technical leader. The program grew steadily, attracted 10 corporate sponsors,and was awarded two major NSF S-STEM grants. The NSF research sought to understand ifearly leadership training resulted in higher graduation and retentions rates and faster time tograduation for academically talented, financially disadvantaged STEM majors. The preliminaryresults indicate a highly positive association.The goal of the LDP has remained the same since inception, help STEM students become futureleaders in industry by providing leadership training and mentoring with a cohort experience ofco-curricular education and community service opportunities. Teaching and modeling authenticproblem-solving to future leaders is an essential strategy and key component of the
counterparts.This lack of diversity in faculty ranks is concerning as a diverse faculty is needed to attractstudents from the U.S.’ changing student demographics [4]. In 2006, underrepresented groupscomprised 28.5% of the population, but only 9.1% of the BS STEM degrees [5]. More than 10years later, women, African American and Hispanics remain significantly underrepresented inSTEM fields, especially in engineering [6]. Having T/TT faculty from underrepresented groupsis critical to help students from all levels (B.S. through post-docs) to succeed in engineering [7].Taking course(s) from faculty of the same demographic background has had a positive impact onthe success of undergraduates from underrepresented groups [8]. Different perspectives fromwomen and
, pp. 231–235, 1999.[4] R. Anholon, I. S. Rampasso, D. A. L. Silva, W. Leal Filho, and O. L. Quelhas, “The COVID-19 pandemic and the growing need to train engineers aligned to the Sustainable DevelopmentGoals,” International Journal of Sustainability in Higher Education, vol. 21, no. 6, pp. 1269–1275, 2020.[5] A. Dale and L. Newman, “Sustainable development, education and literacy,” InternationalJournal of Sustainability in Higher Education, vol. 6, no. 4, pp. 351–362, 2005.[6] ABET, Sustainable Education: Readying Today’s Higher Ed Students to Tackle the World’sGrand Challenges, Multiple Authors, Fall 2018. [Online]. Available: https://www.abet.org/wp-content/uploads/2018/11/ABET_Sustainable-Engineering_Issue-Brief.pdf [Accessed: 8-Feb-2022
.[2] N. Cross, Engineering Design Methods: Strategies for Product Design, 4th ed. West Sussex, England: Wiley, 2008.[3] C. L. Dym and P. Little, Engineering design: A project-based introduction, Third. Hoboken, NJ: John Wiley & Sons, 2004.[4] M. French, J. Gravdahl, and M. J. French, Conceptual design for engineers. London: Design Council, 1985.[5] P. Yock et al., Biodesign: the process of innovating medical technologies, 2nd ed. Cambridge University Press, 2015.[6] J. W. Lee, S. R. Daly, A. Huang-Saad, G. Rodriguez, Q. DeVries, and C. M. Seifert, “A solution in search of problems: a cognitive tool for solution mapping to promote divergent thinking,” J. Eng. Des., vol. 32, no. 6, pp. 300–321, Jun. 2021, doi
CIT21400 course. In this study, we integrated the microlearning instructional approach into CIT 21400to help engage students and retain the knowledge gained through the introduction to datamanagement course. CIT 21400 is a required class for all CIT students and a prerequisite for allother courses in the data-management concentration. Figure 1 shows the current plan of study forthe CIT data-management concentration; we draw particular attention to CIT 21400’s position asa prerequisite course for all data-management courses. Approximately 140 students who enroll inCIT 21400 will directly benefit per academic year. We anticipate seeing learning and performancegains over time as students continue in their programs as an outcome of our research
distribution (both standard deviation and range) ofconscientiousness had positive correlation while the min conscientiousness had negativecorrelation with both novelty and complexity measures of the CPSS evaluation. Agreeablenessand neuroticism had a positive correlation with DQR measures. A plausible causal mechanism isthat agreeableness would improve team collaboration and thereby design team outcome.Interestingly, neuroticism showed a positive correlation with the DQR framework in both theteam maximum and the interval/standard deviation. This implies that having a team member withhigh neuroticism is a positive factor, but it is also beneficial to balance that with team member(s)with lower neuroticism scores. Intellect was found to have
cultural needs of students.Future work regarding the emphasis on science teachers as agents for change will focus on thein-school context of the action research projects. In this regard, qualitative and quantitative datawill be reported on novice teachers' engineering and cultural self-efficacy for teachingengineering processes.16 References[1] T. R. Guskey, "Professional development and teacher change," Teachers and Teaching, vol.8, (3), pp. 381-391, 2002.[2] B. Huang, M. S. Jong, Y. Tu, G. Hwang, C. S. Chai, and M. Y. Jiang, "Trends and exemplarypractices of STEM teacher professional development programs in K-12 contexts: A systematicreview of empirical studies," Comput. Educ., pp. 104577, 2022.[3] J. A
., Lundy-Wagner, V. C., Drezner, N. D., Gasman, M., Yoon, S., Bose, E., & Gary, S. (2009). The contribution of HBCUs to the preparation of African American women for STEM careers: A case study. Research in Higher Education, 50, 1-23.4. Smyth, F. & McArdle, J. (2004). Ethnic and Gender Differences in Science Graduation at Selective Colleges with Implications for Admission Policy and College Choice. Research in Higher Education, 45, 353–381.5. Scriven, O. (2013). Why so few? African American women in STEM—Part II: By the numbers. Scientista. http://www.scientistafoundation.com/scientista-spotlights/why-so- few-african-american-women-in-stem-part-ii-by-the-numbers#sthash.%20HwrVZ5ir.dpuf6. Alliman
potential,” Qual. Quant., vol. 47, no. 2, pp. 659–676, 2013.[9] M. Borrego, M. J. Foster, and J. E. Froyd, “Systematic literature reviews in engineering education and other developing interdisciplinary fields,” J. Eng. Educ., vol. 103, no. 1, pp. 45–76, 2014.[10] V. Braun and V. Clarke, “What can "thematic analysis" offer health and wellbeing researchers?,” Int. J. Qual. Stud. Health Well-being, vol. 9, p. 26152, 2014.[11] C. Robson and K. McCartan, Real world research : a resource for users of social research methods in applied settings, 4th ed. 2016.[12] J. Saldaña, The Coding Manual for Qualitative Researchers, vol. 90, no. 1. 2014.[13] A. S. Hanbazazah, “The Need for Social Intelligence
-time full-time first year students who complete a certificate or degree withinthree years) were in the single digits or low teens.At Wright College and its larger system, these failings – particularly of student success – werewell known for decades. Through a comprehensive series of reforms and changes implementedover five years, rates began to improve. Among the many changes were the implementation ofguided pathways, targeted completion programs (College Completes), customer business models,predictive scheduling, revisions to developmental education, and more [14]. None of these changeswere unique; all were drawn from research on best practices. High level, the community collegesystem followed many of the reforms advocated in Bailey et. al.’s
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 the necessary advising, mentoring, and academic support to facilitate their transition to university life and to prepare them for success in their engineering discipline majors and future careers. American c Society for Engineering
twogroups were statistically comparable (i.e., support groups’ homogeneity), demographics,preparation level, personality types, and VR and gaming experience levels were collected at thestart of the course (see Figure 2 and Table 1). Figure 2. Experimental protocol usedTable 1. The instruments used in this study Instrument Description Event Time Demographics Collects demographic information such as age, gender, and race. It At the beginning of also collects information about the student preparation level (GPA the semester in the and the prerequisite course(s) grade(s)), semester standing
. Capstones courses can be somewhat limited and late in the coursesequence. What is needed is continuous exposure to support consumer value – true productivityto make the needed pedagogical impact. Sadly, recalls abound annually and there is no lack ofexamples.Recalls provide the needed context to engage and enhance a student’s intellectual interest; theneed to identify and solve a problem(s). As students enters individual courses these recalls,within the balanced scorecard milieu, girded by IoT can help to engage student’s intellectual Page 10 of 16curiosity. They can see the direct application of course content throughout their program ofstudy. In addition, the
/resources/SP13_3268_West_Report_2015.pdf.[29] H. Najafi, L. Harrison, C. Geraghty, G. Evans, Q. Liu, and G. antz., "Learning analytics in Ontario post-secondary institutions: An environmental scan," Toronto, ON: eCampusOntario, 2020, Available: https://www.ecampusontario.ca/wp- content/uploads/2020/03/2019-03-27-learning-analytics-scan-en.pdf.[30] J. S. Gagliardi, A. Parnell, and J. Carpenter-Hubin, "The analytics revolution in higher education: Big data, organizational learning, and student success." Sterling, VA: Stylus Publishing, 2018.[31] AIR, EDUCAUSE, and NACUBO, "A joint statement on analytics from AIR, EDUCAUSE and NACUBO." 2019, Available: https://changewithanalytics.com/statement/[32] J
and beyond COVID-19," Education Sciences, vol. 10, no. 9, pp. 236-257, 2020.[20] T. De Jong, M. Linn and Z. Zacharia, "Physical and Virtual Laboratories in Science and Engineering Education," Science, vol. 340, no. 6130, pp. 305-308, 2013.[21] L. Fleming, "Perfecting Cross-Pollination," Harvard Business Review, pp. 22-24, September 2004.[22] E. G. Derrick, H. J. Falk-Krzesinski, M. R. Roberts and S. Olson, "Facilitating interdisciplinary research and education: A practical guide," Science on FIRE: Facilitating Interdisciplinary Research and Education” workshop of the American Association for the Advancement of Science, 2011. Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference
time (s) time (s) time (s) 300 300 320 295 295 p init = 307 kPa 2.71 mm d t = 1 mm 290 290
answer key isQuestion 1 2 3 4 5 6 7 8 9 10Answer c a B a c c d b c aEven though many questions had 4 multiple choice answers some students chose the 5th answerto indicate the did not know the answer. They were asked to chose (e.) if they did not understandto discourage guessing.Problem 2 Laplace Transform (50 pts.)Find the Laplace Transform, G(s) of the following signal, g(t).g(t) = e-2t sin (3wt)3 out of 10 gave correct responses, 3 gave incorrect responses, 5 had no clue.SOLUTIONLet f(t) = sin (wt), then F(s) = w/(s2 + w2)Apply scaling propertyIf f(t) ú F(s), then f(at) ú 1/a F(s/a)Therefore,Let p(t) = sin
Engineering Education Annual Meeting, Salt Lake City, UT.4 IEAust, (1996) “Changing the culture: Engineering education into the future,” Institution of Engineers Australia, ACT 1996.5 Tonso, K., (2007) On the Outskirts of Engineering: Learning Identity, Gender, and Power via Engineering Practice, Rotterdam, The Netherlands: Sense Publishers.6 Romney, A. K., S. C. Weller, and W. H. Batchelder, (1986) "Culture as Consensus: A Theory of Culture and Informant Accuracy," American Anthropologist, 88: 313-38.7 Fox, R.G. (ed) (1991) Recapturing Anthropology: Working in the Present, Sante Fe, NM: School of American Research Press.8 Marcus, G. E. and M. J. Fischer, (1985) Anthropology as Cultural Critique: An Experimental Moment in the Human
population groups are expected to be more than half (52percent) of the resident college-age (18–24 years old) population of the United States by 2050.Additionally, just about a quarter century ago, the National Science Board’s Commission onPrecollege Education in the Mathematics, Science, and Technology (MST) assessed the state ofUS precollege education in the subject fields and found it seriously lacking to meet the projecteddemand.[1]In the late 1980’s the Task Force of Women, Minorities, and Persons with Disabilities in Scienceand Technology called for cooperation among schools, colleges, industry and federal and stategovernments to increase the pool of science and engineering talent, particularly forunderrepresented minority groups, through
tomention a few.3.3 The Lookup Table and Intensity TransformationAll the above intensity transformation (point-processing) operations can be viewed as directly orindirectly performing a lookup table (LUT) based mapping on the input pixel intensities of animage to produce a new set of output pixel intensities for the corresponding pixels, and therebyproducing a modified image. It should be noted that as the name implies, a lookup table is atable that contains a set of all possible (full range) input intensity values arranged in increasingorder R = { r0=0, r1=1 r2=2 …, rk=k …, rL-1=L-1}, and a corresponding set of output (mapped,reassigned) intensity values S = {s0, s1, s2, …, sk, …, sL-1} into which the input intensity valuesare correspondingly
research assistant for the Women in Information Technology Project and a doctoral candidate in Human Development at Virginia Tech.Peggy S. Meszaros, Virginia Tech Dr. Peggy S. Meszaros is the William E. Lavery Professor of Human Development and Director of the Center for Information Technology Impacts on Children, Youth, and Families. She is the former Senior Vice President and Provost at Virginia Tech and has been a faculty member and administrator for 28 years at private and public research universities. She has published over 80 scholarly articles and book chapters on research topics such as academic benchmarking, mother and daughter communication, adolescent decision-making, and the
concept has grown since the late 1950’s. Krupczak andBlake (Blake & Krupczak Jr., 2014) have charted development of the concept, lookingparticularly at the intersection of technological literacy with engineering literacy. It shouldbe noted that the term “technological literacy” is more commonly used in the United Statesthan other nations. A sense of how technological literacy has become more prevalent inconversations on education can be seen by looking at the word frequency of the term usingthe Ngram viewing tool (Google, 2010). While this tool has significant biases and limitations(Pechenick, Danforth, & Dodds, 2015) the relatively high representation of scientific andtechnical literature in the corpus and the fact that “technological
-world issues,and consistent iteration helps both “mitigate design fixation” and “reinforce[s]...adaptive andcreative thinking” (p. 2). University makerspaces serve as a central location for students topractice knowledge learned in the classroom, and hone their design skills.Antonucci-Durgan, et. al (2014), Dukart (2016), and Whitmer (2014) acknowledge academicmakerspaces as spaces where experiential education occurs. Two examples of experientiallearning opportunities are internships and cooperative learning (co-op) programs. Whileinternships and co-op programs are encouraged in engineering education settings, there are fewestablished opportunities of such opportunities at university makerspaces. There is evidence ofseveral university makerspace
verbal (V) ability, in the middle is spatial (S) and math (M) is on the right. STEMstudents, to the right of Figure 1, have an ‘I’ shaped ability profile (i.e. M > S > V), incontrast to the ‘V’ shaped profile (i.e. M ≥ V > S) of the HSS students. Clearly, the ‘I’shaped profile, developed by high school, was a predictor of a STEM education path anddistance travelled on this path. Given that this predictor contains not just math ability butspatial ability also, STEM educators have reason to treat spatial ability in the same way asmath ability: assess incoming students for the ability and provide resources to address anyshortcomings in it. While it is now common to find math learning support centers co-existingbeside engineering schools
representational competence in the context of vectoranalysis. This approach is similar to that taken by Klein et al in developing an RC assessmentfor kinematics [15].Table 1. Summary of vector concepts and representations for each item on the TRCV (v2.0).The representations listed in the two right columns include Pictorial, Symbolic, narrativeLanguage, Numeric, and Diagram. Item Relevant Vector Concepts Representations Question Answers 1 2D, position vectors, vector addition PL S 2 2D, cross product PLS L 3 2D, Cartesian
. 17 References[1] S. J. Poole , and J. F. Sullivan. "Assessing K-12 pre-engineering outreachprograms," Frontiers in Education Conference, vol. 1, pp. 11B5-15, 1999.[2] J. J. Kuenzi, "Science, technology, engineering, and mathematics (STEM) education:Background, federal policy, and legislative action." 2008.[3] S.Y .Yoon, M. Dyehouse, A. M. Lucietto, H. A.. Diefes‐Dux, and B. M. Capobianco, "Theeffects of integrated science, technology, and engineering education on elementary students'knowledge and identity development," School Science and Mathematics, 114, no. 8, pp.380-391,2014.[4] T. J. Moore, and K. M. Tank,"Nature-‐Inspired Design: A PictureSTEM Curriculum forElementary STEM Learning," 2014.[5] T
regulatory move,asking the group “how to work best together?” M2 responds in a joking manner with, “I thinksharing ideas is a good idea,” his gaze moving over the other group members while smiling. M1echoes M2’s response, evoking laughter from all group members. Following this interaction, theGTA addresses a separate, nearby group and offers several suggestions as to how to think aboutthis first bullet point. The group members in the study all look over and listen to the GTA’ssuggestions. After listening to the GTA’s advice, M1 laughs to his group and states, “Well thatdidn't really help.” The group laughs, then goes back to writing independently before F1 asks,“Are you guys writing actual stuff or just generic teamwork things?” M2 responds with a
representations listed in the two right columns include Pictorial, Symbolic, narrativeLanguage, Numeric, and Diagram. Item Relevant Vector Concepts Representations Question Answers 1 2D, position vectors, vector addition PL S 2 2D, cross product PLS L 3 2D, Cartesian components N D 4 2D, Cartesian components, vector addition DNS LN 5 3D, Cartesian components N D 6 3D
, textbooks, letters and diaries in the cause of providing somehistorical context for two centuries of physics education. Table 1. Special Collections Resources. Special Collections Resources Letters of CDT George Cullum USMA 1833, 9 Sept 1831 and 16 June 1832 [31] Letter of CDT John Pope USMA 1842, 24 Nov 1839 [32] Letter of CDT Ulysses S. Grant USMA 1843, 18 July 1840 [33] Letters of CDT William Dutton USMA 1846, 19 Oct 1842 and 3 Sept. 1844 [34] Natural & Experimental Philosophy Notebook of CDT James Runcie USMA 1879 [35] Diary of CDT Charles H. Barth USMA 1879 [36] Letters of CDT George S. Patton USMA 1909 [37] Letters & Diary of CDT Richard Von Schriltz USMA 1941 [38,39] Letters of