; Medina‐Borja, A. (1999). The use of focus groups for minority engineering program assessment. Journal of Engineering Education, 88(3), 333-343. Ashford, S. N., Wilson, J. A., King, N. S., & Nyachae, T. M. (2017). STEM SISTA spaces. Emerging issues and trends in education, 3. Blosser, E. (2020). An examination of Black women's experiences in undergraduate engineering on a primarily white campus: Considering institutional strategies for change. Journal of Engineering Education, 109(1), 52–71. Brawner, C., Mobley, C., Lord, S. M., & Main, J. Fit, Faith, and Family: Counterspaces for Black Male Student Veterans in Engineering. Journal of Women and Minorities in Science and Engineering.Case, A. D., & Hunter, C. D. (2012). Counterspaces: A
, concrete structures, and computational modeling of structures.Josh Wiseman, Ohio Northern University ©American Society for Engineering Education, 2024 A Hands-On Activity on Equilibrium of Rigid Bodies in Statics S. M. Seyed Ardakani1 and Joshua Wiseman2 1: Kokosing Department of Civil and Environmental Engineering 2: Dr. Carl D. Clay and H. Jane Clay Department of Mechanical Engineering Ohio Northern University Ada, OH 45810 Email: s-seyedardakani@onu.edu; j-wiseman@onu.eduAbstractOne of the most important, yet challenging topics for engineering students in
could be a huge, potential resource for the U.S.’s growing need forengineers. The number of nontraditional students is increasing in higher education but is still asmall population in engineering.3 Private, for profit institutions have been very popular and haveattracted many nontraditional students, with their enrollment of nontraditional students reaching89%.3 Nontraditional students have been studied in community colleges and urban universities,but have been rarely studied at public 4-year universities in engineering due to a lack oflongitudinal data on individual students.The research of nontraditional students used the Multiple-Institution Database for InvestigatingEngineering Longitudinal Development (MIDFIELD). MIDFIELD was large enough
containers.11. References1. Wilson, J. S. (editor), Sensor Technology Handbook, pp 1, Elsevier (UK)., 2005.2. Dhananjay, G. V., Programming and Customizing AVR Microcontroller, pp 22, McGraw-Hill (USA)., 2001.3. Kwong, J., Ramadass,Y. K., Verma, N., Chandrakasan, A. P., “A 65 nm Sub-Vt Microcontroller With Integrated SRAM and Switched Capacitor DC-DC Converter”, IEEE Journal of solid-state circuits, 2009, 44, 115-126.4. Brennan, T.M., Ernst, J. M., Day, C. M., Bullock, D. M., Krogmeier, J.V., Martchouk, M., “Influence of Vertical Sensor Placement on Data Collection Efficiency from Bluetooth MAC Address Collection”, ASCE Journal of Transportation Engineering, 2009, 136, 1104-1109.5. Jasemian, Y., Nielsen, L. A
-ended survey responses to further analyize faculty viewsand how they align with quantitative data. These perspectives provide a starting point fordeveloping authentic learning goals for K-12 students.References[1] Mason, C., Twomey, J., Wright, D., & Whitman, L. (2018). Predicting engineering student attrition risk using a probabilistic neural network and comparing results with a backpropagation neural network and logistic regression. Research in Higher Education, 59, 382–400.[2] Uddin, M., & Johnson, K. (2019). Faculty learning from the advisors for students’ retention and persistence to graduation. 2019 Conference for Industry and Education Collaboration[3] Guzey, S. S., Ring-Whalen, E. A
, & A. W. Harrist (Eds.), Authoritative parenting: Synthesizing nurturance and discipline for optimal child development (pp. 11–34). American Psychological Association.Baumrind, D. (1996). The discipline controversy revisited. Family Relations, 45(4), 405-414. Bayati, N. (2023). Exploring Parental Factors That Influence Female Students STEM Major Choice: A Phenomenological Study Exploring Female STEM Students’ Experiences. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard university press. Chown, S. M. (1957). The formation of occupational choice among grammar school pupils. Thesis Ph. D., Liverpool University. Denson, C
to explain the effect of filtering in the frequency domain orwhen explaining the causes of frequency and phase distor�ons, I have no�ced that the studentslack the understanding of what are the results of the Fourier analysis and how to relate thoseresults to the amplitudes and frequencies of the harmonics cons�tu�ng the �me-domain signalanalyzed by the Fourier series/transform. As such, I have spent �me explaining these concepts,and by now, the students understand the term “frequency spectrum” or “spectrum.” However,the students s�ll do not know how to prac�cally generate the frequency spectrum of real data oruse the straigh�orward spectral analysis tools in MATLAB. 3. THE SPECTRAL ANALYSIS MODULEThis module is added a�er the ADC lecture. The
thecamp.AcknowledgmentThe research team is very thankful for the support of the Texas Education Service Center ofRegion 20, the Charlotte Independent School District, and the USS Department of Agriculture.This research was supported by the intramural research program of the USS Department ofAgriculture, National Institute of Food and Agriculture, Women and Minorities in STEMProgram, award #: 2022-38503-37903. The findings and conclusions in this preliminarypublication have not been formally disseminated by the U. S. Department of Agriculture, andshould not be construed to represent any agency determination or policy.Reference[1] E. J. Haller and S. J. Virkler, "Another Look at Rural-Nonrural Differences in Students' Educational Aspirations," 1993.[2] M. S
Proceedings, 2018.[2] H. Xiao et al., “Are we in crisis? National mental health and treatment trends in college counseling centers,” Psychol Serv, vol. 14, no. 4, pp. 407–415, Nov. 2017, doi: 10.1037/ser0000130.[3] S. A. Wilson and J. H. Hammer, “Faculty Experiences with Undergraduate Engineering Student Mental Health,” In 2021 ASEE Virtual Annual Conference Content Access, 2021.[4] I. Jurewicz, “Mental health in young adults and adolescents-supporting general physicians to provide holistic care,” Clinical Medicine, vol. 15, no. 2, pp. 151–155, 2015.[5] C. J. Wright, S. A. Wilson, J. H. Hammer, L. E. Hargis, M. E. Miller, and E. L. Usher, “Mental health in undergraduate engineering students: Identifying facilitators
development of cross-disciplinary activities, and the significant reach to thousands of students highlight the transformative po-tential of integrating computing concepts into the broader curriculum. This approach not only enhanceseducators’ abilities to teach computer science but also prepares students for high-demand STEM careersby exposing them to advanced topics in a non-elitist, accessible manner.Works CitedBasu, S., A. Dickes, J. S. Kinnebrew, P. Sengupta, and G. Biswas. 2013. “CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling”Berland, L. K., and B. J. Reiser. 2011. “Classroom communities' adaptations of the practice of scientific argumentation”Blikstein, P. 2013. “Digital fabrication and ‘making
. Second, we were challenged by the requirement that we must focus on educationalresearch, rather than the practical concerns of improving the “student professional formationexperience,” such as, for example, improving and expanding course offerings, student successstrategies, and transfer policies. We were, however, fortunate enough to have one of the Co-PIsfrom our partner university who was trained as an engineering education researcher through anNSF Research Initiation in Engineer Formation (RIEF) grant and had experience working onresearch on an S-STEM grant. She now serves as the primary engineering education researcheron the RED project, in conjunction with expert advice on research methodology and analysisfrom one of the consultants for
students of CUNY to become activeparticipants in Remote Sensing research at the NOAA Cooperative Remote Sensing Scienceand Technology Center (NOAA-CREST) over last summer at CCNY.References1. Coster S.; Gulliford M.C.; Seed P.T.; Powrie J.K.; Swaminathan R.: “Monitoring BloodGlucose Control in Diabetes Mellitus: A Systematic Review”, Health TechnologyAssesment, 2000, vol. 4, no. 12.2. Report of the expert committee on the diagnosis and classification of diabetes mellitus.Diabetes Care. Jan 2003;26 Suppl 1:S5-20.3. Laditka SB, Mastanduno MP, Laditka JN. Health care use of individuals with diabetes inan employer-based insurance population. Arch Intern Med. May 28 2001;161(10):1301-8.4. National Diabetes Information Clearinghouse (NDIC) Report in U.S
camaraderie). 1Lastly, the race car outing generated immense publicity and Mechanical Engineering Technology studentsin particular have become engaged in the program. Both MET students and their faculty have sincejoined the Mechanical Engineering race teams and participate strongly. The Mechanical Engineeringclass prerequisites for “Motorsports Instrumentation” will be modified to accept the best of the METseniors for the upcoming fall semester class.What is in the motorsports program for the student‟s future?To get a feel for the immensity of the engineering need in this industry, consider that Nascar racingsupports 154 Sprint cup, Nationwide series, and Craftsman truck teams, in addition to a
intervention. By leveraging these findings, educators, policymakers, and industrystakeholders can work collaboratively to strengthen the talent pipeline and drive innovation inthe semiconductor sector.References[1] A. Deichler, “Help Wanted: Manufacturing Sector Struggles to Fill Jobs,” SHRM, Jun. 2021,accessed: 2023-7-6. [Online]. Available: https://www.shrm.org/topics-tools/news/talent-acquisition/help-wanted-manufacturing-sector-struggles-to-fill-jobs[2] S. Alam, “Addressing the talent gap,” Accenture, Feb. 2023, accessed: 2023-6-30. [Online].Available: https://www.accenture.com/us-en/insightsnew/high-tech/semi-talent-shortage[3] C. Richard, K. Ramachandran, and I. Pandoy, Deloitte, “Looming Talent Gap ChallengesSemiconductor Industry,” Semi.org
. ( ) (12)Fn=mc×g where g is equal to 9.8 m/s^2 (3)Fk=Fn×μ (4) In order to calculate the distance travelled, break up the calculations into the two distinct parts of the movement. In theThe next thing to figure out is the spring constant of the spring first part for the full travel of the mousetrap lever arm, thein the mouse traps. To do this use a spring scale on the lever kinematics equations can be used. Since the awh, vo and tavg arearm that is attached to both mouse traps and a protractor to known, the distance for the first part can be calculated usingmeasure the angle that
functions, which are believed to bedescriptive for information security professionals. 4 We further developed the two ciphers to improve their security and proposed methods toapply them for information security. Specifically, we proposed to use DNA, RNA and proteinalphabets to represent information, to use pseudo random sequence to intronize plaintext, and touse modified genetic code for information translation. Future research will be on designing an encryption scheme in which a single ciphertext canbe decrypted into different plaintexts based on key(s).References[1] Landau, S. (2006). Find Me a Hash. Notices of the American Mathematical Society, 53(3): 330-332.[2] Pappu, R., Recht, B., Taylor
that a bicycle frame is not a truss and, therefore, probably cannot be analyzed assuch. Three methods are then employed to prove or disprove this hypothesis: analytical,experimental, and numerical. T ru ssMe mbe rs b ue J oin ts T 4 5mmS GB( top ) S GA
camaraderie). 1Lastly, the race car outing generated immense publicity and Mechanical Engineering Technology studentsin particular have become engaged in the program. Both MET students and their faculty have sincejoined the Mechanical Engineering race teams and participate strongly. The Mechanical Engineeringclass prerequisites for “Motorsports Instrumentation” will be modified to accept the best of the METseniors for the upcoming fall semester class.What is in the motorsports program for the student‟s future?To get a feel for the immensity of the engineering need in this industry, consider that Nascar racingsupports 154 Sprint cup, Nationwide series, and Craftsman truck teams, in addition to a
of contract N is DL and Figure 1. The framework of Harmonizing Cluster Results the earliest delivery date is DE , then: sThree steps of Harmonizing Cluster Results: DL ≥ DE + ∑ T i (5) i =1 In formula(5), T i is the production cycle of stage I, S is the In the Witness simulation model there are 23
faculty and t e group’ external collaborator( ) mentor( ). The review was conducted outside of the design studio in a conference room with the options of teleconferencing if an external collaborator was not able to be on campus. Each team member was graded based on technical content and contribution, quality of presentation material, quality of presentation and how questions were addressed. These 4 categories are equally weighted in grading of the presentation. After the review, each group prepared an External Collaborator(s) Mid-term Report noting significant issues addressed, decisions made, and issues raised but not resolved at the Mid-term review
. C¸ etin, K. Dimitropoulos, F. Tsalakanidou, K. Kose, and situational analysis [6]. O. Gunay, B. Gouverneur, D. Torri, E. Kuruoglu, S. Tozzi, et al., • Advanced Visualization Tools: Incorporate additional “A multi-sensor network for the protection of cultural heritage,” in Proceedings of the 19th European Signal Processing Conference, pp. visual analytics features, such as heatmaps and time lapse 889–893, 2011. comparisons, to visually represent wildfire progression [20] I. Bosch, A. Serrano, and L. Vergara, “Multisensor network
revision is relatively simple, even when new knowledge is in contradiction to students’existing beliefs 14. Similarly, mental model transformation can be accomplished by directpresentation of contradictory information. Chi states that “…the accumulation of numerousbelief revisions eventually result[s] in the transformation of a student’s flawed mental model tothe correct model…by-and-large”14.The truly difficult type of learning, and the process that Chi theorizes accounts for studentdifficulty in developing conceptual understanding, is what Chi calls categorical shift15. Thecategories referred to in the phrase “categorical shift” are most easily understood in terms of thecognitive and perceptual processes they relate to. Piaget, a seminal
. Xu, Y. Liu, G. Wang, Z. Zhao, S. Li, and Z. Zhang, “3d tooth segmentation and labeling using deep convolutional neural networks,” IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 11, pp. 2603–2615, 2018. [7] Y. Sun, Y. Wang, Y. Wang, Z. Zhang, and Z. Zhao, “Model adaptive tooth segmentation,” in International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 2020, pp. 442–450. [8] Z. Zhang, Y. Wang, Y. Sun, and Z. Zhao, “Darch: Deep architectures for automated tooth segmentation,” IEEE Access, vol. 7, pp. 118 712–118 721, 2019. [9] Z. Cui, Z. Li, S. Song, Y. Zhou, S. Zhuang, G. Wei, G. Li, and G. Zheng, “Deep multi-scale mesh feature learning for automated
to cope with stress.References[1] K. Levecque, F. Anseel, A. de Beuckelaer, J. van der Heyden, and L. Gisle, "Work organization and mental health problems in PhD students," Research Policy, vol. 46, no. 4, pp. 868– 879, 2017.[2] T. M. Evans, L. Bira, J. B. Gastelum, L. T. Weiss, and N. L. Vanderford, "Evidence for a mental health crisis in graduate education," Nature Biotechnology, vol. 36, no. 3, pp. 282– 284, 2018.[3] M. Schmidt and E. Hansson, “Doctoral students’ well-being: a literature review,” International Journal of Qualitative Studies on Health and Well-being, vol. 13, no. 1, 2018.[4] J. Hyun, B. Quinn, T. Madon, and S. Lustig, "Mental health need, awareness, and use of
N. Beard. "What do we teach when we teach tech ethics?: A syllabi analysis," in Proc. 51st ACM Tech. Symp. Comp. Sci. Educ. Portland, OR, USA, 2020, pp. 289-295.[2] B. C. Stahl, J. Timmermans, and B. D. Mittelstadt, "The ethics of computing: A survey of the computing-oriented literature," ACM Comp. Surv. (CSUR), vol. 48, no. 4, pp. 1- 38, 2016.[3] S. R. Komives, N. Lucas, and T. R. McMahon, Exploring Leadership: For College Students Who Want to Make a Difference, 3rd ed., San Francisco, CA, USA: John Wiley & Sons, 2009.[4] M. J. Quinn, “On teaching computer ethics within a computer science department,” Sci. and Eng. Ethics, vol. 12, pp. 335-343, 2006.[5] R. T. Johnson, D. R. Johnson
noted as one persistent attribute that students exhibit during theseexperiences. For instance, one aspect of Behroozi et al.’s work [7] compared anxiety levels thattheir participants exhibited while conducting mock technical interviews either in a public settingor in a private setting. It was determined that participants who conducted technical interviews ina public setting exhibited higher levels of anxiety than their counterparts who were in a privatesetting. Similarly, Hall and Gosha [23] conducted a study that measured the correlation ofanxiety and preparation in a technical interview that targeted junior and senior CS majors at aSoutheastern Historically Black College/University (HBCU) in the United States. Keyinformation collected during
sustainable energy through salinitygradient [2]. Prospects for the various energy sources were assessed after the 1973 oil crisis, andSidney Loeb [3] introduced the idea of PRO in the 1970’s. However, research slowed down in the80s and 90s due to the expensive cost of the available membranes, which would make osmoticpower generation financially unviable. More recently interest in searching new clean and non-periodic energy sources resulted in the construction of several large or small-scale pilot SGP powerplants [4, 5]. Salinity gradient can provide us with a very large source of clean energy. Riversaround the world with an average flow of 1.2×10 m3/s have the potential to produce up to 2.5 TWof energy. This is about 13 percent of the current world's
participants’ experiences.ReferencesAston, S., & Jackson, D. (2009). Blurring the boundaries or muddying the waters? Design and Technology Education: An International Journal, 14(1), 68–76.Avsec, S., & Sajdera, J. (2019). Factors infuencing pre-service preschool teachers’ engineering thinking: Model development and test. International Journal of Technology and Design Education, 29(5), 1105–1132.Aydeniz, M., & Bilican, K. (2018). The impact of engagement in STEM activities on primary preservice teachers’ conceptualization of stem and knowledge of stem pedagogy. Journal of Research in STEM Education, 4(2), 213–234. https://doi.org/10.51355/jstem.2018.46Bandura, A. (1977). Self-efficacy: Toward a unifying
students care? How to… Example(s) Common mistakes by students Tools: templates, presentations, spreadsheets, and other resourcesBased on the report writing outcomes and investigations of student report writing performance atthe three participating institutions [19-21], the authors prepared scaffolded learning modulesorganized around (1) fundamental concepts needed to submit a successful first report, (2)intermediate concepts intended to support more rigorous consideration of data sources, methodsof analysis, and conclusions, and (3) advanced concepts in error and logical appeals. A prefacewas developed to orient users and support instructors with guidance around assessment designand the use of effective rubrics. The
,” 2021.[3] S. Haag, N. F. Hubele, A. M. García, and K. McBeath, “Engineering undergraduate attrition and contributing factors,” International Journal of Engineering Education, vol. 23, no. 5, pp. 929–940, 2007.[4] R. Stevens, K. O’Connor, L. Garrison, A. Jocuns, and D. M. Amos, “Becoming an Engineer: Toward a Three Dimensional View of Engineering Learning,” Journal of Engineering Education, vol. 97, no. 3, pp. 355–368, 2008, doi: 10.1002/j.2168- 9830.2008.tb00984.x.[5] E. Crede and M. Borrego, “The Effect of International Diversity on Graduate Engineering Education: A Literature Review,” 2010. doi: 10.18260/1-2–15975.[6] M. C. Paretti and L. D. McNair, “Analyzing the intersections of institutional and discourse identities in