deal with very advancedtonics limiting the audience to other professors, scientific assistants 248and upper division students. By necessity, the full professor has littleor no time to interact with students on a one-to-one basis. This inter-action is delegated to the scientific assistants (S.A.) who hold the re-citation sessions and consult, generally by appointment, with the indivi-dual student on specific questions. Laboratories are normally conductedby the graduate assistants under the supervision of an S.A. The graduateassistants also grade the laboratory reports. Written examinations areorganized, administered and evaluated by the S.A. with the helo of gra-duate assistants. S.A.'s are also the advisors
–- America will once again have the highest proportion of college graduates in the world. That is a goal that we are going to set." [7]It is in the context of a defined need for change, the call for change, and the Educating theEngineer of 2020's call for system level approach that the IRE model was developed.Rationale Supporting IRE ModelThe same sources that have called for a change in engineering education have also givendirections for this change that led to the aspects of the IRE model of student empowereddevelopment of technical and professional knowledge and competencies in context of industrysponsored project-based learning.The call for engineering education to be student empowered (or centered) development ofcompetencies is summarized in
United States in the wake of Sputnik and the scientificacc ih e f he S ie U i . F e a e, he C b Law review introducedsome students to an entirely vector description of electromagnetics problems, many of which e i ed i eg a ca c f i . Ga f a d di e ge ce theorems quickly led toP i e a i , hich d be e e ed i he h ee c c di a e e . Thedivergence theorem led to G ee fi a d ec d ide i ie , proved in detail, with the Dirichletand Neumann conditions used to derive the Uniqueness Theorem. It should be noted that in amodern course the tendency is to pass over most of the details of the proofs of these theoremsdue to the compression of a multitude of subjects into one
seems to address the issue of programming as being overly technical . With traditionalprogramming languages students are required to learn complex vocabularies and grammars, incontrast programming in Alice involves dragging and dropping of well formed and validprogram statements. Modification of these statements is done by selecting options fromdropdown menus. It is impossible to produce the dreaded compile error and very unlikely toproduce a program that doesn t run the ver first time. This eliminates of the need to memorizea vocabulary and grammar, which subsequently speeds up the opportunity to experience creativeexpression. It should also be noted that the wide selection of more than a 1000 animation objects ith tens of 1000 s of methods
sustainability of a product at a design stage; (5) Studentsbecome familiar with writing conventions of engineering journals; and (6) Students learn to workand write in multicultural and multidisciplinary teams.Few of the disadvantages that may be associated with this approach of learning are: (1) The cost ofcompleting the three credits course is higher than a normal three credit course taken at home; and(2) Increased faculty and student time is required daily to accommodate the cultural activities; tours;projects; evaluation of reports; and presentations.V. Assessment of CourseS den s Assessmen . Students are assessed on the three areas of the course: lecture/project;report/presentation; and cultural activities/tours. S de a ici a i he jec
Model for Engineering Mathematics Education,” Proceedings 2007 ASEEAnnual Conference & Exposition, Honolulu, HI, June, 2007.[3] Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D., Mercer, R., 2009, "The Wright StateModel for Engineering Mathematics Education: A Nationwide Adoption, Assessment andEvaluation," Proceedings 2009 ASEE Annual Conference & Exposition, Austin, TX. June, 2009.[4] Sodhi, J. S., Borgaonkar, A. D., Hou, E., Kam, M., An Application-Oriented Course toImprove Student Performance in Mathematics Courses, 125th Annual American Society ofEngineering Education (ASEE) Conference and Exposition, Salt Palace Convention Center, SaltLake City, UT, June 24-27, 2018.[5] Wang C., Sodhi J. S. and Borgaonkar A. D., Utilizing
amongstudents.References[1] ISO, “ISO 9241-11:2018(en) Ergonomics of human-system interaction — Part 11: Usability: Definitions and concepts,” 2018. [Online]. Available: https://www.iso.org/obp/ui/#iso:std:iso:9241:-11:dis:ed-2:v2:en.[2] J. Nielsen, “Usability Engineering,” Morgan Kaufmann Pietquin O Beaufort R, vol. 44, no. 1/2002, p. 362, 1993, doi: 10.1145/1508044.1508050.[3] V. Hegde, “Role of Human Factors / Usability Engineering in Medical Device Design,” in Proceedings-Annual reliability and Maintainability Symposium, 2013, pp. 1–5.[4] T. Saidi, C. T. Mutswangwa, and T. S. Douglas, “Design Thinking as a Complement to Human Factors Engineering for Enhancing Medical Device Usability,” Eng. Stud., vol. 11, no. 1
tacklelarge qualitative datasets, such as in making meaning from open-ended responses submitted end-of-semester by students in a large foundational engineering course during times of unprecedentedpandemic and change, truly a semester like no other!ReferencesAndersson, Eric, Christopher Dryden, and Chirag Variawa. 2018. “Methods of Applying Machine Learningto Student Feedback through Clustering and Sentiment Analysis.” In Proceedings of the CanadianEngineering Education Association (CEEA) Conference. Vancouver, BC.Bhaduri, S. (2018). NLP in Engineering Education-Demonstrating the use of Natural LanguageProcessing Techniques for Use in Engineering Education Classrooms and Research (Doctoraldissertation, Virginia Tech).Bhaduri, Sreyoshi, and Tamoghna
learning effectiveness, and we will be able to validate it through thequalitative interviews. This study will also evaluate the two questions, R11-rewrite and R12-rewrite that webrought back in from the original IMMS table and added into RIMMS and will update RIMMS asRIMMS++ if they show any significance.References ˚ Cajander, V. Kann, A. Kapoor, R. McDermott, A.-K. Peters, M. Sabin, and [1] S. Frezza, M. Daniels, A. Pears, A. C. Wallace, “Modelling competencies for computing education beyond 2020: a research based approach to defining competencies in the computing disciplines,” in Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
Conceptual Framework for Measurement Planning Integration, 14th CIRP Conference on Computer Aided Tolerancing (CAT). 3. Yuchu Qin, Qunfen Qi, Wenlong Lu, Xiaojun Liu, Paul J. Scott, Xiangqian Jiang, 2018, A review of representation models of tolerance information, the International Journal of Advanced Manufacturing Technology, Vol. 95, Issue 5–8. 4. F. Litwa, M. Gottwalda, S. Spudeikob, K. Paetzold, M.Vielhaber, 2016, Optimization coupling approach for/with non-static point-based CAT models, 14th CIRP Conference on Computer Aided Tolerancing (CAT). 5. Sayed Mohammad Hejazi, Deepanjan Biswas, Adarsh Venkiteswaran, Jami J. Shah and Joseph K., 2016, Automated 1st order Tolerancing: Schema Generation, Proceedings
with and study energetic systems and high velocity,dynamic impacts. This field often excites many of our students, and drives many of them topursue education at NMT for the availability of these classes. As a result, the course is able tosmoothly implement a project requiring students to design a space vehicle shield capable ofprotecting critical components behind it from simulated meteorites. Teams of 6-10 design ashield capable of withstanding shrapnel, approximately 0.375in and spherical in diameter,traveling at ~3000 ft/s. Like the other projects in this course the solution is open-ended yet hassome guiding parameters, namely the shrapnel characteristics. A limiting factor of size, weight,and cost are also used. In figure 3 below is an
andtheir future improvement to promote and encourage the underrepresented groups towardsintegration with institutional development.References1. Arriba M., Lucas C.M., Goto K. & Labrador R.N. (2018) Engaging Filipinx Americans in Higher Education to Foster Student Success. JCSCORE 4, 1-37.2. Bowman N.A., Denson N. & Park J.J. (2016) Racial/cultural awareness workshops and post- college civic engagement: A propensity score matching approach. American Educational Research Journal 53, 1556-87.3. Cartile A., Marsden C. & Liscouët-Hanke S. (2019) Teaching and learning design engineering: What we can learn from co-curricular activities. Proceedings of the Canadian Engineering Education Association
research. Teachers have brought up the value of being ableto speak to these issues in supporting the concept of resiliency in their own students. As wecontinue to improve and refine the program, we are interested in gathering stronger data toexplore how these concepts are transferred to classrooms and if they indeed promote increasedlearning and interest in bioengineering.REFERENCES[1] "NGSS: Developing the Standards." https://www.nextgenscience.org/developing- standards/developing-standards (accessed April 6, 2020).[2] M. S. Garet, A. C. Porter, L. Desimone, B. F. Birman, and K. S. Yoon, "What makes professional development effective? Results from a national sample of teachers," American educational research journal, vol
and engineering,” NSF 17-310, Arlington, VA, 2017 [Online]. Available: http://www.nsf.gov/statistics/wmpd/ [Accessed April 9, 2020].[4] R. Stevens, J. Bransford, and A. Stevens, “The LIFE center lifelong and lifewide learning diagram,” The LIFE Center, 2005 [Online]. Available: http://life- slc.org/about/citationdetails.html [Accessed April 9, 2020].[5] T. G. Ganesh and C. G. Schnittka, “Engineering education in the middle grades,” in Engineering in Pre-college Settings: Synthesizing Research, Policy, and Practices, S. Purzer, J. Strobel, and M. E. Cardella, Eds. Indiana: Purdue University Press, 2014, pp. 89-116.[6] National Academy of Engineering and National Research Council, Engineering in K-12 Education
-Jan-2020].[5] Afterschool Alliance, “America After 3PM: Afterschool Programs in Demand.” [Online].Available: https://www.wallacefoundation.org/knowledge-center/Documents/America-After-3PM-Afterschool-Programs-in-Demand.pdf.[6] M. Frye, C. Wang, S. Nair, and Y. Burns, “miniGEMS STEAM and Programming Campfor Middle School Girls,” in 2018 CoNECD-The Collaborative Network for Engineering andComputing, Crystal City, Virginia, 2018.[7] L. Albers, L. Bottomley, and E. A. Parry, “Assessing the Impact of Active Learning onStudents in Grades 3-8 during GK-12 Outreach Program Administered Family STEM Nights,” in2011 ASEE Annual Conference & Exposition, Vancouver, Canada, 2011.[8] C. Vallas and P. Guan, “Adventures For Future
, 2011. 100(1): p. 186-210.8. Domínguez, U., Active Learning in Engineering Education in Spain. A Course on Machine Design. SEFI, 2007.9. Gomez, E., et al., Development and Application of a New Interactive Model for the Teaching of Manufacturing Engineering Technology. IJEE, 2008.10. Coller, B.D., An Experiment in Hands-On Learning in Engineering Mechanics: Statics. International Journal of Engineering Education, 2008.11. Pierrakos, O., M. Borrego, and J. Lo, Empirical Evidence to Support Interdisciplinary Projects in Engineering Design Experiences. AAEE, 2007.12. Nasrazadani, S., Design and Construction of a Heat Exchanger Analyzer for an Undergraduate ThermalFluids Laboratory. International
that the students’perception of their negotiation style in the pre-assessment survey does not match with thenegotiation style observed during the activity and self-reported in the post-assessment survey.Based on the feedback from industry and the prior research conducted on soft skills andnegotiations specifically, it appears that the need for an activity of this type is warranted.Reference List[1] V. Domal and J. Trevelayn, “An engineer’s typical day: lessons learned and implications forengineering education,” Proceedings, 20th Australasian Association for Engineering EducationConference, pp. 637-643, 2009.[2] S. M. Katz, “The entry-level engineer: Problems in transition from student to professional,”Journal of Engineering Education, vol. 82
principles are a promising method by which to develop resilience in the form of failuretolerance for students. Future work will examine the effects of design thinking education onresilience over a longer course of time and with a larger sample of students.AcknowledgementsWe would like to thank the Kenan Institute and administrators at Forsyth Country Day Schoolfor supporting this exploratory research and the student participants in the summer program andhigh school course for their honest self-assessments and reflection.References[1] T. Newman and S. Blackburn, “Transitions in the Lives of Children and Young People: Resilience Factors,” Scottish Executive Education Department, Edinburgh, Scotland, Report ED 472 541, Oct. 2002.[2] M
climate," Journal of Engineering Education, vol. 85, pp. 45-51, 1996.[5] C. Faber, C. Smith-Orr, C. Bodnar, A. Coso Strong, W. Lee, and E. McCave, "Best practices for developing a virtual peer mentoring community," in ASEE Annual Conference proceedings, 2017.[6] R. Pimmel, A. F. McKenna, N. L. Fortenberry, B. Yoder, and R. C. Chavela Guerra, "Faculty development using virtual communities of practice," In ASEE Annual Conference Proceedings. Atlanta, GA., vol. 23, p. 1, 2013.[7] L. Bosman and P. Voglewede, "How can a faculty community of practice change classroom practices?," College Teaching, 2019.[8] A. L. Pawley, A. R. Carberry, M. E. Cardella, M.-I. Carnasciali, S. R. Daly, J. L. Gorlewicz
handbook of expertise and expert performance, New York, Cambridge University Press, 2006, pp. 21-30.[8] G. Klein and R. R. Hoffman, "Macrocognition, mental models, and cognitive task analysis methodology," in Naturalistic Decision Making and Macrocognition, Hampshire, U.K., Ashgate, 2008, pp. 57-80.[9] R. R. Hoffman and G. Lintern, "Eliciting and representing the knowledge of experts," in Cambridge Handbook of Expertise and Expert Performance, New York, Cambridge University Press, 2006, pp. 203-222.[10] R. R. Hoffman and J. Smith, Toward a general theory of expertise: Prospects and limits, New York: Cambridge University Press, 1991.[11] S. E. Dreyfus and H. L. Dreyfus, "A Five-Stage Model of the Mental Activities Involved in
designThis study is grounded in an interpretivist research philosophy that acknowledges a subjective,socially constructed reality [11]. Consistent with this philosophy, we will use open-endedquestions in an interview setting to understand the participants’ realities through their ownperspectives. Throughout the research process, we will refer to Walther et al.’s qualityframework for interpretive research, which provides guiding questions to ensure quality throughall the stages of research – from “making data” to “handling data” – and across six qualityconstructs: theoretical validation, procedural validation, communicative validation, pragmaticvalidation, ethical validation, and process reliability [12]. Our considerations for each of thesequality
, “American universities and technical advance in industry,” Res. Policy, vol. 23, no. 3, pp. 323–348, 1994, doi: 10.1016/0048-7333(94)90042-6.[3] National Academy of Engineering, The Importance of Engineering Talent to the Prosperity and Security of the Nation: Summary of a Forum. Washington, DC: The National Academies Press, 2014.[4] National Academy of Engineering, Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington, DC: The National Academies Press, 2005.[5] National Academy of Engineering, Grand Challenges for Engineering. Washington, DC: National Academy of Science, 2008.[6] N. Henderson, M. S. Fadali, and J. Johnson, “An investigation of first-year engineering students’ attitude
: 10.1348/000709902158883.[5] A. VanScoy and M. J. Oakleaf, “Evidence vs. anecdote: Using syllabi to plan curriculum- integrated information literacy instruction,” College & Research Libraries, vol. 69, no. 6, pp. 566–575, Nov. 2008, doi: 10.5860/crl.69.6.566.[6] T. P. Mackey and T. E. Jacobson, “Information literacy: A collaborative endeavor,” College Teaching, vol. 53, no. 4, pp. 140–144, Oct. 2005, doi: 10.3200/CTCH.53.4.140-144.[7] M. J. Foster, S. Shurtz, and C. Pepper, “Evaluation of best practices in the design of online evidence-based practice instructional modules,” Journal of the Medical Library Association, vol. 102, no. 1, pp. 31–40, Jan. 2014, doi: 10.3163/1536-5050.102.1.007.[8] I. Datig and C. Ruswick, “Four quick
, and Robert J. Beichner. Students’ understanding of direct current resistive electrical circuits. American Journal of Physics 72, no. 1 2004, 98-115.Finn, B. & Tauber, S. K. (2015). When Confidence Is Not a Signal of Knowing: How Students’ Experiences and Beliefs About Processing Fluency Can Lead to Miscalibrated Confidence. Educational Psychology Review, 27, 567–586.Fiorella, L., R. E. Mayer. "Eight ways to promote generative learning." Educational Psychology Review 28, no. 4 (2016): 717-741.Holton, Douglas L., Amit Verma and Gautam Biswas. Assessing student difficulties in understanding the behavior of AC and DC circuits. 2008.Limón, M.J. and instruction, On the cognitive conflict as an
of the cornerstone course should be integrated intothe curriculum.References 1. S. Freeman, C. Pfluger, R. Whalen, K. S. Grahame, J. Hertz, C. Variawa, J. Love, M. Sivak, and B. Maheswaran, “Cranking Up Cornerstone: Lessons Learned from Implementing a Pilot with First-Year Engineering Students,” 2016 ASEE Annual Conference & Exposition Proceedings. 2. Meyers, K., & Uhran, J., & Pieronek, C., & Budny, D., & Ventura, J., & Ralston, P., & Estell, J. K., & Slaboch, C., & Hart, B., & Ladewski, R. (2008, June), Perspectives On First Year Engineering Education Paper presented at 2008 Annual Conference & Exposition, Pittsburgh, Pennsylvania. https://peer.asee.org
SuccessRetention and student success data in the College from the early 2000’s indicated that first-timestudents who placed into Math 1110 (Algebra II) were much less likely to be retained to thesecond year and to ultimately complete their degree (whether from the College or from anothermajor at WMU) than students who entered the College placing into at least MATH 1180 (Pre-Calculus). Further refinement of the retention data showed that students achieving a grade inAlgebra II of lower than ‘B’ were even less likely to complete their degree successfully thanstudents who completed Algebra II with a ‘B’ or higher (a ‘C’ or higher is required by theMathematics Department to proceed to Pre-Calculus). Based on these observations, starting in2013, a separate
-thomas-kilmann-conflict-mode-instrument-tki/.[6] Ogunyemi D, Fong S, Elmore G, Korwin D, and Azziz R, “The Associations Between Residents’ Behavior and the Thomas-Kilmann Conflict MODE Instrument.,” Journal of graduate medical education, vol. 2, no. 1, pp. 118–25, 2010, doi: 10.4300/JGME-D-09-00048.1.[7] Oluwakemi. Gbadamosi, Abbas. Ghanbari Baghestan, and Khalil. Al-Mabrouk, “Gender, age and nationality: assessing their impact on conflict resolution styles.,” Journal of management development, 2014.[8] G. R. Shell, “Teaching Ideas: Bargaining Styles and Negotiation: The Thomas-Kilmann Conflict Mode Instrument in Negotiation Training,” Negotiation Journal, vol. 17, no. 2, pp. 155–174, 2001, doi: 10.1111/j.1571
. 8 References[1] L. Parker. “A whopping 91% of plastic isn’t recycled.” December 20, 2018. NationalGeographic. https://www.nationalgeographic.com/news/2017/07/plastic-produced-recycling-waste-ocean-trash-debris-environment/[2] J. Maris, S. Bourdon, J. Brossard, L. Cauret, L. Fontaine, V. Montembault. “Mechanicalrecycling: Compatibilization of mixed thermoplastic wastes.” Polymer Degradation andStability, 147, 245-266. 2018. doi: 10.1016/j.polymdegradstab.2017.11.001. [3] M. Cao. “Recycled plastic vs virgin resin – More than just a coin toss.” Retrieved from IC3D industries website: https://ic3dprinters.com/recycled-plastic-vs-virgin-resin-just-coin-toss/. 2017, January 31. [4] B. Ruj, V. Pandey, P
3D modeled Figure 3. Mini drone assembly in on CREO Parametric unexploded viewAfter redesigning the drone, students 3D print the newly designed part(s) and rebuild theirdrones. At this stage, students are able to conclude whether their design is better than the originaldesign that came with the kit. A better model can have one or more of these: (1) lighter inweight, (2) more aerodynamic, and (3) safer for the user (e.g. has propeller cages). Figures 4 and5 show a better and successful (a redesign is considered successful if the new drone is still ableto fly) and unsuccessful designs, respectively. In Figure 4, the new design is lighter than theoriginal, and the drone is able to fly. In Figure 5
Copyright ã 2020, American Society for Engineering Education 2Hardening 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 andunderstand5.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 three or four papers published each year sincethe early 1990’s. With the growth of cloud