contributing to the mental health crisis in North American higher education,” The College Quarterly, vol. 16, 2013.[3] S. K. Lipson, E. G. Lattie, and D. Eisenberg, “Increased rates of mental health service utilization by US college students: 10-year population-level trends (2007–2017),” Psychiatric services, vol. 70, ed. 1, pp. 60-63, 2018.[4] L. Cassuto, “The Graduate School Mess: What caused it and how we can fix it,” Harvard University Press, 2015.[5] J. L. Lott, S. Gardner, and D. A. Powers, “Doctoral student attrition in the STEM fields: An exploratory event history analysis,” Journal of College Student Retention: Research, Theory & Practice, vol. 11, ed. 2, pp. 247–266, 2009.[6] R. Sowell
member with the background in geology has been involvedin doing outreach for the project as well as configuring the technical specifications, while thesecond group member has been involved in building the software and contributing new softwarerelated ideas.III.C. Algorithms CNNs were used as early as the 1990’s to automatically detect handwriting on checks[12]. CNNs are an iteration of artificial neural networks also called “backpropagation neuralnetworks” [13]. CNNs use “convolutional layers” that apply matrices (filters) of different valuescalled “weights” onto an image using a convolution operation. It is speculated that earlier layersin the neural network can identify low-level features such as edge gradients. With every newlayer
, while SE, SS, and BR were insignificant.These findings contradict the findings of Jiang and Zhang’s (2012) paper, which found thatSS and BR were predictors of CG in Chinese engineering students.The results also showed significant associations among the psychological factors studied. SEhad a positive correlation with OE and SS and a negative correlation with BR. OE waspositively correlated with SS, interests, and CG while negatively correlated with BR. IN waspositively correlated with CG and negatively correlated with BR. These results align with theresults of Inda et al.’s (2013) paper, which found that SE, OE, and IN mediate the effect ofcontextual supports and BR on college students’ intentions to embark on a degree inengineering. Similarly
, approximately five million residents are of PuertoRican descent, accounting for 1.8 percent of the overall population in 2019, where 20.3 percentof that population have an education of Bachelor’s Degree or Higher. In the 2021’s ProfessionalEngineering Examination performed in Puerto Rico, only 24 percent of the professionals thatparticipated in the examination passed the test, while the national average for passing theProfessional Engineering examination was 58 percent. This study aims to address the problem ofthe current shortage of diversity, equity, and inclusion in the Engineering and Constructionindustry, focusing on the Puerto Rican minority group and their challenges. This study will focuson determining the obstacles Puerto Rican engineering
incoming years, with special attention being paid to group dynamics as well as greater studentexposure to pedagogical intend and the desired project learning outcomes.References[1] Y. Li, A.H and A. A. DiSessa, "Design and design thinking in STEM education," Journal for STEM education, vol. 2, pp. 93 - 104, 2019.[2] C. Muirhead, R. Al-Hammoud, J. Craig and B. Macvicar, "Linking academic courses wuth practical hands-on experience for civil, environmental and geological engineering students," in Proceedings of the Canadian Engineering Education Association, CEEA, Vancouver, BC, 2018.[3] K. Balkos, B. Dow, S. Shams, R. Al-Hammoud, M. B. Emelko, S. Walbridge and C. Bachmann, "Pedagogical Skill Development Through the Horizontal
method is structural analysis, where a researcher observes anarrative by identifying the outline, or structure, of how it's told. Structural analysis involvespiecing together the plot of the story without making inferences that may shift the storyteller'swords. The third method, constructed narrative analysis, closely relates to Polkinghorne's [20]narrative analysis technique, where specific events are synthesized to form one main narrative.This form of analysis may involve direct quotes from the participant(s), inviting the reader tomake their own inferences.Kellam et. al [13] points out the trade-offs with using each type of analysis method, as each typemay be beneficial for answering different questions. However, they make it clear that the
gyroscopethat would consume less power than vibration-based gyroscopes. The gyroscope they designedwas created with the help of MEMS-Microfluidic solutions that enabled the implementation ofmicrofluidic channels in etched glass layers, which sandwiched a bulk-micromachined siliconsubstrate consisting of the sensing structures. Micro-Electro-Mechanical System (MEMS)gyroscopes are motion sensors that detect and measure the angular motion of an object [28]. Theycompared the angular rate sensitivity results of the designed gyroscope with a reference device,indicating an angular rate sensitivity of fewer than 1°/s, equivalent to that of the natural VS. Anultra-low power consumption of 300 μW was achieved without continually excited vibrating mass,which
Education, 2023The Teaching Needs of Engineering Faculty Compared to Business Faculty: How the Library and Librarian Fit InAbstractSubject or liaison librarians are frequently asked to provide information literacy instruction intheir assigned departments. However, not much in the literature explores how else librarians cansupport faculty teaching needs beyond information literacy. This paper compares the results oftwo separate studies conducted by the author that examined the teaching needs of faculty frombusiness and engineering. Business faculty were interviewed as part of a multi-site study in 2018led by Ithaka S+R, while the engineering faculty study was done separately by the author in2020. Interview transcripts from both
; for example, Chen et. al. states that “[s]tudents from all backgrounds may find theexperience [of an unexpectedly poor academic performance] threatening to their competence, butstudents from minority groups must also contend with anxiety that this performance ‘confirms’negative academic stereotypes attributed to their group memberships”[10].Often, these biases and stereotypes reflect an automatic judgment without an awareness ofindividuals’ specific abilities or experiences [11] [12]. Thus, the format of assessment, rather thanthe rigor, quality, or intended learning can have undue effect on educational outcomes. Forexample, IGEN performed a case study on a top-ranked physics program which noticed its“passage rate [for a qualifying exam] had
increases in hard disk drives and was elected a National Academy of Inventors Fellow in 2018. Dr. Hipwell is currently the Oscar S. Wyatt, Jr. ’45 Chair II at Texas A&M University, where she has developed new classes on innovation and technology development as part of her leadership of the INVENT (INnoVation tools and Entrepreneurial New Technology) Lab. She is Co-PI on a National Science Foundation engineering education grant to develop a culture of and tools for iterative experimentation and continuous improvement in curriculum development.Dr. Mindy Bergman, Texas A&M University Dr. Bergman is a Professor in the Department of Psychology and Executive Director of Interdisciplinary Critical Studies at Texas A
. A. Whittaker and B. L. Montgomery, “Cultivating Institutional Transformation and Sustainable STEM Diversity in Higher Education through Integrative Faculty Development,” Innov. High. Educ., vol. 39, no. 4, pp. 263–275, Aug. 2014, doi: 10.1007/s10755-013-9277-9.[3] S. Wadia-Fascetti and P. G. Leventman, “E-Mentoring: A Longitudinal Approach to Mentoring Relationships for Women Pursuing Technical Careers,” J. Eng. Educ., vol. 89, no. 3, pp. 295–300, Jul. 2000, doi: 10.1002/j.2168-9830.2000.tb00528.x.[4] M. J. Chang, M. K. Eagan, M. H. Lin, and S. Hurtado, “Considering the Impact of Racial Stigmas and Science Identity: Persistence Among Biomedical and Behavioral Science Aspirants.,” J. High. Educ., vol. 82, no. 5, pp
only to benefit engineering retention as a whole, but alsoto begin to close the retention gap for underrepresented minorities in engineering. Our resultssupport our hypothesis, suggesting that interdisciplinary studies are appealing to URMs and mayhelp alleviate the push-pull pressure by bridging engineering with careers they better identifywith. These interdisciplinary interventions have not yet been implemented or assessed for actualimpact on URM recruitment and retention.References[1] M. M. Camacho and S. M. Lord, “‘Microaggressions’ in engineering education: Climate for Asian, Latina and White women,” in 2011 Frontiers in Education Conference (FIE), Oct. 2011, pp. S3H-1- S3H-6. doi: 10.1109/FIE.2011.6142970.[2] A. J. Koch, P. R
specifically aligned to Herzberg’s [24] motivational andhygiene factors. Additionally, future investigation should include increased stratification ofdemographics, including gender and race, to help identify the impacts that factors have onvarying groups.References[1] McTaggart, R. (1991). Principles for participatory action research. Adult Education Quarterly, 41(3), 168-187.[2] Tugden, A. “On the Verge of Burnout: COVID -19’s Impact on Faculty Well-Being and Career Plans 2020,” The Chronicle for Higher Education, Washington, DC, USA, 2020. Accessed February 2023. [Online] Available: https://connect.chronicle.com/rs/931-EKA- 218/images/COVID%26FacultyCareerPaths_Fidelity_ResearchBrief_v3%20%281%29.p df[3] Coiro M.J
to effectively argue their design solution is independent of thedisciplinary diversity of the team.Discussion and ConclusionsThe goal of this research was to investigate the relationship between disciplinary diversity andeffectiveness of design argumentation to determine if disciplinary diversity can be disregarded asa significant factor when analyzing engineering design teams’ argumentation skills. AsKrishnakumar et al.’s research on this data set determined that interdisciplinarity of a design teamdid not relate to the outcomes of the engineering projects or the quality of the design pitch asdetermined by sponsor satisfaction [41], our results also showed no statistically significantcorrelation between disciplinary distance and design
) levels to ensure that every student seeking anengineering degree is afforded the necessary support systems to complete degree requirements.Future WorkFuture work of this study includes associating the impact of grades with the socioeconomic factorsidentified by Bandura which include racial gaps, school sector, school environment, and familyconditions. A survey was created and administered in the Fall of 2022 with a cohort of studentsenrolled in a Rigid Dynamics course. Specifically, students were asked about the non-academicfactors that affect their academic performance such as family responsibilities, employment, andfinancial issues. The data is under review, and more will be collected in the Spring 2023.REFERENCES[1] Abdi, H. M., Bageri, S
-directed, intrinsically motivated learning characteristic of graduatestudents and practicing engineers.References[1] A. C. Estes, R. W. Welch, and S. J. Ressler, “The ExCEEd Teaching Model,” Journal of Professional Issues in Engineering Education and Practice, vol. 131, no. 4, pp. 218–222, Oct. 2005, doi: 10.1061/(ASCE)1052-3928(2005)131:4(218).[2] K. M. DeGoede, “A Chegg® Era Model for HW,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Feb. 07, 2023. [Online]. Available: https://peer.asee.org/a-chegg-era-model-for-hw[3] T. A. Wood, D. D. Nale, and R. K. Giles, “Closing the Homework Feedback Loop Using Dual-Submission-with-Reflection Homework Methodology,” in 2020 ASEE Virtual Annual
. By incorporating these elements, an enjoyable andinformative experience for underrepresented minority students can be attained and encourage themto pursue careers in STEMReferences[1] E. O. McGee, Black, brown, bruised: How racialized STEM education stifles innovation. Harvard Education Press, 2021.[2] M. Elam, B. Donham, and S. R. Soloman, "An engineering summer camp for underrepresented students from rural school districts," Journal of STEM Education: Innovations and Research, vol. 13, no. 2, 2012.[3] K. Kricorian, M. Seu, D. Lopez, E. Ureta, and O. Equils, "Factors influencing participation of underrepresented students in STEM fields: matched mentors and mindsets," International Journal of STEM
, Laura Hill, Kristen Andrews,John Lens, and others in the Contemplative Practices Learning Community, graduate studentMaddy Pimental and along with all the undergraduate student focus group leaders: SachiSakaniwa, Zoe Schlosser, Maja Paulk, River Bond, and student participants of the StructuralSteel Design course.References:[1] T. Estrada and E. Dalton, "Impact of Student Mindfulness Facets on Engineering Education Outcomes: An Initial Exploration," ASEE Annual Conference & Exposition, Tampa, FL, USA, June 15, 2019.[2] B. Rieken, M. Schar, S. Shapiro, S. Gilmartin, and S. Sheppard, "Exploring the relationship between mindfulness and innovation in engineering students," in Proceedings of the American Society for
/publication/319650562[4] National Research Council, Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering. 2012. doi: 10.17226/13362.[5] National Research Council, “Report of a Workshop on the Pedagogical Aspects of Computational Thinking,” National Academies Press, Washington, D.C., 2011. doi: 10.17226/13170.[6] O. of the P. S. The White House, “Fact Sheet: President Obama Announces Computer Science For All Initiative,” pp. 1–16, 2016, doi: 10.1111/j.1741-5705.2009.03698.x.[7] A. N. Rinn and J. A. Plucker, “High-Ability College Students and Undergraduate Honors Programs: A Systematic Review,” Journal for the Education of the Gifted, vol. 42, no. 3
differences might seem natural before any formal designtraining occurs. They also inform educators about gaps in expected student performance inparametric tools and suggest that pre-designer education should emphasize multidisciplinaryproblem-solving to avoid narrowing student competency for those interested in designprofessions.ACKNOWLEDGEMENTS This material is based upon work supported by the National Science Foundation underGrant #2033332. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.The authors would also like to thank ShapeDiver GmbH for their support in providing theresearch team with access to
division division nal Co-construct Construct rs o Self-authorship Pe knowledge knowledge Discover community al Participate s s ion with guidance Pr of e COP Beginner practice Master & and discourse expertise Belonging LID r
indrawing our conclusion. Nevertheless, this work has an added value as a basis for us toconduct more extensive research in the future. Additionally, academics will have a wideropportunity to explore deep learning to produce more novel educational solutions since ourstudy discovered that only a small number of studies had investigated the application of thisAI technology.References[1] M. King, R. Cave, M. Foden, and M. Stent, “Personalised education From curriculum to career with cognitive systems,” 2016.[2] T. J. Sejnowski, The deep learning revolution. Cambridge: The MIT Press, 2018.[3] J. S. Groff, “Personalized learning: The state of the field & future directions,” 2017. [E-book]. Available: https://dam
, and what you think a more positive interaction might have looked like.Participants in this study were LAs who consented to have their responses used as part of thisanalysis. Table 2 details the participants involved in this study. Fifty responses were analyzed.Table 2. Participant information. Private Public Number of LAs 24 26 Discipline(s) Chemistry, Biology, Chemical, Biological, and Chemical and Biological Environmental Engineering Engineering, Mechanical
education often focus on increasing the useof such RBIS strategies in classrooms (e.g., PBL [3]). Such a change in practices and principles portendsfundamental shifts in the role of teachers and students in a classroom [4]. Evidence is clear that RBIS contributeto learning. However, evidence also suggests that students' own theories of learning and knowing may notperceive the shift in roles, practices, and theories of learning that come with that greater learning [5].As researchers, we are interested in students’ perception of educational role(s) and their perception of what makesgood teachers and good teaching1. We see the authentic voice of students as too-often missing from research onthe shift to student-centered teaching. Prior research shows
Education, vol. 14, no. 3, pp. 340–352, 09 2021. [Online]. Available: https: //www.proquest.com/scholarly-journals/s-dude-culture-students-with-minoritized/docview/2348348625/se-2[13] J. Misra, J. H. Lundquist, E. Holmes, S. Agiomavritis et al., “The ivory ceiling of service work,” Academe, vol. 97, no. 1, pp. 22–26, 2011.[14] N. A. Fouad, W.-H. Chang, M. Wan, and R. Singh, “Women’s reasons for leaving the engineering field,” Frontiers in psychology, p. 875, 2017.[15] J. Walther, N. W. Sochacka, and N. N. Kellam, “Quality in interpretive engineering education research: Reflections on an example study,” Journal of engineering education, vol. 102, no. 4, pp. 626–659, 2013.[16] K. J. Cross, S. Farrell, and B. Hughes, Queering STEM
gratefullyacknowledged.References[1] A. R. Bielefeldt, M. Polmear, D. W. Knight, N. Canney, and C. Swan, “Educatingengineers to work ethically with global marginalized communities,” EnvironmentalEngineering Science, vol. 38, no. 5, pp. 320–330, 2021.[2] L. Roldan-Hernandez, A. B. Boehm, and J. R. Mihelcic, “Parachute Environmental Scienceand Engineering,” Environmental Science & Technology, vol. 54, no. 23, pp. 14773–14774,2020.[3] D. Sedlak, “Crossing the imaginary line,” Environmental Science & Technology, vol. 50,no. 18, pp. 9803–9804, Sep. 2016.[4] M. A. Edwards, A. Pruden, S. Roy, and W. J. Rhoads, “Engineers shall hold Paramount thesafety, health and welfare of the public - but not if it threatens our research funding?,” FlintWater Study , 10-Oct-2016