physical (modeling), mathematical (discretization),and computational (implementation) errors through the use of a rigorous statistical methodknown as the design of experiments (DOE). An introduction of the methodology is presented inthe form of five specific topics: (a) the fundamentals of DOE, (b) the assumptions of modelbuilding, (c) setting objectives for an experiment, (d) selecting process input variables (factors)and output responses, and (e) weighing the objectives of the virtual experiment versus thenumber of factors identified in order to arrive at a choice of an experimental design. The methodis then specialized for FEM applications by choosing a specific objective and a subclass ofexperimental designs known as the fractional factorial
examining elements ofthe embedded contexts and support infrastructure of the learning environment.Rather than directly beginning with data collection upon starting the project, we revisited theframeworks of Person-Environment Fit (PE Fit) and Critical Race Theory set forth in theproposal. We also considered other frameworks that could be used to conceptualize what itmeans for a student to “navigate” a learning environment. These frameworks include PE Fit[2],[3, Stress-Coping [4-6], Health Care Access [7],[8], and Service Quality [9] and considerstudent navigation through four different perspectives: students as workers, people, patients, andconsumers, respectively. Combined, these frameworks’ constructs informed the development ofour conceptual
. 1, pp. 51-65, Feb. 2005 [7] D.A. Harrison, K. H. Price, and M. P. Bell, “Beyond relational demography: Time and the effects of surface-and deep-level diversity on work group cohesion,” Academy of management journal, vol. 41, no. 1, pp. 96-107, Feb. 1998. [8] R. A. Layton, M. L. Loughry, M. W. Ohland, and G. D. Ricco, “Design and Validation of a Web-Based System for Assigning Members to Teams Using Instructor-Specified Criteria,” Advances in Engineering Education, vol. 2, no. 1, 2010 [9] M. L. Loughry, M. W. Ohland, and D. J. Woehr, “Assessing teamwork skills for assurance of learning using CATME team tools,” Journal of Marketing Education, vol. 36 no. 1, pp. 5-19, Apr. 2014. [10] M. W
usingshort phrases to explain the considerations to the applicable legitimization criteria. This approachalso provides a quick resource that readers concerned about facets of the mixing can refer to asneeded. An example is provided in Appendix C. DiscussionThe exemplars we highlighted show the potential of mixed methods research in engineeringeducation and how the integrity of our methods can be strengthened. We had hoped to capture abroader perspective outside of the journals associated with the American Society for EngineeringEducation through our choice in journals, but the articles we found in the Australasian Journal ofEngineering Education did not offer much beyond what we reviewed in the Journal
the students’ codes, documentations and course feedbacks, we found that through this four-stage group programming assignment, many students demonstrated strong capability in writing network-enabled programs, designing effective and efficient algorithms for artificial intelligence and team collaboration. Some teams developed strategies beyond our expectation. In the final stage, winning teams must havebetter strategies for both network communication and artificial intelligence. Timing is a crucial factor inwinning. For example, the champion developed an adaptive strategy to achieve a higher speed in droppingpieces and sending eliminated lines to the opponent. The team measured the response time from the serverto determine how soon the next
variety ofdefinitions and forms depending on the discipline. Research shows that teams are incrediblydynamic. The descriptions of teams are continually evolving – depending on the situation,environment, and task. For the purposes of this article, the definition developed by Katzenbachand Smith [24] will be utilized: “A team is a small number of people with complementary skillswho are committed to a common purpose, performance goals, and approach for which they holdthemselves mutually accountable” (p.45). Katzenbach and Smith [24] created this definition thatgoes beyond defining a group of people who work together. Their definition is one of the mostcomprehensive definitions available in team literature. Self-managed teams (SMT) will be the
requires an approach thatgoes beyond surface-level participation where stakeholders are only involved at specifictimepoints in the process versus being democratically involved decision-makers [50]. But whatmight it mean for engineering, a field shaped by meritocracy and thus deeply wedded toexpertise begetting power, to be done democratically?A part of that process is revealing the often-erased engineering solutions existing withindesignated “non-technical” communities. Gomez-Marquz and Young through their Maker Nurseprogram have re-told the history of nurses as makers and stealth innovators [51]. Working withtechnologies that were designed without their perspectives, nurses have had to rapidly adapt andsolve issues in patient care, from
National Science Foundation through a DUE-CCLIA&I grant DUE 9950682.Bibliography1. Aylor, S., "A Look at Asynchronous Learning Network Courses as Used at Kettering University", Proc. ASEE Annual Conf., 1998.2. Katz, L. et. al., "A Multimedia Based Laboratory Course for Environmental Engineering", Proc. ASEE Annual Conf., 1998.3. Oglesby, D. et. al., "Statics On-Line: A Project Review", Proc. ASEE Annual Conf., 1998.4. Schexnayder, C. and Wiezel, A., "Construction Education Using the World Wide Web", Proc. ASEE Annual Conf., 1998.5. Allen, P. K. et. al., "The Virtual Vision Lab: A Simulated/Real Environment for Interactive Education in Robot Vision", Proc. ASEE Annual Conf., 1996.6. Lyons, J. S. and McNeill, S. R., "The Design of
; Urbano, 2012).The influence of public policy, incentives, resources, culture and institutional mission areimportant factors when examining the motivation of researchers to participate in academicentrepreneurship. They comprise many elements and initiatives beyond TTOs, that supportacademic entrepreneurs. These include business incubators and accelerators which provide talentand financial support to university startups, as well as education and training programs designedto develop intellectual and tactical knowledge that can help bring innovations to market.Although there is increasing value being placed on university-industry collaboration andcommercialization, in addition to traditional academic work, a significant challenge is gettingmore
modified if therewere to be a viable differentiation between two year and four year degree programs. It wasapparent to both the TAC Criteria Committee and the TAC Executive Committee that Criterion 3which deals with program outcomes a-k, and Criterion 5 which deals with curriculum, would Page 13.139.2need to be changed. It also appeared that the remaining six general criteria could pretty muchstay as they were and Criterion 9 dealing with program specific criteria, already makesallowance for associate degree programs versus baccalaureate degree programs.The 2008-2009 Criteria currently contains in part the following language "Program outcomesare
education, accreditationbodies like the Accreditation Board for Engineering and Technology (ABET) encourage theintegration of economic considerations throughout the engineering curriculum, suggesting thateconomic principles and analysis may be incorporated into various courses and projects forengineering students. Programs such as civil engineering include an explanation of concepts andprinciples in project management and engineering economics in student outcomes [1]. Thecurriculum must explain some, but not necessarily all, of the key concepts and principles, andthere is no obligation to assess students’ ability to explain the key concepts and principles.Most undergraduate engineering programs introduce economics through a complete course
. Exercising the K-M equation in undergraduate engineering courses couldobviously serve to improve students’ designs of physical experiments, but could also serve to getstudents to think more critically when doing any calculation with an analytical model for thepurpose of design.Conclusions:Our research indicates that relatively few engineering undergraduates are being exposed touncertainty quantification beyond using standard rules for appropriate numbers of significantfigures in a reported result. While students are quite often required to address “does the answermake sense” as a final step in a calculation, they are not generally required to include UQ in thisdiscussion. Reporting a result for E for a polymer blend as being 186 ksi sounds
AC 2012-4143: AN UNUSUAL PARTNERSHIP: TRANSPORTATION EN-GINEERING OUTREACH AND SPANISH TRANSLATION PROGRAMDr. Rema Nilakanta, Iowa State University Rema Nilakanta is the Program Coordinator of the K-12 outreach e-zines Go! and Vamos! at the Institute for Transportation at Iowa State University, Ames, Iowa. She has a Ph.D. in curriculum and instruction from Iowa State University and a master’s in German from Rice University, Houston, Texas. Nilakanta’s research interest lies in the study of technology in teaching and learning, especially in the area of designing online learning systems. She has worked extensively with faculty and teachers in STEM and non-STEM fields, students, and tech developers to research and
.Hassanpour, B., Utaberta, N., and Zaharim, A. (2010). “Redefining Critique Session as an Assessment Tool In Architecture Design Studio Class,” WSEAS Transactions on Advances in Engineering Education, 9(7).Holland, R., Parfitt, M. K., Pihlak, M, Poerschke, U., Messner, J. and Solnosky, R. (2010) “Integrated Design Courses Using BIM as the Technology Platform”, Academic Best Practices / Implementing BIM into Higher Education Curriculum, National Institute of Building Sciences, Annual Meeting / EcoBuild America Conference, December 7, 2010, Washington, DCHowlett, C., Ferreira, J.-A., and Blomfield, J. (2016). “Teaching sustainable development in higher education: Building critical, reflective thinkers through an interdisciplinary
challengesremain. Specifically, curriculum analysis shows a lot of variation between programs in terms ofhow sustainability is integrated with technical content, and students report concerns around theapplicability and relevance of existing coursework.In future work, we hope to gather data from a wider range of programs, universities andaccreditation systems, to strengthen our findings. We are also interviewing students and faculty tobetter understand their experiences, and to understand reasons behind curriculum design decisionsand their impact on student learning.References [1] K. Richardson, W. Steffen, W. Lucht, J. Bendtsen, S. E. Cornell, J. F. Donges, M. Dr¨uke, I. Fetzer, G. Bala, W. Von Bloh et al., “Earth beyond six of nine planetary
implementation. The paper first reviews someof the scholarship on sociotechnical integration, including justifications for expandingengineering education’s focus beyond technical competencies and identification of a frameworkfor thinking about different conceptions of the relationships between social and technicaldimensions of engineering practice. It then provides an overview and justification of our DesignEngineering program’s curricular structure, built around a “design spine.” Next, the paperconsiders the design of our program’s ABET assessment infrastructure and how we have usedABET requirements to ensure we hold ourselves accountable to a high-bar of sociotechnicalintegration throughout our program, with a particular focus on how we operationalize
with the chosen test also performed close to the historicalaverage on other tests given in the course. The test appears to provide a reasonably validcomparison between traditional and cooperative group achievement.References1. Johnson, D. W., Johnson, R. T., & Smith, K. A., “Cooperative Learning: Increasing College Faculty Instructional Productivity,” ASHE-ERIC Higher Education Report 18 (4), 1991.2. Johnson, D. W., Johnson, R. T., (1996). “Cooperation and the Use of Technology”. In Jonassen, D. H. (Ed.), “Handbook of Research for Educational Communications and Technology,” New York, NY: Simon & Schuster Macmillan, p. 1022.3. Johnson, D. W., Johnson, R. T., & Smith, K. A., “Maximizing Instruction Through Cooperative
://www.letmelearn.org/.8 D. Acciani, J. Courtney, C. Diao, R. Harvey, B. Pietrucha, W. Riddell, and P. Von Lockette, “Converging-diverging approach to design in the Sophomore Engineering Clinic,” Proceedings of the Annual Conference of theAmerican Society for Engineering Education, 2006.9 E. Constans, K. Dahm, J. Everett, C. Gabler, R. Harvey, L. Head, H. Zhang, J. Courtney, and D. Hutto, “Settingthe multidisciplinary scene: engineering design and communication in the “Hoistinator” project,” Proceedings ofthe Annual Conference of the American Society for Engineering Education, 2005.10 R. Harvey, “Beyond learning styles: understanding the learning processes of engineering students through theInteractive Learning Model™,” Proceedings of the Annual Conference
, basedon state space and input-output modeling approaches represents a classical Eulerianapproach to solving the problem and can be easily applied to problems of many scales.The particle simulation approach represents a Lagrangian ride through the system and isinherently difficult to apply to problems beyond the most simple. The Lagrangianapproach is also based on steady state approaches. It appears at first glance to be dynamicin that pulses or packets of energy or mass are sent through the system in a discreetfashion from some known starting state. The starting state is an arbitrary zero mass orenergy state that is admitably meaningless. The transition probabilities from one node tothe next are indeed similar to those in the transport matrix
the makerspace lab for first-year engineering students and isresponsible for designing some prototypes.Sean Hirt, School of Mechanical, Aerospace, and Manufacturing Engineering, Universityof ConnecticutSean Hirt is a 4th year Mechanical Engineering Undergraduate Student at the University ofConnecticut. He helps to maintain the makerspace lab for first-year engineering students. Work in Progress: Project-Based, Multilevel Teamwork for First-Year Engineering ProgramAbstractThe long process of educating a new generation of engineers requires more than just theprogressive accumulation of classes as students move through a departmental curriculum.Engineering education goes beyond solving equations and retaining
activities to the UW community and local K-12 students involving toy adaptation for children with disabilities. Dianne holds a PhD in Genetics from Duke University, and BS in Molecular Biology and BA in Psychology from the University of Texas at Austin.Celina Gunnarsson, Massachusetts Institute of TechnologyCamille Birch, University of Washington Camille Birch is a graduate of the Bioengineering and Computer Science departments at the University of Washington. She developed curriculum concerning the interplay of diversity and ethics for undergrad- uate engineering students at UW and is interested in the power of education to enact change in future generations of engineers. She currently works for Microsoft in the Bay Area
),instructors (n=7), and graders (n=5) completed surveys about their perceptions of the course andPROCESS. Student perceptions were modestly positive and performance data indicated studentswere able to improve their assignment performance in the course, especially for students withaverage overall grades. Instructors and graders see potential in the PROCESS rubric, andprovided insight into improving the tool. This investigation is instrumental to the improvementof students’ problem solving skills by focusing on the process as well as the final solution.Conducting assessment using a validated problem solving assessment tool will make it possibleto track learning gains through the strategic utilization of standardized data analytics.IntroductionProblem
this survey – who are all likely considered “high-achieving” students bymost academic standards as they all brought at least 8 college credits into their first semester at afour-year institution – reported believing the transition from high school to college involved anaverage 22% increase in students’ responsibility for their own learning. Considering the scenariopresented in the previous paragraph, this would theoretically being the largest jump moststudents ever experience in their educational journey – significantly larger than the incrementalincreases as students move through grade levels in their K-12 experiences. The ~20% increase instudents’ responsibility for their own learning is a number based on averages, a small data set
ethics in design through NSF funding as Co-PI. [Email: buzzanel@purdue.edu]David Torres, Purdue University, West Lafayette David is a fourth year doctoral candidate in the Brian Lamb School of Communication at Purdue Uni- versity pursuing a PhD in Organizational Communication with a minor in data analysis and research methodology. His research interests reside at the intersection of organizational communication, identity, design, and organizational ethics. c American Society for Engineering Education, 2018 Diversity and Inclusion in Electrical and Computer Engineering: Students’ Perceptions of Learning and Engaging with DifferenceIntroductionThis project explores how engineering
value of outcomesproduced by their programs to the benefit of their organizations.In 2008, the Undergraduate Student Research Project, NASA’s largest agency-wide internshipprogram, revised its student and mentor evaluations, gathering new data on outcomes whosevalue had not previously been captured. This paper presents a preliminary discussion of the datacollected through these new survey instruments. It includes data connecting the learningproduced to many of the ABET a-k demonstrated abilities criteria as well as data on the changesin professional self-image, confidence, and commitment to career path. In addition, implicationsof the metrics which can be calculated from the raw data are discussed in regards to the valueplaced on that learning
. Tohelp frame a course of action at an institutional level, we must address a fundamentalquestion: Amidst continually decreasing budgets for public higher education, how can werespond to a growing need to educate future engineering leaders by: 1. increasing and diversifying our enrollments, Page 23.847.3 2. expanding our curriculum beyond familiar terrain of technical expertise to engage cross-disciplinary synergies we don’t yet fully understand, 3. shifting our pedagogical framework to be more effective, current
communica- tion design and, recently, engineering students’ self-reported confidence levels in writing and speaking, teamwork and lifelong learning. Dr. Parker is a Life Senior Member of IEEE. S. Norma Godavari, MLIS, has been the Engineering Librarian at the University of Manitoba, well, since a goodly number of years now (+30) and never fails to be amazed at the creativity and imagination of our engineering students. We continue to learn from each other all through their formal education and even beyond sometimes. She has become involved as the liaison librarian in the Engineering Faculty, especially in the Engineering Communication course, teaching and assisting in the evolution of the course, as well as with
expertiseresides. For example, there is the attitude that educational knowledge and practice from K-12 andadult education can not be directly applicable to higher education.The visiting scholar model also relies on the assumption that most of the local audience has thesame learning needs and desires and roughly the same availability. That is, since a workshop isscheduled for a given time with a defined agenda, it is necessary that the local audience beavailable to participate. If one misses the workshop, one might have a summary or materials torely upon, or a video tape to review, but seldom would one have the chance to engage thespeaker or other participants at another time. It is also necessary that the visitor make someassumptions about where the
of a technology. Several institutions in the United States are leveraging biomedical engineeringto impact global health through using human-centered design (Richards-Kortum, Gray, and Oden 2012;Oden et al. 2010; Malkin 2007). While interdisciplinary programs in global health have the potential to yield innovative solutionsfor the SDGs, the learners of engineering design comprise a relatively small pool of students. En-gineering design curricula have traditionally been taught in a capstone course in the final year ofcollege to engineering students (Todd et al. 1995; Zhan et al. 2018), the majority of whom are male(men received approximately 80% of all undergraduate engineering degrees awarded in the US in2
devices, while applying the fundamental principles ofthermodynamics, heat transfer and fluid mechanics. One of the main assessment tools forboth courses was a student team project based on either an instructor suggested topic or a topicof their choice. Two teams (one from each course) chose their projects to be in the micro-fluidic area and also chose to expand their project work beyond the course requirements,developing the prototype of a further lab activity for further courses with same topic.Students were assessed continuously during the development of the projects. The assessmentfocused on various aspects regarding their level of understanding of the fundamental principles,and the level of applying science to an engineering technology