Section 2, the first step above (Establishing the Criteria) is also implemented in the control group, i.e. Section 1. II. List the Criteria in an Online Survey Following the class activity on Day 1, and using the list generated under task interdependence, the instructor creates a survey asking each student to self- identify their potential contribution to the project group, as well as their gender, race, and other aspects of their personality (e.g. collectivism vs. individualism, source(s) of motivation, view on engineering and social justice, etc.). In keeping with the spirit of Potosky and Duck [8], this survey should give
Challenges - 14 Grand Challenges for Engineering,” National Academy of Engineering. [Online]. Available: http://www.engineeringchallenges.org/challenges.aspx. Accessed on: Jan. 28, 2020.[2] “NAE Grand Challenges Scholars Program,” National Academy of Engineering. [Online]. Available: http://www.engineeringchallenges.org/challenges.aspx. Accessed on: Jan. 28, 2020.[3] A. Wood, S. Arslan, J. Barrett, S. Brownell, A.M. Herbert, M. Marshall, K. Oates, D. Spanagel, J. Winebrake, and Y. Zastavker. “Work in Progress: Transformation through Liberal Arts-Focused Grand Challenges Scholars Programs.” Proceedings from American Society of Engineering Education Annual Conference and Exposition. Tampa, FL, 2019. Available: http
Engineering Institute, Pittsburgh, 1990.[6] B. Garbers and K. Periyasamy, "A Light-Weight Tool for Teaching the Development and Evaluation of Requirements Documents," in ASEE Annual Conference, Chicago, 2006.[7] D. Brown, "Requiring CS1 students to write requirements specifications: a rationale, implementation suggestions, and a case study," in SIGCSE '88 Proceedings of the nineteenth SIGCSE technical symposium on Computer science education, Atlanta, 1988.[8] W. Hankley, "Software Engineering Emphasis for Engineering Computing Courses: An Open Letter to Engineering Educators," in ASEE Annual Conference, Salt Lake City, 2004.[9] J. Preston and S. Acharya, "Using Software Engineering Concepts in Game Development - Sharing Experiences at
rather than use theentire course textbook. Erbe suggests that student created note sheets can “reduce examinationanxiety while increasing learning, particularly in courses that assess on the first three levels ofBloom’s taxonomy” [6, 7]. Raadt found statistical significance that “[s]tudents with cheat-sheetsperformed, on average, higher” and “students without cheat-sheets performed worse” to indicate“that the preparation and use of student created cheat-sheets does have an impact on studentperformance” [4]. Researchers make various arguments against student-generated note sheets,including Rehfuss who is concerned “that pre-supplied note sheets detract from conceptualthinking and discourage studying.” To address Rehfuss’ concern, Cone advocates
engineeringworkplace skills development in favor of graduating engineers with stronger analytical skillsbased on their ability to apply sound scientific principles. Though laudable and well intentioned,it became apparent in the 80’s and 90’s with the emergence of globalized economies that thependulum had swung too far in this direction and that a correction was needed. ABET’sEngineering Criteria 2000 [2] approved in 1996 and used until recently for accreditingengineering programs, sought to achieve this by balancing the need for outcomes related toengineering problem solving with outcomes that promoted the societal context for engineering.This has resulted in a strong emphasis on introducing and assessing the professional skills intocurricula. There has been
: Prentice-Hall, 1984.[7] D. Kolb and R. Fry, Toward an applied theory of experiential learning. MIT Alfred P. SloanSchool of Management, 1974.[8] S. Kirstukas, “Development and evaluation of a computer program to assess student CADmodels,” in Proceedings of the ASEE 123rd Annual Conference and Exposition, New Orleans, LA,USA, June 26-28, 2016.[9] D. Elrod and M. Stewart, “Assessing Student Work in Engineering Graphics and VisualizationCourse,” in Proceedings of the ASEE Annual Conference and Exposition, Salt Lake City, UT, USA,June 20-23, 2004.[10] E. Wiebe, T. Branoff and N. Hartman, “Dynamic Modeling with Constraint-Based CAD inIntroductory Engineering Graphics,” in Proceedings of the ASEE Annual Conference and Exposition,Nashville, TN, USA, June
Drop in College Readiness, Especially in Math,” The Wall Street Journal, October 17, 2018. [Online]. Available: https://www.wsj.com [Accessed October 17, 2018].[3] W. B. Armstrong, “The association among student success in courses, placement test scores, students background data, and instructor grading practices,” Community College Journal of Research & Practice, vol. 24, no. 8, 2000, pp. 681-695.[4] S. Fitchett, K. King, and J. Champion, “Outcomes of mathematics placement: An analysis of advising and enrollment data,” PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies, vol
increasingly needed. Meanwhile, biomedical engineers are increasingly asked to developuser-centered solutions (i.e., desired by the end users). Nevertheless, the importance of user-centeredness is often neglected in the innovation process. It remains unclear about the interplaybetween thinking of solution novelty and desirability in addition to feasibility, and thus it ischallenging for biomedical engineering educators to balance the teaching of the above twoaspects in a BME design curriculum.This study aims to develop a preliminary version of a user-centered innovation potentialassessment instrument applicable to diverse biomedical engineering design projects. Theassessment instrument was adapted from File and Purzer (2014)’s definition of
Computer Supported Cooperative Work and Social Computing Companion - CSCW’16 Companion, San Francisco, CA, USA, Feb 27 - March 02, 2016, pp. 333-336. 4. J. Perkel, “How scientists use Slack,” Nature, January 2017, vol. 541, pp. 123-124. 5. M. Gofine and S. Clark, “Integration of Slack, a cloud-based team collaboration application, into research coordination,” Journal of Innovation in Health Informatics, 2017, vol. 24, no.2, pp. 252- 254. 6. J. Gaines, O. Akintewe, and S. Small, “Engineering design instruction using Slack for project support and teamwork,” 2019 ASEE Annual Conference & Exposition, June 16-19, 2019, Tampa, FL.7. X. Zhang, Y. Meng, P. Pablos, and Y. Sun, “Learning analytics in collaborative learning
discussed with any of the groups but isa possibility for further consideration. In order to determine if the outcomes of this project are reproducible, a version of thisproject will be introduced into Northeastern ’s fluid mechanics course in an upcoming semester.In order to better analyze the student’s self-reported enjoyment and improvement, a 4-point Likertscale will be used on the end-of-semester surveys to more accurately assess and quantify studentresponses. An ANNOVA analysis will also be utilized for better comparison between semesters.References(1) Vreman-de Olde, G.C., de Jong, T., Gijlers, H. Educational Technology & Society, 2013, 16(4),47-58.(2) Leeder, D. Education Media International, 2000, 37(4), 219–224.(3) Cherrett, T
arebased on the classic S. M. Sze Semiconductor Devices: Physics and Technology [6] text andshown in Table 1. Table 1. Non-idealities Experiment References Topic Laboratory Exercise Sze reference[6] Thermal effects Experiment 1: Thermal Effects on Ch. 3. p–n Junction, Sect. PN Junction Diodes and MOSFETs 3.4.3 Temperature Effect, pp. 96 Gain limitations and the Experiment 2: MOSFET Amplifier Ch. 5. Unipolar Devices, effect of load on a cir- Gain and Load Limits Sect. 5.5 The MOSFET: Ba- cuit’s output
transfer from community colleges to four-year colleges. Teachers College Record, 108(3), 452-487. [5] Packard, B. W. L., Gagnon, J. L., & Senas, A. J. (2012). Navigating community college transfer in science, technical, engineering, and mathematics fields. Community College Journal of Research and Practice, 36(9), 670-683. [6] Simone, S. A. (2014). Transferability of Postsecondary Credit Following Student Transfer or Coenrollment. Statistical Analysis Report. NCES 2014-163. Washington D.C.: National Center for Education Statistics. [7] Kadlec, A., & Gupta, J. (2014). Indiana Regional Transfer Study: The Student Experience of Transfer Pathways between Ivy Tech Community College and Indiana
ethics," in Proceedings. Eleventh International Conference on Computer Communications and Networks, Miami, FL, 2002.[8] S. Lingafelt, "The History and Development of a “Cyber Security” Program Criteria," ABET, 11 November 2017. [Online]. Available: https://www.abet.org/the-history-and-development-of-a- cyber-security-program-criteria/. [Accessed 27 January 2020].[9] N. A. Barghouthi and H. Said, "Critical structure of ethics behind offensive cyber warfare," in 2013 International Conference on Current Trends in Information Technology, Dubai, 2013.[10] N. M. Cal, "Crossing the rubicon: identifying and responding to an armed cyber-attack," in 2016 International Conference on Cyber Conflict, Washington, D.C., 2016.[11] E. Sobiesk, J
board for guiding us to ensure that this project wouldbe safe, ethical and fun for all those involved. This material is supported by the National ScienceFoundation Award No. 1453040.8. References[1] R. D. Steele, “The importance of open source intelligence to the military,” International Journal of Intelligence and Counter Intelligence, vol. 8, no. 4, pp. 457-470, 1995.[2] S. Mercado, “Sailing the sea of OSINT in the information age,” Studies in Intelligence, vol. 43, no. 3, pp. 45-55, 2009.[3] D. R. Hayes and F. Cappa, “Open-source intelligence for risk assessment,” Business Horizons, vol. 61, no. 5, pp. 689-697, 2018.[4] A. K. Sood and R. J. Enbody, “Targeted cyberattacks: a superset of advanced persistent threats,” IEEE
/index.html, Accessed January 21, 2020Sunfounder (2018). Picar S Manual, https://www.sunfounder.com/picar-s.html, Accessed January 21, 2020DSRC (2007). DRAFT SAE J2735 Dedicated Short Range Communications (DSRC) Message Set Dictionary: Annex B: Traffic Probe Message Use and Operation. Society of Automotive Engineers, Warrendale, PA.Johnson, P., 1999. Problem based, cooperative learning in the engineering classroom. Journal of Professional Issues in Engineering Education and Practice, 125 (1), 8–12Lopatto, D. (2004). Survey of undergraduate research experiences (SURE): First findings. Cell biology education, 3(4), 270-277Li, M., & Faghri, A. (2016). Applying problem-oriented and project-based learning in a transportation
an uncertain world. Research-Technology Management, 2012. 55(6): p. 49-57.6. Moore, R., et al. The K-12 InVenture Challenge: Inspiring Future STEM Innovators. in 2017 ASEE Annual Conference & Exposition. 2017.7. National Research Council, Entrepreneurship: Its Role in Engineering Education. The Bridge on Undergraduate Engineering Education, Summer 2013. 43(2).8. Weiler, S. Six Charts that Illustrate the Divide between Rural and Urban America. 2017; Available from: http://theconversation.com/six-charts-that-illustrate-the-divide-between- rural-and-urban-america-72934.9. McLaughlin, D.K., C.M. Shoff, and M.A. Demi, Influence of perceptions of current and future community on residential aspirations
Conference4. Cisco WebEx Board, https://www.cisco.com/c/en/us/products/collaboration-endpoints/webex-board/index.html5. Cisco WebEx conferencing service, https://www.webex.com6. C. Popoviciu, P. Lunsford, J. Pickard, C. Sawyer, S. Wear, S. Lee, D. Drummond, " Deploying EdgeComputing to Augment Endpoint Functionality", Submitted to 2020 ASEE Annual Conference7. G. Aceto, A. Botta, W. de Donato, A. Pescape, "Cloud Monitoring: A Survey", Elsevier, vol 57, issue 9,p. 2093-2115 (2013)8. J. Edwards, "Data Silos: Now and Forever?" https://www.informationweek.com/strategic-cio/it-strategy/data-silos-now-and-forever/a/d-id/13332469. L.Skorin-Karpov, M. Varela, T. Hoßfeld, K. Chen, "A Survey of Emerging Concepts and Challenges forQoE Management of Multimedia
in future semesters in order to assist a greater number of teams.Table 2: Results from each semester. *Fall 2017 did not include a formal mentorship program,and as such had poor outcomes. Semester # of Mandatory # of Voluntary Number of Number of teams Teams (Honors) Teams/Total mentors with successful Teams (Standard) prints Fall 2017 (H)* N/A N/A N/A 2 out of 12 Fall 2018 (H) 13 N/A 31 13 out of 13 Spring 2019 (S) N/A 12/20 17 12 out of 12 Fall 2019 (H and S) 5
wouldalso like to thank Ms. Angela Lanning for her assistance in executing the programs.References[1] G. K. Stahl, M. L. Maznevski, A. Voigt, and K. Jonsen, "Unraveling the effects of cultural diversity in teams: A meta-analysis of research on multicultural work groups," Journal of international business studies, vol. 41, no. 4, pp. 690-709, 2010.[2] S. E. Page, The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies-New Edition. Princeton University Press, 2008.[3] A. P. Association, Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub, 2013.[4] G. A. Shaw and G. Brown, "Laterality and creativity concomitants of attention problems
. Test della creatività e del pensiero divergente, Trento, Italy:Centro Studi Erickson, 1994.[14] F. Williams, The Creativity Assessment Packet, Chesterfield, MO: Psychologistsand Educators Inc, 1980.[15] J. Van Scotter and S. Motowidlo. “Interpersonal facilitation and job dedication asseparate facets of contextual performance,” Journal of Applied Psychology, vol. 81,no. 5, pp. 525-531, 1996.[16] E. Moga, K. Burger, L. Hetland and E. Winner, “Does studying the arts engendercreative thinking? Evidence for near but not far transfer,” Journal of AestheticEducation, vol. 34, no. 3/4, pp. 91-104, 2000.[17] R. Rooney, Arts-based teaching and learning: A review of the literature,Rockville, MD: Westart, 2004.[18] C. Baillie, “Enhancing creativity in
Partners: Service Learning as Route to Authority for Basic Writers,” Journal of Basic Writing (CUNY), 28(1), 50-70.Geisinger, B. and Raman, D. (2013). “Why They Leave: Understanding Student Attrition from Engineering Majors,” International Journal of Engineering Education, 29(4), 914-925.Gillis, C. (1994). “Writing Partners: Expanding Audiences for Student Writing,” The English Journal, 83(3); 64-67.Griffith, A. (2010). “Persistence of Women and Minorities in STEM Field Majors: Is it the School that Matters?” Economics of Education Review, 29, 911-922.Hayford, B., Blomstrom, S., and DeBoer B. (2014). “STEM and Service-Learning: Does Service- Learning Increase STEM Literacy.” International Journal of Research on
Review, 84, 191–215.Brown, S. D. & Lent, R. W. (1996). A social cognitive framework for career choice counseling. The Career Development Quarterly, 44, 354–366.Carpi, A.C.; Ronan, D.M.; Falconer, H.M. & Lents, N.L. (2017). Cultivating minority scientists: Undergraduate research increases self‐efficacy and career ambitions for underrepresented students in STEM. Journal of Research in Science Teaching, 54(2), 169-194.Code.org. (2019). Computer Science Principles. Retrieved from https://code.org/educate/csp.Cordes, D.; Parrish, A.; Dixon, B.; Borie, R.; Jackson, J. & Gaughan, P. (1997). An integrated first-year curriculum for computer science and computer engineering. 3. 1354-1358 vol.3 10.1109/FIE
). Rubrics are oriented toward performance ofthe required work, but not necessarily quality or depth of that work; that is, a reflective essay thatexhibits shallow or misdirected learning can be as equally valid for course completion as one thatshows a career-changing experience. The key concern is for authentic and conscientious work onthe deliverables; this is an important course characteristic in light of the varying quality of HILPmentoring and experiences outside the control of the academic faculty. Deliverables deemedunsatisfactory are returned to the student with a one-week opportunity for a single revision. If allthree deliverables (including revisions) are satisfactory, the student receives a grade of “pass.” Ifunsatisfactory deliverable(s
hands-on experience with fabrication tools/processes,and learned how to evaluate them with respect to a certain functional need. Additionally, studentslearned to use prototyping methods to solve design problems, incorporate user feedback, anditerate their designs in a meaningful manner. Figure 5: Course Elements in Relation to Bloom's TaxonomyAcknowledgment: This material is based upon work supported by the Department of Energy /National Nuclear Security Administration under Award Number(s) DE-NA0003921.Disclaimer: This report was prepared as an account of work sponsored by an agency of the UnitedStates Government. Neither the United States Government nor any agency thereof, nor any oftheir employees, makes any warranty
- Cost Brain Computer Interface TechnologiesAbstract:Advancing an interest and literacy in Science Technology Engineering and Mathematics (STEM)fields in high school students through summer and after school programs has been widelypopular since the 1990’s, and these programs are effective at improving retention and persistenceafter graduation. However, there still remains a lack of designing programs to increase interestand literacy of biomedical engineering (BME) related applications that are scalable at otherinstitutions. This is typically due to the challenges of providing costly resources that areavailable only in specific laboratory settings and require graduate level expertise to operate. Toprovide a low-cost and scalable approach to
predictions for4 https://cran.r-project.org/web/packages/naivebayes/naivebayes.pdfWeek 1/Art 1 (i.e., row 1, columns 2-5, shaded in blue), suggest that three students (S3, S4, S9)carried forward (repeated) significant content from Art 1 (Week 1) into subsequent essays. Asimilar pattern appears for S7, whose essays were nearly all classified as Week 3, suggesting thatthere was very little change in what this student was reporting across the homework essays.Basically, the algorithm could not detect significant shifts in the content of that student’s essays.Table 1. Confusion Matrix for Naïve Bayes Predictions for the Week Students ComposedArt and Narrative Essays. Students are shown as S#, e.g., S1. ACTUAL
design of the face to face workshops in 2019 were influenced by Techbridge Girls’ expertiseand bank of curricular resources, feedback provided in one-on-one interviews with the firstcohort of Ambassadors in 2018-2019, and EngineerGirl staff and evaluators’ impressions ofcohort 1’s struggles. For example, the difficulty one Ambassador had in securing space for anevent led to the recommendation to have a project management workshop for cohort 2. Table 2below highlights the list of workshop topics that were discussed during the 2019 event. Workshop Workshop Topic Component 1 Icebreakers 2 Gender Responsiveness
Semester(s) Taught (*to be taught) 1 Direct Potabilization Spring 2016, Spring 2017 2 Recover Value from Solid Waste Spring 2016, Spring 2017, Spring 2018 3 Discovering Green Chemistry Spring 2016 4 The Internet of Sustainability Fall 2016, Fall 2017 5 Data Analytics for Energy Fall 2016, Spring 2018 6 Modeling Complexity Fall 2016, Fall 2017, Spring 2019* 7 Deconstructing a Garbage Gyre Spring 2017 8 Environmental Impact in Automotive Systems
, 2012. DOI: 10.1080/02763915.2012.812920[8] C.A. Erdmann and B.A. Harding, “Leveraging the Internet and limited on-campus resourcesto teach information literacy skills to future engineering practitioners.” Paper presented at the2010 ASEE Annual Conference and Exposition, Louisville, Ky. https://peer.asee.org/16479[9] C. A. Erdmann and B. A. Harding, “Information literacy: Needs – Skills –Assignments.” In Proceedings of the 1988 ASEE Annual Conference, Portland, Oregon. vol. 5, p.2073-2078, 1988.[10] A. S. Van Epps, M. Sapp Nelson, M. Fosmire, and B. Harding, "Nextgeneration of online tutorials: Finding technical information at Purdue." In Proceedings of theInternational Conference on Engineering Education, Coimbra, Portugal, September 3-7, 2007