, 2024AbstractThere is substantial opportunity for engineering graduates to enter the workforce to engage in afulfilling career and achieve social mobility. Still, there is a lack of adequate support forlow-income, academically talented students. The purpose of this poster is to describe theinterventions designed to support S-STEM scholarship students at Rowan University in the firstyear of our S-STEM project. Our S-STEM project objectives are threefold: 1) Providescholarships to encourage talented students with low incomes and demonstrated financial need toinitiate and graduate from engineering majors in the College of Engineering at Rowan Universityand subsequently enter the engineering workforce or a graduate program; 2) Develop a supportsystem that
, no. 4, pp. 669–680, 1997, doi: 10.1037/0012-1649.33.4.669.[3] S. Sorby, E. Nevin, A. Behan, E. Mageean, and S. Sheridan, “Spatial skills as predictors of success in first-year engineering,” in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, Oct. 2014, pp. 1–7. doi: 10.1109/FIE.2014.7044005.[4] Y. Maeda and S. Y. Yoon, “Scaling the Revised PSVT-R: Characteristics of the First-Year Engineering Students’ Spatial Ability,” presented at the 2011 ASEE Annual Conference & Exposition, Jun. 2011, p. 22.1273.1-22.1273.19. Accessed: Dec. 22, 2021. [Online]. Available: https://peer.asee.org/scaling-the-revised-psvt-r-characteristics-of-the-first-year-engineering-students- spatial-ability[5] S. Dautle and S
both analysis and simulation. Here students have to deal with a third order all-polemodel . (a) Given the three node voltage equations find the transfer function G(s) = V5(s)/V1(s). (b) Plot the poles in the complex s-plane. (c) Find the impulse response function g(t) by inverting G(s). (d) Find the impulse response function g(t) by simulating the filter with a narrow unit area pulse input employing VisSim. Page 4.437.3Exercise 5-Frequency ResponseThis exercise is designed to emphasize the concept of steady-state response of linear, time-invariant systems to sinusoidal driving functions. The gain and phase character of such
------------------------------[1ST TEMP RANGE]----------------------------130 T = 209135 V = 4.922140 S = .0016145 GOTO 295REM------------------------------[2ND TEMP RANGE]----------------------------150 T = 175155 V = 4.86160 S = .0032165 GOTO 295REM-----------------------------[3RD TEMP RANGE]-----------------------------170 T = 150175 V = 4.784180 S = .0048185 GOTO 295 Page 2.463.9 Session 3220REM-----------------------------[4TH TEMP RANGE]-----------------------------190 T = 125195 V = 4.667200 S = .0082205 GOTO 295REM-----------------------------[5TH TEMP RANGE]-----------------------------210 T
many project alternatives that exist for cornerstone courses ([2]), the authors have lookedtowards a service-learning project as a means of achieving their course‟s design learningobjectives [6,7]. Service-learning is defined as a “method under which students learn anddevelop through active participation in thoughtfully organized service” [8]. In the context ofengineering design courses, projects centered in service-learning typically feature the studentteams designing a product or process that meets the needs of a community partner in need.Service-learning activities are becoming more prevalent in engineering curricula as instructorsdiscover that their pedagogical objectives of problem solving, working in groups, andexperiential learning
rolls% Usage: Die10Roll(N)% First attempt to pick random startup state for randrand('state', sum(100*clock))% Define random arrayX=rand(1,N);% Form array of random integers 1 through 6G=floor(10*X);Listing 4 – used to plot experimental data for five six-sided dice. Roll56 creates the data array Roll56d.% IDiceEx.m% Identical Dice Experimental Data% Run data fileRoll56;% Compute the sumsS = sum(Roll56d');% Set up bin centers for histogrambins = 5:31;% Get frequency count and bin centers[n,xout]=hist(S,bins);% Normalize frequency count as fraction of total triesn=n/sum(n);% Create normalized histogram using bar plotbar(xout,n)% Add axes labelsxlabel('Sum of Spots')ylabel('Fraction of Total Tries')% Change default histogram appearanceh
support provided by the National Science Foundation under grantnumber 2315646. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] K. A. Bartlett and J. D. Camba, “Gender Differences in Spatial Ability: a Critical Review,” Educ. Psychol. Rev., vol. 35, no. 1, p. 8, Jan. 2023, doi: 10.1007/s10648-023-09728-2.[2] J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance.,” J. Educ. Psychol., vol. 101, no. 4, pp. 817–835, 2009, doi: 10.1037/a0016127.[3] S. Sorby, “A Course in Spatial
in theconceptual model are mapped to concrete classes, to abstract interfaces in application programinterface (APIs) and to roles that the objects take in various situations. The interfaces and theirimplementations for stable concepts can be made available as reusable services. Conceptsidentified as unstable in object-oriented analysis will form basis for policy classes that makedecisions, implement environment-specific or situation specific logic or algorithms [6] Ite r a te O n A n a ly s is P r o b le m D e fin itio nC la r ify D e fin itio n OOA
, measure of learning. It has been suggested that instructors maybe more lenient with expectations and award higher grades that normal in an attempt tocompensate for the negative circumstances [10] and that grades during this time period wereinflated [11].To date, the majority of studies that explore student performance compare performance duringthe COVID affected semester(s) to performance pre-COVID. We sought to better understandboth the immediate and the ongoing effects of the COVID-19 pandemic and the associatedinstitutional response on our engineering students. We explore student performance in three largemulti-section foundational mechanics courses: Statics, Mechanics of Deformable Bodies(Deformables), and Dynamics. These courses are required
colleagues at Cal State LA she recently received an NSF grant called Eco-STEM which aims to transform STEM education using an asset-based ecosystem model. She is also a Co-PI on an NSF S-STEM grant called ENGAGE which is working to make a more robust transfer pathway for local Community college students. Dr. Thompson is a Co-PI on an NSF ADVANCE grant called KIND with other universities within the CSU. She is a co-advisor to Engineers without Borders, Critical Global Engagement, and oSTEM at Cal Poly.Gustavo B Menezes (Professor)Christina Restrepo Nazar © American Society for Engineering Education, 2022 Powered by www.slayte.com Work-in-Progress: Measuring
toward science and engineering we included an adapted version ofthe Middle/High Student Attitudes Toward Science, Technology, Engineering and Math(S-STEM) survey [33]. The scale measures students' attitudes toward their own proficiency inSTEM subjects (e.g., “I know I can do well in science”), the value of STEM toward futureendeavors (e.g., “Knowing about science will allow me to invent useful things”), and interest inSTE|M careers (e.g., “I believe I can be successful in a career in engineering”). The measureshad sufficient levels of reliability on the pre (ɑ = 0.87) and post surveys (ɑ = 0.87) .Additionally, to measure students' perceptions of engineers and engineering we adapted itemsfrom the “What is Engineering?” survey instrument [9]. The
Lab., 2019.[3] D. S. Touretzky, C. Gardner-McCune, F. L. Martin, and D. Seehorn, “Envisioning AI for K-12: What Should Every Child Know about AI?,” In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, Palo Alto, CA: AAAI Press, 2019.[4] J. McCarthy, “From here to human-level AI,” Artificial Intelligence, vol. 171, no. 18, pp. 1174–1182, 2017.[5] S. Akgun, and C. Greenhow, “Artificial intelligence in education: Addressing ethical challenges in K-12 settings, AI and Ethics, pp. 1-10, 2021.[6] J. Su, and Y. Zhong, “Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions,” Computers and Education: Artificial Intelligence, vol. 3, 2022.[7
Journal of Environmental Research and Public Health 2020, 17 (19), 1–8. https://doi.org/10.3390/ijerph17196960. Karimzadeh, S.; Bhopal, R.; Huy, N. T. Review of Infective Dose, Routes of Transmission, and Outcome of COVID-19 Caused by the SARS
(for engineering context) 8-item, validated instrument focused on longer-term,maintained interest. The methods that follow were developed to explore a multi-subfactordepiction(s) (from literature) of maintained interest, including conceptualizing and analyzingstudent responses. Two associated research questions thusly addressed in this study are: 1) whatis the strongest factor structure for measuring the construct of first-year engineering students’long-term, stable maintained interest in the choice of pursuing an engineering career?; and 2)how strong is the fit of theoretically-grounded structural models of the construct of first-yearengineering students’ maintained interest in engineering careers? Results show significantempirical support in
California. American c Society for Engineering Education, 2021 Expectations for Future Health and Safety Professionals from Current Professionals in ConstructionAbstractThe Health & Safety (H&S) environment in the construction industry is dynamic, and mustevolve alongside all other construction operations taking place, whether that is theintroduction of new technology, new methods of communication, supervision, or reporting.Safety professionals currently serving in the construction industry have a front and centerview of this evolving world, and have advice, as well as expectations, for the newergenerations of construction industry professionals who
project progress and outcomes along with a comprehensive project report onthe detailed design process and results of the individual design project. After the ME 461/462, each involved student group is expected to learn substantial hands-ondesign and manufacturing experiences through a detailed design and prototype manufacturingprocess along with close interaction with the faculty mentor(s). These design projects areformulated by the faculty mentors from industrial sponsors or spinoffs of research projects. Therelatively flexible, independent, and self-consistent nature of the senior design projects providethe opportunities to formulate new design project modules to incorporate new developments ofcontemporary sciences and technologies into the
assignment was due for MAE 434W,which could have influenced questions 8 and 11. Based on the instructors’ feedback, Expertizawas updated between semesters and the scores from the spring semester suggest the studentsfound the newly adjusted system easier to use.Table 2. Average Survey Results per Class from the Fall and Spring Semesters. Survey Question Fluid Mechanics Capstone Design 1. The reviews I received addressed F 3.41 F 3.63 the questions/concerns I had about S 3.79 S 3.43 my work. 2. The reviews I received gave me F 3.50 F 3.63 new insight into my work. S 3.80
., & Goldfinch, T. (2012). EngineeringAcross Cultures. Retrieved fromhttp://aaeescholar.pbworks.com/w/file/fetch/61545770/Engineering%20Across%20Cultures%20%5Bdraft%20unformatted%5D.pdf; Williams, B., Figueiredo, J., & Trevelyan, J. (Eds.). (2014). Engineering Practice in a GlobalContext: Understanding the Technical and the Social. Leiden: CRC Press/Balkema.2 Jesiek, B. K., Qin, Z., Woo, S. E., Thompson, J. D., & Mazzurco, A. (2014). Global Engineering Competency inContext: Situations and Behaviors. Online Journal for Global Engineering Education, 8(1), p. 1.3 Lloyd, S., & Härtel, C. (2010). Intercultural competencies for culturally diverse work teams. Journal ofManagerial Psychology, 25(8), 845–875
, S. A. (1999). Developing 3D spatial visualization skills. Engineering Design Graphics Journal, 63(2), 21–32.[6] Olkun, S. (2003, April). Making connections: Improving spatial abilities with engineering drawing activities. International Journal of Mathematics Teaching and Learning, 1–10.[7] Sutton, K., & Williams, A. (2008). Developing a discipline-based measure of visualization. UniServe Science Proceedings, 115–20.[8] Martín-Dorta, N., Saorín, S. J., & Contero, M. (2008). Development of a fast remedial course to improve the spatial abilities of engineering students. Journal of Engineering Education, 97(4), 505–13.[9] Guay, R. B. (1977). Purdue Spatial Visualization Test: Rotations. West Lafayette, IN: Purdue Research
abilities? • Career Decision Making: What career goals, expectancies, and values do engineering students have? How do these develop and change over time? What career choices do engineering students make for after graduation, and what role(s) does their career and self knowledge play in their decisions?We are using a multi-method approach to answer our research questions. We have alreadyinterviewed engineering faculty, student advisors, and career services staff at our six partnerinstitutions, to help us understand (1) the career resources available to engineering students onthese campuses, (2) the career pathways that these engineering students typically take, and (3)the skills and abilities they believe students need to find
investmentand is hypothesized to contribute significantly to national economic security and nationaldefense. We would like for this paper to stimulate a national dialogue leading to a dynamicrevival of Coastal, Ocean and Marine Engineering research and graduate education in the UnitedStates.Background A compelling argument can be made that the coastal engineering profession was bornwith legislation by the U.S. Congress that established the Beach Erosion Board and subsequentlythe Coastal Engineering Research Board for the purpose of advising the Chief of Engineers onthe direction that coastal engineering research should take to enable the nation to solve pressingbeach erosion challenges. For over 30 years from the 1930's, to the 1960's, the Beach
qs qswhere the subscript s denotes a scale factor and the subscript r denotes a reference factor. Scalefactors are introduced in order to normalize the dimensionless variable to be of order one,whereas reference factors are introduced in order to reference the dimensionless dependent orindependent variable to zero. Note that we have scaled all the dependent and independentvariables. Note also that we have considered the adsorption rate to be a dependent variable that isscaled by qs . It is not necessarily true that the adsorption rate would be scaled by qs t s , sincethe amount adsorbed might not experience a characteristic change of qs over the characteristictime ts . Recall here that our goal is to scale all the above dependent
Capacity to Pilot and Scale Corequisite Calculus for First Year Engineering Gateway CoursesAbstract:Norwich University, the oldest Senior Military College in the nation and the first private U.S.institution to teach engineering, has a residential program for approximately 2,100 primarilyundergraduate students in both the Corps of Cadets and civilian lifestyles. Norwich secured aNational Science Foundation S-STEM award in the beginning of 2020 to develop a program toattract and retain highly talented, low-income students in STEM. One of the aims of the projectwas to support students who enter college with less experience in mathematics as these studentswere significantly less likely to
) $2061 $2062 $2063 Figure 5. Memory utilization for FIR filter implementation.Each filter is implemented in a fixed-point format3-5 in which each data contains 15 bits formagnitude and 1 bit for sign bit (Q-15 format). The 2’s complement form is used for any Page 22.1384.6negative number. The designed FIR filter coefficients are quantized into 16 bits as following: b0 0.006 215 197 , b1 0.0493 215 1615
education ofengineers. Both classes also offer formal training and activities focused on inter/cross-culturalcompetency development.The study reported here is based on survey data collected during multiple offerings of thesecourses over the span of three years, encompassing a total of 79 students. The survey consistedof items from the Global Engineering Competency-Situational Judgment Test (GEC-SJT),Cultural Intelligence Scale (CQS), and Miville-Guzman Universality-Diversity Scale-Short form(MGUDS-S). These three instruments, together, form a multi-faceted view of a student’spotential ability to perform and adapt in an international work environment. To analyze thesemeasures longitudinally, we compare students’ pre- and post-course scores on each
. Evaluation of the enhancement in student learning, brought about by useof these tools, has been accomplished by a variety of assessment techniques. Next, theassessment results are correlated with the student’s Myers-Briggs Type Indicator (MBTI) as wellas the type of “learner” they are, as measured by the VARK learning style inventory. Resultsindicate that the hands-on and visual content overall enhances the learning experience.Specifically, it is rated highly by the MBTI “N” type students, but not as highly by the MBTI“S” types. However, both S-types and N-types benefited from it in their ability to solveproblems. VARK K-types gave the hands-on and visual content the highest rating of any student“type” we studied.1. IntroductionThe Fundamentals of
students.Limitations and Future WorkThe frameworks must be validated through qualitative research, and the work should beexpanded to include integration pathways.AcknowledgementThis work was funded by the National Science Foundation (NSF) with Grant No DRLGEGI008182. However, the authors alone are responsible for the opinions expressed in thiswork and do not reflect the views of the NSF.References[1] B. Vittrup, S. Snider, K. K. Rose, and J. Rippy, "Parental perceptions of the role of media and technology in their young children’s lives," Journal of Early Childhood Research, vol. 14, no. 1, pp. 43-54, 2016.[2] A. Sullivan, M. Bers, and A. Pugnali, "The impact of user interface on young children’s computational thinking," Journal of Information
take off the skinheat and mass transfer coefficients are determined during the and cut the apples into the desired amount and thickness ofconstant-rate drying period. slices. The safety equipment used during this project included10 Chemical Engineering Education TABLE 1 Comparison of experimental and literature values Coefficient Experimental Value Literature Value Range (Reference) Effective Diffusivity (m2/s) 3.3 x
researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs. c American Society for Engineering Education, 2019 Paper ID #25442Dr. Joyce B. Main, Purdue University-Main Campus, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell
directly over the conveyor areconsidered as two horizontal planes. These two planes are considered parallel, hence any point Page 12.1236.4on the image plane (denoted as ai and bi in Figure 3) can be mapped into the robot plane. Figure 2. Snapshot of the API developed for EQM. By operating individual values of ai and bi with the scale factors Sx and Sy, the imagecoordinates (pixel coordinates) can be translated into the robot coordinates using the followingfunctional relationship40: f : Pi 5 R i +S i © v i +i i , (1)where Pi = the robot state vector