Structures, McGraw Hill, 1953.7. Ugural, A.C., Fenster, S.K., Advanced Strength and Applied Elasticity, Elsevier, 1975.8. Wang, C.T., Applied Elasticity, McGraw Hill, 1953.9. Timoshenko, S. Goodier, J.N., Theory of Elasticity, Third Edition, McGraw-Hill, 1934.10. Timoshenko, S. Gere, M.G., Theory of Elastic Stability, Second Edition, McGraw-Hill, 1961.11. Timoshenko, S., Woinowsky-Krieger, S., Theory of Plates and Shells, Second Edition, McGraw-Hill, 1959.12. Jones, R.M., Mechanics of Composite Materials, McGraw-Hill, 1975.13. Logan, D.L, A First Course in the Finite Element Method, Fifth Edition, Cengage Learning, 2016.14. Cook, R.D., Malkus, D.S., Plesha, M.E., Witt, R.J., Concepts and Applications of Finite Element Analysis, Fourth Edition
instructionalmethods to maintain students’ interest in the topic(s) beyond the 15 minutes.Inductive teaching and active learning have been acknowledged as efficient instructionalstrategies that increase undergraduate student performance as well as their interests in science,technology, engineering, and mathematics (STEM) disciplines [7]. Inductive teaching usesexperiments, case studies, and real-word problems as challenges to stimulate students’ interestsin the course material and encourage the students to approach to higher level of learning domain[5]. Active learning is defined as instructional methods that engage students in the learningprocess through interactive learning activities in class [8]. Hake [9] compared the results ofconceptual understanding
the FBD instrument to be given in fall of 2017.Bibliography1. Gentner, D, & Stevens, A. L. (1983) Mental models, Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.2. Reference (added once final information is included)3. Duit, R. (2009). Bibliography – Students' and teachers' conceptions and science education (STCSE), Retrieved January 17, 2011, from http://www.ipn.uni-kiel.de/aktuell/stcse/stcse4. Hestenes, D., Wells, M., & Swackhamer, G. (1992). Force concept inventory. The Physics Teacher, 30(3): 141- 151.5. Danielson, S., Kadlowec, J., Mehta, S., Masters, C., Magill, M., and Steadman, S. (2005). Work in progress – A statics skills inventory. Proceedings of the 2005 Frontiers in Education Conference.6. Steif, P. (2004
utilization of the plots by adesign engineer (see supplemental section S.1 for full project description). The purpose of this design project was to give students an opportunity to compute thedistribution of safety factor over a changing design parameter, and make engineering decisionsbased on the information obtained. For this project students were expected to use concepts theylearned in previous classes (specifically statics, solid mechanics and computational methods). Figure 1: Picture of scenario for Design Project 1 showing a crate supported by three cables.Project 2 – Kinematics of a Linkage System The second design project involved a kinematic analysis of a linkage system. The projectwas done in the context of the practical
. All weretransitioning to a four-year institution from a two-year institution. Three were transitioning to theuniversity in which the REU program was held with another transitioning to a differentuniversity. Two participants were sophomores, and two were juniors. The community collegeparticipants fields of study were; Civil Engineering, Computer Engineering, MechanicalEngineering, and Aerospace Engineering.The pre- and post-surveys focused on topics such as engineering self-efficacy, feelings ofinclusion, career success, engineering creativity, and global kinship based on Assessing Womenand Men in Engineering (AWE)’s Longitudinal Assessment of Engineering Self-Efficacy(LAESE) assessment design [6] as well as Ragusa [7] literature. The data
Excel asthe second-best choice as explained by the participant in Figure 4 below. Figure 4. P1’s “overall” software choice for solving OR concepts (1)-(5).Changing the use of software package from Lingo to Matlab when linear programming changes to non-linearprogramming is an important outcome of this study; even though students learn multiple software packages tosolve a variety of problems, their ability to critically choose which program to be used when and how is avaluable experience for them. Participant P2 indicated Excel to be his/her favorite software to be used for ORapplications due to its ease of use, his/her choices to solve OR questions was a combination of Excel, Lingo andMatlab. A surprising aspect of P2’s response is
consistent with the ones presented in this paper.All of the above seem to indicate that the active learning PBH should improve the classperformance, reducing the number of students failing the class, and as a consequence, increasingretention and graduation rates as well.References[1] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett and M. K. Norman, “HowLearning Works: 7 Research-based Principles for Smart Teaching,” San Francisco, CA: Jossey-Bass, 2010.[2] R. Zaurin, "Preparing the Engineering Student for Success with IDEAS: A Second YearExperiential Learning Activity for Large-size Classes," in Proceedings of the ASEE AnnualConference & Exposition, https://peer.asee.org/30886, Salt Lake City, Utah, 2018.[3] X. Chen, "Students
and engagement in a health professions school," Journal of Academic Medicine, vol. 89, no. 2, pp. 236-243, 2014.[7] J. Subbiah, "Using Just-in-Time Teaching in a Flipped Undergraduate Biological Systems Engineering Course," in "Discipline-Based Education Research Group," University of Nebraska- Lincoln Digital Commons 2016, vol. 94.[8] H. Fredriksen, S. Hadjerrouit, J. Monaghan, and R. J. Rensaa, "Exploring tensions in a mathematical course for engineers utilizing a flipped classroom approach," in CERME 10, 2017.[9] S. J. DeLozier and M. G. Rhodes, "Flipped classrooms: a review of key ideas and recommendations for practice," Journal of Educational Psychology Review, vol. 29, no. 1, pp
WNodes number 60 Mobility model Random-WaypointRouting protocol DSR Propagation model Rayleigh fadingMAC protocol 802.11 Carrier Frequency 2.4 GHzPacket size 512 bytes Speed 1-20 m/s - Only when channel quality was considered - When both, the channel quality and the residual power of the nodes were considered. (SP-DSR).The average end-to-end delay is the cumulative of all possible delays in the links and the nodes.Traditional DSR has higher delays, due to the buffering delays of route recoveries and theretransmission delays at the link layer. SP-DSR has the best end-to-end delay
experiences and influence of learning style preferences on user intentions regarding MOOCs. British Journal of Educational Technology, 46(3), 528–541. https://doi.org/10.1111/bjet.12275Evans, B. J., Baker, R. B., & Dee, T. S. (2016). Persistence patterns in massive open online courses (MOOCs). Journal of Higher Education, 87(2), 206–242. https://doi.org/10.1353/jhe.2016.0006Eynon, R., & Gillani, N. (2014). Communication patterns in massively open online courses. The Internet and Higher Education. 23. 18-26. doi:https://doi.org/10.1016/j.iheduc.2014.05.004.Feng, L., Jiang, H., Wang, J., 446485189@qq.com, & Gong, Y. (2018). Design, implementation and evaluation of MOOCs and DBL‐based cross
[14]. Code-level hardening is also employed tomake it difficult for attackers from easily discovering vulnerabilities in the code, as well as to protectthe program owner’s intellectual property [15].Hardening can also refer to practices that make the original source code of an application moredifficult to understand. This is generally defined as code obfuscation. The practice of codeobfuscation in modern software engineering dates back to the 1980’s, with small competitions heldto transform simple C code into confusing, abstract puzzles difficult for humans to parse andunderstand [16].Since the 1980’s, literature on code-level obfuscation has been consistent but generally sparse. Thisfield of research is relatively small, with no more than
National Science Foundation under Award No. 1833869.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.References[1] R. W. Lent, S. D. Brown, and G. Hackett, G., “Social cognitive career theory”, Career choice and development, vol. 4, pp. 255-311, Oct 2002.[2] D. K. Gosser, M. Cracolice, J. A. Kampmeier, V. Roth, V. S. Strozak, and P. Varma-Nelson Peer-led team learning: A guidebook. Upper Saddle River, NJ: Prentice Hall, 2001.[3] D. W. Johnson, R. T. Johnson, and K. A. Smith, Active learning: cooperation in the college classroom. Edina, MN: Interaction Book Company, 1991.[4] J. Y. Chan and C. F. Bauer
. Electrical Engineering and Information Technology, Vienna University of Technology M. S. Physics, University of Vienna M. S. Education Physics and Mathematics, University of Vienna Research Interests: Computer Science Education, Physics Simulation, Applied Computing c American Society for Engineering Education, 2020 Deep Learning for AgricultureAbstract. The global population is estimated to reach 8 billion by 2023 [1]. To feed such animmense population in a sustainable way, while also enabling farmers to make a living, requiresthe modernization of production methods in agriculture. In recent years there has been a lot ofexcitement in academic research and industry about the
some of thefields defined by LOM (Learning Object Metadata) [8] and add new fields that are specificallyrelated to online laboratories such as: title, type_of_lab a, activity(s), among others. Table 1presents the data that the professor who creates it gives us so the system can classify it in one ofthe galleries. Field Name Field data Description Mandatory / type Optional title String Unique title for the lab Mandatory purpose String Description of the purpose of the lab Optional topic(s) String[] Topics covered in
engineering.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1920421. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Science Board, "NSB-2018-2, Science and Engineering Indicators 2018," National Science Foundation, Arlington, VA, 2018. [Online]. Available: https://www.nsf.gov/statistics/indicators[2] D. E. Chubin, G. S. May, and E. L. Babco, "Diversifying the engineering workforce," Journal of Engineering Education, vol. 94, no. 1, pp. 73-86, 2005, doi: https://doi.org/10.1002/j.2168-9830.2005.tb00830.x.[3] Q. Clark
behavioral skills include: questioning,observing, networking, and experimenting s [2]. Critical thinking is then used to formassociations between content, effectively linking ideas/processes/solutions together which helpsinnovators generate new uses for existing technologies modification to existing technologies thatcan improve the effectiveness [3].One of the recent strategic initiatives of [our] University is promoting innovation andentrepreneurship, specifically within the engineering majors. Evaluating Innovation: Fixtures,Fads, and Flops was developed to create a cornerstone experience that infuse innovation andentrepreneurship into the first-year in an intentional way, integrated as a new course offering tofulfill an existing general education
Based Learning (PBL) with thecaveat that individual students define their own problem and work toward their own goal(s) inthe studio.Studio learning outside of engineering (art/design, architecture, drama, etc.) is often focused onteaching procedural skills (e.g., specific techniques, approaches, tools, and media) usingconcepts and ideas to establish the conditions, examples, and inspirations that spark creativityand exploration. Applying this to engineering subject matter requires a different approach where,in studio learning, Dinham considers a distinction between the educator as “controller-of-information” versus as “orchestrator”[8]. Taking lead from Dinham’s general recommendations,the following guidelines listed by the Eberly Center were
instructor is incharge of presenting a clarification of the appeal during the next session.Multiple Application Activities: Besides tRAT, this part is considered the most important part ofthe session. Here, teams apply the gained knowledge to solve carefully designed applicationactivities. These activities are designed following the well-known 4-S Framework, i.e. SignificantProblem, Same Problem, Specific Choice and Simultaneous Report. Michaelsen [13] describesthe 4-S approach as follows: a. Address a significant problem that demonstrates a use of a particular concept. b. Make a specific choice among clear alternatives. c. Work on the same problem as other teams, so each team will care about the conclusions and rationales of the other
prioritize what to review for the exam.Works Cited[1] M. Prince and R. Felder, "Inductive teaching and learning methods: Definitions, comparisons, and research bases," Journal of Engineering Education, vol. 95, no. 2, pp. 123-138, 2006.[2] L. Benson, M. Orr, S. Biggers, W. Moss and S. Schiff, "Student-Centered Active Cooperative Learning in Engineering," International Journal of Engineering Education, vol. 26, no. 5, pp. 1097- 1110, 2010.[3] R. Beichner, J. Saul and D. Abbot, "Student Centered Activities for Large Wnrollment Undergraduate Programs (SCALE-UP) project," in Research Based Reform of University Physics, College Park, MD, American Association of Physics Teachers.[4] H. Oliver-Hoyo and R. Beichner, "SCALE-UP: Bringing
uploaded to Slic3r software where is a tool that converts digital 3D models into printinginstruction and customize printing parameters such as tool path, fill pattern, etc. as shown in Figure2(b). General printing layer pattern such as zigzag will decrease tensile strength perpendicular tobuild axis and poor surface finish in order for dynamic testing. Therefore, a concentric fill patternwas set up using Slic3r software to maximize tensile strength for dynamic load frame testing. Thesaved file was then loaded to Cura software to run 3D printer as shown in Figure 2(c). For theprinting parameter, the film is printed at 220 °C of nozzle temperature, 50 °C of heating bedtemperature, and 15 mm/s of extrusion speed. Final film was 0.55 mm in thickness
-BasedManufacturing Education in Florida,” ASEE, 2017 Annual Conference, June 2017, as retrievedfrom file:///C:/Users/smartin29/Downloads/0_2017_growth_credentials_asee_paper.pdf.[2] H. Sirkin, M. Zinser, and D. Hohner, “Made in America, again: Why manufacturing will return to the U.S.,” Technical report, The Boston Consulting Group, August 2011.[3] D. Kurtzelen, “Report: America lost 2.7 million jobs to China in 10 years,” U. S. News, Aug.24, 2012, [Online]. Available: https://www.usnews.com/news/articles/2012/08/24/report-america-lost-27-million-jobs- to-china-in-10-years[4] S. Slater and J. Narver, (1995). Market orientation and the learning organization. Journal of Marketing, 59, 63-74.[5] Society of Manufacturing
for an Electric Circuits course :Rationale and fundamental topics,” in Proceedings of 2010 IEEE International Symposium onCircuits and Systems, pp. 2804–2807, 2010.[4] Wang, Tianyu, and Thomas Andre. "Conceptual change text versus traditional text andapplication questions versus no questions in learning about electricity." Contemporaryeducational psychology 16, no. 2: 103-116, 1991.[5] Engelhardt, P. V, and Beichner, R. J. Students' understanding of direct current resistiveelectrical circuits. Am. J. Phys., 72, 98-115, 2004.[6] Kapartzianis, A., and Kriek, J. Conceptual Change Activities Alleviating Misconceptionsabout Electrical Circuits. Journal of Baltic Science Education, 13(3), 2014.[7] Bull, S., Jackson, T. J., and Lancaster, M. J
students at HBCUs, foster engineering education research competence withinHBCUs, and add to current literature and information regarding supportive practices forbroadening participation and persistence of engineering students.Methods The researchers implemented an iterative, descriptive research model by including thefollowing steps: (a) engaging research participants; (b) developing data collection strategies; (c)defining variables and constructs; and (d) gathering information and investigating researchquestion(s). The present research study findings are informed by quantitative data analyticsstrand of the larger study.Participants Participants were recruited from four different HBCUs in the United States. Participantsincluded the
able to answer correctly all the technical questions. It is concluded thatimproving the simulation tutorials, changing the mode of tutorial sessions from face-to-face toonline sessions and changing the quizzes from voluntary to graded quizzes could help to furtherboost the learning outcomes and the direct assessment results.References:1. http://www.thesolarfoundation.org/national/2. http://fortune.com/2017/02/07/us-solar-jobs-2016/3. S. Das, K. C. Mandal, and R. N. Bhattacharya, “Earth-Abundant Cu2ZnSn(S,Se)4 (CZTSSe) Solar Cells”, Semiconductor Materials for Solar Photovoltaic Cells, Springer Series in Materials Science, Vol. 218, pp. 25-74, 2015 (ISBN: 978-3-319-20330-0).4. S. Das, R. N. Bhattacharya, and K. C. Mandal, “Performance
strain.BackgroundThe ability for universities and other academic institutions to teach inter-disciplinary engineeringeffectively has increased over the past few decades. An example of this is shown in the progressmade in several studies by Marasco. In each of the studies it was found that when two or moredisciplines were implemented into the curriculum in order to teach the students a subject, thestudents actually learned the material better than if the subject was taught by itself [6]. In anotherthesis presented by Rigby, it was found that when students were presented with multiplerepresentations, or multiple sides of the same concept(s), that the students had a betterunderstanding of an ill-defined concept [8]. A summary of inter-disciplinary
., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning:Testing the linkages. Research in higher education, 47(1), 1-32.Filak, V. F., & Sheldon, K. M. (2008). Teacher support, student motivation, student needsatisfaction, and college teacher course evaluations: Testing a sequential path model.Educational Psychology, 28(6), 711-724.Flynn, D. (2014). Baccalaureate attainment of college students at 4-year institutions as a functionof student engagement behaviors: Social and academic student engagement behaviors matter.Research in higher education, 55(5), 467-493.Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of theconcept, state of the evidence. Review of educational
feasible and would be accepted by the students.References[1] A. Jones, “Evaluation of Canvas-Based Online Homework for Engineering,” presented at the 2017 ASEE Annual Conference & Exposition, 2017.[2] A. Striegel, “Distance education and its impact on computer engineering laboratories,” in Frontiers in Education Conference, 2001. 31st Annual, 2001, vol. 2, p. F2D–4.[3] S. H. Johnson, W. L. Luyben, and D. L. Talhelm, “Undergraduate interdisciplinary controls laboratory,” J. Eng. Educ., vol. 84, no. 2, pp. 133–136, 1995.[4] D. J. Olinger and J. C. Hermanson, “Integrated Thermal-Fluid Experiments in WPI’s Discovery Classroom,” J. Eng. Educ., vol. 91, no. 2, pp. 239–243, 2002.[5] A. M. Okamura, R. Christopher, and M. R. Cutkosky
familiar estimationof standard deviation from range values. Although the Tabular Method is simple to use, it hassome disadvantages4. First, the range estimation of standard deviation is an approximation and issometimes inefficient. Second, it is sometimes desirable to obtain confidence intervals on thesources of measurement variation5, and that is not easily accomplished with the Tabular Method.Third, a gage capability study is truly a designed experiment so the principles of goodexperimental analysis should be applied. It is noteworthy the D. Montgomery, a leading author inthe field of quality control, has removed the Tabular Method from recent editions of histextbook(s).The later Design of Experiment Method applies those good principles of
on our strongpower program with a high national and international reputation in education and research andusing a grant funding from the National Science Foundation’s Scholarships in STEM (S-STEM)program, we establish a scholarship program for recruitment, retention, and mentoring of futurepower engineering leaders in electric energy and smart grid. Our specific objectives are toincrease the number of students in the following groups in power engineering by 50%: (i)Bachelor’s, (ii) Master’s, (iii) underrepresented minorities, and (iv) women, by providingopportunities for lower division students, community college students, and four-year universitystudents to study in Bachelor’s and Master’s degrees.IntroductionIt is well recognized
helpthem transition into these jobs. We plan to add more services and recruit customers to providemore real-world clients. We are measuring the impact of these jobs on the youth’s technical skilldevelopment and identity as an engineer. The strategies employed in this research to create asuccessful print shop can be replicated in many other formal and informal making programs(including high schools, libraries, and other maker spaces).References 1. Blikstein, P. and Krannich, D. (2013). The Makers’ Movement and Fablabs in Education: Experiences, Technologies, and Research. Interaction Design and Children ‘13, 613–616. 2. Buehler, E., Grimes, S., Grimes, S., and Hurst, A. Investigating 3d printing education with youth designers and