. How People Learn: Bridging Research and Practice. New York: National Academies P, 1999.6 Cen, G., Xu, B., Luo, J. Y. 2010. Implementing open-ended project-based instruction in experiment of university physics. 2nd International Workshop on Education Technology and Computer Science, (1) 830-832, 2010.7 Fontenot, D., Chandler, J.R., Talkmitt, S., and Sullivan, K. 2007. The Texas High School Initiative aims at STEM education reform: Texas Tech University T-STEM Center - Putting the "E" in K-12 STEM education. Proceedings of the Frontiers in Education Conference, 37th ASEE/IEEE Frontiers in Education Conference, FIE, F2B1-F2B5,8 Fuentes, A., Crown, S., Freeman, R. 2006. Selective Integration for Student Motivation in the
interested in STEM majors atTAMU and community college representatives interested in building relationships for theirstudents to transfer into STEM majors at TAMU. The STEM Conference program includedresource roundtables for students and one-on-one sessions with faculty and staff forrepresentatives.Other activities such as the NSF Scholarship in Science, Technology, Engineering, andMathematics (S-STEM) were used as both recruitment and retention strategies. The S-STEMsprovided community college transfer students research opportunities, academic and professionaldevelopment seminars, scholarship money to assist in funding students’ education without themhaving work commitments, and establishment of cohorts and the resulting social community tohelp
1990’s, design thinking gained popularity as a way to foster and sustain innovation by Page 24.146.2having work environments that focused on the customer while simultaneously supportingemployee’s experimentation 16. Design thinking is used in all industries from mechanical 1engineering, business, and healthcare to education, art, and design(http://www.byui.edu/clusters/design-thinking).Specifically, design thinking is defined as a human-centered design process to solving ill-structured problems using an organized method of defining the problem by observing andempathizing with the people who are
AC 2007-2785: START: A FORMAL MENTORING PROGRAM FOR MINORITYENGINEERING FRESHMENTony Mitchell, North Carolina State University Dr. Tony L. Mitchell, Lieutenant Colonel United States Air Force, Retired, received his B.S. degree in Mathematics from North Carolina A&T State University, the M. S. in Information and Computer Science from Georgia Tech, and Ph.D. in Electrical and Computer Engineering from North Carolina State University. Currently he is Assistant Dean, Engineering Student Services, Director, Minority Engineering Programs, and Associate Professor of Electrical and Computer Engineering at North Carolina State University in Raleigh. Previous educational assignments include
Negron, Niya King, Tameka Coly and Shaerya Patel .REFERENCES1. Kant, J. M.; Burckhard, S. R.; Kilts, W. K.; Min, K., Increasing Diversity in Engineering: Capacity Building Matters. 2014.2. Schunk, D. H.; Miller, S. D., Self-efficacy and adolescents’ motivation. Academic motivation of adolescents 2002, 2, 29-52.3. Shumow, L.; Schmidt, J. A., Enhancing Adolescents' Motivation for Science. Corwin Press: 2013.4. Schmidt, J. A.; Shumow, L., Change in self-efficacy in high school science classrooms: An analysis by gender. Psychology of self-efficacy. Hauppauge, NY: Nova Science Publishers 2012.5. Zeldin, A. L.; Pajares, F., Against the odds: Self-efficacy beliefs of women in mathematical, scientific, and technological careers
NSF S-STEM grant to increase the recruit- ment, retention and development of underrepresented populations in electrical and computer engineering. She has approximately 20 peer-reviewed publications with two in the Computers in Education Journal. She also recently published a book on Mobile Robotics for Multidisciplinary Study.Dr. Monica Farmer Cox, Purdue University, West Lafayette Monica F. Cox, Ph.D. is an Associate Professor in the School of Engineering Education and is the Inaugu- ral Director of the College of Engineering’s Leadership Minor at Purdue University. She also serves as the Executive Director of the International Institute for Engineering Education Assessment (i2e2a). She ob- tained a B.S. in
facultyencouraged them to think creatively, and how they did not believe faculty went through classmaterial too fast [18]. Boone argues that first-generation students’ belongingness in reference tothese factors were higher than they were for continuing-education students. On the contrary,Benson et al.’s account of one white, male, first-generation student’s perspective on classroombelonging described how he felt faculty only resonated with how some students solved problemsand not all students, particularly those with access to skills and knowledge the student felt helacked [12].Socioeconomic background is often referenced alongside studies on first-generation collegestudents due to the general correlation between low socioeconomic background and first
scenarios.To date, a video vignette with two scenes has been developed and embedded in a survey, whichhas begun to be tested with engineering faculty and students. After validation, it will be deployedto study HC in engineering across different participants, institutions, and engineering disciplines.References[1]. H.A., Giroux, Theory and resistance in education: A pedagogy for the opposition.London: Heinemann, 1983.[2]. F. Kentli, “Comparison of hidden curriculum theories,” European Journal ofEducational Studies, vol. 1, no. 2, pp. 83-88, 2009.[3]. S. Nieto, Affirming diversity: The sociopolitical context of multiculturaleducation. Boston, MA: Pearson Education, 2004.[4]. J.C. Borges, T.C. Ferreira, M.S. Borges de Oliveira, N. Macini, and A.C.F
, Takeaway(s)/Experience(s), and Program Review. Quotesrelating to the primary theme of connectedness were extracted and interpreted. In addition, theword “network” was a common theme in the responses, and relates to connectedness in abusiness sense, so the quotes were re-read to point out any mention of networking in theMotivation category, where it primarily appeared. Table 2 Qualitative Questions 1. What is your academic status? 2. What was your primary goal in attending this conference? 3. What have you learned during your time in the program? 4. What has been the most memorable part of your program experience? 5. What do you like about the [YU?] Program
Research Council(NRC) [4] , “...HBCUs enroll smaller percentages of African American students in S&E majorsthan do PWIs but graduate a larger percentage speaks to the efficacy of these institutions inretaining these students” [p. 156]. This fact debunks the negative message communicated aboutHBCUs only graduating the highest number of Blacks in STEM due to the high percentage ofBlacks enrolled. According to the NRC, the report highlights the effectiveness of HBCUs inincreasing participation and success of minority students. Although HBCUs face challenges suchas flat or declining enrollment because of an inability to compete with other more resourcedinstitutions with scholarship funds for prospective students or online learning opportunities
could indicate apreference for specific topic(s) on their application. The grant team reviewed studentapplications and assigned qualified students to faculty mentors, following student preferences ifthere was sufficient room available in that project. Students selected for the four-week researchexperience were expected to complete the appropriate first-year curriculum for their major beforeparticipation in the program. Students who were not on track to complete the first-yearcurriculum were referred to another summer program at CSUB for first year students who werestruggling with their first-year curriculum. First year transfer students were also accepted if theywere at the lower-division curriculum level within the major. First year transfer
students at HBCUs, foster engineering education research competence withinHBCUs, and add to current literature and information regarding supportive practices forbroadening participation and persistence of engineering students.Methods The researchers implemented an iterative, descriptive research model by including thefollowing steps: (a) engaging research participants; (b) developing data collection strategies; (c)defining variables and constructs; and (d) gathering information and investigating researchquestion(s). The present research study findings are informed by quantitative data analyticsstrand of the larger study.Participants Participants were recruited from four different HBCUs in the United States. Participantsincluded the
identity in CS. Initial validation and reliability testingresults indicate that the tool is both valid and reliable.Related WorkThe review of the literature identified several computing and engineering-related surveys overthe last 15 years that measure students’ attitudes toward and interest in CS and engineering.Table 1 presents the most related surveys, participant grade levels, constructs measured, andmeasurement scale. Table 1. Computing and Engineering-Related Surveys Name Grade Constructs Measurement Level(s) ScaleComputing Undergraduate Transfer, Interest, Problem
Women in Information Technology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Dr. Rebecca Brent, Education Designs, Inc Rebecca Brent is President of Education Designs, Inc., a consulting firm located in Chapel Hill, N.C. She is a certified program evaluator and a faculty development consultant. Brent received
Hispanic Higher Education, 5(3), 203-221.4. Crisp, G., & Nora, A. (2010). Hispanic student success: Factors influencing the persistence and transfer decisions of Latino community college students enrolled in developmental education. Research in Higher Education, 51(2), 175-194.5. Crisp, G., Nora, A., & Taggart, A. (2009). Student characteristics, pre-college, college, and environmental factors as predictors of majoring in and earning a STEM degree: An analysis of students attending a Hispanic Serving Institution. American Educational Research Journal, 46(4), 924-942.6. Harper, S. R., & Quaye, S. J. (2007). Student organizations as venues for Black identity expression and development among African
intendedobjective. We had at least two translations per questions that were compared, which resulted inCATS-S v1. For the second activity, ten (10) graduate students from civil engineeringparticipated in a pilot study. They were asked to answer all 27 items of CATS-s v1, rate theclarity of each question, and provide suggestion to improve unclear questions. Nine (9) of thestudents completed their BA at a Hispanic University from Latin America. CATS-s v2 was thencreated after analyzing their responses. Finally, the third activity completed so far consisted oftesting the protocol to identify if bilingual students exhibit the same misconceptions (commonerrors) than those currently identified in CATS. Ten (10) Hispanic senior students from the civilengineering
experienceto make the idea of STEM more appealing to a wider, diverse group of students.Acknowledgment:The program described in this paper is run by the Center for Diversity and Inclusion ofMichigan Technological University under coordination of Ms. A. Step. The author of thispaper is not a staff member of the Center for Diversity and Inclusion. The author is anassistant professor at the Michigan Technological University and has served as Research Page 25.1214.10Undergraduate Academic Advisor for several students participating in the program.References:[1] S. C. MichiganWorks. "Building the Bridge to Tomorrow’s STEM Careers." http://www.scmw.org
Manchester, United Kingdom. Retrieved 6 December 2007 from http://www.ineer.org/Events/ICEE2002/Proceedings/Papers/Index/O065-O070/O069.pdf.5. Eccles, J.S. (2007). Where are all the women? Gender differences in participation in physical science and engineering. In S. J. Ceci & W. M. Williams (Eds.), Why aren't more women in science? Top researchers debate the evidence (pp. 199-212). Washington, DC: American Psychological Association.6. Eccles, J. S.(1994). Understanding women’s educational and occupational choices — Applying the Eccles et-al model of achievement-related choices. Psychology of Women Quarterly, 18, 585–609.7. Felder, R. & Brent, R. (2005). Understanding student differences. Journal of Engineering
that engineering students have to have an innate initial propensity inmathematics versus an ability that is learned. For these reasons, many students who did not fare well in the traditional high schoollevel math sequence, attempting to try a similar path in college may be settingthemselves up for a repeat conclusion. According to Snyder and Dillow (2011), morethan 1.7 million students enter the community college system. Based primarily uponperformance on a placement test, approximately 60% of these students are placed intoone, if not more, developmental mathematics course(s). Fully 80% of them do notcomplete any college-level mathematics courses within as many as three years (Bailey,Jeong, & Cho, 2010).At our North Dakota Tribally
FlexibilityThe NASA Administrator’s Fellowship Program allows flexibility on the startingdate. This is a conducive to the individual faculty’s schedule to return to theinstitution on the anticipated date upon completion of the fellowship at a NASAcenter.Results and Outcomes1. Management and LeadershipManagement and leadership skills are developed via individual standing on theproject(s) and exercising necessary freedom of work ethics. Flexible schedule ofworking is a great advantage for the fellows. Often the fellows take advantage ofenjoying working during the weekends without hesitation. The gathering of thefellows administered by the UNCFSPC gives an opportunity to know each otherand may lead to future collaborations. This expansion of horizon
of the ACM, 47(7).4. Fleming, L., Engermann, E., & Griffin, A. (2005). Persistence in Engineering Education: Experiences of First Year Students at a Historically Black University. In Proceedings of the American Society for Engineering Education (ASEE) Annual Conference and Exposition, Portland, Oregon.5. Seymour, E. & Hewitt, N. M. (1997). Talking about Leaving: Why Undergraduates Leave the Sciences. Boulder, CO: Westview Press.6. Brainard, S., & Carlin, L. (1998). A Six-year Longitudinal Study of Undergraduate Women in Engineering and Science. Journal of Engineering Education, 87(4).7. Marra, R., Bogue, B., & Schuurman, M. (2005.) They Come and They Go -- An Instrument for Assessing Why
Set positive learning belief and U gi til a te compare it with goals Plan, motivation; ize s tr Reflect on the effectiveness of Aware of different learning
include, but are not limited to arekindling of Native American pride as a result of the 1970’s Red Power movement, the growthin wealth and power of tribal governments coupled with loosening tribal membershiprequirements, continued racial intermarriage, as well as changes to the way Native Americanswere counted on the 2000 Census.28, 29 The State of Oklahoma is second to California in thenumber of Native Americans citizens living within its borders. Thirty-nine federally recognizedtribes reside in Oklahoma.The geographic location of our university and the legacy relationship with many college eligibleindividuals contributes to the high Native American enrollment. Financial incentives, includingout-of-state tuition waivers for students who belong
on student attitudes towards careers and research inSTEM and has increased their awareness of the skills needed for success in STEM careers.However, students seem to be less confident in the skills that they need for a career in STEMafter participating in research work. Further investigation is needed to determine the cause of theloss in confidence.AcknowledgementThis material is based upon work supported by the Department of Education Minority Scienceand Engineering Improvement Program under Grant No. P120A140051. Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the Department of Education.BibliographyBauer, K., & Bennett, J. (2003
student’s self-efficacy and expectedacademic outcomes. Brown observed two key findings that should be noted here. First, theresearchers found that high school performance measures (i.e. GPA) appeared to have a moresignificant contribution towards predicting a student’s self-efficacy beliefs than academicaptitude measured by standardized test scores (z=15.16, p from http://www.engr.psu.edu/AWE/ARPresources.aspxRobbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261Sass, T. (2015, January). Understanding the STEM pipeline (Working Paper
Conference, 2004.[3] Komerath, N. M. and Smith, M. J., “Mentoring Students to Technology Careers”, Proceedings of the 2004 ASEE Annual Conference, 2004.[4] Kukulka, D. J., Barker, D. S., Favata, J. and Sanders, R., “Implementation of the Computer Science, Engineering Technology, and Mathematics Scholarship (CSEMS) Program at Buffalo State College”, Proceedings of the 2004 ASEE Annual Conference, 2004.[5] Moskal, B. M., Lasich, D. and Middleton, N., “Science Related Degrees: Improving the Retention of Women and Minorities through Research Experience, Mentoring and Financial Assistance”, Proceedings of the 2001 ASEE Annual Conference, 2001.[6] Bayles, T. M., Spence, A. M. and Morrell, C., “Improving the Freshman Engineering Experience
assessment test consists of 10 basicalgebra and Trigonometry problems with 50 points in total.Here is one question that is usually failed by low level students, and usually passed byintermediate level students: Given sin x = ¾, find tan x.Here is one question that is usually failed by intermediate level students, and usually passed byhigh level students: 250 m/s = _________mi /h. At first glance, this conversion looks easy,however, it involves simultaneous conversions both in length and in time, so it not automaticallyavailable in any calculator. Page 23.11.3Notice that many important substantive decisions are made by engineering professors:scheduling
School (Female) Middle School (Female) 5 7 3 8 Total male: 12 Total female: 11Pretest/posttest comparison has been done for 21 participants as depicted in Figure 1. Twoparticipants were unable to take the posttest due their involvements in other campus summeractivities. Pretest/Posttest Comparision 40 y = 0.0241x + 29.72 T R² = 0.0016 e 35 s
, January 2018. “Women and Men in STEM Often at Odds OverWorkplace Equity”[5] Vygotsky, L.S. (1978). Mind in society: The development of higher psychological processes.Cambridge, MA: Harvard University Press.[6] Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Journal ofChild Psychology and Psychiatry, 17(2), 89-100.[7] Collins, A., Brown, J.S., & Newman, S.E. (1989). Cognitive apprenticeship: Teaching thecrafts of reading, writing, and mathematics. In L. B. Resnick (Ed.) Knowing, learning, andinstruction: Essays in honor of Robert Glaser (pp. 453-494). Hillsdale, NJ: Lawrence ErlbaumAssociates.[8] Russell, S. H. (2006). Evaluation of NSF support for undergraduate research opportunities:Follow-up survey