) (B) (C) (D) Figure 1. Example of different design stages in the mechanical shaft design project: (A) Initial design stage, (B) addition of forces and constraints for FEA, (C) stress distribution in component, (D) Shaft deformation under applied load. In order to assess the effectiveness of the project setup, the students were instructed towork in groups for the Spring 2015 class, while working individually in the Fall 2015 course.These projects had the following objectives: [1] Apply and extend the theoretical concepts learned in class regarding the design of mechanical components to a real world design problem in an interesting and challenging
, and education. The theoretical framework for this study waspositivist in nature as quantitative data was the main source for the authors’ findings. Themethods used to gather the data included: A) Likert scale perceptions survey of CS andengineering, and B) pre/post questionnaire regarding CS foundations including engineering. Anexternal evaluator collected the quantitative data and the qualitative comments on the usefulnessof the activities for K-12 classrooms and suggestions for improvement. These qualitative K-12teacher responses are shared only as support of the quantitative data. The perceptions surveyswere analyzed using the mean and distribution of responses. The pre/post content questionnaireresults were computed using standard
.” Explain a Problem Instructors looking for students to understand the reason behindsolutions to problems can opt for assigning Explain a Problem questions. Explain a Problemquestions are potentially the easiest to assign because they can be created simply by placing thewords “Explain” or “Why?” at the end of any calculation based problem. Example: “Calculatethe maximum velocity achieved by wheel A and wheel B. Explain why they are different.” Theformat of such explanations can be as detailed or simplistic as the instructor desires. How Stuff Works Assigning problems that ask students to explain how different objectswork helps students link classroom concepts to concrete objects, in turn reinforcing the real-world applications of their
dedication to teaching thesummer bridge program. We would also like to thank the Office of the Vice Provost for Inclusion andDiversity and Dean’s Office in the College of Engineering for their financial support of the program andrelated assessment activities References1 B. E. Lovitts, Leaving the ivory tower: The causes and consequences of departure from doctoral study: Rowman & Littlefield, 2001.2 W. C. Lee, "Examining the transition to engineering: A multi-case study of six diverse summer bridge program participants," 2014.3 K. Beach, "Consequential transitions: A developmental view of knowledge propagation through social organizations," Between school and work: New
Paper ID #16640Cyber-Security, Aerospace, and Secure Satellite Communications - Evolvingour ApproachMr. Jonathan Michael MercadoDr. Dale C Rowe, Brigham Young University Dr. Rowe has worked for nearly two decades in security and network architecture with a variety of in- dustries in international companies. He has provided secure enterprise architecture on both military and commercial satellite communications systems. He has also advised and trained both national and interna- tional governments on cyber-security. Since joining Brigham Young University in 2010, he has designed a variety of courses on Information Assurance
perceive engineering asan overtly hostile environment – in fact, they acknowledged the challenges but seemeddetermined to overcome them. Sheryl Sandberg’s presence at Facebook will only help.References1. Beede, D. N., Julian, T. A., Langdon, D., McKittrick, G., Khan, B., & Doms, M. E. (2011). Women in STEM: A gender gap to innovation. Economics and Statistics Administration Issue Brief, (4-11).2. Gibbons, M. T. (2009). Engineering by the numbers. ASEE [Internet]. [revised 2009:1-36. Available from http://www.asee.org/papers-and-publications/publications/college-profiles/2009-profile-engineering- statistics.pdf3. Kvale, S. Brinkmann, S. (2009). Interviews, learning the craft of qualitative research interviewing. 2nd
Secondary (Level II) Outcomes Apply math, science and engineering III a knowledge (3a) IIa Identify, formulate and solve engineering Design and conduct problems (3e) experiments (3b) III b
way of life”, Tribal College Journal, 19(4), pp.60–61, 2008.16. Slater, J., & Burson, T., “Connecting assessment to resource allocation: A demonstration project atQueens University of Charlotte”, New York, Wiley Periodicals, 2011.17. Suskie, L., “Assessing student learning: A common sense guide”, 2nd Ed., San Francisco, CA: Jossey-Bass, 2009.18. Flint, N. and Johnson, B., “Towards fairer university assessment: Recognizing the concerns ofstudents”, New York, NY: Taylor & Francis, 2011.
Transactions on Education, Vol. E-26, No. 2, May 1983, pp. 49-51.3. Crawford, M. B., Shop Class as Soulcraft: An Inquiry into the Value of Work. New York: Penguin Press, 2009.4. Olin College Olin Collaboratory: Co-Designing Transformational Education. Accessed from: http://www.olin.edu/sites/default/files/shane_walker_headshop_smaller.jpg, 2015.5. Montoya, Y., Pacheco, A., Delgado, E., Webb, I, and Vaughan, M. (2015). “Developing Leaders by Putting Students in the Curriculum Development Driver Seat,” 2015 ASEE Conference and Exposition, Seattle, WA, June 2015.6. Papert, S. Mindstorms: Children, Computers, and Powerful Ideas. New York: Basic Books, 1980.
classroom andinfluencing how information is to be conveyed to students.This paper has shared insights with regard to how technology is shaping and changing thefundamental ways in which students interact and learn. Future research should be guidedto determine next steps as to how the next generation of students can learn effectively,including the usage of interactive classroom applications,11,12 and how professors andinstructors can be certain that their teaching efforts are reaching the audience in themanner that it was intended.Bibliography1 Landis, R. B. Studying Engineering: A Road Map to a Rewarding Career. Discovery Press, Los Angeles,2013.2 Moaveni, S. Engineering Fundamentals: An Introdcution to Engineering. Cengage Learning, Boston,2016.3
is a 1993 West Point graduate. He retired from 20 years of active duty as an Air Force Bioenvironmental Engineer officer engaged in industrial hygiene, environmental health, and emergency response. His final assignment was leading a Flight of 44 military and civilian professionals to protect the occupational and environmental health of a depot base population of over 25,000 people. c American Society for Engineering Education, 2016 Values-Congruent vs. Values-Artifact Leadership: How are they Different?AbstractWith leadership being the topic of many conference presentations, we see more and moreinstitutions saying they are ‘values-driven.’ They have signs
process, (b) use of multiple sources of information, (c) interaction withpeers, (d) sufficient time for dialogue and interaction, (e) use of teacher self-ratings, (f) use ofhigh-quality feedback information, (g) examination of conceptions of teaching, and (h) setting ofimprovement goals.As will be described in the sections to follow, at Mines we set out to develop a peer teachingassessment program which relied heavily on the research described above, with the singular aimof improving teaching.Institutional ContextThe Colorado School of Mines is a small, public, engineering-focused university, withapproximately 4200 undergraduate students and 1200 graduate students. The university has twotracks for faculty: tenure/tenure-track faculty, which have
Paper ID #15257Dedicated Curriculum, Space and Faculty: M.Eng. in Technical Entrepreneur-shipDr. Michael S. Lehman, Lehigh University One will find Michael S. Lehman at the intersection of entrepreneurship, science, and higher education. Dr. Lehman is a Professor of Practice at Lehigh University, co-developing and teaching in the Master’s of Engineering in Technical Entrepreneurship, which received national recognition for its role in talent de- velopment by the University Economic Development Association. The faculty appointment also includes roles with Lehigh’s Baker Institute for Creativity, Innovation and
curriculum,” ASEE Annual Conference & Exposition, Indianapolis, IN, June 2014.9. W. G. Blass, A. Hennigar and S. Mao, “Implementation of a software-defined radio based Global Positioning System repeater,” ASEE Southeastern Section Annual Conference, Gainesville, FL, Apr. 2015.10. J. D. Bonior, S. Corum, B. McNew, A. Piras, B. Witherspoon, R. C. Qiu, N. Guo and Z. Hu, “Using software- defined radio network testbed to enhance undergraduate education and encourage graduate level studies,” in Proc. IEEE Southeastcon, Orlando, FL, March. 2012.11. F. Jiang and S. Mao, “Integration of Software-Defined Radios into undergraduate communications system courses for minority students,” ASEE Southeastern Section Annual Conference
. 13References1. Bloom, B. S.; Engelhart, M. D.; Furst, E. J.; Hill, W. H.; Krathwohl, D. R. Taxonomy of Educational Objectives: Part I, Cognitive Domain; McKay: New York, 1956.2. Willingham, D. T. (2008). Critical thinking: Why is it so hard to teach?. Arts Education Policy Review, 109(4), 21-32.3. Jacquez, R., Gude, V. G., Auzenne, M., Burnham, C., Hanson, A. T., & Garland, J. (2006). 2006-2175: integrating writing to provide context for teaching the engineering design process. 113rd ASEE Annual Conference & Exposition, Chicago.4. Jacquez, R., Gude, V. G., Hanson, A., Auzenne, M., & Williamson, S. (2007, June). Enhancing critical thinking skills of civil engineering students through supplemental
Engineering Education. Journal ofEngineering Education, 94(1), 121-130.2 Jonassen, D., Strobel, J., & Lee, C. (2006). Everyday problem solving in engineering: Lessons for engineeringeducators. Journal of Engineering Education, 95(2), 139-151.3 Incropera, F., & Fox, R. (1996). Revising a mechanical engineering curriculum: the implementation process.Journal of Engineering Education, 85(3), 233-238.4 Harris, T., & Jacobs, H. (1995). On effective methods to teach mechanical design. Journal of EngineeringEducation, 84(4), 343-349.5 Hicks, R., & Bevsek, H. (2012). Utilizing Problem-Based Learning in Qualitative Analysis Lab Experiments.Journal of Chemical Education, 89(2), 254-257.6 Kendler, B., & Grove, P. (2004). Problem-Based
their academic classwork orcareer goals and personally in their life outside of school.AcknowledgementsThis work was supported by a fellowship from the National Science Foundation STEM GK-12program “Catalyzing STEM Education via the NAE Engineering Grand Challenges”, grant#DGE-0947936 through Drexel University.” We would like to thank all Drexel GK-12partnership schools, Teachers, Fellows and project co-investigators for your support andfeedback.References1. L. D. Clive, M. A. Alice, E. Ozgur, D. F. Daniel, and J. L. Larry, "Engineering Design Thinking, Teaching, and Learning," Journal of Engineering Education, vol. 94, p. 103, 20052. X. S. Apedoe, B. Reynolds, M. R. Ellefson, and C. D. Schunn, "Bringing Engineering Design into High
National Conference. www.nacua.orgBlank, S., & Dorf, B. (2012). The startup owner's manual: K&S; Ranch.Boh, W. F., De-Haan, U., & Strom, R. (2012). University technology transfer through entrepreneurship: faculty and students in spinoffs. The Journal of Technology Transfer, 1-9.Carney, S. (2001). Faculty Start-Ups: The Tangled Web. Paper presented at the National Association of College and University Attorneys. www.nacua.orgCreed, C. J., Suuberg, E. M., & Crawford, G. P. (2002). Engineering Entrepreneurship: An Example of A Paradigm Shift in Engineering Education. Journal of Engineering Education, 91(2), 185-195.Duderstadt, J. J. (2001). Preparing Future Faculty For Future Universities. Paper
2015][2] Singh, B., Sellappan, N., & Kumaradhas, P. (2013). Evolution of Industrial Robots and theirApplications. International Journal of Emerging Technology and Advanced Engineering, 3 (5), 763-768.[3] Khanlari, A. (2013). Effects of Robotics on 21st Century Skills. European Scientific Journal, 9 (27), 26-36.[4] Moulton, B., & Johnson, D. (2010). Robotics education: a review of graduate profiles and researchpathways. World Transactions on Engineering and Technology Education,8 (1), 26-31.[5] Kircher, E., Girwidz, R., & Häußler, P. (2010). Schülerlabore: Lernen durch forschen und entwickeln.In Kircher, E., Girwidz, R., & Häußler, P. (ed.) Physikdidaktik, Springer Berlin Heidelberg, 799–818.[6] Hansen A
depicted in figure 1, the constant moment value is locatedbetween points B and C. The constant moment value will be used for the experimental test andanalytical calculation of the bending stress. Also, the constant shear force between points A andB or C and D will be used for experimental test and analytical calculation of the shear stress. Figure 1. Pure Bending, Shear and Bending Moment DiagramsThe bending stress is determined by Equation 1, My σbending = (1) Iwhere ‘M’ represents the bending moment, ‘y’ represents the distance from the neutral axis tothe interest cross
work.AcknowledgementsThis research was supported by a grant from the National Science Foundation (#1252372).Bibliography[1] Becker, H. & Blanche Geer (1957). “Participant observation and interviewing: A comparison.” Human Organization, 16(3): 28-32.[2] Becker, H. (1993). How I learned what a crock was. Journal of Contemporary Ethnography, 22:28-35.[3] Stevens, R. Johri, A., O’Connor, K. (2014). Professional Engineering Work. Johri, A., & Olds, B., (Eds). Cambridge Handbook of Engineering Education Research.[4] National Academy of Engineering of the National Academies (2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington D.C.: National Academies Press.[5] Stevens, R. (2000). “Divisions
for granted and do not come to auser’s mind when market researchers attempt to identify opportunities for future productimprovements and innovations. Companies, i.e., their employees, need empathy to understand thissituation and why certain experiences and performances with products are meaningful to theuser12.McDonagh13 defines empathy as “the intuitive ability to identify with other people’s thoughts andfeelings – their motivations, emotional and mental models, values, priorities, preferences, andinner conflicts”. In an engineering class the theoretical concept of empathy is probably perplexingand will be rated by the students as a very soft skill or as a psychological approach beyond (a) theboundaries of the engineering disciplines and (b
, to the best of our knowledge, a practical solution and an effective assessmentstrategy have not been adopted for emerging usage models integration such as IWMDs. Ourpedagogical hypothesis is that emerging security research (through cryptographic solutions) canbe integrated in university education considering three teaching and learning approaches; (a).Developing a respective multi-disciplinary laboratory (engineering, mathematics, andbiomedicine in particular) for both research and teaching, (b). Advancing education throughinter- and intra-university research collaborations in the aforementioned fields, and (c).Assessing the outcome through detailed benchmarks. The authors of this work are from differentand diverse backgrounds and have prior
powerful mobile devices (http://qdexapps.com). A mobile knowledge app hasbeen developed at SFSU using qdex to remotely conduct shake table experiments. This appallows users to send different control commands to the shake table and receive sensormeasurements in real-time through TCP/IP. Screenshots of the typical control interface of theapp for sine wave, sine sweep and earthquake inputs are shown in Figure 4. By pressing thedifferent input signal buttons, corresponding control elements (e.g. sliders and toggles)associated with the input signal chosen will be displayed which allow users to interact with theapp and customize the control signal to be sent. a) Sine Wave Input b) Sine Sweep Input c) Earthquake Input
ABET Outcomes and Sandbox Outcome Sandbox Outcomes 1 2 3 4 5 6 7 8 Ability to apply knowledge of mathematics, (a) science, and engineering X X Ability to design and conduct experiments, as (b) well as to analyze and interpret data X X Ability to design a system, component, or process to meet desired needs within realistic (c) constraints such as economic, environmental, X X social, political, ethical, health and safety
: (a) as guidelines for students drafting the proposal; (b) as a template for feedback from communication instructors; (c) as a structure for students giving peer review; and (d) in a modified format as a final grade sheet for the proposal.Teaching students the rhetorical moves necessary to make those tacit assumptions explicitenabled our communication instructors to guide students through a difficult bottleneck. Becausestudents working in these research labs are essentially novice engineers, they may elide thelogical progression that links their own work to a real-world problem. As communicationinstructors teach the rhetorical moves of the problem statement - focusing in particular on thefirst three, and on student
courses. The participants were given the problem on apiece of paper with no force or length dimensions, as shown in Figure 3. The layout of theproblem presented to the participants was similar to the assembled truss shown in Figure 1. A B C P D EFigure 3. Representative image of the truss given to students. Note the absence of dimensions and force magnitudes.Using think aloud protocols, the participants were asked to draw a free body diagram of the truss,verbally describe the steps necessary to determine if the
. Göbel SM, Watson SE, Lervåg A, Hulme C. 2014. Children's arithmetic development: it is number knowledge,not the approximate number sense, that counts Spring 2016 Mid-Atlantic ASEE Conference, April 8-9, 2016 GWUPsychol Sci. 2014 Mar;25(3):789-98http://www.ncbi.nlm.nih.gov/pubmed/2448240612. Lyons IM, Price GR, Vaessen A, Blomert L, Ansari D. 2014. Numerical predictors of arithmetic success ingrades 1-6. Dev Sci. 2014 Sep;17(5):714-26.http://www.ncbi.nlm.nih.gov/pubmed/2458100413. Nosworthy N, Bugden S, Archibald L, Evans B, Ansari D. 2013. A two-minute paper-and-pencil test ofsymbolic and nonsymbolic numerical magnitude processing explains variability in primary school children'sarithmetic competence. PLoS One. 2013 Jul 2;8(7
with professional characteristics affect which stage ofchange faculty are involved in, a significant regression equation was found (F(27,30) = 2.177, ρ< .05) with an R2 of .662. The following factors were found to significantly influence facultyusage of active learning: Availability of physical resources (equipment, technology, supplies, etc.) (B = -.706, p < .01) Self-confidence to implement alternative teaching techniques (B = .486, p < .01) Number of classes taught per term (B = -.508, p < .005) Number of students enrolled in the class (B = .444, p < .05)Availability of physical resources is neither a driving nor restricting force among respondentswhen they are at the pre-contemplation stage (without
job descriptions. Thus, change initiatives should assess these features prior to commencing.This assessment should lead to the development of change strategies to support individual andinstitutional characteristics that promote the use of evidence-based instructional practices.Prior to the start of a university-wide change initiative, we focus on identifying the features ofthree engineering academic departments that are likely to influence improvement in teachingpractices. This research was guided by two questions: (a) Within a doctoral-research institution,what are the characteristics of three engineering academic departments and of individuals withinan academic department that influence the improvement of teaching and learning? (b) Using