, pp.305-308, Apr. 2013.[5] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor,, H. Jordt, and M. P. Wenderoth, “Active learning increases student performance in science, engineering, and mathematics,” Proc. National Academy of Sciences, vol. 111, pp. 8410–8415, June 2014.[6] I. Han and J. B. Black, “Incorporating haptic feedback in simulation for learning physics,” Computers & Education, vol. 57, pp.2281-2290, Dec. 2011.[7] T. Wiesner, and W. Lan, “Comparison of student learning in physical and simulated unit operations experiments,” J. Engineering Education, vol. 93, pp.195-204, July 2004.[8] L. M. Triona and D. Klahr, “Point and click or drag and heft: Comparing the influence of
! Area-Moment !T EnergyMethod Singularity Function E !S&$ !S*T !T + !U !T − !U X ! = ± ( )X +PTU 2 2 Figure 3. Main Flow of the Knowledge Apps - Common Concept Map [17]To make the course materials more accessible
/ Flip w/ Blended Flip Quade’s Effect Blended Flip Adaptive Adaptive Test Size Dem Average Percentage (Adjusted) p d* Sample Size Group (s) All 63.0 65.1 63.5 0.949 0.13 126 88 83 (16.1) (16.1) (16.1) Female 65.5 60.5 61.2 0.513 -0.29 20
, thisintroduction included basic soldering iron safety rules. Students worked in groups of three: twohigh school students with one trained undergraduate or graduate student. These three studentsadapted one toy together, with the trained undergraduate or graduate student guiding the processbut allowing the high school students to do the hands-on work and problem solve through theprocess.Definition of racial and ethnic minority groupsIn regards to the definition of URM in high school enrollment (as listed above for two highschools), the Washington State Office of Superintendent of Public Instruction identifiesHispanic/Latino of any race(s), American Indian/Alaskan Native, Black/African American, andNative Hawaiian/Other Pacific Islander [23]. Additionally
leadership theoryin engineers’ professional identities,” Leadership, vol. 11, no. 3, pp. 351–373, 2015.[10] G. Warnick, J. Schmidt, and A. Bowden, “An experiential learning approach to developleadership competencies in engineering and technology students,” presented at the ASEE AnnualConference and Exposition, Indianapolis, 2014.[11] O. Pierrakos, M. Borrego, and J. Lo, “Assessing learning outcomes of senior mechanicalengineers in a capstone design experience,” in American Society for Engineering EducationAnnual Conference & Exposition, Honolulu, HI, 2007.[12] K. S. Cameron, R. E. Quinn, J. DeGraff, and A. V. Thakor, Competing Values Leadership,2nd ed. Northampton, MA: Edward Elgar Publishing, Inc., 2014.[13] K. A. Lawrence, P. Lenk, and R. E
research and to aid in thebetterment of engineering educator’s approach to teaching MOS courses.Current State of Research Data is currently being collected as per the above methodology. Preliminary data analysiswill be available in time for the 2018 ASEE Annual Conference. References[1] K. Ryan and A. Kirn, "Active learning and engagement in mechanics of solids," in 2015, .[2] J. Liu, "The Analogy Study Method in Engineering Mechanics," International Journal ofMechanical Engineering Education, vol. 41, (2), pp. 136-145, 2013. Available:http://journals.sagepub.com/doi/full/10.7227/IJMEE.41.2.6. DOI: 10.7227/IJMEE.41.2.6.[3] D. Montfort, S. Brown and D. Pollock, "An Investigation of Students
Classroom in a ComputerProgramming Course”, Journal of College Science Teaching, 2018.[4] D. Berrett, “How “flipping” the classroom can improve the traditional lecture,” The Chronicle ofHigher Education, 2012. Retrieved from http://chronicle.com/article/How-Flipping-theClassroom/130857/, Last Accessed: February 04, 2018.[5] E. Huber and A. Werner, “A review of the literature on flipping the STEM classroom:Preliminary findings,” In S. Barker, S. Dawson, A. Pardo, and C. Colvin (Eds.), Show Me TheLearning, Proceedings ASCILITE 2016 Adelaide, 2016. pp. 267-274.[6] “Flipped classrooms turning STEM education upside down.”Retrieved from http://news.psu.edu/story/413452/2016/06/06/academics/flipped-classrooms-turning-stem-education-upside-down Last
averages. For the ID category,students in both Class Sections performed very well (minimum 81.5%) with 2.9% difference.Moreover, the Foundation Systems (FS) category assessment suffered in both sections, wheremany students did not place any foundation system for their structure. While some studentsplaced the foundation, it was incomplete, and/or the standards and codes were not adequatelyreflected. For the Floor Systems & Reflected Ceiling Plan (FSRCP), 3.3% difference in theaverage was evident. Moreover, it must be noted that many elements in this category wasmissing from both Class Sections. For the Roof/Roof Plan (RRP) category both class sectionsperformed very well (93.5%, minimum). For the Section (S) category, at least one student in Cl
biomedical engineering capstone design sequence at Rose-Hulman Institute of Technology. Glen’s educational research interests include student learning styles, increasing student engagement with hands- on activities, and more recently, creativity & design. He has received an NSF CAREER award and served as a Fellow at the National Effective Teaching Institute. c American Society for Engineering Education, 2018 A Foundational Engineering Science Course and Its Impact on Those Who Teach ItCurricular innovations are difficult to implement and sustain. Many innovations were developedthrough the NSF-funded Engineering Education Coalitions in the early 1990’s
toConstruction Material tab for them to acquire related knowledge. Similar to what hasbeen discussed above, only if students have both questions correct and click the“Construct” button, two illustrations for simulating the construction sequence of thebottom layer of a sluice gate appear on the right (Figure 11b).The Construction Process Simulation – Middle Layer, Construction Process Simulation –Top Layer, and Construction Process Simulation – Finish tabs follow the same pattern asthe Construction Process Simulation – Bottom Layer tab, where there are two Textboxesfor displaying questions, two Combo boxes for displaying multiple options, and one ortwo illustration(s) for simulating the construction sequence of a sluice gate (Figure 12).“Recommendation
doingspatial reasoning tasks, so it is possible that this extra time is a contributing factor in the reportedgains. On the other hand, students gained substantially simply by taking the class, so the benefitsof the app on its own are not clear.Another direction for further research should focus on additional development of the app.Possibilities include adaptive presentation of lessons based on student progress, further use ofgamification to enhance motivation and engagement, and building assessment into the app itself.References[1] S. Sorby, B. Casey, N. Veurink, and A. Dulaney, “The role of spatial training in improvingspatial and calculus performance in engineering students,” Learning and Individual Differences,vol. 26, pp. 20–29, 2013.[2] O. Ha
Hall, Englewood Cliffs, N.J., 1984.[5] J. N. Harb, S. O. Durrant, and R. E. Terry, ”Use of the Kolb Learning Cycle and the 4MAT System in Engineering in Education,” Journal of Engineering Education, Vol. 82, April 1993, pp. 70-77.[6] J. N.Harb, R. E. Terry, P. K. Hurt, and K. J. Williamson, Teaching Through the Cycle: Application of Learning Style Theory to Engineering Education at Brigham Young University, 2nd Edition, Brigham Young University Press, 1995.[7] L. E. Ortiz and E. M. Bachofen, “An Experience in Teaching Structures in Aeronautical, Mechanical and Civil Engineering, Applying the Experimental Methodology,” 2001 American Society for Engineering Education Annual Conference & Exposition
opportunitiesManagement construction site Assignment requiring research on Industrial Construction-related surveying Project examplesReferences[1] Overstreet, S., “Developing America’s Next Generation of Electric Utility Professionals,” presented at2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/28138[2] Anderson, M. S. 2001. “The complex relations between the academy and industry: Views from theliterature,” Journal of Higher Education (72:2), pp. 226–246.[3] Taratukhin, V., & Kupriyanov, Y. V., & Becker, J. (2016, June), “Towards a Framework forEducational
expressed in thispaper are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References:[1] Crawley, E.F., Malmqvist, J., Östlund, S., Brodeur, D.R., and Edström, K., "Historical accounts of engineering education", Rethinking engineering education, pp. 231-255, Springer, 2014.[2] Nicholls, J.G.," Achievement motivation: Conceptions of ability, subjective experience, task choice, and performance", Psychological review Vol. 91, No. 3, pp. 328, 1984.[3] Weiner, B.," An attribution theory of motivation and emotion", Series in Clinical & Community Psychology: Achievement, Stress, & Anxiety, 1982.[4] Schunk, D.H.," Introduction to the special section on motivation and efficacy", Journal of
Paper ID #21590Applying Active Learning to an Introductory Aeronautics ClassDr. Kenneth W. Van Treuren, Baylor University Ken Van Treuren is an Associate Professor in the Department of Engineering at Baylor University. He received his B. S. in Aeronautical Engineering from the USAF Academy in Colorado Springs, Colorado and his M. S. in Engineering from Princeton University in Princeton, New Jersey. After serving as USAF pilot in KC-135 and KC-10 aircraft, he completed his DPhil in Engineering Sciences at the University of Oxford, United Kingdom and returned to the USAF Academy to teach heat transfer and propulsion systems
interpretation of the outcomes. A study to compare and contrast preparednessfor math graded events versus that of other subjects would also be useful. Asking similar-typequestions before and after graded events that are more specific to confidence and preparednesswould also provide a beneficial perspective. Finally, alternative classification schemes may beexamined to identify other patterns between confidence and academic performance.7. Acknowledgement: The views expressed in this paper are those of the authors, and do notrepresent the official policy or position of the United States Army, the Department of Defense, orthe United States Military Academy.8. References[1] S. Austin, The paradox of Socratic ignorance (how to know that you don’t know
iteration, but we hope to start converging towards a new instructional modelthat better serves and retains a more diverse group of students, especially students fromunderprepared backgrounds.Traditionally, the first day of classes was spent attending to typical first-day-of-classhousekeeping business as well as speaking about hardware and software and introducing thebinary number system. Next came an introduction to Linux (since in order to minimizeinstallation issues and related troubleshooting, we have students program on our remote servers),more on binary numbers, including the 2’s complement representation, the hexadecimal numbersystem, etc. By the end of the first week of classes, the first program involving simple user input,a computation and
what the right cross sectionshould look like. Consequently, Tanner’s response was coded as mental action.Guessing. Responses that used the word “guess” or explained that the student arrived at aconclusion by chance or without showing evidence of deliberate reasoning were classified asguessing. For instance, Mia responded with, “No, I just guessed on each question.” In this case,she specifically had “guess” in her response. The other students’ who responses involvedguessing also reported using other strategies. These are further discussed in the section oncombined strategies below.Guiding rule. Guiding rule implies that in the participant responses, the student(s) used astandard or criteria to judge which option is likely to be the answer for
variation within the same item such as the moisture level, density of materialinside the package such as soil material and temperature.References[1] G. Aryal, K. Chanda, & L. Mapa. Statistical Analysis of the Effect of Temperature on RFIDTag Readability. Mechatronics 2010 Swiss Federal Institute of Technology ETH, Zurich,Switzerland, 2010[2] L. Mapa, & S. J. Khan. Radio Frequency Identification (RFID) Tag Detection in 3-D.Proceedings of the 2016 American Society for Engineering Education Annual Conference &Exposition, June 26-29, 2016, New Orleans, Louisiana[3] T. Kim, L. Mapa, D. Ramamurthy and F. Goni (2017) Investigating the effect of temperaturein RFID Technology, ASEE, 2017, Paper ID # 18531.[4] L. Mapa, & R. Gummereddy. Effect
empowered by anunderstanding of the basic underlying physical meaning of the design equations and methods, theywill be much better equipped to tackle updated versions throughout their careers.The author has approached lectures in this way with excellent feedback from students. Examplestudent feedback include comments like: “[the instructor] explains complicated topics and concepts using pictures, drawings and example[s]…” “… [the instructor] tries to make everyone think about the concept behind the equations, instead of just plugging and chugging numbers…” “… [the instructor] encourages students to graph and look at trends and realize what is actually going on…” “Does a good job teaching concepts and how material applies
actuators.This engineering analysis of the simulator will function to increase exposure to principles ofaircraft design to both technical and non-technical students alike. The simulator is tailor-made toaccompany our university's Aircraft Design course. By pairing the our simulator with the courseengineering students will be able to learn about aircraft design, create their custom airplane usingX-Plane 11’s plane maker software, and then experience flying it on our simulator. Thisimmediate, immersive feedback enriches the students' knowledge of aircraft design and increasesinterest in the topic. Additionally, the portable design of the simulator enables the system toserve as an exciting advertisement to pre-college students considering the world of
-Champaign; Center for Information Assurance Education and Research (CIAER) [16]. 6. University of Pittsburgh; Laboratory for Education and Research on Security Assured Information Systems (LERSAIS) [17]. 7. Syracuse University; Center for Advanced Systems and Engineering (CASE) [18]. 8. George Mason University; Center for Secure Information Systems (CSIS) [19], Center for Assurance Research & Engineering (CARE) [20]. 9. University of California-Davis; Computer Security Lab (CSL) [21]. 10. University of Texas at San Antonio; Center for Education and Research in Information and Infrastructure Security (CERI²S) [22], Center for Security and Privacy Enhanced Cloud Computing (C-SPECC) [23] & Center for
education: principal forms, educational objectives, and disciplinary variations. Studies in Higher Education, 2013. 38(9): p. 1239-1258.7. Kotys-Schwartz, D., D. Knight, and G. Pawlas. First-year and capstone design projects: Is the bookend curriculum approach effective for skill gain? in American Society for Engineering Education. 2010. American Society for Engineering Education.8. Freeman, S., S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, et al., Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 2014. 111(23): p. 8410-8415.9. Savage, R.N., K.C. Chen, and L. Vanasupa, Integrating project-based learning
education, and educational psychology, as well as an external evaluator and an advisory board member on several NSF-funded projects (CAREER, iCorps, REU, RIEF, etc.). c American Society for Engineering Education, 2018 Paper ID #23514Dr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engi- neering @ Texas
activity conducted over two consecutive course periods, students, in teams, choosefrom a list of articles about different types of technologies, such as a bridge, a GPS app, airconditioning in office buildings, and airbags. Many of the articles were non-academic includingsome blogs. Our intent here was to push students to not only be able to discern the key points theauthor(s) raise(s) and what information and evidence (or lack thereof) is used to support theirclaims, but also critically consider what the stance of the author is and how this might havecolored his/her assumptions and viewpoint.After evaluating the article as a whole, students are asked to analyze the technology itself andcreate a single presentation slide to summarize their
ability of the instructor to know if the students areunderstanding the materials or not.ReferencesBarber, M., & Njus, D. (2007). Clicker Evolution: Seeking Intelligent Design. CBE Life Science Education, 1-8.Benson, L. C., Orr, M. K., Biggers, S. B., Moss, W. F., Ohland, M. W., & Schiff, S. D. (2010). Student-centered active, cooperative learning in engineering. International Journal of Engineering Education, 26, 1097-1110.Burton, L. (1984). Mathematical thinking: The struggle for meaning. Journal for Research in Mathematics Education, 15,3549Epstein, M. L., Epstein, B. B., & Brosvic, G. M. (2001). Immediate Feedback During Academic Testing. Rider University. Lawrenceville: Psychological Reports.Gilson, R
Their Learning and Motivation. College Student Journal, 48(4).Austin, A. M., & Gustafson, L. (2006). Impact of Course Length on Student Learning. Journal of Economics and Finance Education, 5(1), 26-37.Carbone, A., Lynch, K., Arnott, D., & Jamieson, P. (2000). Introducing a studio-based learning environment into Information Technology. Flexible Learning for a Flexible Society. Toowoomba: University of Southern Queensland.Carrington, L. G. (2010). The Impact of Course Scheduling on Student Success in Intermediate Accounting. American Journal of Business Education, 3(4), 51-60.Cattaneo, M. A., Oggenfuss, C., & Wolter, S. C. (2016). The More, the Better? The Impact of Instructional Time on Student
-efficacy (reflected in themarginal means), and also shows how the increase in Course 1’s women’s self-efficacy comesprimarily from those women who were neutral at the beginning of the course feeling moresuccessful at the end of the class.IntimidationVisually inspecting the survey results for intimidation by programming in Figs. 3, 5b, and 6b, wesee that overall women are more intimidated by programming in both courses, although thisdifference is statistically significant only for Course 2. Therefore, we cannot reject the nullhypothesis for Hypothesis 2. Interestingly, we see that men at the start of Course 2 are, onaverage, about the same as where the left off at the end of Course 1, but women are on averagemore intimidated (not statistically
to the local industries in STEM fields is also considered for future. References 1. X. Kong, K. P. Dabney, and R. H. Tai, “The Association Between Science Summer Camps and Career Interest in Science and Engineering”, International Journal of Science Education, Communication and Public Engagement, 2013. 2. M. Yilmaz, J. Ren, S. Custer, and J. Coleman, “Hands-On Summer Camp to Attract K–12 Students to Engineering Fields”, IEEE Educational Society, 2010.3. Accreditation Board for Engineering and Technology, http://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering- technology-programs-2017-20184. G. C. Weaver, K. Haghighi, D. D. Cook, C. J. Foster, S. M. Moon, P. J. Phegley, Tormoehlen, R. L
-act-is-now?cid=other-eml-alt-mip-mck-oth- 1801&hlkid=f8917367b4da4431926eb0f50b515749&hctky=1575970&hdpid=094bf139- fd76-400b-8896-e6caf6e19d81Bureau of Labor Statistics. (2017). News Release from BLS, US Department of Labor. Retrieved from https://www.bls.gov/news.release/pdf/osh.pdfCarson, R. (1962). Silent Spring, Houghton Mifflin, Boston, MACastellanos, S. (2018). Smart Elevators, Self-Driving Cars Require More Computing Power at Network’s Edge. The Wall Street Journal. Retrieved from https://blogs.wsj.com/cio/2018/01/02/smart-elevators-self-driving-cars-require-more- computing-power-at-networks-edge/Cisco. (2017). Cisco Announces $1 Billion Program for Smart Cities. Cisco the Network