learning. It is also worth mentioninghere that the university administration has realized the impact of sudden pandemic on studentslearning. The University administration had provided students with the choice of choosingSatisfactory/Unsatisfactory (S/U) grade instead of regular letter grade for post-unplannedpandemic semester (Spring 2020). The choice of students was not shared with instructors.Instructors had performed remote instructions and assigned letter grades to students. Therefore,the grades reported in this paper are also letter grades.This study will be useful in planning for pandemics in the future as it finds that the post-plannedpandemic student outcome is same as the pre-pandemic. Therefore, in case of the possibility ofany pandemics
intellectual property of the students.Figure 3. Breakdown of student team outcomes categorized as high impact deliverables based on the ImpactInnovation Scale produced by the first cohort of IBL students during the academic year Fall 2019 to Spring 2020.Figure 4. The student outcomes for each team involved in the 2 nd cohort of the IBL classroom.Table 4. Calculating a Fall 2020’s Multidisciplinary score (total number of unique student disciplines per team) andan Institutional Score (number of universities/colleges students are attending from) per team show teams with aMultidisciplinary Score also seem to have a greater amount of end-of-semester high impact deliverables. Comparingthese scores to Fall 2019 shows an increase in Multidisciplinary scores
Virginia University. While her doctorate is in Curriculum and Instruction, focusing on higher education teaching of STEM fields, she also holds B.S. and M.A. degrees in Mathematics. Dr. Hensel has over seven years of experience working in engineering teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years of experience teaching mathematics, statistics, computer science, and first-year engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first-year engineering students with a high- quality, challenging, and engaging educational experience with
. Haacker, R. Batchelor, and C. Garza. How COVID-10 is AffectingUndergraduate Research Experiences, American Geophysical Union, June 18, 2020. Accessedon: Jan. 8, 2021. [Online]. Available: https://eos.org/science-updates/how-covid-19-is-affecting-undergraduate-research-experiences[4] N. McIntyre, C. T. Amelink, and J. Bokor, “Career Development Impacts of a ResearchProgram on Graduate Student and Postdoc Mentors”, 2020 ASEE Virtual Annual ConferenceContent Access. 10.18260/1-2--34260[5] C. T. Amelink, S. Artis, and T.-J. King Liu, “Examining the self-efficacy of communitycollege STEM majors: Factors related to four-year degree attainment,” Community CollegeJournal of Research and Practice, vol. 39, no. 12, pp. 1111–1124, Dec. 2015.[6] L. K. Marlor
Function: Sensing (S) and Intuition (N) • Cognitive Judging Function: Thinking (T) and Feeling (F) • Attitude of the Functions: Judging (J) and Perceiving (P)The True Colors taxonomy is a simplification of the MBTI created by Lowry based on Keirsey’sfour temperament groupings [4]. Many versions of a test instrument utilizing the True Colorstaxonomy exist. One of the most commonly used versions is the True Colors “word cluster”version. This instrument is used because it is relatively quick to administer and is easilyaccessible. The True Colors “word cluster” test has four personality dimensions identified ascolors: • Gold • Orange • Blue • GreenThe Five-Factor Model (FFM) is also called the Big Five personality traits or the
work on this topic could: • Gather data on students office hour attendance to extend the analysis to account for the effects of office hour attendance. • Tracking the grades of students who attended study sessions in future courses and identifying students who completed the Environmental Resource Engineering degree. • Collecting more data to better represent all categories of students. • Hold instructor led study sessions in an informal location to compare the effect the room has on the attendance of these sessions.These additions will benefit the analysis used to determine if the transformation of office hours toinstructor led study sessions positively impact the completion of STEM programs.References [1] M. Komarraju, S
Director, Dis- covery Learning Program Affiliate Professor, Bioengineering Olivia Coiado has a Postdoctoral training from the University of Illinois at Urbana-Champaign (2013-2015) where she developed a new technology for cardiac therapy. She received her B.S degree in medical physics in 2005 from the University of S˜ao Paulo, Brazil, M.Sc. degree in Electrical Engineering from the University of Campinas, Brazil (2008) and Doctorate degree in Electrical Engineering from the University of Campinas, Brazil (2012). She has published journal articles describing a new technology to pace the heart using ultrasonic pulses and med- ical/engineering education research. Prof. Coiado is passionate about everything that involves
/object/uuid:ae3b30e3-5380-4a07-afb5- dafd30b7b433?collection=research.[2] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning,” IEEE Eng. Manag. Rev., 2006, doi: 10.1109/emr.2006.1679078.[3] V. Taajamaa, S. Kirjavainen, L. Repokari, H. Sjoman, T. Utriainen, and T. Salakoski, “Dancing with ambiguity design thinking in interdisciplinary engineering education,” in 2013 IEEE-Tsinghua International Design Management Symposium: Design-Driven Business Innovation, TIDMS 2013 - Proceedings, 2014, doi: 10.1109/TIDMS.2013.6981258.[4] M. Hannafin, S. Land, and K. Oliver, “Open learning environments: Foundations, methods, and models,” in
, J.P. Liu, K.J. Cappaert, and C. Figuereido, “Stemming the tide: Predicting women engineers' intentions to leave,” Journal of Vocational Behavior, vol. 83, no. 3, pp. 281–294, 2013.[3] K.R. Buse, D. Bilimoria, and S. Perelli, “Why they stay: women persisting in US engineering careers,” Career Development International, vol. 18, no. 2, pp.139–154. 2013.[4] K.R. Buse and D. Bilimoria, “Personal vision: enhancing work engagement and the retention of women in the engineering profession,” Frontiers in Psychology, vol. 5, Dec 2014. doi: 10.3389/fpsyg.2014.01400.[5] T. Mohr, Playing Big. New York, NY: Penguin Random House LLC, 2014.[6] S. Sandberg, Lean in: Women, Work, and the Will to Lead. New York, NY: Alfred A. Knopf, 2013.[7] T
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, workforce, andgovernment the research catalog will expand. Figure 8. Digital Shipbuilding Research Strategy.For CY 2020, VDSP has a robust plan that includes outreach, conferences, papers/publications,research and expansion of curriculum. In conclusion, VDSP is just getting started inreinvigorating the industry in preparation of Industry 4.0 Revolution and beyond.References:[1] K Amadeo, "Current US Employment Rate Statistics and News," The Balance, 2019.[2] USNI News, "FY2020 US Navy 30 Year Shipbuilding Plan," USNI News, Mar 21, 2019. [Online}. Available: https://news.usni.org/2019/03/21/fy-2020-u-s-navy-30-year-shipbuilding-plan. [Accessed Feb 3, 2020].[3] Crestom, "Tips for Managing Multiple
preliminary analyses done so far.7 References1 Danielian, S. A., & Buswell, N. T. (2019, April), Do support sheets actually support students? A content analysis of student support sheets for exams Paper presented at 2019 Pacific Southwest Section Meeting, California State University, Los Angeles , California. https://peer.asee.org/318242 Dickson, K. L., & Miller, M. D. (2005). Authorized crib cards do not improve exam performance. Teaching of Psychology, 32(4):230–232.3 Dickson, K. L., & Bauer, J.J. (2008): Do Students Learn Course Material During Crib Sheet Construction? Teaching of Psychology, 35(2):117-120.4 Drake, V. K., Freed, P., & Hunter, J. M. (1998). Crib sheets or security blankets? Issues in Mental
since the 1950’s and developed in response to engineering programs becoming more andmore theoretical in nature [3-4]. The American Society of Mechanical Engineers (ASME) has acontinuum model demonstrating the overlap in an engineering education as opposed to anengineering technology one [3]. An engineer’s education resides more on the analysis side of thecontinuum, and engineering technology on the production. The middle area shared by bothdisciplines are the activities associated with design and development. Therefore, the roles of anengineer and engineering technologist can overlap. Mechanical Engineering Technology (MET)has different forms across the United States. At New Jersey Institute of Technology (NJIT),MET is a focused program for
focus more on their studies and [4] Strayhorn, T. L., College students’ sense of belonging: A key to educa-hence, become academically successful. In addition, the con- tional success for all students. New York, NY: Routledge. Suzuki, A.,nectedness and community allow the HOME Program stu- Amrein-Beardsley, 2012.dents to navigate the rigors of academia successfully. The [5] Fike, D. S., & Fike, R., Predictors of first-year student retention in theHOME Program staff works to achieve student connectedness community college. Community
ACKNOWLEDGEMENTS This research is supported by the National Science Foundation under CNS 1441071 andCNS 0813956... Any opinions, findings, and conclusions or recommendations expressed in thispaper are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. REFERENCES [1] R.W. Lent, S.D. Brown, and G. Hackett. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of counseling psychology, 47(1), p. 36. [2] Google. (2014). Women Who Choose Computer Science--What Really Matters: The Critical Role of Encouragement and Exposure. https://docs.google.com/file/d/0B- E2rcvhnlQ_a1Q4VUxWQ2dtTHM/edit (Accessed August 8
learningare collaborative learning, co-operative learning, and problem-based learning. Various studies,from using interactive, hands-on lessons and activities designed to teach research process toundergraduate engineering students 1 , to preparing manufacturing engineering students throughcompetitions, projects sponsored by industry, capstone projects, laboratory exercises or projectssimulating real-life scenarios 2 , have shown that active learning increases student performance inSTEM subjects.Critical thinking, identified by The U. S. Department of Labor as the raw material of a number ofkey workplace skills such as problem solving, decision making, organizational planning, and riskmanagement, is highly coveted by employers of engineering graduates
Workshop”. Retrieved from http:// www.nysci.org/media/file/MkaerFaireReportFinal.pdf.[5] Vossoughi, S. and Bevan, B. (2014) Making and Tinkering – A Review of the Literature. Retrieved from http:// www.sesp.northwestern.edu/docs/publications.[6] Petrich, M., Wilkinson, K., and Bevan, B. (2011) It Looks Like Fun, But Are They Learning? Retrieved from http:// llk.media.mit.edu/.../DesignMakePlay-Ch5.pdf.[7] Committee on the Engineer of 2020. National Academy of Engineering. The Engineer of 2020: Visions of Engineering in the New Century. Available at: http://books.nap.edu/catalog/10999/the-engineer-of-2020- visions-of-engineering-in-the-new?onpi_newsdoc05172003[8] Dewey, J. (1902). The Child and Curriculum . Chicago, IL
., 2013, "http://nces.ed.gov/programs/digest/2013menu_tables.asp". 3. U.S. Department of Commerce Economics and Statistics, August, 2011, “http://www.esa.doc.gov/sites/default/files/womeninstemagaptoinnovation8311.pdf”. 4. NSF, 2015, "http://www.nsf.gov/statistics/2015/nsf15311/tables.cfm#undergraduate- enrollment". 5. Lim A1, Nakamura BJ, Higa-McMillan CK, Shimabukuro S, Slavin L. 2012, “Effects of workshop trainings on evidence-based practice knowledge and attitudes among youth community mental health providers”, Behaviour Research and Therapy, Volume 50, Is. 6 6. Fouad, N., Fitzpatrick, M., Liu, J.P., 2011, "Persistence of women in engineering careers: A qualitative study of current and former female
learning: Faculty and student perceptions. Journal of Nursing Education, 40(3), 116-123.10. Stepien, W. J., Gallagher, S. A., & Workman, D. (1993). Problem-based learning for traditional and interdisciplinary classrooms. Journal for the Education of the Gifted, 16(4), 338-357.11. Gallagher, S. A., Stepien, W. J., & Rosenthal, H. (1992). The effects of problem-based learning on problem solving. Gifted Child Quarterly, 36(4), 195-200.12. Hmelo, C. E., & Ferrari, M. (1997). The problem-based learning tutorial: Cultivating higher order thinking skills. Journal for the Education of the Gifted, 20(4), 401-422.13. Torrey, L. (2012, July). Teaching problem-solving in algorithms and AI. Third Symposium on
project was supported by the US Department of Education through the through the MinorityScience and Engineering Improvement Program (MSEIP, Award No. P120A150014); andthrough the Hispanic-Serving Institution Science, Technology, Engineering, and Mathematics(HSI STEM) Program, Award No. P031C110159.Bibliography1 Reyes M-E: Unique challenges for women of color in STEM transferring from community colleges to universities. Harvard Educational Review 2011, 81:241-263.2 Malcom LE: Charting the pathways to STEM for Latina/o students: The role of community colleges. New Directions for Institutional Research 2010, 2010:29-40.3 Olson S, Riordan DG: Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science
Report by the President’s Council of Advisors on Science and Technology. Retrieved from http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-stemed-report.pdf[3] U.S. News (2012, April 27). U.S. news announces first-ever national STEM convention. U.S. News. Retrieved from http://www.usnews.com/news/blogs/stem-education/2012/04/27/us-news-announces-first-ever- national-stem-convention[4] Dahlstrom, E., Brooks, D. C., Grajek, S. & Reeves, J. (2015, December). ECAR Study of Undergraduate Students and Information Technology, 2015 (Research Report). Louisville, CO: EDUCAUSE Center for Analysis and Research. Retrieved from http://www.educause.edu/library/resources/2015-student-and
Crilly, U.S. Coast Guard Academy Paul Crilly is an Professor of Electrical Engineering at the United States Coast Guard Academy. He is also an adjunct math instructor at the University of Connecticut. He received his Ph.D. from New Mexico State University, his M. S. and B.S. degrees at Rensselaer Polytechnic Institute, all in Electrical Engineering. He was previously an Associate Professor of Electrical and Computer Engineering at the University of Tennessee and was a Development Engineer at the Hewlett Packard Company. His areas of interest include laboratory development, antennas, wireless communications, signal processing, and instrumentation. c American Society for Engineering
, and the sequence of topics follows that of most introductory statistics textbooks. Most chapters of the course textbook [3] are covered, but some sections are not covered at all and others are covered superficially. Table 1 provides a summarized listing of the course topics, their sequence, and the instructional emphasisTable 1 – Current Topic Coverage & Instruction EmphasisTopic Area Weeks Topic Coverage H S C Sampling methods: Random, systematic, stratified.Obtaining Data 0% 0% 100% Types of
timing of activities and scaffolding would allow campers to progressto activities that require more independence and stronger understanding.The end of day closing session was modeled after the 3rd through 5th grade camps [1] and didn’tfit well in this camp. The format involved discussing the results of each of the activities doneduring the day, acknowledging the winning camper teams by bringing them up to the front of thecamp, and having the winning teams explain their design and the process they experienced inachieving their success. The end of day also included each team teacher lead recognizing certaincampers from their team that best exhibited the habits of mind that day, as well as a dining awardfor the camper(s) who exhibited commendable
. Pierrakos, T. K. Beam, J. Constantz, A. Johri, and R. Anderson, “On the development of a professional identity: Engineering persisters vs engineering switchers,” Proc. - Front. Educ. Conf. FIE, no. 2, pp. 1–6, 2009.[5] K. L. Meyers, M. W. Ohland, A. L. Pawley, S. E. Silliman, and K. A. Smith, “Factors relating to engineering identity,” Glob. J. Eng. Educ., vol. 14, no. 1, pp. 119–131, 2012.[6] H. M. Matusovich, R. A. Streveler, and R. L. Miller, “Why do students choose engineering? A qualitative, longitudinal investigation of students’ motivational values,” J. Eng. Educ., vol. 99, no. 4, pp. 289–303, 2010.[7] K. L. Tonso, Student engineers and engineer identity: Campus engineer identities as figured world, vol. 1, no
rich setsof worked example problems” and that of all of the barriers to increasing the use of OER inengineering mechanics courses, this is the most critical barrier to overcome [7]. Table 2. Known (recent) OERs for engineering mechanics courses Lectures and Interactive Principal URL Problem Sets visualizations Field(s) https://web.mst.edu/ Mechanics of MecMovies Yes Yes ~mecmovie/ (obsolete) Materials Engineering
familiesFurther DiscussionThis paper sheds light on protective factors, as well as risk factors that may impact the academicsuccess in STEM for American Indian youth. It also provides insight into some complicated, yetcritical, relationships that impact both teacher and student persistence in schools in Indiancountry. Further research on pre-service and in-service teacher development that highlights andleverages the strengths of the American Indian culture in an effort to engage youth and theirfamilies in academic endeavors should be conducted. References[1] KewalRamani, A., Gilbertson, L., Fox, M., and Provasnik, S. (2007). Status and Trends in theEducation of Racial and Ethnic Minorities (NCES 2007-039
project from the host organization and developing their initial project plan underthe close guidance of their project mentor. The team then moved to the partner site to conduct aRIE to create positive change for the organization. The team was responsible for facilitating anagreed upon definition of the problem, observing and documenting process flows for relatedareas, and collecting and analyzing key data related to the problem. This information was thenutilized to generate potential solutions, finalize and implement the selected solution(s), anddesign and implement appropriate controls to ensure that the problem stays fixed followingsolution implementation. These activities were run as a PDCA cycle consistent with thehealthcare approaches of