mention of new advanced manufacturing techniques. Following an evidence-basedapproach, our goal is to development an age-appropriate, project-based AM curriculum thataddresses young students’ disposition, knowledge, and skills related to AM and facilitates theiraction outcomes towards pursuing AM education opportunities and career paths.References[1] M. A. Mardis and F. R. Jones, “Assessing School-to-Career Pathways for Manufacturing in Rural Communities: Further Investigation of Advanced Manufacturing Programs in Northwest Florida,” in 2020 ASEE Virtual Annual Conference Content Access, 2020.[2] C. S. Tenney, M. A. Mardis, and F. R. Jones, “Discerning advanced manufacturing education pathways: Insights from rural northwest Florida’s
could motivate unhelpful actions, such as blaming students in an educational setting. Byunderstanding a robust picture on how professional shame functions in the interior worldsindividual faculty, we aim to help faculty have tools to harness this powerful emotional state inways that increase social connectedness, both for themselves and their academic programs.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Additionally, the authors gratefully acknowledge the anonymous reviewersfor their
Education, Educational Research Methods, Multidisciplinary Engineering, Experimentation and Laboratory-Oriented Studies, and Systems Engineering Divisions. He also volunteers as a Program Evaluator for ABET accreditation in the EAC and ETAC. ©American Society for Engineering Education, 2024 Leveraging Innovation and Optimizing Nurturing in STEM:Engineering identities in low-income students across their first year of college (NSF S-STEM #2130022)Leveraging Innovation and Optimizing Nurturing in STEM (NSF S-STEM #2130022, knownlocally as LION STEM Scholars) is a program developed to serve low-income undergraduateEngineering students at Penn State Berks, a regional campus of the
: Computer Science FAQ”, https://www.NJ.gov/education/techno/csfaq.htm.[6] K. G. Herbert, V. K. Anu, K. Z. Sultana, S. Robila, J. R. Miller, S. Hagiwara, R. A.Goldstein, and T. J. Marlowe, "Professional and Capacity Building in K-12 Computer ScienceEducation: A Multi-Faceted Approach”, ACM SIGCSE '23: Proceedings of the 54th ACMTechnical Symposium on Computer Science Education, Toronto, Canada, March 2023.
, Eds., New York, NY, USA: Routledge, Aug. 2023, pp. 125-143.[6] C. Lewis and R. Perry, “Lesson study with mathematical resources: A sustainable model for locally-led teacher professional learning.” Math. Teacher Educ. and Develop., vol. 16, no. 1, pp. 1-20, Jun. 2014.[7] K. Smith, S. Finney, and K. Fulcher, “Connecting assessment practices with curricula and pedagogy via implementation fidelity data,” Assmt. & Eval. in Higher Educ., vol. 44, no. 2, pp. 263-282, 2018, doi: 10.1080/02602938.2018.1496321.[8] M. Swain, S. J. Finney, and J. J. Gerstner, “A practical approach to assessing implementation fidelity,” Assmt. Update, vol. 25, no. 1, pp. 5-13. Jan-Feb. 2013.[9] M. Vazquez Cano and M. Yin
between the learner and their environment andinfluenced learners' achievements" [8, p. 86]. While remembering that one study app or methoddoes not fit all needs, students must learn the principles of self-regulated learning and how to studyto foster deep understanding. Although this initial pilot study was done within an in-person course,these problems are only compounded for online courses due to reduced personalized guidance,interaction, and feedback. Intentional thinking involves analyses of one's thinking. Studentsdevelop strategies or ways of thinking about the task at hand and the processes or strategiesnecessary to complete the task.COVID-19’s dramatic shift to remote learning left many students struggling in online learningenvironments
conductingcontrol group data collection. All educational materials will be designed to use in the controlgroup (without SedimentSketch), and then repeated using SedimentSketch in the test group.Additionally, we are working on the initial user interface design and development of the pilotversion of SedimentSketch.In years two and three, we will complete SedimentSketch development, test it in the classroom,and work on assessment data analysis and evaluation.1 AcknowledgementsThis work was supported by the National Science Foundation under Grant “HSI Implementationand Evaluation Project: SedimentSketch, teaching tool in and beyond the sedimentologyclassroom to provide equitable and inclusive learning for Hispanic students” #2318386.References[1] R. S
.; Johnson, M. Advanced Manufacturing Research Experiences for High School Teachers: Effects on Perception and Understanding of Manufacturing; 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah. 10.18260/1-2--30079.(3) Pinnell, M.; Taylor, M. R.; Mian, A.; Preiss, S. M.; Petry, L.; Franco, M. S. Assessment of a Collaborative NSF RET Program Focused on Advanced Manufacturing and Materials, 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26325.(4) Zhu, W.; Fan, X.; Brake, N.; Liu, X.; Li, X.; Zhou, J.; Sisk, D.; Yoo, J. Engineering Design and Manufacturing Education through Research Experience for High School Teachers. Procedia Manuf. 2018, 26, 1340–1348.(5) Zhang, W. Manufacturing
Integration in Core Engineering Science Courses,” Proceedings of the ASEE Annual Conference & Exposition, p. 1, Jan. 2015.[8] J. Larson, W. M. Barnard, A. R. Carberry, and D. Karwat, “Student Recognition, Use, and Understanding of Engineering for One Planet Competencies and Outcomes in Project-based Learning,” presented at the 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. Accessed: Jan. 08, 2024. [Online]. Available: https://peer.asee.org/student-recognition-use-and-understanding-of-engineering-for-one-plan et-competencies-and-outcomes-in-project-based-learning[9] D. Lopatto, “Undergraduate research as a high-impact student experience,” Peer Review, vol. 12, no. 2, p. 27+, 2010.[10] A. L. Zydney, J. S
approach to assess newly designed modulesfor the QIST hardware course offered in the Spring 2024 semester at the University of Florida.Introduction & BackgroundQuantum computing is a field of computing that utilizes principles from quantum mechanics, abranch of physics that deals with the behavior of matter and energy at the atomic and sub-atomicscales. At the atomic and subatomic levels, electrons, photons, and ions act as qubits. In classicalcomputers, bits are processed sequentially, performing tasks one after the other. However, inquantum computing, qubits can be entangled, a phenomenon where the state of two or morequbits becomes correlated. Unlike classical computers that use bits to represent information as0’s and 1’s, quantum computers
-determination theory. In Handbook of theories of social psychology, P.A.M. van Lange, A.W. Kruglanski, and E.T. Higgins (Eds.). Sage Publications Ltd., 416–436.[2] Catherine Good, Aneeta Rattan, and Carol S Dweck. 2012. Why do women opt out? Sense of belonging and women’s representation in mathematics. J. Pers. Soc. Psychol. 102, 4 (2012), 700–717.[3] Soohyun Nam Liao, Sander Valstar, Kevin Thai, Christine Alvarado, Daniel Zingaro, William G Griswold, and Leo Porter. 2019. Behaviors of higher and lower performing students in CS1. In Proceedings of the 2019 ACM Conference on Innovation and Tech- nology in Computer Science Education (Aberdeen Scotland Uk). ACM, New York, NY, USA.[4] Adrian Salguero, William G Griswold, Christine
students’ experiences of support mechanisms to enhance wellbeing on an engineering programme in the UK,” Eur. J. Eng. Educ., vol. 0, no. 0, pp. 1–16, 2020, doi: 10.1080/03043797.2020.1835828.[2] B. J. Sottile, L. E. Cruz, Y.-A. Lo Burleson, and K. Mclain, “It’s About Time: An Analysis of Student Activities Under Remote Learning,” 2021, [Online]. Available: https://peer.asee.org/37412.[3] J. Armstrong, “Workload in Engineering Courses and How To Reduce It,” 1996, [Online]. Available: https://aaee.net.au/wp- content/uploads/2020/07/AAEE2019_Annual_Conference_paper_72.pdf.[4] S. Mansouri, M. Wai, J. Li, and J. Lamborn, “A quantitative method to evaluate student workload,” in Proceedings of the
. Dyehouse, “The role of authenticity in design- based learning environments: The case of engineering education,” Comput. Educ., vol. 64, pp. 143–152, May 2013, doi: 10.1016/j.compedu.2012.11.026.[4] K. Reid, D. Reeping, and E. Spingola, “A Taxonomy for Introduction to Engineering Courses,” Int. J. Eng. Educ., vol. 34, no. 1, p. 18, 2018.[5] B. D. Jones, M. C. Paretti, S. F. Hein, and T. W. Knott, “An Analysis of Motivation Constructs with First-Year Engineering Students: Relationships Among Expectancies, Values, Achievement, and Career Plans,” J. Eng. Educ., vol. 99, no. 4, pp. 319–336, Oct. 2010, doi: 10.1002/j.2168-9830.2010.tb01066.x.[6] J. B. Hylton, P. J. Herak, T. France, and S. Youssef, “Towards Development of an
Bit (LSB) of the opcode governs theselection between two results within the same category (logic or arithmetic). In Fig. 2, theopcode is set to “11,” indicating the operation Y = A – B. Initially, the input B undergoes theconversion to its 2’s complement format, followed by addition to A, and the result is showcasedin the hex-display on the right. Modifying the opcode will accordingly reflect the correspondingresults. Opcode Operation 00 AND 01 OR
work is planned, the author will attempt to introduce amodified version of the project alongside a statics course for sophomore engineeringstudents. 1 Atman, C. J. Adams, R. S. Cardella, M. E. Turns, J. Mosborg, S. Saleem, J. 2007 Engineering DesignProcesses: A Comparison of Students and Expert Practitioners. Journal of Engineering Education, 96(4)pg. 3592 Dally, J. W. , and Zhand, G. M. 1994. A Freshman Engineering Design Course. Journal of EngineeringEducation 83(2) pp 83-9.3 Dym, C.L. Agogino, A. M. . Eris, O. Frey, D. D. Leifer, L. J. 2005 Engineering Design Thinking,Teaching, and Learning Journal of Engineering Education. 94(1) pp 103-1204 Katehi, L. 2005. The Global Engineer
yearsprogramming is still considered to be a difficult course demands the location of a new, probablyearlier, starting point, and different methods and media to teach it. “Programming is a very usefulskill and can be a rewarding career. In recent years the demand for programmers and studentinterest in programming has grown rapidly, and introductory programming courses have becomeincreasingly popular.”4 Since the early 70’s there has been an intense effort towards determiningand adopting appropriate and efficient methods that would optimize the learners’ ability tounderstand and solve programming related problems. 4, 5 For these reasons, identifying theoptimum way to teach programming and algorithmic thinking has for decades been one of thebiggest
are involved in making major focus and study decisionsc) Participants work together as a group with facilitator(s) to promote cohesiond) All aspects of the inquiry are undertaken in ways that are understandable and meaningful toparticipantse) The ideas of all involved are valued; status and power differences between novices andexperts are minimized as much as possible.Because of this level of participation, the faculty mentor, educational researcher, and participantsdecided upon co-authorship of the paper. Similar decisions about authorship have been used inthe health sciences among other fields41,42.The students‘ faculty mentor and the educational researcher initiated preparation of the paperafter facilitating an interview/discussion of the
Figure 7. Exporting the voltage measurements performed on the voltage divider circuitThe goal of the second experiment is to measure the time constant of a simple RC circuit andobserve how the time constant changes when the value of the resistor in the circuit is increased.This experiment requires the use of a waveform generator, and an oscilloscope. Figure 8 showsthe circuit analyzed in the second experiment. Figure 8. RC Circuit driven by a periodic 50% duty cycle square waveformThe EE board provides a 2-channel Arbitrary Waveform Generator and a 4-channel,40MSamples/s Oscilloscope. Figure 9 illustrates the setting used for the waveform generator.,while Figure 10 illustrates the oscilloscope traces used to measure the time constant
thedesigner to modify their design for getting a better product. Magnet field analysis may also beused for finding torque, force, power losses, and induced voltage, which are the primaryparameters of electrical machine performance study.This paper presents the magnet field analysis of a cylindrical permanent magnet linear alternator.This alternator has four permanent magnet rings mounted on a plunger (shaft), which oscillateslinearly when the machine is working. The magnetic polarities (N pole or S pole) of the rings arein radial direction and the polarities alternate from one ring to the next on each side of theplunger. Two of the magnet rings are on each end of the plunger and a magnetic loop is formedby the permanent magnet rings, plunger, stator
recognition of engineering educationin China, and enhance the international competitiveness. Mineral processing of CUMT is thefirst one who is accepted engineering education accreditation, it‟s very significant for thepromotion of the quality of engineering education, its international competition and thedevelopment of the major through accreditation of engineering education as soon as possible.The Development and Characteristics of Mineral Processing of China University ofMining and Technology Mineral processing in CUMT begun 1952, and currently it was developed by early coalpreparation, mineral processing, it was approved for master program in 1981 and doctor in1984. It also established post-doctoral research center in 1985. And in 1988, it was
technical specificationsWhen designing either a transformer or an inductor, a wire is required for the winding(s) aroundthe magnetic core. Wire selection is typically based on the window area of the core as well astolerable amount of copper losses in watts. The web-based magnetic design contains a sub-routine that automatically looks for the wire size (gauge) that most closely fits the calculatedcore material and type. However, since the program is meant to aid in basic calculations ofsimple inductor and transformer designs, the wire selection does not take into account complexconfiguration of winding such as bifiliar or more, interleaving, etc. Figure 5 illustrates the stepwhere wire size is determined including three data related to the selected
integrated circuit layouts for CHIP1 and CHIP2, respectively. Thelayouts were created using L-Edit from Tanner Research, Inc. Page 22.548.3 Fig. 2. High-level block diagrams of MOSIS CHIP1 and CHIP2Fig. 3. L-Edit layout of CHIP1 Fig. 4. L-Edit layout of CHIP2 Page 22.548.4Brief description of MOSIS CHIP1 The detailed block diagram of MOSIS CHIP1 is shown in Figure 5. To keep the initialdesign simple, the input is limited to eight four-bit signed samples in the 2's complement format.In order to avoid overflow, the final output consists of eight complex pairs of
, the a-k outcomes are mapped only to the3000 and 4000 level courses but not to the 1000 and 2000 courses (shaded). An outcome may not Page 22.605.3be required to map to a specific number of courses. For example, outcome ‘f’ is mapped to fivecourses while some outcomes are mapped to as low as two courses only. This is highlighted atthe bottom of the Figure 1. Figure 1. The a-k outcomes are mapped to individual coursesAn instructor is required to prepare assignments directed to measure the designated outcome(s)for the course. At the end of a semester, the same instructor is required to prepare a coursebinder which may be
inthe Spring of 2010. Both graduate and undergraduate students, faculty, private consultants, andpublic servants are provided with the opportunity to learn from each other during this weeklyone-hour seminar. The establishment and overview of the seminar series are discussed along with thedevelopment of guidelines for student attendance. Involvement of faculty, students, andprofessionals was evaluated. Attendance at each seminar is a function of topic(s), presenter(s),and time commitment conflict (schedule conflicts with other classes or faculty sabbatical).Based on data from the Spring 2010 and Fall 2010 semesters, faculty attended 41 percent of theseminars, and students attended 43 percent of the seminars. When absences forclass
Fellowship, she is teaching material and energy balances to 2nd year students under the supervision of Dr. Suzanne Kresta. Page 22.286.1 c American Society for Engineering Education, 2011 Bi-modal No More: Shifting the Curve in Material and Energy Balances Courses In the early 1990’s, common wisdom stated that a bi-modal distribution in process analysisis “normal”, with a significant number of students needing to take the course twice before they“get” the material. As class sizes in second year chemical engineering at the University ofAlberta grew to over 100