material is based upon work supported by the United States Agency forInternational Development (USAID) under Grant No. USAID-Egypt NFO:72026318RFA00002. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect USAID's views.References[1] J. Yang, C. Schneller, and S. Roche, The role of higher education in promoting lifelong learning. UNESCO Institute for Lifelong Learning in Hamburg, 2015.[2] B. Karleuša, A. Deluka-Tibljaš, N. Ožanić, and S. Ilić, "The Role of Higher Education in Developing Awareness about Water Management," in 11th International Symposium on Water Management and Hydraulic Engineering-WMHE 2009, 2009.[3] S. S. Ashraf, S
librarianexperience and interest in acquiring knowledge, skills and abilities in data management [7]; anda willingness to innovate, take risks and experiment [8, 9]. On an interpersonal level, it requiresdeveloping and sustaining trusted relationships between the data or liaison/subject librarian(s)and researchers [9]. At the organizational level, the support of library administration andinstitutional prioritization of data services are critical factors [8].The depth and duration of these interactions with researchers may range from shorter-term“project-based” interactions [9], to “deep dives” into the data practices of an individual or team[10, 11], to long-term, “program-based” relationship-building and collaborations with a programor department [7].Some
conductors.By 1960, a new "light pipe" was being transformed from trivialcuriosity to an important optical device. Bundles of verythin glass fibers were being produced which were both flexibleand transparent. Thus we had a flexible light pipe thatcould look around corners and see things that were hiddenfrom view. In proposing that glass fibers had a directapplication as a fiberscope for examining interior parts ofthe body, Narinder S. Kapany (1960), also described anotheruse. Kapany stated that: It is possible to draw still thinner fibers, but they no longer act as simple light pipes. Their diameters are now comparable to the wavelength of the light, and they act as waveguides, transmit- ting energy in complex patterns that are no
ground effect 3D printed structure, showed 37%increase in the downforce and 26% reduction in the drag force. The capstone was done over 1-semester and was assessed based on progress reports submitted on bi-weekly basis, presentationby the end of the project, final report, and team work participation. Using these assessment tools,many of the ABET outcomes were met as will be shown in the paper.IntroductionAerodynamics and flow around car profile are significantly important for F1 design teams. Thefirst designs in the 1950’s were relatively sleek, despite having to compensate for the enormousengines mounted in front of the driver. Down force was a little known concept at that time, so theteams tried to rely on eliminating drag to achieve higher
equation is defined as the order of the highest derivative appearing in the equation and ODE can be of any order. A general form of a first-order ODE can be written in the form dy/dt + p(t)y + q(t) + s = 0 where p(t) and q(t) are functions of t. This equation can be rewritten as shown below d/dt(y) +y p(t) = - q(t) - s where s is zero. A classical integrating factor method can be used for solving this linear differential equation of first order. The integrating factor is e∫p dt . Euler Method Graphical methods produce plots of solutions to first order differential equations of the form y’ = f(x,y), where the derivative appears on the left side of the equation. If an initial condition of the form y(x0) = y0 is also specified, then the only solution
[NSB], “Science & Engineering indicators 2018 (NSB-2018-1),” National Science Foundation, Alexandria, VA. Accessed on: Aug., 20, 2019. [Online]. Available: https://www.nsf.gov/statistics/2018/nsb20181/assets/nsb20181.pdf. [3] National Academies of Sciences, Engineering, and Medicine [NASEM]. “Graduate STEM Education for the 21st Century,” The National Academies Press, Washington, DC, USA. 2018. Accessed on: Aug., 20, 2019. [Online]. Available: https://doi.org/10.17226/25038. 2018. [4] S. K. Gardner, “Contrasting the socialization experiences of doctoral students in high-and low-completing departments: A qualitative analysis of disciplinary contexts at one institution.” The Journal of Higher
, "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., New York, NY, USA: Springer, 2015, pp. 203-216.[7] M. Nelson, G. D. Hoople, J. A. Mejia and S. M. Lord, "Work-in-Progress: What is Energy? Examining Engineering Students' Conceptions of Energy," in Proceedings of the ASEE Annual Conference & Exposition, Montreal, QC, Canada, 22-26 June 2020.[8] G. D. Hoople, D. A. Chen, S. M. Lord, L. A. Gelles, F. Bilow and J. A. Mejia, "An Integrated Approach to Energy Education in Engineering," Sustainability, vol. 12, no. 21, 2020.[9] R. Rincon, "SWE Research Update: Women in Engineering by
the lectures, and a similar study on just a lecture type course may provide insightinto that type of class. Probably the most important future research topic is how to improvestudent learning outcomes across all modes of teaching.5. References[1] Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223-231.[2] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active Learning Increases Student Performance in Science, Engineering, and Mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.[3] Patrick, L. E., Howell, L. A., & Wischusen, W. (2016
the pilot run of the program measured so far bode well for the potential impact of the WiscAMP Excel Program on URM student success in STEM. Bibliography 1. Dweck, C. S. (2006) Mindset: The new psychology of success. New York: Ballantine Books. 2. Dweck, C. S., Legget, E. L. (1988) “A social-cognitive approach to motivation and personality”, Psychological Review 95 3. Hurtado, S., Eagan K., HERI Research Brief (2010) Degrees of Success: Bachelor’s Degree Completion Rates
Technology.Barr, R. E. (2012). Engineering graphics educational outcomes for the global engineer: An update. Engineering Design Graphics Journal, 76(3), 8–12.Duffy, G., Farrell, S., Harding, R., Behan, A., Raighne, A. M., Howard, R., Nevin, E., & Bowe, B. (2015). The effects of spatial skills and spatial skills training on academic performance in STEM education. The 6th Research in Engineering Education Symposium. Symposium conducted at the meeting of School of Electrical and Electronic Engineering, Dublin, Ireland.Gold, A. U., Pendergast, P. M., Ormand, C. J., Budd, D. A., Stempien, J. A., Mueller, K. J., & Kravitz, K. A. (2018). Spatial skills in undergraduate students—Influence of gender
countermeasure(s) to defend their assigned system architecture. School’s Network Lab’s Network Figure 2. Summer 2020 Remote Attack Scenario 1bProject 2 aimed to introduce the concept of cyber resilience, which suggests that a device’sfunctionality will not be affected in the presence of a cyber-related event, through hands-on-experience executing and defending against a cyber security attack(s). The target for this attackscenario was a continuous positive airway pressure (CPAP) machine, located on a networked-raspberry pi, serving as an access point, with a display screen, for data
can enhance student engagement and motivation. Significant responses have been theimplementation of student-centered learning [2], [47], [48], project-based learning [49]–[52],collaborative project-based learning approach [7], [53]–[55], collaborative learning [56]–[59] tomotivate students and to support students’ constructing practical, adaptable knowledge to a real-life setting.Project-Based Collaborative Learning in Engineering In an engineering context, the term ‘project’ is perceived as a ‘unit of work,’ on the basisof client(s)’ needs [60]. Project in an engineering education setting is multi-disciplinary andhighly related to a real-life situation, and project-based learning requires the creation of concreteartifact (e.g., a
study is informed by the need to address the well-documentedunderrepresentation of low-socioeconomic status (SES) and minoritized students in engineeringand other related careers [1]–[3]. Researchers advanced that, in addition to intellectual andscientific reasons, low-income students are attracted to the major by the potential prospect ofemployment after completing a degree [1], [4]. Financial considerations are critical for low-SESengineering students; this includes considerations of financial aid and differential tuition [5].Programs such as the National Science Foundation Scholarships in STEM (S-STEM) have beenimplemented to address financial assistance of low-SES students. This study is part of alongitudinal five-year S-STEM project
engineers’ satisfaction with helping people and society through their jobs. European Journal of Engineering Education, 44(6), 939–953.Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.Canning, E. A., Harackiewicz, J. M., Priniski, S. J., Hecht, C. A., Tibbetts, Y., & Hyde, J. S. (2018). Improving performance and retention in introductory biology with a utility-value intervention. Journal of Educational Psychology, 110(6), 834.Cech, E. A. (2014). Culture of disengagement in engineering education? Science, Technology, & Human Values, 39(1), 42–72.Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of
three caregivers enacted over the course of a five-month engineering program conducted in an out-of-school context. Our research question was asfollows: What roles do caregivers enact with/for their child during a family-based engineeringdesign project? Subsequently, we considered the contextual factors of the program that seemedto influence and shape caregivers’ role enactment. Results of our work provide further evidenceof the impact of caregiver inclusion in the process of learning engineering, not only on thestudent(s) involved, but also on caregivers. Findings support the benefit of incorporating familiaradults into the engineering learning process, while providing distinct avenues by whichcaregivers might acknowledge and value their own
culturally heterogeneous process where peopleengage in various repertoires of practices and literacies rooted in different communities [12],[13], [14]. Learning is revealed to be a collective, communal, reciprocal, and agentic activitywhere meaning is created in interaction with others [13], [15], [16], [17]. And because learning issituated and contextual, it does not escape from but is in fact deeply affected by the influence ofpower relationships.Learning happens within and between communities. People grow from being more novice toexperts. In communities of practice, learning is being facilitated through network(s) of cognition[13]. When it comes to learning, the flow of power occurs between people, activities and theenvironment [13], [18]. In
-centered design typepedagogies and the parallels between students’ interdisciplinary learning and faculty learning tonavigate institutional processes to create interdisciplinary courses [20]. Her recent research hasbeen to integrate social, political, and economic contexts into technical engineering courses. Asan actor in engineering education working to integrate broader societal contexts into theengineering curriculum at Tufts University, Ozkan’s positioning as a practitioner and researcherof pedagogical change informs and motivates her to pursue this collaborative research oncontextualization.Human-Centered Design: Contextualization for Better Design(s)Research on engineering design education demonstrates how treatment of design
tofurther define and operationalize our definitions. Table 1 summarizes these themes, which will befurther elaborated in the following sections. (Though an analysis of the role of gender and activitystructure is beyond the scope of the present work, see [16] for a fuller discussion). The focus groupquotes are identified according to their structure and gender composition. US = Unstructured. S =Structured. PM = Predominantly Male. PF = Predominantly Female. B = Balanced.Table 1: Overview of salient themes and associated codes. Theme Operational Definition Associated Codes Challenges Difficulties and areas of stagnation or • Ideation preferences and confusion encountered by
. Mehta, “Sustainability Across the Curriculum,” Int. J. Eng. Educ., vol. 23, no. 2, 2007.[2] J. S. Cooper, “Evolution of an interdisciplinary course in sustainability and design for environment,” Int. J. Eng. Educ., vol. 23, no. 2, pp. 294–300, 2007.[3] C. I. Davidson, C. T. Hendrickson, and H. S. Matthews, “Sustainable engineering: A sequence of courses at Carnegie Mellon,” Int. J. Eng. Educ., vol. 23, no. 2, pp. 287–293, 2007.[4] M. K. Watson, J. Pelkey, C. Noyes, and M. O. Rodgers, “Using Kolb’s Learning Cycle to Improve Student Sustainability Knowledge,” Sustainability, vol. 11, no. 17, p. 4602, Aug. 2019, doi: 10.3390/su11174602.[5] A. S. Lau, “Green design in first-year engineering,” Int. J. Eng
75th percentiles,respectively, and the whiskers extend to data points not considered to be outliers. Outliers areplotted as red +’s. If there are no boxes, then all responses besides the median response areconsidered to be outliers.Figure 1: Statistics for responses to survey question 1: How would you rate your study habits whilelearning remotely as compared to learning in person? 1=better in person, 7=better remotelyFigure 2: Statistics for responses to survey question 2: How would you rate your access to re-quired technology (e.g., computer and internet) while learning remotely as compared to learningin person? 1=better in person, 7=better remotelyAs shown in Figure 1, students generally reported a significant negative impact of
survey. Most of them are from Texas. Our next study willcertainly sample a large number of participants that better represent the population of the USA inthe warehousing and industrial distribution industry. For example, we could choose some areasin the country that have the greatest number of warehousing and distribution centers. These areashave vastly different cultures and environments. This way, the results of the study would includea better reflection of how the future of work would impact varying cultures, thus providing abetter insight into how employees and managers would be willing to accept the changes neededto incorporate new technologies into the work environment.References:[1] S. S. Bhattacharyya and S. Nair, "Explicating the
]. Available: http://arxiv.org/abs/1904.09408.[9] T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient Estimation of Word Representations in Vector Space,” arXiv:1301.3781 [cs], Sep. 2013, Accessed: Nov. 06, 2020. [Online]. Available: http://arxiv.org/abs/1301.3781.[10] J. Pennington, R. Socher, and C. Manning, “GloVe: Global Vectors for Word Representation,” in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, Oct. 2014, pp. 1532–1543, doi: 10.3115/v1/D14-1162.[11] J. Firth, A synopsis of linguistic analysis. Oxford, UK: Blackwell, 1957.[12] S. Crossley, J. Ocumpaugh, M. Labrum, F. Bradfield, M. Dascalu, and R. S. Baker, “Modeling math identity and
, the course, or the specific faculty member. This study aimed tounderstand the needs of engineering faculty members, especially those who had not workeddirectly with the engineering librarian for library resource instruction. The study was modeledafter a similar multi-site study conceived and organized by Ithaka S+R, a not-for-profitorganization that provides guidance and support for academic and cultural communities, thatexplored the teaching needs of business faculty members [3]. Interviews were conducted withfaculty members from the departments of Mechanical & Aerospace Engineering and Industrial &Systems Engineering in the summer of 2020. This paper examines the main teaching themes thatemanated from the analysis of the interview
dynamics in requirementsengineering will be underexplored, yet important for the practical use of this body of knowledge.This paper will support future work on the impact of requirements engineering education at theundergraduate level, as well as informing frameworks for understanding professionalrequirements engineering work.References[1] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning,” J. Eng. Educ., vol. 34, no. 1, pp. 65–65, 2006.[2] D. P. Crismond and R. S. Adams, “The informed design teaching and learning matrix,” J. Eng. Educ., vol. 101, no. 4, pp. 738–797, Oct. 2012.[3] C. J. Atman et al., “Engineering Design Processes: A Comparison of Students and
Adaptive Expertise. Educational Research and Reviews, Vol. 12, pp.14–29.Bransford, J. and B. Stein (1984). The IDEAL Problem Solver. New York: W. H. Freeman.Bransford, J., A. Brown & R. Cocking, Eds. (1999). How People Learn: Brain, Mind, Experience, and School.National Academy Press: Washington, DC.Bransford, J., Stevens, R., Schwartz, D., Meltzoff, A., Pea, R., Roschelle, J., Vye, N., Kuhl, P., Bell, P., Barron, B.,Reeves, B., & Sabelli, N. (2006). Learning Theories and Education: Toward a Decade of Synergy, in P. A.Alexander & P. H. Winne (Eds.), Handbook of Educational Psychology, pp. 209–244. Lawrence Erlbaum AssociatesPublishers.Brophy, S., Hodge, L., & Bransford, J. (2004). Work in Progress - Adaptive Expertise: Beyond Apply
incident(s) had occurred. Choices given for gender were male,female, and other, which the user was asked to describe. Options given for ethnic origin wereCaucasian, African American, Hispanic/Latino, Mixed Race, American Indian/Alaskan Native,Black African, Asian, and Indian/S. Asian. Given the relatively small number of responses fromethnicities other than Caucasian, we combined all other ethnicities into a single variable.Respondents were given an open-ended question regarding major or work category. In theanalysis, “STEM” was interpreted to include all majors/job categories in mathematics andengineering, and sciences such as physics, chemistry and biology, but not social sciences. Non-STEM was all other fields, ranging from social sciences to
his or her needs for belongingness and uniqueness” (p.1265). Team member perception of belongingness and uniqueness creates feelings of inclusivitywithin a team setting; behaviors related to these areas are described in Shore et al.’s (2011)framework for inclusion as shown in figure 1.Figure 1Shore et al. 2011 Inclusion FrameworkFrom “Inclusion and Diversity in Work Groups: A Review and Model for Future Research”, byShore, Randel, Chung, Dean, Ehrhart, and Singh, 2011, Journal of Management, 37(4), p. 1266.The Authors 2011. Promoting feelings of inclusiveness requires intentional behaviors, and leaders are in aposition to practice these behaviors to foster inclusive environments within teams. Their uniquepositions within the workplace
reuse. These lessons can guide professionaldevelopments for not only K-12 teachers, but also for engineering educators in cybersecurity andcomputer science.Funding:This work was supported by the Wyoming Department of Education (WDE) and theNational Science Foundation (NSF) through the CS for All: RPP - Booting Up ComputerScience in Wyoming (WySLICE Award #1923542) and Sustaining Wyoming’s AdvancingReach in Mathematics and Science (SWARMS Award #1339853). Any opinions, findings, andconclusions, or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of NSF.ASEE 2021 ReferencesAbramovich, S. (2016). Understanding digital badges in higher education
education must continue. Our work adds to the conversation by providing directevidence of school, district, and state administrators’ perspectives. We will continue to engage inmultiple reflections and discussions with administrators across the nation in the coming years asthe e4usa scales up to create district-level partnerships. The study has implications for how schooland district partnerships may be developed to allow for reciprocal support as pre-collegeengineering education continues to grow.AcknowledgementsThis material is based upon work primarily supported by the National Science Foundation (NSF)under NSF Award Number EEC-1849430. Any opinions, findings and conclusions, orrecommendations expressed in this material are those of the author(s