), National Center for Education Research, Washington, 2007, pg. 1-34.13 Bjork, R. A., J. Dunlosky and N. Kornell, “Self-regulated Learning: Beliefs, Techniques and Illusions,” Annual Review of Psychology, Annual Reviews, 64, 2013, pg. 417-444.14 Moulton, Carol-Anne E., Adam Dubrowski, Helen MacRae, Brent Graham, Ethen Grober, and Richard Reznick, “Teaching Surgical Skills: What Kind of Practice Makes Perfect?” Annals of Surgery, Lippincott Williams & Wilkins, 244:3, Sep. 2006, pg. 400-409.15 Blackwell, Lisa S., Kali H. Trzensniewski, and Carol S. Dweck, “Implicit Theories of Intelligence Predict Achievement Across an Adolescent Transition: A Longitudinal Study and an Intervention,” Child Development, Society for
aid, first-generation college-attendance and socioeconomic status.Research Question: Is there a critical threshold (minimum) for high school grade point averageand standardized test score(s) that accurately predicts underrepresented minority student success,defined as six-year graduation, in engineering? Does the threshold vary by higher educationinstitution? We investigated whether the data supports using a singular combined threshold usingboth high school grade point average (HSGPA) and standardized test scores, or whether the datasuggests using another model for predicting success in engineering as measured by a six-yearengineering graduation rate.Background: During 2005-2015, 81% of all U.S. undergraduate engineering degrees wereawarded
., vol. 3, no. 2, pp. 77-101, 2006.[18] L. Archer, J. DeWitt, J. Osborne, J. Dillon, B. Willis, and B. Wong, “‘Not girly, not sexy, not glamorous’: primary school girls’ and parents’ constructions of science aspirations,” Pedagog. Cult. Soc., vol. 21, no. 1, pp. 171-194, 2013.[19] C. Murphy and J. Beggs, “Children’s perceptions of school science.,” Sch. Sci. Rev., vol. 84, no. 308, pp. 109-116, 2003.[20] J. Osborne, S. Simon, and S. Collins, “Attitudes towards science: A review of the literature and its implications,” Int. J. Sci. Educ., vol. 25, no. 9, pp. 1049-1079, 2003.
eight designers in industry who were invited to evaluate senior design projects in the fall of2019. They appreciated the addition of large interdisciplinary teams with increased complexityand scope, but noted that those projects were in a completely different category from thoseproduced by smaller single-discipline teams. They added that they were only interested inreviewing the interdisciplinary projects.References[1] S. Datar, D. Garvin, & P. Cullen, “Rethinking the MBA: Business education at a crossroads.” Harvard Business Press, Boston, MA, 2010.[2] S. Mendo-Lazaro, B. Leon-del-Barco, E. Felipe-Castano, M. Polo-del-Rio, and D. Iglesias- Gallego, “Cooperative Team Learning and the Development of Social Skills in Higher
work supported by the National ScienceFoundation under Grant No. (NSF 1845979). Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. Support was also provided by Ms. CarolineCarpenter, the President of East Coast Construction Services and Executive Member of thePiedmont Chapter of the National Association of Women in Construction (NAWIC).ReferencesAssociation of American Colleges and Universities, “Facts and Figures: The income gaps inhigher education enrollment and completion,” AAC&U News – Insights in Campus Innovationsand Liberal Education, June/July 2018. [Online]. Available: https://www.aacu.org/aacu
Paper ID #31472Exposure of undergraduate research students to entrepreneurialactivities to motivate future research careersProf. Ranji K Vaidyanathan P.E., Oklahoma State University Dr. Ranji Vaidyanathan is presently the Varnadow Professor of Materials Science and Engineering at the Helmerich Research Center at OSU Tulsa. He was previously the Director of the New Product Develop- ment Center (NPDC) and the Inventors Assistance Service (IAS) at Oklahoma State University. Dr. Vaidyanathan has eighteen U. S. patents and twenty-two pending patent applications. He has de- veloped six different products from concept stage to
1 month after site visit 11. Office of Assessment distributes narrative report to 1 week after receipt of narrative report Department chair, Dean, and others involved in site visit; department distributes to program faculty and staff and initiates discussions regarding improvement 12. Office of Assessment meets with department chair Before November of next academic year and college dean to discuss recommendations and identify outcome(s) to be added to program’s IE plan. 13. Office of Assessment enters outcomes into IE plan. By December of next academic year 14. Department report on progress of outcomes annually. July 1st (annually)team. A team of 4 to 6 members - 2 to 3 external reviewers (at least
, c, d, a, c, d, b, d 15References[1] H.R. Goldberg and C.D. Hanlon, “The Knowledge Paradox: The more I know, the less I canclearly explain,” Medical Education 53:13-14, 2019.[2] M. Prince, “Does Active Learning Work?” Journal of Engineering Education, Vol 93, Issue3, pp 223-231, July 2004.[3] S. Freeman, S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, and M.P.Wenderoth, “Active learning increases student performance in science, engineering, andmathematics.” Proceedings of the National Academy of Sciences, 111(23), 8410–8415, 2014.http://www.pnas.org/content/111/23/8410[4] S.J. Dickerson, R.M. Clark, and A. Jain, (2017) No
. Raspberry Pi #1 (located on the robot) read the room information, actuated themotors, and collected and processed images of the warehouse. Raspberry Pi #2, which handledall of the path planning and tweeting to indicate the start and end of the challenge. These are justthree examples of the seven different ways students in the distributed-expertise section stitchedtogether their knowledge to solve the warehouse robot challenge. Figure 4: Three Example System Diagrams for Warehouse Robot ProjectTable 3 below summarizes the solution diversity data based on our qualitative analysis of thefinal project submissions and the availability of examples for each section. These data aredescribed using a none-few-some-many s cale to qualitatively
andInterpret the Results", Interaction Design Foundation. [Online]. Available:www.interaction-design.org/literature/article/stage-2-in-the-design-thinking-process-define-the-problem-and-interpret-the-results.[10] M. Ovando, "Constructive Feedback", International Journal of Educational Management,vol. 8, no. 6, pp. 19-22, 1994.[11] A. Bandura, "Self-Efficacy", in Encyclopedia of Human Behavior, 4th ed., V.Ramachaudran, Ed. New York, NY: Academic Press, 1994, pp. 71-81.[12] S. Dalton (2012). The 2-Hour Job Search (1st ed.). New York, NY: Ten Speed Press.[13] S. Iyengar and M. Lepper, "When choice is demotivating: Can one desire too much of agood thing?", Journal of Personality and Social Psychology, vol. 79, no. 6, pp. 995-1006, 2000.
2023,shortly after they completed their respective interventions.SurveysTo understand the interventions’ impact on sense of belonging and engineering identity, programparticipants responded to a retrospective pre- and post-questionnaire that combined two validatedsurvey instruments: Godwin’s [9] engineering identity scale and Hanauer et al.’s [11] measure ofpersistence in the sciences (PITS). The PITS combines five other validated instruments thatmeasure project ownership-emotion, project ownership-content, science identity, self-efficacy,scientific community values, and networking on a five-factor scale. These variables have beenshown to predict psychological factors that influence students’ intent to stay in science andengineering
response) question was also asked to the survey participants: “Can you tellabout the impact of attending one or both of the Summer (Re)Orientation program(s) on youracademic performance and social experience at FSC since then.” Responses from Year 2 EoSsurveys provided further insights about positive impact of summer orientation program on theattending women such as “I made more friends, connections, and help for studying andhomework”, “I made more friends, connections, and help for studying and homework.”,“Attending the re-orientation meetings has helped me learn how to come out of my comfort zoneand to speak up confidently”, and “I felt less alone being a minority in the computer scienceprogram”Responses also provided insights about the
when responding to an interview questionabout how they fit in their computer science departments. It illuminates what students view asimportant when they describe their sense of belonging in that we can see what they choose to tellabout and what they view as important aspects of their departmental fit.The first component named in Allen et al.’s [1] framework is competencies. These are social,emotional, and cultural competencies, which help a person relate to others in the targetcommunity (in the case of our study, the computer science department). Essentially,competencies are skills and abilities that enable relating and connecting. They are what allowrelationships to form and people to interact. Without competencies, one would miss social
-1b94dfeccfff.html. [Accessed Sep 15, 2022].[4] Louisiana Board of Education, 2019-2020 Educator workforce report. [Online],Available: https://www.louisianabelieves.com/docs/default-source/teaching/2019-2020-state-educator-workforce-report.pdf. [Accessed Oct 15, 2022].[5] S. Newman, Replacing remedial courses? Be careful. The Chronicle of HigherEducation, Feb 2019. [Online]. Available: https://www.chronicle.com/interactives/Trend19-Remediation-Opinion . [Accessed: Oct 10, 2019].[6] M. T. Tatto, J. Schwille, S. Senk, L. Ingvarson, R. Peck, and G. Rowley, Teachereducation and development study in mathematics (TEDS-M): Policy, practice, and readiness toteach primary and secondary mathematics. Conceptual Framework, 2008.[7] X. Chen, STEM
objectives of the FDS program, and theircontributions are deeply appreciated.References[1] J. Roy and A. Erdiaw-Kwasie, “Engineering and Engineering Technology by the Numbers 2022,” By the Numbers, https://ira.asee.org/wp- content/uploads/2023/12/Graduate-Engineering-Rankings-December-2023.pdf (accessed Feb. 7, 2024).[2] S. Hurtado, Enacting Diverse Learning Environments. Jossey-Bass, 1999.[3] Santiago, Sotto, and Sylk M. What Gets Lost in the Numbers: A Case Study of the Experiences and Perspectives of Black and Latino Faculty in Academic Medicine. 1 Jan. 2017. Accessed 8 Feb. 2024.[4] Villarejo, Merna, et al. “Encouraging Minority Undergraduates to Choose Science Careers: Career Paths Survey Results.” CBE—Life
concentrated on particular disadvantaged populations, they become aninequity built into societal structure; that is, they constitute a structural inequity. In the case of themarket for used cars, much has been done since the 1970’s to mitigate structural inequity, and wecan certainly learn from them in addressing inequities in the transfer student market.2.1 Expert Verification and HistoryA major contributing factor to information asymmetry in the used car market is the fact that carsare highly complex mechanical structures, making it exceedingly difficult for non-experts to assesstheir quality. One method buyers have for dealing with this is through expert verification, namely,by having a trained mechanic inspect a car prior to purchasing it.We
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–English Composition II) as college students or as high school Advance Placement (AP) ones.For this study the produced technical reports were assessed by the following “quality indicators,”where “completeness” refers to the inclusion of the information and level of detail expected intypical engineering technical reports: - Overall organization - Introduction completeness - Solution(s) communication: description in text; figures quality and pertinency; figure titles (legends), captions and organization; and adequate integration of text and figures - Results communication (i.e., post-design success, problems or failures): description in text and figures (quality, pertinency, and titles) - Conclusions and
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by its inclusion in the 2017-2018 biennial report of the NSF’s Committee on Equal Opportunities in Science and Engineering(13) presented to the U.S. Congress, which states that: “[s]upported by NSF’s Division ofEngineering Education and Centers, this REU site is directed by NSF Faculty Early CareerDevelopment Program awardee […] to provide undergraduate students with Attention DeficitHyperactivity Disorder (ADHD) with interdisciplinary research experience in the cyber andphysical security aspects of critical infrastructure resilience. […] This effort is changing theeducation paradigm from deficit–based to strength–based and make engineering education moreinclusive of diverse learning and thinking styles.”The impact of the program on the
. Dorneich, W. Rogers, S. D. Whitlow, and R. DeMers, “Human performance risks andbenefits of adaptive systems on the flight deck,” International Journal of Aviation Psychology,vol. 26, pp. 15-35, 2016[2] B. Seijo-Pardo, I. Porto-Díaz, V. Bolón-Canedo, and A. Alonso-Betanzos, “Ensemble featureselection: Homogeneous and heterogeneous approaches,” Knowledge-Based Systems, vol. 118,pp. 124–139, 2017[3] X. Li, J. Zhang, and J. Han, “Trajectory planning of load transportation with multi-quadrotors based on reinforcement learning algorithm,” Aerospace Science and Technology, vol.116, 2021[4] L. Zhang, B. Whiteley, D. K. Sharma, I. Dabipi, W. L. Brown, W. Zhu, and X. Tan, “On theexploration of game-based learning in STEM education with the development and