia (Oreochromis niloticus)," April 2012. [Online]. Available: https://www.researchgate.net/publication/256917146_Quantitative_genetics_of_body_weight_fillet_weight_and_fil let_yield_in_Nile_tilapia_Oreochromis_niloticus. [Accessed
, ongoing evaluation and tracking should guide recruitment and retention initiatives, and institutional support is needed to implement significant and sustainable changes in other areas.Below, we first present recent outcome data supporting the effectiveness of ES-UP’s approach.Then, we describe the individual components of the NCWIT ES-UP Systemic Change model andrelevant practices for recruiting and retaining undergraduate women. Specific examples fromsuccessful ES-UP client departments are highlighted.SUPPORT FOR THE ES-UP SYSTEMIC CHANGE MODELES-UP provides client department(s) with a trained consultant who assists with the developmentand implementation of a strategic plan that addresses all components of the systemic changemodel
-learning version of a course s/he had taught previously in a face-to-faceformat. Notably, the distance-learning version also included active learning components (e.g.,questions embedded in lecture videos).Despite the integral role the GTAs played in undergraduate teaching, these students noted thatthey did not receive extensive preparation to serve as GTAs. Some of them completed a trainingat the beginning of their program, while others did not, as department-level training was notprovided on a regular basis. In addition, the GTAs reported that, before joining the SIMPLEgroup, they did not often have opportunities to interact with fellow GTAs and faculty membersto talk about teaching. Some of the courses they were teaching had weekly meetings with
, 24(8), 681-695.Aud, S., Fox, M. A., & KewalRamani, A. (2010). Status and Trends in the Education of Racial and Ethnic Groups. NCES 2010-015. National Center for Education Statistics.Avery, C., & Kane, T. J. (2004). Student perceptions of college opportunities. The Boston COACH program. In College choices: The economics of where to go, when to go, and how to pay for it (pp. 355-394). University of Chicago Press.Bailey, T. (2009). Challenge and opportunity: Rethinking the role and function of developmental education in community college. New Directions for Community Colleges, 2009(145), 11-30.Bailey, T., Jeong, D. W., & Cho, S. W. (2010). Referral, enrollment, and completion in
Definition M Empowerment How in control a student feels about his or her own learning experience. U Usefulness How useful a student thinks course material is to them. S Success The student’s belief in their ability to do well in the course. I Interest How fun or interesting course material is to the student. C Caring Whether the student feels that course instructors are empathetic towards how they experience the courseThe constructs of the MUSIC model are geared towards course-level motivation. Collectively, they helpto tell a story about how
-1044497 and DUE-1323773. We thank Drs. J. Aberle, M. Ardakani, S.Chickamenahalli, R. Ferzli, G. Formicone, S. Goodnick, R. Gorur, O. Hartin, G. Karady, R.Kiehl, Hongwei Mao, B. Matar, S. Ozev, L. Sankar, Donghoon Shin, Meng Tao, C.Tepedelenlioglu, T. Thornton, G. Trichopoulos, D. Vasileska, Chao Wang, Marnie Wong,Hongbin Yu, and Hongyu Yu for using the software in their sections of EEE 202 at ASU. Wethank Y. Astatke for using the software in EEGR 202 at Morgan State University, H. Underwoodand R. Fish for using it in ENGR 236 at Messiah College, J. David Irwin for using it in ELEC2110 at Auburn University, Jennifer Ross and Huihui Zhu for using it in ECPE 41 at Universityof the Pacific, V. Gupta for using it in EE 20234 at the University of Notre
and the subgroups did not allhave statistically significant populations. Future work will attempt to gather data from a largergroup of respondents. Future work will also attempt to analyze some of the open response datausing the comparative method 31, 32 method to provide further insights into how educationalinstitutions can better collaborate with industry to prepare the necessary workforce to fullyexploit the technological capabilities of Industry 4.0. Future work will details some expliciteducational initiatives related to these goals, particularly aimed at small and medium sizedenterprises.References[1] Ito, T., & Abadi, S. M. J. (2002). Agent-based material handling and inventory planning in warehouse. Journal of intelligent
reverseengineering and imitation. Typical civil engineering problems are used to present theprogramming concepts. Especially in the instance of VBA, students learn how to combine theuse of spreadsheet functions with VBA code. The paper includes an overview of the course andexamples of the materials covered and the teaching techniques employed. General thoughts arealso presented about the directions in which programming education may be headed in the future.1.0 IntroductionCourses about computer programming have been part of undergraduate curricula for more thanhalf a century. For example, the electrical engineering department at CMU was teachingcomputer programming in FORTRAN in the late 1960’s as a way to introduce logical thinking(e.g., flow charts) and
F W S S F W S S F W S S F W S S F W S Freshmen Sophomore Pre-Junior Junior Senior n School WorkThe students enrolled in each major are divided into two sections. As one sectionis in school the other is on a work assignment and vice versa. Each studentcompletes six quarters of co-op, over three of their undergraduate years.Engineering and Engineering Technology students average 1.7 employers perstudent. This alternating schedule requires the university to offer all sophomore,pre-junior, and junior courses twice during each academic year.Co-op students
programs with oneof the following program titles (with a few slight variations): Engineering (including GeneralEngineering), Engineering Physics, and Engineering Science(s). This paper presents informationabout ASEE’s new role, including the related activities of its Accreditation ActivitiesCommittee, the recruiting and training of prospective program evaluators and their participationin the actual accreditation process, some perspective from the first year of actual visits, and otherinformation about the near future. Also included is information about the 67 multidisciplinaryengineering programs at 65 institutions that are currently accredited by ABET and now assignedto ASEE for program review.IntroductionOne of the significant distinctions of a
, Nashville, Tennessee, 2003.10 R. D. LaRoche, B. J. Hutchings, R. Muralikrishnan, “FlowLab: Computational Fluid Dynamics (CFD) Framework for Undergraduate Education”, Proc. 2002 ASEE Annual Conference & Exposition, June, Montreal, Quebec, CA, 2002.11 Appanaboyina, S. and Aung, K., , “Development of a VRML Application for Teaching Fluid Mechanics,” Proc. 2004 ASEE Annual Conference & Exposition, June, Salt Lake City, Utah, 2004.12 R. Jia, S. Xu, S. Gao, EL-S. Aziz, S. Esche, and C. Chassapis, “A Virtual Laboratory on Fluid Mechanics,” Proc. 2006 ASEE Annual Conference & Exposition, June, Chicago, Illinois, 2006.13 R. LaRoche, B. Hutchings, and R. Muralikrishnan, “FlowLab: Computational Fluid Dynamics (CFD) Framework for
13 10 10 14 M 1 2 5 5 2 I 3 1 1 1 0 A 75% 81% 63% 63% 88% M 6% 13% 31% 31% 13% I 19% 6% 6% 6% 0% Table 1. 2006-07 Electrical Engineering Senior Design – S. Williams Student Group Page 13.1070.9 Program Outcomes Assessment Results: EE-407, EE
. Page 13.191.93. Donovan, M. S., Bransford, J. D. & Pellegrino, J. W. (Eds.) (1999). How People Learn: Bridging research and Practice. National Academy Press, Washington, DC.4. Kikas, E. (2004). Teachers' conceptions and misconceptions concerning natural phenomena. Journal of Research in Science Teaching, 41(5) 432-448.5. Krause, S., Decker, J., Niska, J., & Alford, T. (2002). A Materials Concept Inventory for introductory materials engineering courses, National Educators Workshop Update 2002, 17, 1-8.6. Krause, S., Decker, J. C., & Griffin, R. (2003). Using a Materials Concept Inventory to assess conceptual gain in introductory materials engineering courses. 2003 Frontiers in Education Conference Proceedings
area (Q) can be obtained using the following equation: b(h 2 / 4 / y 2 )Q? (25) 2Determination of the Principal Stresses:A square differential element of beam subjected to the normal stresses sx and sy and a shearingstress txy is shown in Figure 4. To develop the expression for the principal normal and shearingstresses acting on the element of the beam, the equation for the normal stress s and shearingstress t on an inclined plane with an angle of inclination of s are obtained first. uy A v xy ux
. In order to evaluate if curriculum help develop these skills in students, anassessment instrument is needed. A wide variety of such surveys have been developed andvalidated, although generally for settings outside engineering academia. In this research, theMiville-Guzman Universality-Diversity Scale short form (MGUDS-S) was used. It is a written15 question survey with responses on a 6-point Likert scale. It evaluates universal-diverseorientation (UDO) and has been most widely used in medical school settings. The overall UDOscore is composed of three subscales: diversity of contact, relativistic appreciation, anddiscomfort with differences. The author also added four of the Pittsburgh Freshman EngineeringAttitudes Survey (PFEAS) questions and
to remain competitive. From aregional perspective, the need for STEM graduates is critical to the future sustainability of thedevelopment of the South Texas region as a leading manufacturing hub for North America.AcknowledgementsThe authors greatly appreciate the assistance of Dr. Taylor Martin, Dr. Joan Walker, and Ms.Araceli Ortiz in the development of the background materials justifying Activity 2. The authorswould like to thank the anonymous reviewers for their valuable suggestions, which helpedimprove the exposition of the paper. In addition, the authors would like to acknowledge fundingfrom the Department of Education for the activities in this paper.Bibliography1. Barr, R. Brophy, S., Pandy, M., Petrosino, A., and Roselli, R