. R. Mungkung, J. Aubin, T. H. Prihad, J. Slembrouck, H. M. G. vanderWerf and M. Legendre, "Life Cycle Assessment for environmentally sustainable aquaculture management: a case study of combined aquaculture systems for carp and tilapia," Journal of Cleaner Production, vol. 57, pp. 249-256, 2013.5. J. Cai, X. Zhou, X. Yan, D. Lucentea and C. Laganaa, "Top 10 species groups in global aquaculture 2017," 2017. [Online]. Available: http://www.fao.org/3/ca5224en/ca5224en.pdf. [Accessed October 2020].6. J. M. Gonzales and P. B. Brown, "Nile tilapia Oreochromis niloticus as a food source in advanced life support systems: Initial considerations," Advances in Space Research, vol. 38, no. 6, pp. 1132-1137, 2006.7. F. Wild
/second-year introduction to engineering design andmanufacturing (course A), a second-year course focused on experimental practice and fielddeployments (course C) and a capstone project, during which third and fourth year students workfor an industrial client (Capstone). All students, regardless of major, also take a second-yearsystems engineering course taught using a combination of small, active-learning classroomsessions and partner-based laboratories (course B). A small number of students perform researchwith faculty members (Research), which is often conducted in groups. These details aresummarized for each course in Table 1.3.2 RecruitmentThe interview subjects were recruited from course A and Capstone. Subjects were recruited
Paper ID #32175Effect of Pedagogy Differences for Vocational Education Graduatestransitioning to Higher Education Bachelor Degrees.Mr. Luke Alao P.E., Swinburne University of Technology Engineering Education Researcher since 2013. I am a PhD student at Swinburne University of Education and a Lecturer My research interest is focused on THE LIVED EXPERIENCES OF ENGINEERING STUDENTS IN THEIR ACADEMIC TRANSITION FROM VOCATIONAL TO HIGHER EDUCATION: A NARRATIVE INQUIRY AND USING SCHLOSS- BERG’S TRANSITION THEORY. American c Society for Engineering Education, 2021 Effect of
. Office Field-Study,” Water, Air, and Soil Pollution, vol. 175, no. 1-4, pp. 163–180, Jul. 2006.[5] H. F. Guite, C. Clark, and G. Ackrill, “The impact of the physical and urban environment on mental well-being,” Public Health, vol. 120, no. 12, pp. 1117–1126, Dec. 2006.[6] A. Fasino, B. Jarrett, J. Petersen, J. Rodgers. Building Sustainability and Humanitarian Research. Unpublished Research.[7] D. A. Rakow and G. Eells, Nature Rx: Improving College-Student Mental Health. Ithaca, NY, USA: Cornell University Press, 2019. doi:10.7591/j.ctvfc544p.[8] B. Chignell, “Seven benefits of having plants in your office,” CIPHR, Feb. 19, 2018. https://www.ciphr.com/advice/plants-in-the-office/.[9] Wescover, “Plants &
1: Conventional grade mapping letter grades to numerical grades. A A- B+ B B- C+ C C- D+ D F 4.00 3.67 3.33 3.00 2.67 2.33 2.00 1.67 1.33 1.00 0Then, the DiD test statistic β is the difference 𝛽 = 𝐺 − 𝐺 (1)The idea is that 𝐺 represents the gain the treated course would have seen had it not been flipped andaccounts for the variability of student performance that occurs by chance. This concept—the “paralleltrend assumption”—and how it can project the performance had treatment not taken place is illustratedin Figure 1 and is key to DiD analysis. Thus, the difference in
measures for assessing systems thinking interventions,” University of Nevada, Las Vegas, 2007.[3] L. Sweeney and J. Sterman, “Bathtub dynamics: initial results of a systems thinking inventory,” Syst. Dyn. Rev., 2001.[4] M. D. Lammi, “CHARACTERIZING HIGH SCHOOL STUDENTS‟ SYSTEMS THINKING IN ENGINEERING DESIGN THROUGH THE FUNCTION-BEHAVIOR-STRUCTURE,” Utah State University, 2011.[5] R. Lavi, Y. J. Dori, N. Wengrowicz, and D. Dori, “Model-Based Systems Thinking: Assessing Engineering Student Teams,” IEEE Trans. Educ., vol. 63, no. 1, pp. 39–47, 2020.[6] F. Marton, Necessary conditions of learning, 1st ed. New York, New York, USA: Routledge, 2014.[7] J. R. Grohs, G. R. Kirk, M. M. Soledad, and D. B
1 performance and enjoyed the lab activity, this is mainly 5 due to the guidance or help provided by the teaching assistants. Although the lab objectives were 6 met, the students lose the opportunity of being involved in collaborative exercises and may start 7 to develop negative feeling about collaborative teamwork. (a) Feedback of in-person students working in Lab 1 (b) Feedback of in-person students working in Lab 3 Figure 9. Direct comparison between in-person feedback of Lab 1 and Lab 3. 8 As for the remote students, none of them strongly felt distant from team members or cannot trust 9 the team members (Figure 10) in Lab 3. Also, more remote students were willing to interact with10 the team members in
irregular shaped river. The surveyor measured the right-angle offsets(h0, h1, h2, et.) to a nearby road and the offset distances (a, b, c, etc.) along the road. Compute thetotal area.Figure 2. Problem 2: Area estimation of parcels. Problem based on Ghilani and Wolf [18] • Discuss: Instructor information to students: The instructor would pause and discuss how surveyors are being hired to locate and establish property boundaries, and how using measurements taken from modern instruments they can locate their coordinates and estimate the area of land parcels. 1 1 Solve: Area = 2 [a(h0 + h1 ) + b(h1 + h2 ) + c(h2 + h3 ) + ⋯ ] = 2 [60(7.2 + 11.9) + 80
the semester, equipment limitationsunfortunately made this unavoidable at times, but this was minimized as much as possible in theplanning and structure of in-person lab work.I implemented a rotational schedule (Figure 1) that allowed strategic placement of in-personactivities (“in lab” or “in classroom”), that would take place in the limited laboratory space, inconjunction with supplemental activities that could be conducted independently and/orasynchronously by students virtually (“virtual”) or in the field (“in field”). Lab Group A Lab Group B Lab Group C Week 1 NO LABS THIS WEEK
science and engineering wasassessed. All students were pursuing their bachelor's degrees at the University of Washington.SettingStudent learning was assessed with respect to a single laboratory assignment that was the first ina series of laboratory assignments in the digital design course. The assignment required studentsto design a digital system that simulated the mechanism of cars entering and exiting a parking lotwith two sensors (a and b) monitoring the cars activities (Figure 2). Students were asked toupdate a counter that increments as cars enter the lot and decrements as cars exit the parking lotassuming a maximum capacity of 25 cars. Figure 2. Parking Garage Laboratory AssignmentTo implement the system illustrated in
parameters. When designing a BMS,design considerations must be made for cell balancing. Cell balancing is the process ofequalizing charge across all cells within a battery bank, either through dissipation as heat orthrough the transfer of energy from high power cells to low power cells. To better understand themechanics of cell balancing, the design team reviewed the research of B. Yildirim et al. found inreference [3]. This article covers three methods of cell equalization in battery energy storagesystems (BESS). Cell balancing is an integral component to maintaining SOH. While cells of thesame voltage may be used in a system, “manufacturing and thermal variations, differences ininternal impedances, and self-discharging rates” will cause variation
Paper ID #34184Course Strategy: Coupling Industry-centered Analyses and EngineeringDesign Principles to Develop Skills Relevant to Students’ CareersDr. James Burns, Western Michigan University Jim Burns, Ph.D. Assistant Professor Industrial and Entrepreneurial Engineering and Engineering Man- agement Department Bio: Jim Burns holds a Ph.D. in Industrial Engineering from Western Michigan University, and has more than 10 years industry experience in the manufacturing sector in a variety of roles including process engineering, operations management, and technical sales. His area of expertise centers on applying OR/MS and
. Stylus Publishing, LLC., 2017.[7] W. C. Newstetter, “Of Green Monkeys and Failed Affordances: A Case Study of a Mechanical Engineering Design Course,” Res. Eng. Des., vol. 10, no. 2, pp. 118–128, 1998.[8] D. Armel and S. A. Shrock, “The Effects of Required and Optional Computer-Based Note Taking on Achievement and Instructional Completion Time,” J. Educ. Comput. Res., 1996.[9] S. A. Lei, “Revisiting Extra Credit Assignments Perspectives of College Instructors,” J. Instr. Psychol., 2010.[10] T. Park, C. S. Woods, S. Hu, T. B. Jones, and D. Tandberg, “What Happens to Underprepared First-Time-in-College Students When Developmental Education is Optional? The Case of Developmental Math and Intermediate
Part II: Interfacing Analog Sensors to a TTL Logic Controller SUPPLIES: 1. Software: Multisim from National Instruments 2. Hardware: A kit is provided that includes the following items: a) 5V DC power supply with an adapter for easy connection to a solderless breadboard (1) b) Solderless breadboard (1) and wires c) LEDs: green (1) and red (1) with ¼ W 330 resistor (2) d) Switch bank of 2 or 4 SPDT switches (1) e) ICs, LS series i. Triple 3-input AND gate, 74LS11 (1) ii. Quad 2-input OR gate, 74LS32 (1) iii. Hex NOT gate, 74LS04 (1) f) Potentiometer 5 K or 10 K (2) g) Photo-resistor, 10 K (1) h) Temperature sensor, thermistor, 10 K (1) 3. Student
Paper ID #33532Understanding How Social Agents and Communicative Messages InfluenceFemale Students’ Engineering Career Interest From High School to FirstSemester of College (Fundamental)Ms. Yue Liu, Arizona State University Yue Liu is a Ph.D. student in the Engineering Education Systems and Design program within the Ira A. Fulton Schools of Engineering at Arizona State University.Dr. Dina Verd´ın, Arizona State University Dina Verd´ın, PhD is an Assistant Professor of Engineering in the Ira A. Fulton Schools of Engineer- ing at Arizona State University. She graduated from San Jos´e State University with a BS in Industrial
Frontiers in Education Conference (FIE), 1–7.Cruz, J. M., Artiles, M. S., Matusovich, H. M., Lee-Thomas, G., & Adams, S. G. (2019). Revising the Dissertation Institute: Contextual Factors Relevant to Transfer-ability. American Society for Engineering Education Annual Meeting, Tampa, Florida.Curtin, N., Stewart, A. J., & Ostrove, J. M. (2013). Fostering Academic Self-Concept: Advisor Support and Sense of Belonging Among International and Domestic Graduate Students. American Educational Research Journal, 50(1), 108–137. https://doi.org/10.3102/0002831212446662Devos, C., Boudrenghien, G., Van der Linden, N., Frenay, M., Azzi, A., Galand, B., & Klein, O. (2016). " Misfits between doctoral students and
design,” Front. Archit. Res., vol. 9, no. 2, pp. 287– 300, 2020.[7] R. Oxman, “Thinking difference: Theories and models of parametric design thinking,” Des. Stud., vol. 52, pp. 4–39, 2017.[8] A.-M. Greene, Melissa; Gonzalez, Richard; Papalambros, Panos; McGowan, “Design thinking vs. systems thinking for engineering design: What’s the difference?,” in 21st © American Society for Engineering Education, 2021 2021 ASEE Midwest Section Conference International Conference on Engineering Design, ICED17, 2017, p. 10.[9] B. Lucas, G. Claxton, and J. Hanson, “Thinking Like an Engineer: Implications for the education system.,” 2014.[10] V. J. Shute, C. Sun, and J
0.22 3 0.30 5 0.45 7 0.41 10 0.50 15 0.40 20 0.33(a) Evaluate M-M parameters using the Lineweaver-Burke, Eadie Hofstee, and Hanes-Wolfplots.(b) Based on what you have learnt about M-M kinetics, which data points will you omit? Canyou attribute this to any process that you have learnt in class?(c) Based on the observed reaction kinetics, what would be the merits of conducting the observedreaction in a chemostat versus a batch reactor? ResultsEnd of course surveys designed
0.22 3 0.30 5 0.45 7 0.41 10 0.50 15 0.40 20 0.33(a) Evaluate M-M parameters using the Lineweaver-Burke, Eadie Hofstee, and Hanes-Wolfplots.(b) Based on what you have learnt about M-M kinetics, which data points will you omit? Canyou attribute this to any process that you have learnt in class?(c) Based on the observed reaction kinetics, what would be the merits of conducting the observedreaction in a chemostat versus a batch reactor? ResultsEnd of course surveys designed
impact of a university makerspace,” International Journal of STEM Education, 8(1), 1-18, 202.[12] R. M. Carbonell, M. E. Andrews, A. Boklage, & M. Borrego, “Innovation, Design, and Self-Efficacy: The Impact of Makerspaces,” in ASEE Annual Conference & Exposition, Tampa, 2019, Florida. https://peer. asee. org/32965.[13 ] M. Wilson and B. Wilson, Teaching Children to Draw: A Guide for Teachers and Parents. Prentice Hall, Inc., 1982, pp. 64-67.
being adopted by teachers, the effect on teacher andstudent attitudes toward science, and how the activities are sustained over time. This researchwill help reveal the scope of LTW’s value and guide iterations of the online tools andcurriculum.On a more general level, I envision that LTW will contribute to a deeper integration of music inthe schools’ curriculum, for example by incorporating other subjects such as the creation ofelectronic music through computing, and the relations between music and data science, history,literature, foreign lenguages, and world-culture. 10References.[1] J. B. Brockman, D. C. Hall, S. P. Martin, and L. A. Phillips
the robot and the girls’ team in the regional competition. 6 Figure 7: a) ROV robot Girls in Engineering Granby HS built – funded by ONR MechTechproject; b) team competing at MATE ROV competition with Larson paid from ONR MechTech project; b) Jeffery Larson giving industry tour to Unilever Lipton plant in Suffolk to GranbyHigh School Girls in Engineering and our U.S. Department of Labor project with Norfolk Public SchoolsThe same student led his own veteran undergraduate students in the mechanical engineeringtechnology program. They designed, built, programmed, and tested their own underwaterautonomous robot with camera and light, which can be used to
price. The department bought the necessary number of DAQ boxes beforeclasses commence in the fall semester. Each student is required to buy the hardware for the classwith substantial discounts provided by the University. The sensors, actuators, and other requiredhardware is provided by the University for each student in class as required. In Fall 2020, duringthe pandemic, a local vendor was used to create a kit that was also bought by the students andwas subsequently used in Spring 2021. Appendix B lists the items that were included in this kit.Each class is broken down into two one-hour blocks. Depending on the topic most classes beginwith an introduction to a new topic in the first hour, followed by implementing LV and isgenerally then
[27], and mathematics notation [28] specific to each discipline studied. Chemistry,engineering, and physics textbooks were used to develop each prompt and the instructor of eachcourse verified the relevance and form of each prompt to their specific classroom environment.Each prompt provided a mathematical formulation of the first law in addition to descriptions ofprocesses involving a piston-cylinder system (Table 1). The choice of a piston-cylinder systemwas based upon the important role such model systems play in instruction across all threedisciplines. Students were tasked with determining how the internal energy of the systemchanged based upon selecting one of three multiple choice answers: (A) the internal energyincreases, (B) the
, assigned in the second week of the quarter, selected one of severaldesign challenges provided. The team project, structured around a series of communicationmilestones, culminated with a Final Design Showcase event. Multidisciplinary teams presentedtheir functional prototypes to university-affiliated guests (alumni, faculty, graduate students,university staff, etc.) and the showcase event in place of a final exam. Guest evaluators providedteams with feedback and score using rubric.Technology and Prototyping - In-person format: Students were provided with a library of electronic components which included microprocessors in various form factors (Arduino Uno, Arduino Nano, Arduino Lilypad) and the Raspberry Pi B+ microcomputer in
phase shift.Fig. 8 shows the reconstructed signals with the input signals at 19 Hz and 21 Hz, respectively.With the sampling frequency at 20 Hz, these two waveforms have the same frequency of 1 Hz.However, there is a 180 phase shift between these two reconstructed signals: v19 (t ) = −v21 (t ) . (a) (b) Fig. 8. Reconstructed signals with the input signals at (a) f = 19 Hz and (b) f = 21 Hz.DiscussionIn recent years, the sampling process was used for down conversion in direct sampling receivers[9, 10], which can replace the mixer in the traditional heterodyne demodulation scheme [11]. Inthe system diagram shown in Fig. 2, the pulse train generated for sampling can
nanoVNAs, each student now has full access totheir personal nanoVNA as well as shared access to the full-feature VNAs. Figure 9 illustratesan example experiment students perform with both their nanoVNAs and full-feature VNAs.The student is asked to design, test and measure an impedance matching circuit between anunknown load and a 50 ohm source. Students really enjoyed putting BNC connectors on RG-58coax using the stripping and crimping tools. Students also must compensate for the length of theBNC adapters when simulating their solutions.Figure 9: (a) Students are given the assignment to match an unknown load (Z-load) to a 50 ohmload using 50 ohm impedance coaxial cable. Keysight ADS or similar CAD programs are usedfor this simulation. (b
and a post-survey.A pre-survey occurs at the start of the class. It gives a baseline and normalizes pre-study biases.The post-survey measures how behaviors/attitudes change through the term. CON group wastreated to online videos, and authoritative traditional lectures. FC group was treated to onlinevideos, JiTT and peer-instruction. Surveys include quantitative (Likert) questions. Responses area 7-point scale [36]. Results are given in terms of mode and frequency. Results of Likert-stylequestions on student attitudes about lecture are given in Table 3-A on page 17. Students reportedon resource use in Table 3-B, and social integration in Table 3-C. Because the responses areordinal [37], [38], we are measuring differences in populations and
then find the area covered by each detected object [as shown Fig.1 (a), (b)], before applyingthe path planning algorithm.(a) Unknown Environment (b) Clustering (c) Path Planning (d) Waypoint Navigation Figure 1: Path planning of an autonomous mobile robot in an unknown environment.Option 2: Trajectory Generation of a 4-DOF SCARA RobotThis option is similar to Project 2 on Robotic Manipulators. Given a Selective Compliant Articulated Robotfor Assembly (SCARA) as shown in Fig. 2, the task is to perform trajectory generation of the robot’s end-effector in both the 3D space and the joint space for a given set of 3D “Via-points”. The project wasimplemented using Peter Corke’s MATLAB Robotic Toolbox [15]. As an
respond to an interactivepoll in real time using a learning management system (LMS) interface on their computer. The in-structor and the students receive poll results immediately after the poll closes, as shown in Figure1(b). The instructor may choose to continue the normal pace of the lecture if the poll results looksatisfactory or revisit the topic of the poll question if results are unsatisfactory.An orchestrated discussion (hand raise) activity also tests the students’ understanding of a recentlydiscussed topic. In response to a question displayed to the class, a student provides a responseusing their computer consisting of a few words or a short sentence. This format provides studentsopportunities to provide direct feedback to the instructor