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
the system. Where theOLTF magnitude is large the closed loop transfer function (CLTF) magnitude is approximatelyone and the error is small, meaning the output will track the command. slope in region near xc crossover should e x Op G (s ) G ( s ) = x / e = OLTF ga fr be -20 dB/dec h i at ’ + en
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
Paper ID #42318Board 318: Instructor Experiences Integrating Facilitated Socially EngagedEngineering Content in their CoursesClaudia G Cameratti-Baeza, University of Michigan At CRLT, Claudia works with the Foundational Course Initiative (FCI) as Pedagogy & Instructional Design Consultant. In this role, she partners with departmental instructional teams and fellow FCI consultants to support the Universityˆa C™s large introductorDr. Erika A Mosyjowski, University of Michigan Erika A. Mosyjowski is the Research and Faculty Engagement Manager in the Center for Socially Engaged Design within University of Michigan College of
stress S max in Figure 2a at a local stress-riser in the truss element isdefined as follows: Proceedings of the 2007 Midwest Section Conference of the American Society for Engineering Education 4S max = K t S ave (1)where Save is the uniform normal stress in the truss element at the location of the stress-riser and K t is the theoretical stress concentration factor (based on theoretical elastic,homogenous, isotropic material). The application of the theoretical stress concentration factor K t for static loadingdepends on the material type as follows:• Ductile Material ( ε f
and their career progression in STEM fields [1]-[2].In order to bridge these gaps, the U.S. National Science Foundation (NSF) Scholarships inScience, Technology, Engineering, and Mathematics Program (S-STEM) has fundedprograms aimed at supporting students through scholarships, mentorship, and careerdevelopment. The Graduate Engineering Education Scholarship (GEES) of the University ofPittsburgh is one of the success cases of the NSF S-STEM (Track 2) initiative. The GEESprogram, launched 2019 by the University of Pittsburgh’s Swanson School of Engineering(SSoE), is an attempt to address the financial issues that low-income students face. There aretwo primary objectives: (1) to increase access to Master of Science (MS) degrees
advancing technology,is increasing the necessity for astute critical thinking skills, yet many students arrive at the universitywith these skills underdeveloped. Such higher-level thinking involves analyzing, evaluating, andcreating (the topmost three levels of thinking in Bloom‟s Taxonomy of the Cognitive Domain revisedby Anderson in 2001). Several researchers in the late 1990s into the 2000s have shown thatprocessing new information using these thinking skills increases students‟ information retention. Inaddition, thinking critically helps prepare students to become successful global citizens because theycan make the decisions and solve the problems of modern life more astutely, having both theknowledge retained and the thinking skills developed
the National Science Foundation under multiplegrants in EEC 1623105, 1914578, 1915484, 1913128, and 1751369. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References1. Forin, T.R., Sukumaran, B., Farrell, S., Jahan, K., Bruckerhoff, T.F., and Lezotte, S., Revolutionizing engineering diversity. Proceedings of the American Society for Engineering Education Annual Conference & Exposition, 2018. DOI:10.18260/1-2-- 30035.2. Forin, T.R., Farrell, S., Jahan, K., Hartman, H., Sukumaran, B., Dusseau, R.A., Bauer, S.K., Bruckerhoff, T.F., Zeppilli, D., and Lezotte, S
problems. They have learned to design,build, simulate, perform instrumentation and system integration, and/or test the developedmethods and algorithms in a multidisciplinary environment. This has resulted in improvedreadiness for careers that require multidisciplinary knowledge and skills.AcknowledgementThe project is funded by the NSF’s EEC Program. We would also like to thank LockheedMartin and Northrop Grumman Corporations for hosting the participants and giving them a tourof their research labs and facilities. We would also like to thank Northrop GrummanCorporation and Lockheed Martin Corporation for their continued support of the UAV Lab atCal Poly Pomona and its students.References[1] Bhandari, S., Tang, F., Aliyazicioglu, Z., Raheja, A
well as information for stakeholders to use inefforts to recruit and retain individuals traditionally underrepresented in engineering. The reportalso discusses the future of engineering education in light of these findings.This award was co-funded by the Division of Undergraduate Education in the Directorate forEducation and Human Resources and by the Division of Engineering Education and Centers inthe Directorate for Engineering. References[1] R. W. Lent, S. D. Brown, J. Schmidt, B. Brenner, H. Lyons, and D. Treistman. “Relation of contextual supports and barriers to choice behavior in engineering majors: Test of alternative social cognitive models,” Journal of Counseling Psychology, 50
AC 2008-1419: KANSAS STATE UNIVERSITY’S ELITE SCHOLARSHIPPROGRAM:ENHANCING LIVES THROUGH TECHNOLOGY ANDENGINEERINGRaju Dandu, Kansas State University at Salina Raju S. Dandu is the program coordinator and professor of Mechanical Engineering Technology at Kansas State University at Salina. He teaches courses in CNC Machine Processes, Material Strength and Testing, Advanced CAD/CAM, Industrial Instrumentation and Controls, and Automated Manufacturing Systems II. He is active in offering workforce training in reliability centered maintenance, CE certification, process instrumentation and PLCs. His areas of interest are: Product risk analysis, Reliability Centered Maintenance, Energy Efficient Lighting
analytical modeling of semiconductor devices and sensors, and electronic instrumentation and measurement.Joshua Ward, Fairchild Semiconductor Josh Ward was a senior level Electrical Engineering student at the University of Southern Maine and was working as a Thin Films Process Technician at Fairchild Semiconductor Corporation, S. Portland while working on this project. He will complete his coursework and graduate from U.S.M. with a B.S. degree in Electrical Engineering in May 2008. Upon graduation he expects to be promoted to Process Engineer at Fairchild Semiconductor. Josh’s interests are semiconductor device fabrication, CMOS integrated circuit design and automated testing.Robert N
the time thatcan be devoted to this algebra practice. A simple method of partial fraction expansion, to check the studentswork or do the work for them, allows the students to learn more about how mathematical expressionsrepresent the circuits operation. In Matlab, the residue@,D) command provides a partial fraction expansion of a polynomial withnumerator, N, and denominator, D. For instance, consider a simple series RLC circuit with the output takenacross the capacitor. After transformation of this circuit into the Laplace domain and a few calculations,Equation [1] is found to represent the Laplace polynomial of the output of the circuit, where VO(S) is theoutput across the capacitor and VI(S) is the generalized input waveform.A common
in the rejected heat by a shaded and unshaded condenser isdue to solar flux received by the condenser face area. Thus, to investigate the effects of a shadedcondenser on the COP of the refrigeration cycle, solar flux was skipped for the correlatingequations and compared to the normal case when solar flux is available.The improvement in the COP of the cycle was defined as:𝐼 (1)where the subscripts “s” and “u” stand for shaded and unshaded cases, respectively.To evaluate the COP of each case, equations (2) and (3) were used for shaded and unshadedCOP, respectively.𝐶𝑂𝑃 (2) ,𝐶𝑂𝑃
; 0S ( x) = .......................(1) + 1, 0 < x < π Nowadays, however, the availability of software that can evaluate and plot functions easily makesit very convenient to show Gibbs Phenomenon in a way that makes it accessible to all students.Indeed, Gottlieb and Shu[1], who have studied Gibbs phenomenon extensively, display an effectiveanimation of this phenomenon on their website. However, in that animation, students observe theresults of a completed process and it is difficult for the novices among them to learn from thedetails that led to the final results they see on the animation. Our experience indicates that, afterstudents have plotted partial sums on their own, such an animation becomes a
besteducational systems in the Middle East where higher education institutions constitute aprosperous source of fresh engineers for the Gulf region and it is regarded as an engineeringeducational center in the Middle East6.Theoretical frameworkThe Theory of Reasoned Action (TRA) helps characterizing human behavior as intentional andrational. This model provides a social psychological framework proved to be useful in explainingseveral types of behavior7,8. It suggests that someone‟s Behavioral Intention (BI) depends onAttitude (A) and Subjective Norm (SN). This framework will help predicting the intention forholding a doctoral degree in engineering. The Behavioral Intention (BI) defines the objective toenroll a PhD program in the future. Attitude (A
engineering design, in preparation for a society that increasinglydemands technological literacy of its citizens.AcknowledgementsThis study was supported by the National Science Foundation under grant DRL-1316762. Anyopinions, findings, and conclusions expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.ReferencesAhmed, S., Wallace, K. M., & Blessing, L. (2003). Understanding the Differences Between How Novice and Experienced Designers Approach Design Tasks, Research in Engineering Design, 14 (2003) pp 1-11.Atman, C.J., R.S. Adams, S. Mosborg, M.E. Cardella, J. Turns, and J. Saleem (2007). “Engineering Design Processes: A Comparison of Students and Expert
fundamentals of theengineering design process.Over the past four years the author has been responsible for teaching the introductoryengineering course for students on the Missouri State University (MSU) campus who areparticipating in the Cooperative Engineering Program operated by Missouri University ofScience & Technology (Missouri S&T) in cooperation with MSU.During that time, a number of different ideas and topics have introduced in the course. Somewere successful but others failed for a variety of reasons. This paper discusses both thesuccesses and failures and offers suggestions for other teaching similar courses.IntroductionOn August 21, 2006, the Governor of the state of Missouri, along with the Curators of theUniversity of Missouri
Blue llow data po ointsare with t motor ru the unning at 100 power: B with a s 0% Blue small hub fo the pulley, Yellow wit a or , th [5]large hub The Red data points ar with the m b. d re motor runnin at 50% wi the small hub . ng ith lGiven the graphs and an overview on basic p e d w physics, the
b since using “Add Trendline” cannot Table 1: Record the time for specific heights of the water during an experiment Time (s) Height (cm) 12 11 10 9 8 7 6 5 4 3
based technologies, biological transport and moreover crucial for understanding the behavior of water in confined nanopores. V. References [1] S. Yesudasan, “Extended MARTINI water model for Fig. 4: This graph represents the calculation of water using the heat transfer studies,” Molecular Physics, vol. 118, SPC/E model with different diameters. no. 13, p. e1692151, Jul. 2020, doi
, DC, pp. 1– 77, 2012.[5] National Research Council, “Promising Practices in Undergraduate Science, Technology, Engineering, and Mathematics Education: Summary of Two Workshops,” The National Academies Press, Washington, DC, 2011. Accessed on 13 June 2016 from http://www.nap.edu/catalog.php?record_id=13099[6] T. A. Litzinger and L. R. Lattuca, “Translating Research into Widespread Practice in Engineering Education,” in A. Johri and B. Olds. (Eds.), Cambridge Handbook of Engineering Education Research, Cambridge University Press, New York, pp. 375–392, 2014.[7] S. Zappe, K. Hochstedt, E. Kisenwether, & A. Shartrand, “Teaching to innovate: Beliefs and perceptions of instructors who teach
Paper ID #37539Application of Internet of Things in Online Robotics ClassZhou Zhang (Dr.)Yizhe Chang Yizhe Chang is an assistant professor in mechanical engineering.Andy Zhang (Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.com 2022 ASEE Annual Conference & Exposition Minneapolis, Minnesota, USA, Conference: June 26 – 29, 2020 Zhang, Z., Chang, Y., Esche, S. K, Zhang, A., Application of Internet of Things in Online Robotics Class
time;connection, enabling them to conduct experiments even ifthey don’t have access to a physical laboratory. • web server, responsible for making system information available (signals from sensors, equipment images, WebLab's have been implemented in several institutions etc.) at interface accessible by the user remotely;since the 90's, presenting solutions for remote operationgenerally using commercially available software or dedicatednetworks [1]-[6]. At the Instituto Mauá de Tecnologia, several • user interface