lung with the model for an equivalent U-tube analogue. For aninfant, we assume the following parameters: cm3 Cinf = 2.5 cmH2 O cmH2 O Rinf = 0.040 cm3 / s cmH2 O . × 10−4 I inf = 14 cm3 / s 2We can replicate the first two parameters in the U-tube analogue by selecting the U
, Cambridge, MA, (1991).2. Ohlsson, S., “The Enaction of Thinking and Its Educational Implications,” Scandanavian Journal of EducationalResearch, Vol. 27, pp. 73-88, (1983).3. Fosnot, C. T., Enquiring Teachers, Enquiring Learners: A Constructionist Approach for Teaching, Teachers CollegePress, New York, (1989).4. Fogler, H. S. and S. E. LeBlanc, Strategies For Creative Problem Solving, Prentice Hall PTR, Upper Saddle River,NJ, (1995).5. Schulz, K. H. and D. K. Ludlow, “Incorporating Group Writing Instruction in Engineering Courses,” Journal ofEngineering Education, Vol. 85, No. 3, pp. 227-232, (1996).6. Hawkins, S., M. B. Coney, and K. E. Bystrom, “Incidental Writing in the Engineering Classroom,” Journal ofEngineering Education, Vol. 85, No. 1, pp
students can be asked to consider. These questions address the “How?” question in the Kolbcycle1. There are 16 possible combinations of switches, and therefore 16 possible equivalent resistances and corresponding current values. Can you list them? Page 2.65.3 Session 26592. Let us consider S1 , S 2 , S3 , S4 to be “1” when a switch is open and to be “0” when a switch is closed. For what combination of switch closures is the minimum value of Re (maximum current level) obtained? (When S1 , S 2 , S3 and S4 are closed (S1 = S2 = S3 = S4 = 0
Copyright 2002, American Society for Engineering Education” 2002-774Fourier analysis of voltage and current As stated earlier, the trigonometric Fourier analysis of a repetitive waveform can be obtainedusing equations 1 through 10. If we let v s ( t ) = 2v s sin( ωt ) be the input voltage for a typicalcircuit (see figure 1) the input current can be obtained as: i s (t ) = i s1 ( t ) + ∑h≠1 i sh (t ) 11Where:i s1 (t ) is the fundamental component (at line frequency f1 ).i sh (t ) is the component at the “h” harmonic frequency (fh ). D30 D31
. Michalsky, “Peer mentoring in mathematics: Effects on self- efficacy and achievement” Journal of Educational Psychology, 109(6), 767-778, 2017. Dual-Form Mentoring Model: Near-peer mentoring 4. C.M. Eddy & K.A. Hogan, “Peer mentoring in a university first-year science course: impact on academic performance and perceived experiences.” Journal of College Science Teaching, 49(2), 38-44, 2019. combined with reverse mentorship was employed. Near- 5. D. Yomtov, S. Plunkett, & R. Efrat “Can Peer Mentors Improve First-Year Experiences of University Students?” Journal
, he is collaborating in a research project of Open services integration for distributed, reusable and secure remote and virtual laboratories (s-Labs). Page 23.1274.1Prof. SANTIAGO MONTESO FERNANDEZ, UNEDMr. F´elix Garc´ıa Loro, Predoctoral fellow c American Society for Engineering Education, 2013 Paper ID #6854 Industrial Engineering degree from the Spanish University for Distance Education (UNED). Assistant teacher in Wind Energy Expert Course (Continuing Education, UNED). Managing AVIP
follow a similar set of rules.In general, any property that needs to be “accounted” for during a process would lend itself wellto be represented visually. A summary of such properties, their definition, and the courses thatthey are encountered in presented in Table 1. Before proceeding though, it is important toestablish the generalized accounting principle and define some nomenclature that will be usedthroughout the rest of this work.Table 1 Properties that can be accounted for, their definition, and course(s) in which they primar-ily appear — Ek , Ep , Usys , Eother are kinetic, potential, internal, and other sources of energy in thesystem; s is entropy per unit mass; T0 and P0 are the dead state (thermodynamic term) temperatureand pressure
, I think, because anybody can use the tool to give me a summary. I guess my view on that would be that maybe assessments can start looking at students' ability to critically analyze these summaries that GenAI tools provide, to reason about what is accurate, what is not accurate.’ (George)Our findings also aligned with Nikolic et al.'s (2023) suggestion for a shift in assessment fromonline to oral or in-person exams. A similar conclusion was reached by Qadir (2023), whobelieved a shift in assessment methods towards oral exams or individual projects could reducethe risks posed by GenAI, while the traditional way of assessment can be used as daily exercisewith less focus on the students’ final grades.Hillary proposed
that VR-based simulators were useful as a means of improving training in prostatepalpation through virtual prostate palpation simulator. Also, Singh et al. [18] study comparedthe effectiveness of VR videos to traditional 2D videos in fostering immersive experiencesfor interdisciplinary teams addressing clinical problems. Their study highlighted that VRenhanced collaboration and communication skills among participants, potentially extendingvirtual immersion to global clinical settings for broader student awareness in BME education.In addition, the study by Wilkerson et al.'s [19] explored the efficacy of VR videos inengaging students and improving their understanding in an undergraduate course. While thestudy revealed positive impacts on
" 18" A s= 1 .7 6 A s'= 0 .2 2 P (4 )-# 6 B a rs B o tto m , G ra d e 6 0 # 3 T ie s 26" 10" 1 5 '-6 " # 6 B a r: D ia m e te r= 0 .7 5 ", A re a = 0 .4 4 S q u a re In ch # 3 B a r: D ia m e te r= 0 .3 7 5 ", A re a = 0
different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between
Solar-Powered Game Camera Support Systems David C. Macke Jr, Adam Reab, Tyler Allen, Jeffery Keener, and Dr. Steve E. Watkins Electrical and Computer Engineering Missouri S&T Game cameras provide an automated capability for monitoring wild animals, remoteproperty, etc. Ideally, the camera can operate in all outdoor weather conditions and can operatefor many seasons independent of user input. The current market for game cameras is based onsimple motion sensors that take photographs whenever triggered. This method leads to a largepercentage of images being completely unrelated to what the camera operator wants tophotograph. These cameras are powered by batteries that limit operational
different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between
method, even if the answer was incorrect, which indicates a strongemphasis on students’ ability to grasp and apply concepts:“If you show me the process that youhave done, and you do the right process and doing the problem. I will give you 90% of the creditirregardless of if you get the right answer or not.” Additionally, ID1’s grading system wasflexible, allowing for student redemption. According to ID1, poor performance on an initial testcould be offset by improvement on subsequent assessments. This flexibility might encouragecontinuous learning, as students were not penalized heavily for early mistakes and instead aregiven the opportunity to demonstrate growth over the course of the semester: “I make the courseso that hey, you flunk the first
different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between
Baseline and Study Group. Summary and ConclusionsShort class interventions do not consume a lot of class time but their impact on student learningoutcome in the Materials and Manufacturing Selection in Design course were measured and showeda statistically significant improvement with more than 95% confidence. Students’ engagement with ahands-on experience helped students understand hard concepts of cold working, annealing,temperature, and time and their impact on the physical material behavior. References1. Balawi, S., and Pharr, M. (2024, March), Experiential Learning Utilizing Class and Lab Demos in a Material Science and Manufacturing Course Paper
being a potential transformative path to developing interest in engineering (S. Jordan& Lande, 2013) (Martin, 2015) as it provides for practical opportunities for the public to applyengineering principles in everyday life (Browder, Aldrich, & Bradley, 2017; Kohler, 2015),increases knowledge of production processes, and reduces the barriers of entry to markets(Hagel, Brown, & Kulasooriya, 2014).Making as a pedagogical approach provides unique opportunities for educators to incorporatepedagogies that places the student at the center of the learning process such as project and 2problem based learning (Vossoughi, Hooper, & Escudé, 2016
and developing arguments in writing. Thisstudy draws on experiences from changing a course previously relying onmandatory attendance towards challenging and encouraging the students‟contribution to each other‟s learning. Page 26.1586.21. Introduction: Tools For TransformationImagine coming into a classroom, an auditorium housing 150 students. After settingup your computer and PowerPoint-presentation, the bustle quiets down and you beginby welcoming the crowd to your country and university. Though they come from allover the world,from different societies, cultures and schooling, thestudents have twothings in common: all of them are engineering students, and; none of
are truly underrepresented, what efforts are being made to correct the phenomenon? Dowomen in science and engineering reach the top in their fields? If not, why? For the purpose ofthis paper, women in academia and in the industry will be the focus.I. IntroductionThe statistics of education show that women outnumber men in college enrollment. Womenrepresents sixty percent of the undergraduate population and in 2001-2002, women earned moredoctorates in the United States than men. However, women are underrepresented in science andengineering (S&E) fields. Science and engineering education in the United States has a genderedhistory. In a study for the National Science Foundation, Jon Miller1found that while 9 percent ofadult men are
become important [31], the flagella bundles (FB) (about 12 – 20 nm in diameter)because of the limitations such as the scattering of the EUV of MTB (magnetotactic bacteria) are able to produce a torque(Extreme Ultra-violet) light resulting in precision issues, need of approximately 4pN thereby displacing the cell giving it speeds ranging from 30 to 200μm/s depending on type of species and the number of magnetosomes. Our preliminary results indicate that AMB-1
Paper ID #38028Board 145: Possible Relations between Self-Efficacy, SociodemographicCharacteristics, Dropout and Performance of Freshman Students inEngineering CoursesDr. Cristiane Maria Barra Da Matta, Instituto Mau´a de Tecnologia Master’s degree in Food Engineering at the Instituto Mau´a de Tecnologia and PhD in Psychology at the Universidade Metodista de S˜ao Paulo (2019). Assistant professor and coordinator of the Student Support Program (since 2007) at Instituto Mau´a de Tecnologia. It investigates themes of School and Educational Psychology: academic experiences, self-efficacy, school performance and dropout in
modern challenges.References[1] K. Johnson, J. Leydens, B. Moskal, and S. Kianbakht, “Gear switching: From ‘technical vs. social’ to ‘sociotechnical’ in an introductory control systems course,” in 2016 American Control Conference (ACC), 2016, pp. 6640–6645.[2] K. Johnson et al., “The Development of Sociotechnical Thinking in Engineering Undergraduates,” in 2022 ASEE Annual Conference & Exposition, 2022.[3] B. Friedman and D. G. Hendry, Value sensitive design: Shaping technology with moral imagination. MIT Press, 2019.[4] S. Costanza-Chock, Design justice: Community-led practices to build the worlds we need. The MIT Press, 2020
andaffirming for students with underrepresented identities who struggle to develop a sense ofbelonging to STEM. Taken together, near-peer mentoring could be a great approach toenhancing the education of undergraduate students in engineering.Future WorkFuture work will involve continuing the current work of near-peer mentors. Additional data frommore near-peers mentors will be collected and analyzed to develop significant findings on thebenefits of near-peer mentoring. Future studies will continue to investigate possibledisadvantages of mentoring and understand the typical qualities of mentors that make a goodmentor.References[1] C. Bulte, A. Betts, K. Garner, and S. Durning, “Student teaching: views of student near-peer teachers and learners
-9830.1998.tb00381.x.[4] C. M. Vogt, “Faculty as a Critical Juncture in Student Retention and Performance in Engineering Programs,” J. Eng. Educ., vol. 97, no. 1, pp. 27–36, Jan. 2008, doi: 10.1002/j.2168-9830.2008.tb00951.x.[5] X. Wang, “Why Students Choose STEM Majors,” Am. Educ. Res. J., vol. 50, no. 5, pp. 1081–1121, Oct. 2013, doi: 10.3102/0002831213488622.[6] N. F. Harun, K. M. Yusof, M. Z. Jamaludin, and S. A. H. S. Hassan, “Motivation in Problem-based Learning Implementation,” Procedia - Soc. Behav. Sci., vol. 56, pp. 233– 242, Oct. 2012, doi: 10.1016/j.sbspro.2012.09.650.[7] S. M. Malcom, “The Human Face of Engineering,” J. Eng. Educ., vol. 97, no. 3, pp. 237– 238, Jul. 2008, doi: 10.1002/j.2168
selection that utilized a measurement of a student’s adult mentor supportnetwork, reasoning that if the student had adequate circle of adult backers, then they were morethan likely to persevere and successfully complete higher education. The researchers earned an NSF S-STEM grant in 2016 to study the effects of mentornetwork connectedness on collegiate STEM field persistence. Students from low SESbackgrounds who had expressed an interest in STEM majors and were given admission intoexploratory studies were selected as the target pool of participants. These students have becomeknown colloquially as ‘Rising Scholars’ (RS) [7] [8]. Twenty-one admitted students wereselected through a process designed to quantize and measure the quality of a
learning, due to the rapid convergence of extant computing, chemical, wireless, andimaging industries towards PIC-enabled new functionalities. This convergence mandates a rapidlearning of PIC functions and automation design, by engineers who historically have trained inadjacent disciplines. The constellation of VR and GBL designed sims are intended, via a MOOCinterface, to rapidly acclimate these more veteran learners from the incumbent workforce, andprepare them for taking advanced PIC circuit design courses[27], overseen by some of thecollaborators on an advanced manufacturing workforce training MOOC platform[11].References[1] R. Kirchain, E.A. Moore, F.R. Field, S. Saini and G. Westerman, Preparing the AdvancedManufacturing Workforce: A Study
. Age ID Gender Role/Length of Experience/Training Site Range A1 50’s Female Library Media Specialist/17 years/Library Science Site 1 50s Female Engineering Teacher/12 years/Electronics, System Site 1 E1 Engineering, Education 30s Male Math, Engineering, CS Teacher/13 years/Math, Site 1 E2 Teaching, CS 40’s Male Math Teacher/3 years/Linguistic, English and Site 1 E3 Math 30s Female Director of Workforce Development and Social Site 2 A2 Enterprise/11 years/Visual
- questionnaires.TABLE 1: Multiple–choice results collected from questionnaires given before theworkshop. The results indicate the percent value for each answer.1. A car is moving along a horizontal highway in astraight line at a constant rate of 25 m/s. Itsacceleration is 47 [A][A] 9.8 m/s2 0 [B][B] 9.8 m/s. 41 [C] – correct answer[C] zero. 12 [D][D] 25 m/s.2. A ball is thrown straight upward. What is theacceleration of the ball at the highest point?[A] zero 53 [A][B] 9.8 m/s2 , upward 12 [B][C] 9.8 m/s2, downward
-basedapplication. Using Clearsighted, Inc.’s tools, an ITS was constructed that required nomodification to the original authoring tool. The resulting ITS provides immediate feedback in atutorial setting, offering help when requested and adaptive just-in-time messages, as well asnoting incorrect actions. All of this feedback, from the user’s point of view, seemingly comesfrom the authoring tool. A series of tutorials have been developed that will provide guidance tonew users as they develop online homework assignments. Evaluation of the system is done bycomparing authoring tasks performed by groups who learned to author without using theintegrated system to groups performing the same tasks with the ITS.IntroductionMost activities related to engineering