that needto take place in order to generate new knowledge. By the end of the module, it is anticipated thatstudents will be able to start on their project(s), although many of the items they were introducedto in this module will be developed in more depth in later ones.Module 2: Research PracticesIn the second module, the course goes into more detail on how to go about conducting research,in terms of actual activities that take place. It begins with a section on dividing projects intodistinct tasks, then covers sections on effort planning, scheduling, and effort reporting. It nextcontains sections on practices important to working with others and progressing, includingteamwork, file sharing practices, seeking help, staying on task, and
development of a low-cost cold storage system to provide farmers with more control over the delivery of fresh produceto market, increasing income through more effective market timing. The second addressed foodloss in the red chili supply chain through implementation of a system to dry chilies at the primarylevel of farming. These projects became two of the six offered in ME 170’s inaugural year.Project continuityWhile continuity/longevity was not a specific criterion for initial project selection, each teamdeveloped specific parameters for future work as part of their final deliverables. In parallel, theteaching team worked closely with the Precourt Institute and the Haas Center to identifyopportunities for students to continue their work through
developedcountries. Of course, like any institution, there are problems in producingPh.D. s efficiently. Motivation of faculty and students alike seems to 1be the key to solving these problems. The student must realize that hisoutput has to be high. The faculty member must make sure that thestudent's experience in research will be such that he can continue tomake creative contributions throughout his entire life. Even though the graduate programs are young and have many deficien-cies, there is rapid improvement, for many reasons: (a) the biblio-graphic resources are being improved; (b) local industry is becomingmore dependent on higher level technology, forcing an interest in re-search;2 (c) individual research groups are highly motivated and
. Hilliam, H. Stoneley, and M. Townend, “Quantitative Analysis of Qualitative Information From Interviews: A Systematic Literature Review,” J. Mix. Methods Res., vol. 8, no. 2, pp. 139–161, 2014.[7] H.-B. Sheu and L. Phrasavath, “Social cognitive career theory,” in Contemporary Theories of Career Development, no. January 2002, Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018, pp. 47–60.[8] R. W. Lent, S. D. Brown, and G. Hackett, “Social Cognitive Career Theory,” in Career Choice and Development, 4th ed., Jossey-Bass, 2002, pp. 255–311.[9] R. W. Lent and S. D. Brown, “On conceptualizing and assessing social cognitive constructs in career research: A measurement guide,” J. Career Assess., vol. 14
: I = industry, RRCC = Red RocksCommunity College, M = Mines, S = student/personal] –assessments and modules will initially be piloted in industry,then additional resources will be rolled out to all four settings.AcknowledgementThis material is based upon work supported by the National Science Foundation under GrantNumber 1935674. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.ReferencesAguilar, L., Walton, G., & Wieman, C. (2014). Psychological insights for improved physics teaching. Physics Today. 67(5): 43-49.Bandura, A. (1997). Self-efficacy: The Exercise of Control. W H Freeman/Times Books
furtherexpand the PBH implementation by increasing the number of project-based activities and makingthe PBH assignments a required course activity in the next semester and continue to evaluate thestudent performances. The preliminary data obtained in this study from the first round of PBHimplementation is encouraging considering these experiments were devised and completed bythe students using simple objects and items while in the middle of the COVID-19 pandemic. Theauthors will continue their efforts in improving the PBH implementation process in future studiesthrough the above mentioned measures to enhance student learning and student success rates inthe Dynamics course.References[1] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K
supplement or complementhome household assets within the classroom. Additionally, future research shouldexamine whether the effect of educational assets extends to other educational contextsfocusing on numeracy across the globe. © American Society for Engineering Education, 2021 2021 ASEE Illinois-Indiana Section Conference Proceedings | Paper ID 35169References[1] Uwezo. (2017). Are Our Children Learning? Lessons from Uwezo learning assessments from 2011 to 2015. Twaweza.[2] Heyneman, S., & Loxley, W. (1983). The effect of primary school quality on academic achievement across twenty nine high and low income countries (No. REP268; pp. 1–37). The World Bank.http://documents.worldbank.org/curated/en
; • Enabling students to find and communicate information effectively; • Improving the ability of students to reflect on their own learning history; and • Increasing the understanding of a student’s own learning strengths and weaknesses.Such sustainable learning practices are akin to the old adage that if you give a person a fish, s/hewill eat for a day, but if you teach a person to fish, s/he will eat for a lifetime (assuming the fishsupply and techniques are sustainable!).When examining the physical sustainability limits of learning systems, it is important to considerthat cognitive learning generally pertains to the acquisition, manipulation, and application ofinformation. In this context, the medium/technology through which the information
relevant information. The volume of solid, fine solid and fluid are considered64,872m3, 27,540 m3 and 92,412 m3, respectively.The density of solid, fine solid and fluid are assigned as 2650 kgm-3, 2000 kgm-3 and 1000 kgm-3.The internal and basal angle of friction for solid is assigned 25 and 8; for fine solid is 10 and4. The kinematic viscosity for fine solid and fluid phase are assigned 102 m2/s and 10-3 m2/s,respectively.ResultsFindings of field studyThe studied Kalli landslide and debris flow areas lie within the Suntar Formation of the lesserHimalaya comprising fine to medium grained green gray sandstone alternatively with purpleshale. Several micro fold with differential weathering of Shale and sandstone is observed aroundthe crown and
Task Load Index was adopted tomeasure the problem rigor. This paper will compare textbook and YouTube problems with respectto problem-solving ability and at each stage of problem solving. Furthermore, we will investigatewhether disparities exist in students’ perceptions when solving VLE problems. 2MethodsProblems considered in the current study represent part of homework sets completed by studentsin a MEB course. We considered three problems from the VLE topic — one Textbook homework(traditional homework problem) and two YouTube problems (see S.1 for problem statements).The intervention constituted of a group of 182 students (40% females) across two academic yearsfrom a large public university
spectrum analyzer for frequency-domain measurements, which is a new topic tomost of the students entering the course. The second laboratory experience in vector networkanalyzer (VNA) measurements coincides with the lecture topic on network analysis, duringwhich students learn how to calculate S-parameters of electrical two-port networks that containresistors and transmission lines. At this point in the semester, students have obtained a basicgrasp of microwave basic theory and also have learned techniques of measurement equipment.The course then turns to topics of passive circuit design. Matching networks are discussed,including two-element lumped “L-section” networks and distributed, single-stub matching networks.Agilent Technologies’ Advanced
spectrum analyzer for frequency-domain measurements, which is a new topic tomost of the students entering the course. The second laboratory experience in vector networkanalyzer (VNA) measurements coincides with the lecture topic on network analysis, duringwhich students learn how to calculate S-parameters of electrical two-port networks that containresistors and transmission lines. At this point in the semester, students have obtained a basicgrasp of microwave basic theory and also have learned techniques of measurement equipment.The course then turns to topics of passive circuit design. Matching networks are discussed,including two-element lumped “L-section” networks and distributed, single-stub matching networks.Agilent Technologies’ Advanced
over.References[1] A. C. Carius, “Teaching Practices in Mathematics During COVID-19 Pandemic: Challenges for Technological Inclusion in a Rural Brazilian School,” Am. Sci. Res. J. Eng. Technol. Sci., 2020.[2] A. Khirwadkar, S. Ibrahim Khan, J. Mgombelo, S. Ratkovic, and W. Forbes, “Reimagining Mathematics Education During the COVID-19 Pandemic,” Brock Educ. J., 2020, doi: 10.26522/brocked.v29i2.839.[3] E. M. Mulenga and J. M. Marbán, “Is covid-19 the gateway for digital learning in mathematics education?,” Contemp. Educ. Technol., 2020, doi: 10.30935/cedtech/7949.[4] J. König, D. J. Jäger-Biela, and N. Glutsch, “Adapting to online teaching during COVID- 19 school closure: teacher education and teacher
Conference on Construction and Real Estate Management, 2018, pp. 125–131.[2] N. Labonnote, A. Rønnquist, B. Manum, and P. Rüther, “Additive construction: State-of- the-art, challenges and opportunities,” Autom. Constr., vol. 72, pp. 347–366, 2016, doi: 10.1016/j.autcon.2016.08.026.[3] P. Pradhananga, M. ElZomor, and G. S. Kasabdji, “Identifying the Challenges to Adopting Robotics In the U.S. Construction Industry,” J. Constr. Eng. Manag., 2021.[4] P. Wang, P. Wu, J. Wang, H. L. Chi, and X. Wang, “A critical review of the use of virtual reality in construction engineering education and training,” Int. J. Environ. Res. Public Health, vol. 15, no. 6, 2018, doi: 10.3390/ijerph15061204.[5] A. Shepherd and B
: Theory, research, and practice, B. R. Ragins and K. E. Kram, Eds., ed Thousand Oaks, CA: Sage, 2007, pp. 3-15.[7] G. Crisp and I. Cruz, "Mentoring college students: A critical review of the literature between 1990 and 2007," Research in Higher Education, vol. 50, pp. 525-545, 2009.[8] B. R. Ragins and K. E. Kram, The handbook of mentoring at work: Theory, research, and practice: Sage Publications, 2007.[9] D. J. Levinson, The seasons of a man's life. United States: Random House LLC, 1978.[10] S. C. de Janasz and V. M. Godshalk, "The role of e-mentoring in protégés’ learning and satisfaction," Group & Organization Management, vol. 38, pp. 743-774, 2013.[11] H. Lee and S. Noh, "Educational use of E
learning. She has been awarded the Dominion Strong Men & Women Excellence in Leadership Award, Richmond Joint Engineers Council Engineer of the Year, AAAS Diplomacy Fellowship, and the NSBE Janice Lumpkin Educator of the Year Award.Dr. Afroditi Vennie Filippas, Virginia Commonwealth University Dr. Filippas received her B.S. in Electrical Engineering from the University of Patras, Greece. After earning her M. S. and Ph. D. from the University of Texas at Austin, she completed post-doctoral research with the Institute of Accelerating Systems and Applications in Athens, Greece. Post-academically, she worked for Ansoft Corporation as a research scientist spearheading the development of the next generation code for
is evident in the results presented in this paper. Ourgoal here is not to make a conclusive argument about the connection between research topics andcollaborations across universities but rather highlight that the changes in major research areas,for example, in response to funding opportunities, may play a role in connecting researchers withdifferent degrees of expertise across institutions; future research may examine suchmulti-variable relationships.References 1. Bozeman, B., Fay, D., and Slade, C.P. (2013). Research collaboration in universities and academic entrepreneurship: the-state-of-the-art, Journal of Technology Transfer, 38, 1, 1-67. 2. Jones, B.F., Wuchty, S., Uzzi, B. (2008). Multi-university research teams
these three knowledge domains into first-yearprograms. The collection of qualitative data has brought tremendous insight into the studentexperience and is something we plan to expand. And while this current qualitative study did notmeasure and compare which learning activities helped the most with the development oftransdisciplinarity among students, our findings showed that first-year engineering students’conceptual schema and perspectives diverged and transformed through their engagement withthe courses’ learning activities [23].References[1] S. Ambrose and C. Amon, "Systematic Design of a First-Year Mechanical Engineering Course at Carnegie Mellon University," Journal of Engineering Education, vol. 86, no. 2, pp. 173-181, 1997
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
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