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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
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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
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). 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
: Insights from Undergraduates.”[2] J. Dewey, Experience And Education. Simon and Schuster, 2007.[3] D. A. Schön, The reflective practitioner: how professionals think in action. New York: Basic Books, 1983.[4] A. R. Carberry, T. S. Harding, P. J. Cunningham, K. R. Csavina, M. C. Ausman, and D. Lau, “Professional and personal use of reflection by engineering faculty, students, and practitioners,” presented at the ASEE Annual Conference and Exposition, Conference Proceedings, 2018, vol. 2018-June.[5] L. Boswell, “The structure trap: students’ perceptions of reflection on a co-curricular immersion service-learning trip,” Thesis, Humboldt State University, 2010.[6] G.-D. Chen, C.-C. Liu, K.-L. Ou, and M.-S. Lin
Characteristics to Dimensions of Student Ratings of Teaching Effectiveness,”Coll. Stud. J., 2006.[4] S. Liaw and K.-L. Goh, “Evidence and control of biases in student evaluations ofteaching,” Int. J. Educ. Manag., pp. 37–43, 2003.[5] C. Kim, E. Damewood, and N. Hodge, “Professor Attitude: Its Effect on TeachingEvaluations,” J. Manag. Educ., vol. 24, no. 4, pp. 458–473, 2000.[6] J. S. Pounder, “Is student evaluation of teaching worthwhile? An analyticalframework for answering the question,” Qual. Assur. Educ., 2007.[7] T. Hinkin, “The Effects of Time of Day on Student Teaching Evaluations: Perceptionversus Reality,” J. Mangement Educ., 1991.[8] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton,“Persistence
Demonstration in Hardware Oriented Security and Trust (HOST), 2016, Online: http://www.hostsymposium.org/host2016/hardware-demo-list_2016.php[3] A. Holst, J. Jang and S. Ghosh, "Investigation of magnetic field attacks on commercial Magneto-Resistive Random Access Memory," 2017 18th International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, 2017, pp. 155-160.[4] CSAW Embedded Security Challenge, https://www.csaw.io/esc[5] Berrett, Dan. "How ‘flipping’ the classroom can improve the traditional lecture." The chronicle of higher education 12 (2012): 1-14.[6] Furman, Burford J. "The un-lecture: a computer-assisted curriculum delivery approach for the effective teaching of mechanical design
of systems approaches on biological problems in drug discovery. Nature Biotechnology, 22:1215-1217.2. Emmert-Streib, F., S-D Zhang, and P. Hamilton. 2015. Computational cancer biology: education is a natural key to many locks. BMC Cancer, 15:7.3. Janes, K.A., P.L. Chandran, R.M. Ford, M.J. Lazzara, J.A. Papin, S.M. Peirce, J.J. Saucerman, and D.A. Lauffenburger. 2017. An engineering design approach to systems biology. Integrative Biology, 9(7):574-583.4. Dunn, M.C. and P.E. Bourne. 2017. Building the biomedical data science workforce. PLoS Biol., 15(7):e2003082. https://doi.org/10.1371/journal.pbio.20030825. Hood, L., R. Balling, and C. Auffray. 2012. Revolutionizing medicine in the 21st century through systems approaches
. 423-451, 2004.[8] R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/, 2013.[9] P. C. Blumenfeld, E. Soloway, R. W. Marx, J. S. Krajcik, M. Guzdial, and A. Palincsar, "Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning," Educational Psychologist, vol. 26, no. 3-4, pp. 369-398, 1991/06/01 1991.[10] E. H. Fini, F. Awadallah, M. M. Parast, and T. Abu-Lebdeh, "The impact of project-based learning on improving student learning outcomes of sustainability concepts in transportation engineering courses," European Journal of Engineering Education, vol. 43, no. 3, pp. 473- 488, 2017.[11] J. S
seminar was supported bythe Oregon GEAR UP program in conjunction with the U.S. Department of Education, throughthe GEAR UP program, grant No. P334S140033. The opinions expressed are those of theauthors and do not represent the views of the GEAR UP program or the U.S. Department ofEducation.References1. States, N.L., Next Generation Science Standards: For States, By States, Education, Editor. 2013, The National Academies Press: Washington, DC.2. Yoon Yoon, S., M.G. Evans, and J. Strobel, Validation of the Teaching Engineering Self‐ Efficacy Scale for K‐12 Teachers: A Structural Equation Modeling Approach. Journal of Engineering Education, 2014. 103(3): p. 463-485.3. Board, N.S., Science and Engineering Indicators 2016. 2016: Arlington, VA.4
. Boice, Advice for new faculty members: nihil nimus, Needham Heights, MA: Allyn & Bacon, 2000.[2] P. C. Wankat, The effective, efficient professor: teaching, scholarship, and service, Boston: Allyn & Bacon, 2002.[3] J. Price and S. R. Cotten, "Teaching, research, and service: expectations of assistant professors," The American Sociologist, vol. 37, no. 1, pp. 5-21, 2006.[4] B. G. Davis, Tools for teaching, San Francisco: Jossey-Bass, 2009.[5] T. Huston, Teaching what you don't know, Cambridge, MA: Harvard University Press, 2009.[6] W. J. McKeachie and M. Svinicki, "Countdown for course preparation," in McKeachie's teaching tips: strategies, research, and theory for college and university teachers, Boston, Houghton Mifflin, 2006
twosentences that the intention is to ‘understand how a steel, circular bar, loaded under torsion,behaves until failure.’For the second section of improvement, the preceding lab manual mostly contained experimentalprocedures in paragraph format, as shown in Figure 2, which made it difficult for students to followand understand. Thus, the authors decided to reformat the procedures in a numbering, hierarchicalscheme such that each step would be followed accordingly (Figure 3). This modificationeliminated the need of having to search in multiple paragraphs for necessary information anddeciding what to implement. In addition, the revised manual specified exactly the type of table(s)needed for recording experimental data. This allowed students to include
of these dimensions, are represented in their ecological model thatincludes a cognitive dimension within an interpersonal dimension, within a broadersocietal/cultural dimension.Our team’s larger study builds uponthe work of these researchers whohave characterized different elementsof systems thinking. We representour working definition of systemsthinking in Figure 1, where the“component” is in the center, whichrepresents a potential solution orsolutions to the engineering problembeing explored. The expandingcircles represent the contexts that canand should be considered in makingdecisions about the solution(s) andtheir appropriateness. Many times Figure 1: Elements of Systems Thinkingthis component is part of a largersystem, thus
National Science Foundation under Grant No.DUE 1712186. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. This work was completed within the framework of University of Toledo protocol202214.References1. Crimson. Top 10 Jobs in 2030: Skills You Need Now to Land the Jobs of the Future: Future Skills. 2018 [cited 2019 January]; Available from: https://www.crimsoneducation.org/us/blog/jobs-of-the-future.2. Vest, C.M., Infusing Real World Experiences into Engineering Education. 2012.3. Daigger, G.T., et al., Real World Engineering Education Committee. 2012.4
Wiley & Sons, Ltd., 2012.[3] B.J. Tewksbury, “Specific Strategies for Using the “Jigsaw” Technique for Working in Groups in Non-Lecture-Based Course,” Journal of Geological Education, 43(4), pp. 322- 326, 1995.[4] D. Fitzgerald, “Employing think–pair–share in associate degree nursing curriculum,” Teaching and Learning in Nursing, 8(3), p. 88-90, 2013.[5] D.E. Allen, R.S. Donham, and S.A. Bernhardt, Problem-based learning. New Directions for Teaching and Learning, vol 128, pp. 21-29, 2011.[6] S. Freeman, et al., “Active learning increases student performance in science, engineering, and mathematics.” Proceedings of the National Academy of Sciences of the United States of America, 111(23) pp. 8410-8415, 2014.[7] S. Martin, D
and the City ofFreiburg im Breisgau for their help in facilitating the CREATE Germany program.6. References[1] L. Quitzow, W. Canzler, P. Grundmann, M. Leibenath, T. Moss, and T. Rave, "The German Energiewende–What's happening? Introducing the special issue," ed: Elsevier, 2016.[2] W. Fischer, J.-F. Hake, W. Kuckshinrichs, T. Schröder, and S. Venghaus, "German energy policy and the way to sustainability: Five controversial issues in the debate on the “Energiewende”," Energy, vol. 115, pp. 1580-1591, 2016.[3] L. Gailing and A. Röhring, "Germany’s Energiewende and the spatial reconfiguration of an energy system," in Conceptualizing Germany’s Energy Transition, ed: Springer, 2016, pp. 11-20.[4
, 2016.[6] S. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K. Norman, How Learning Works: Seven Research-based Principles for Smart Teaching. San Francisco, CA: Jossey- Bass, 2010.[7] L. Shulman, “Those who understand: Knowledge growth in teaching,” Educ. Res., vol. 15, no. 2, pp. 4–14, 1986.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1347675 (DUE). Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.
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