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
mentors willuse these skills in future professoriate and professional roles. GradTrack achieves these goalsthrough a comprehensive program that moves beyond simple mentoring and includes structuresthat seek to build a culture of belonging for both current and future graduate students inengineering.References[1] American Society for Engineering Education, “Profiles of Engineering and Engineering Technology.” Washington, DC, 2021.[2] A.W. Fentiman, J. Beagle, P. Dunston, and S. Fisher, Establishing Pathways to the Professoriate for Underrepresented Minority Students, American Society for Engineering Education 2017 Annual Conference Proceedings, June 2017, Columbus, Ohio, USA.[3] K. I. Maton, F. A. Hrabowski III, and C. Schmitt, “African
: Learning fromDisruption", Virtual. https://peer.asee.org/38240.[4] Jackson, S., & Jackson, A. (2002, June), Learning Online: A Virtual Education? Paper presented at2002 Annual Conference, Montreal, Canada. 10.18260/1-2—10612.[5] Tabas, J. M., & LeMay, C. M., & Freije, E. (2012, June), Online Education: The End ofLearning Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas.10.18260/1-2--21761[6] James-Okeke, P. A., & Scott, C. J., & Astatke, Y., & Ladeji-Osias, J. O., & Partlow, L. E., & Nyarko,K. (2013, June), A Performance Assessment Framework for Measuring Online Student LearningOutcomes Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia.10.18260/1-2
theme, e.g. autonomous robotics [20]. Projects may be structured such that smallmodules combine across the semester to form a larger design, e.g. assembling a portableelectronic device for measuring the height of an object [12]. Such projects can combine multiplelearning objectives and even multiple disciplines, e.g. using an electronic strain gauge to measurebeam deformation [6]. Assignments can mix historical engineering, forensics, andcurrent/emerging problems; each activity can be structured such that the students need to identifythe tool(s) that an engineer (who is not necessarily specialized) would need to solve the problem-at-hand [22]. Certain case studies can illustrate the full design process, e.g. the Wright brothersairplane [21
Paper ID #37614Summer Bridge Programming for Incoming First-YearStudents at Three Public Urban Research UniversitiesMiriam Howland Cummings (Graduate Research Assistant) Miriam is a PhD candidate in Education Research and Evaluation Methods at the University of Colorado Denver (CU Denver) and a graduate research assistant on an NSF S-STEM grant in CU Denver's College of Engineering, Design, and Computing.Maryam Darbeheshti (Faculty) Dr. Maryam Darbeheshti is an Assistant Professor of Mechanical Engineering at the University of Colorado Denver. Her research interests are in multiphase fluid flow, and Engineering
impact on improving student understanding ofspecific course concepts. However, these results counter that of Leininger-Frézal andSprenger [19], who find the use of a VFT did help to enhance student understanding.Common between ours and Dada, et al. [15]’s results are a high percentage (>75%) ofagreement to the pre-survey statement, and thus it is more difficult to make a meaningfulimprovement on student understanding.Comparatively, the remaining 4 statements showed significant differences between pre- andpost-DST survey results (p < 0.05). Observations from Figure 3 in conjunction with this dataimplies the DST was ineffective in assisting students to develop problem solving skills,enabling teamwork, and improving their ability to
, and R. White, “The internet of things – the future or the end of mechatronics,” Mechatronics, vol. 27, pp. 57 – 74, 2015. [5] P. Eichinger, B. Hofig, and C. Richter, “Education 4.0 for mechatronics – agile and smart,” in 2017 International Conference on Research and Education in Mechatronics (REM), 2017, pp. 1–7. [6] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P. Wenderoth, “Active learning increases student performance in science, engineering, and mathematics,” Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410–8415, 2014. [7] J. Gao and J. Hargis, “Promoting teachnology-assisted active learning in computer science eduation,” The Journal of Effective
Concept(s) Conventional + Assigned Readings Learning Working of Example(s) Activity + Practice: Homework Feedback and Low-Stakes Productive + Quizzes Failure Walkthrough of Concept Assigned Videos and Short Readings
.2016.02.002.[4] J. Tuttas and B. Wagner, "Distributed online laboratories," in International Conference on Engineering Education, 2001, pp. 6-10.[5] T. De Jong, S. Sotiriou, and D. Gillet, "Innovations in STEM education: the Go-Lab federation of online labs," Smart Learning Environments, vol. 1, no. 1, pp. 1-16, 2014.[6] M. Hernández-de-Menéndez, A. Vallejo Guevara, and R. Morales-Menendez, "Virtual reality laboratories: a review of experiences," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 13, no. 3, pp. 947-966, 2019/09/01 2019, doi: 10.1007/s12008-019-00558-7.[7] M. Abdulwahed and Z. K. Nagy, "Applying Kolb's Experiential Learning Cycle for Laboratory Education
; Document Types: Engineering Rechtin; Karthik Nayani; Thomas W. Review Article or Article; O) OR AU=(THOMA GREG) OR AU=(WALKER HEATHER L) OR AU=(WALTERS KEISHA B) OR [11] Smith; Tom O. Spicer; Greg Thoma; Heather L. Walker; AU=(WICKRAMASINGHE RANIL) OR AU=(WICKRAMASINGHE RANIL S) OR AU=(WICKRAMASINGHE Affiliations: University of Keisha Bishop Walters; Ranil Wickramasinghe SUMITH
; Plaza, D. (in preparation). Sweetheart Deals: informal promotion practices that produce gendered and racialized workplace inequities in higher education, ADVANCE Journal.Davis, S., Nolen, S., Cheon, N., Moise E., & Hamilton E. (in review). Engineering Climate for Marginalized Groups: Connections to Peer Relations and Engineering Identity.Davis, S., Nolen, S, & Koretsky M. (in preparation A). Shifting Instructional Practices through Co-teaching: A CHAT Analysis of Organizational LearningDavis, S., Nolen, S, & Koretsky M. (in preparation B). Inclusive Excellence: Synergies Between Equity and Student Learning in PracticeEfu, S. I. (2019). Exams as learning tools: A comparison of traditional and collaborative assessment in
internships during recession isneeded.References:Adhikari, S., Mosier, R., and Yates, H. (2021). “Covid-19 effects on student internships in theconstruction industry: Experiences from Georgia and Oklahoma.” Submitted to 2021 ASEE AnnualConference & Exposition. In Review.Akala, A. (2020). “Students among workers getting stiffed as many internships canceled. Here's howthey can stay competitive.” CNBC.com. < https://www.cnbc.com/2020/04/22/64percent-of-canceled-job-internships-offer-no-compensation.html>Barr, A., Turner, S.E. and Danziger, S. (2013). "Expanding Enrollments and Contracting State Budgets: TheEffect of the Great Recession on Higher Education." The ANNALS of the American Academy of Politicaland Social Science. V.650 I.1 pp. 168-93
Center for Science and Engineering Statistics, “Women, minorities, and persons with disabilities in science and engineering: 2019,” https://ncses.nsf.gov/pubs/nsf19304/data, 2019, accessed: 2021-5-24. [4] H. S. Al-Khalifa, H. R. Faisal, and G. N. Al-Gumaei, “Teaching mobile application development in 20 hours for high school girls: A web-based approach,” in 2019 IEEE Global Engineering Education Conference (EDUCON), 2019, pp. 16–21. [5] Y. Chen, Z. Chen, S. Gumidyala, A. Koures, S. Lee, J. Msekela, H. Remash, N. Schoenle, S. Dahlby Albright, and S. A. Rebelsky, “A middle-school code camp emphasizing digital humanities,” in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’19. New York
of an underlying factor(s), indicating that factor analysis is possible. Bartlett’s test ofsphericity measures the hypothesis that the item correlation matrix is an identity matrix, whichrepresents that factor analysis is not possible as the items are unrelated. A significant test result (p< 0.05) rejects the null hypothesis, indicating that the data are factorable [25].The number of factors were then determined using a scree plot examination, Kaiser test, andparallel analysis [24]. The scree plot is a line plot of eigenvalue factors that shows the point atwhich extracting more factors does not explain more variance. The Kaiser method retains factorswith eigenvalues greater than 1 [24]. Parallel analysis helps determine meaningful factors
mobile LiDAR systems: Longitudinal profiles and cross-sections," Isprs Journal of Photogrammetry & Remote Sensing, vol. 96, pp. 28–37, 2014.[5] C. Zhang, D. Arditi, and Z. Chen, "Using terrestrial laser scanners to calculate and map vertical bridge clearance," Isprs International Archives of the Photogrammetry Remote Sensing & Spatial Information Sciences, 2013.[6] L. J. Sánchez-Aparicio, M. G. Masciotta, J. G. Alvarez, L. F. Ramos, and P. Monteiro, "Web-GIS approach to preventive conservation of heritage buildings," Automation in Construction, vol. 118, p. 103304, 2020.[7] P. Meadati, J. Irizarry, and F.-s. Liou, "Teaching Using 3D Laser Scans," in 49th ASC Annual International
academicsettings, was found to be significantly (p<0.05) different for males and females. This isconsistent with the results from Rodriguez & Esparrago [21]’s study which used the intrinsicmotivation inventory to determine that male and female students have significant differences inhow they are motivated by choice. Their study, which used a pretest/posttest design to study theimpacts of a multinational design project on motivation, found that female students did notexperience a reduction in their choice score after the design project. It is possible that the resultsof the current study describe consistency in the female student’s motivational scores alongside adecrease in overall academic motivation for males although this cannot be determined for
, 425–435.Duval-Couetil, N. & Wheadon, J. (2013). The value of entrepreneurship to recent engineering graduates: A qualitative perspective. in Proc. 2013 IEEE Front. Educ. Conf. 114–120.Dweck, C. S. (2000). Self-theories: Their role in motivation, personality, and development. New York: Routledge.Dweck, C. S. (2006). Mindset: The new psychology of success. New York: Ballantine.Elliot, A. J., & Church, M. A. (1997). A hierarchical model of approach and avoidance achievement motivation. Journal of Personality and Social Psychology, 72 (1), 218-232.Elliot, A. J., & McGregor, H. A. (2001). A 2x2 achievement goal framework. Journal of Personality and Social Psychology, 80 (3), 501-519.Henry, M. A., Shorter, S
some limitations: (1) Results are based on studentretrospectives containing the reflections of students regarding their teamwork experience. (2) Wecould not interview students, so all results are based on students’ reflections of teamwork. Futurework should explore this further with control groups to better identify if it is online instructionthat lends itself to improved teamwork.References[1] K. S. Koong, L. C. Liu, and X. Liu, “A Study of the Demand for Information Technology Professionals in Selected Internet Job Portals,” vol. 13, p. 9.[2] M. P. Sivitanides, J. R. Cook, R. B. Martin, B. A. Chiodo, and F. Landram, “Verbal Communication Skills Requirements for Information Systems Professionals,” J. Inf. Syst. Educ