addition of a single cubic term whosecoefficient is a . This fact renders the cubic law as a simple extension of the traditional result.Some sample trajectories are displayed in Figs. 4 and 5 for (respectively) o 45 and 60 . Thetrajectory cases correspond to 1.5 , 1.0 , 0.5 , and 0.0 in each figure. Also, vo 10 m/s andg 9.81 m/s 2 were utilized to generate these particular results. These figures were created withthe chart-production capabilities available within an EXCEL® workbook. The solid and dashedcurves identify results generated with the approximate and exact solutions (respectively), but itwas not possible to obtain experimental results for a comparison with the exact and approximateresults, given the limitations imposed for
-generation peers when a given situation causes opposing valuesto confront, such as prioritizing familial responsibilities versus individual responsibilities.Further analyses of the survey and other measures, such as the VAI, will help better understandthese connections.Many of the FIG mentors commented how much they enjoyed incorporating the DEI panel torepresent a more diverse group of students. Though many of the same themes reoccurred fromone panel to another, such as seeking tutoring services and getting involved on campus, eachgroup of panelists was dynamic and unique.The panelists were interviewed to get their perceptions about the DEI panel(s) and suggestionsfor future panels. Interesting subjects emerged from the interviews that offered some
rate is controlled by changing the position of a ball valvemounted before the meter. Calibration showed that this meter’s rotation rate increases linearlywith increased flow rates within this range tested. Details of the experimental apparatus areprovided in Appendix A and the lab manual is provided in Appendix B. Mass Flow Rate vs Electronic Meter Reading 0.40 0.35 Mass Flow Rate (kg/s) 0.30 0.25 0.20 0.15 0.10
pastwork [1] to communicate the same ideas about types of behavior to the participants. How canwe know whether participants understood the same concepts that the vignettes were intendedto portray? Each time a participant indicated that a particular individual on their teamexhibited a particular behavior based on their reading of the vignette, one of the open-endedquestions asked was: “In what way do you feel ______'s behavior during the project is/wassimilar to the passage above?” These responses were randomized and de-identified. The web-based computer software Dedoose was used to code all 366 excerpts based on the 11 originalbehavior definitions independently of which behavior the participant had intended to indicate.A given excerpt could be
Electrical Engineering at LJMU, for his support of this project.References1. Amabile, T. M. (1996). Creativity in context: Update to the social psychology of creativity. Boulder, CO: Westview Press.2. Charyton, C., & Merrill, J. (2009). Assessing general creativity and creative engineering design in first year engineering students. Journal of Engineering Education, 98(2), 145–156.3. Howard, T. J., Culley, S., & Dekoninck, E. (2008). Describing the creative design process by the integration of engineering design and cognitive psychology literature. Design Studies, 29(2), 160– 180.4. Mumford, M. D. & Gustafson, S. B. (1988). Creativity syndrome: E-integration, application, and innovation. Psychological Bulletin, 103(1), 27
, “Engineering Major Selection: An Examination of Initial Choice and Switching Throughout the First Year,” in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, 2016.[2] S. M. Lord, M. W. Ohland, R. A. Layton, and M. M. Camacho, “Beyond Pipeline and Pathways: Ecosystem Metrics,” J. Eng. Educ., vol. 108, no. 1, pp. 32–56, 2019.[3] M. K. Orr, C. E. Brawner, M. W. Ohland, and R. A. Layton, “The Effect of Required Introduction to Engineering Courses on Retention and Major Selection,” in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, 2013.[4] M. K. Orr, C. E. Brawner, S. M. Lord, M. W. Ohland, R. A. Layton, and R. A. Long
Maturity Model (CMM) intosoftware engineering was developed by the Software Engineering Institute of CarnegieMellon University in 1987. The integrated version (CMMI) evolved from this early work.ABET’s Criteria 2000 was inexorably linked to the quality assurance fervor of the 1990’s[2-7]. However, the work involved in preparing for accreditation is enormous, and facultymembers do not always find the direct benefit of such work. As a result, some nontechnicalfaculty members have even resorted to excoriating the entire outcomes-based approach ofthe accreditation process publicly [8].The classroom instructors of many undergraduate courses are burdened with severalchallenges such as large class sizes, dwindling instructional support and the need to
Paper ID #28572How Extra Credit Quizzes and Test Corrections Improve Student LearningWhile Reducing StressDr. Brian Scott Rice, Rochester Institute of Technology Dr. Brian S. Rice is an assistant professor in the Manufacturing and Mechanical Engineering Technology Department at Rochester Institute of Technology since 2016. He joined the RIT faculty after spending over 25 years in applied research while working at University of Rochester Laboratory for Laser Ener- getics, Lockheed Martin Corporation, and Eastman Kodak Company. Areas of applied research include system dynamics and controls, solid mechanics, heat transfer, and
Task 4 status bar in Figure 1. It has been a fulfilling journey for all the instructors and thestudents on both trips. However, there have been multiple instances throughout the journey whenwe would almost have to give up when significant challenges emerged.The strategies that we have used to overcome those challenges to enable this successful initiativeof an engineering faculty-led course will be shared in this paper. Being prepared to be flexibleand responsive to each situation is a must. It should also be pointed out that one can only beresponsible for the things s/he can have an effect on, but s/he cannot and should not feelresponsible for external discouraging factors, such as local political situations, change inleadership support
climate, including norms, values, and prac�ces,the study suggests that the experiences of Black engineers are shaped by the prevailing a�tudes withintheir workplace. This includes the extent to which diversity and inclusion are embraced, the degree ofsupport provided by leadership, and the presence of inclusive policies that consider the uniquechallenges faced by Black professionals (Lukas, Goodman, 2015; Ray, 2019).S�ll, Black wellness is not priori�zed. Research by Dobbin and Kalev (2016) sheds light on the persistentchallenges related to diversity ini�a�ves within organiza�onal structures, par�cularly regarding Blackwellness. The study iden�fies systemic shortcomings that contribute to the neglect of Black well-being,exacerba�ng challenges
, students, workers, or something in between? Though Ipersonally believe that doctoral engineering students exist outside of this binary discussionbecause of their important societal role in contributing to knowledge, within the binary they docontribute economically and do work that they are not sufficiently compensated for. They dowork, plain and simple.I am not alone in this line of thinking. Legally, the classification of graduate students asemployees has gone back and forth since the 1990’s. At private institutions, this dispute fallsunder the National Labor Relations Act. Specifically, the decision as to whether or not graduatestudents at private institutions are employees falls under the National Labor Relations Boardwhich is a board made up
, when the subjects rural teachers taught was liberal arts, the teachers’ teaching beliefs significantly positively influenced classroom evaluation practice(β=0.38, SE=0.09, t(196)=4.45, p<0.001); when teaching sciences subjects, the influence of teaching beliefs on classroom assessment was further strengthened, indicating that for rural teachers teaching sciences subjects, the impact oftheir teaching beliefs on classroom evaluation was more significant (β=0.69, SE=0.08,t(196)=9.11, p<0.001). Figure 3 Moderating Effect Model of the Type of Subject Study 3’s findings indicate that the influence of rural teachers’ teaching beliefs ontheir classroom evaluations within a STEM education context is dependent on
innovations in project management practices. Aligning academic approaches with industry usage is crucial for bridging the gap and fostering a workforce ready to harness the potential of AI in project management. References[1] S. Makridakis, “The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms,” Futures, vol. 90, pp. 46–60, Jun. 2017, doi: 10.1016/j.futures.2017.03.006.[2] T. Brown et al., “Language Models are Few-Shot Learners,” Adv. Neural Inf. Process. Syst., vol. 33, pp. 1877–1901, 2020.[3] N. Glaser, “Exploring the Potential of ChatGPT as an Educational Technology: An Emerging Technology Report,” Technol. Knowl. Learn., vol. 28, no. 4, pp. 1945–1952, Dec. 2023, doi: 10.1007/s10758-023-09684-4.[4] A
CSP framework. Secondly, a framework for the use of CSPin praxis and research within the SSA context is proposed drawing on Onwuegbuzie et al.’s(2012) methodology literature analysis. Findings present an adapted CSP framework for SSA,comprising 11 tenets for asset-based research. They highlight CSP’s adaptability across contexts,underscoring its importance in SSA STEM education.Keywords: culturally sustaining pedagogy, asset-based education, exemplary teaching,inclusion, transferability, Sub-Saharan AfricaBackgroundResearch shows that teaching practices that are more contextual and inclusive of students’cultural backgrounds and experiences enhance students' learning [1]. It is this awareness ofimproved learning outcomes that paved the way for
–22, 1996.[3] J. Engle, “Postsecondary access and success for first-generation college students,” in American Academic, vol. 3, 1 vols., 2007, pp. 25–48.[4] D. C. York-Anderson and S. L. Bowman, “Assessing the college knowledge of first- generation and second-generation college students,” J. Coll. Stud. Dev., vol. 32, no. 2, pp. 116–122.[5] P. Terenzini et al., “The transition to college: Diverse students, diverse stories,” Res. High. Educ., vol. 30, pp. 301–315, 1994.[6] N. M. Stephens, S. A. Fryberg, H. R. Markus, C. S. Johnson, and R. Covarrubias, “Unseen disadvantage: How American universities’ focus on independence undermines the academic performance of first-generation college students,” J. Pers. Soc. Psychol., vol
theory model by usingTable 1: Summary of the studies selected to answer the RQs Works based on the conceptual framework of Perna’s model Implications for Author(s) / Year Purpose Population / Contexts Constructs / Methods practice or research Registrations information
, “Where is the engineering I applied for? A longitudinal study of students’ transition into higher education engineering, and their considerations of staying or leaving,” European Journal of Engineering Education, vol. 41, no. 2, pp. 154–171, Mar. 2016, doi: 10.1080/03043797.2015.1056094.[4] M. Meyer and S. Marx, “Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering,” Journal of Engineering Education, vol. 103, no. 4, pp. 525–548, 2014, doi: 10.1002/jee.20054.[5] B. Geisinger and D. R. Raman, “Why They Leave: Understanding Student Attrition from Engineering Majors,” International Journal of Engineering Education, vol. 29, no. 4, pp. 914–925, Jan. 2013.[6] National Academy of Engineering
developspatial skills and interest in engineering through play, which may ultimately encourage them topursue engineering pathways in the future.IntroductionThere are many research reports and studies that highlight the gender gap between men andwomen in engineering fields [1]. In 2018, 22.2% of bachelor’s degrees in engineering wereearned by women [2]. Additionally, in 2019, among those with science and engineering (S&E)degrees, 15.98% of women worked in S&E occupations (compared to 35.38% of men) [2]. Thegap between the number of women and men earning engineering degrees as well as the numberof women pursuing science and engineering careers suggests the need to improve and supportwomen’s participation in engineering fields.One factor that may
Disengagement in Engineering Education?," Science Technology Human Values, vol. 39, no. 1, pp. 42-72, 2014.[2] E. A. Cech and H. M. Sherick, "Depoliticization and the Structure of Engineering Education," in International Perspectives on Engineering Education, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham and B. Newberry, Eds., 2015, pp. 203-216.[3] W. Faulkner, "Dualisms, hierarchies, and gender in engineering," Social Studies of Science, vol. 30, no. 5, pp. 759-792, 2000.[4] W. Faulkner, "'Nuts and Bolts and People': Gender-Troubled Engineering Identities," Social Studies of Science, vol. 37, no. 3, pp. 331-356, 2007.[5] N. P. Gaunkar, N. Fila and M. Mina, "Broadening Engineering Perspectives by Emphasizing
provide the average duration of their commute, and those wholive off-campus are asked whether they live with the individuals who raised them as children andwhether they have responsibilities to care for children themselves. This demographic informationTable 1: Dependent Variables Variable Construct and Source Survey Items (Adapted) Classroom “Perceived Classroom Please rate your agreement with the following statements, which Comfort Comfort” from Hoffman et relate to your comfort levels about having discussions, academic, al.’s “Sense of Belonging personal, or otherwise, with members of the Cal State LA Scale” [12] community
research mentors to attend outreach events with their students at the start of the student’s program as a sign of encouragement and commitment to broader impacts.AcknowledgmentsThis work was supported by NSF awards #1914490 and #2115169. We would also like to thankDr. Lynn Nordstrom, external evaluator for both CWE and TN, for her knowledge andcontributions to the survey development and data visualization.References[1] L. R. Sandmann and D. O. Jones, Eds., Building the field of higher education engagement: foundational ideas and future directions. Sterling, Virginia: Stylus Publishing, LLC, 2019.[2] S. M. Watts, M. D. George, and D. J. Levey, “Achieving Broader Impacts in the National Science Foundation, Division of Environmental
-O.-13 Rep. Ryan, Chips and Science Act. 2022. Accessed: May 09, 2024. [Online]. Available: https://www.congress.gov/bill/117th-congress/house-bill/4346[3] “Chipping Away: Assessing and Addressing The Labor Market Gap Facing the U.S. Semiconductor Industry,” Semiconductor Industry Association & Oxford Economics, Jul. 2023. Accessed: May 09, 2024. [Online]. Available: https://www.semiconductors.org/chipping-away-assessing-and-addressing-the-labor- market-gap-facing-the-u-s-semiconductor-industry/[4] S. Kurinec, M. Jackson, T. Schulte, N. Kane, E. Lewis, and S. Gupta, “Microelectronic Engineering And Nanotechnology Education For Undergraduates And Pre College Students Through Curriculum
, 2010, Forthcoming.[2] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang, “Why are some STEM fields more gender balanced than others?” Psychological bulletin, 143(1), 1-35, 2017, https://doi.org/10.1037/bul0000052[3] J. M. Jebsen, K. Nicoll Baines, R. A. Oliver, and I. Jayasinghe, “Dismantling barriers faced by women in STEM,” Nature Chemistry, 14(11), 1203-1206, 2022, https://doi.org/10.1038/s41557-022-01072-2[4] C. O’Connell, and M. McKinnon “Perceptions of barriers to career progression for academic women in STEM,” Societies, 11(2), 27, 2021, https://doi.org/10.3390/soc11020027[5] M. Swafford and R. Anderson, “Addressing the Gender Gap: Women's Perceived Barriers to Pursuing STEM Careers,” Journal of Research in
education, and 4) an emphasis ofavailable medical and STEM education resources for SVSM. Then, as a team, we formedupdated categories that became the structure of the training itself: Background, transition,resources, and a call to action.Beginning with a general overview section, the purpose behind the training along with settingdesired intentions with the audience, along with a pre-survey to gauge initial participantunderstanding sets a tone and creates a sense of direction. This section can also be utilized tointroduce the speaker(s), rationale for why the training is being presented to the given audience,and positionality of those presenting, although time is also reserved for the speaker(s) tointroduce positionality as an activity via the
understanding how AI-powered tools can enhance learning experiences, particularlyin fields requiring tailored support, such as engineering education.AcknowledgementsThis material is based upon work supported by the National Science Foundation under MCAGrant No. 2120888. The first author (MV) was supported by an NSF Research Traineeship(TRANSCEND) under Grant No. 2152202 at the time this research was conducted. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.The authors greatly appreciate the support of Trent Alsup, Jada Vercosa, Brian Hance, andAbhiram Gunti in the initial development of the GPT platform.Finally
codeswere collaboratively compared and discussed, and final coding was unanimously agreed upon.The results and associated discussion focus on three participants from this 16-student cohort,focusing on the academic system context(s) that are potentially malleable by universities. Theselected participants include an African-American female, an African-American male, and aCaucasian female. These students were chosen per the following criteria: a) member of anunderrepresented group in engineering, b) a substantial number of codable comments from theinterview transcript, and c) cumulative coded transcript comments that are overall representativeof comments from the larger, 16-member cohort.ResultsResults are presented for the three participants
encounter along with a tendency to engage inengineering-like tasks from an early age [10]. These attitudes are likely to positively affectstudents’ engagement with their engineering studies. More research is needed to betterunderstand whether these factors play a similar role for transfer students and which other assetsand challenges are relevant to their unique engineering journeys.Thus, the current study aims to explore the challenges and obstacles along with the invaluablepersonal assets of engineering transfer students enrolled in an NSF S-STEM scholarship programfor academically talented, community college transfer students with unmet financial needs fromdiverse backgrounds. More specifically, we analyzed essays from 122 engineering
publication timeline andtrends, workforce populations studied, types of non-degree credential(s) implemented, industrysectors targeted, and NDC challenges and gaps identified. These preliminary findings providebroader insights for educators, industry leaders, and policymakers currently engaged in shapingthe future landscape of STEM workforce development and for identifying directions for futureresearch in this emerging area of importance to the STEM workforce.BackgroundHigher education degree programs have historically played a critical role in workforcedevelopment in the United States by providing a mechanism for knowledge and skill acquisitionthat is purported to lead to meaningful employment and higher salaries. NDCs play a valuablerole in STEM
-research question from theperspective of the faculty advisor.RQ1. What factors influence underserved [Ph.D. graduate student(s)/faculty advisor(s)] as theyengage in mentoring relationship? Sub-RQ1. What does it mean to be a [Ph.D. graduate student/faculty advisor] in amentoring relationship in your field? Sub-RQ2. How does hidden curriculum influence the role of a [Ph.D. graduatestudent/faculty advisor] in a mentoring relationship in your field?RQ2. What does it mean to address issues that may arise in a mentoring relationship between aPh.D. graduate student and faculty advisor in your field?Research Paradigm and Interpretive Framework This study is positioned from an epistemological philosophical perspective within