Conference Session

Student Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Abigail Clark, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Student

. . [5] Tai, R. H., Liu, C. Q., Maltese, A. V, & Fan, X. (2006). CAREER CHOICE: Enhanced: Planning Early for Careers in Science. Science, 312(5777), 1143–1144. https://doi.org/10.1126/science.1128690 eed.osu.edu

Conference Session

First-Year Programs: Focusing on Student Success

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nisha Abraham, University of Texas, Austin; Nina Kamath Telang, University of Texas, Austin

Tagged Divisions

First-Year Programs

support model [1]. TheSupplemental Instruction (SI) program provides optional, non-remedial sessions designed todeliver content review and additional practice opportunities while developing transferable studyeffectiveness skills to benefit the student in all coursework at the institution.Results from other studies have revealed that regular session attendance positively impactedexam scores, overall course grades and DFWQ% (Ds, Fs, Q-drops, Withdraws) rates, and thatparticipants had an overall favorable perception of the SI program [1]-[5]. Some works havesought to determine factors that affect attendance in SI sessions, by using qualitative data onstudents attitudes to predict behaviors of attendance [6], [7]. This work in particular found

Conference Session

Mechanical Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Maher Shehadi, Purdue Polytechnic Institute

Tagged Divisions

Mechanical Engineering

 or ft)          (1) where f is the friction loss coefficient, L is the length of the pipe (m or  ft), V is the velocity (m/s or ft2/s) and g is the gravitational acceleration (m/s2 or ft/s2). The velocity of water inside any section can be determined using continuity equation:  Q = A.V             (2) where Q is the volumetric flow rate in (gpm, lit/min, m3/s, or in3/min, or any units based on your system calculations) and A is the cross‐sectional of the pipe (Make sure you use consistent units for A and V to have the proper units for Q). The state of the flow is determined based on Reynold’s Number  NR = V.D/𝜈              (3

Conference Session

A Technology Potpourri II

Collection

2019 ASEE Annual Conference & Exposition

Authors

Robert A. Chin, East Carolina University; Ranjeet Agarwala, East Carolina University

Tagged Divisions

Engineering Technology

Technology. [Online]. Available: https://www.engtech.org/docs/jet/Editorial-Policy.pdf [Accessed: Jan. 21, 2019].[3] Ian Rogers, The Google Pagerank Algorithm and How It Works [Online] http://www.cs.princeton.edu/~chazelle/courses/BIB/pagerank.htm [Accessed: Jan. 31, 2019].[4] Scimago Journal & Country Rank, Journal of Engineering Technology [Online] https://www.scimagojr.com/journalsearch.php?q=12487&tip=sid&clean=0 [Accessed: Jan 21, 2019][5] Scimago Journal & Country Rank, Engineering, Engineering (miscellaneous), United States, Journals, 2017. [Online]. Available: https://www.scimagojr.com/journalrank.php?category=2201&country=US&type=j&page=2 &total_size=115 [Accessed: Jan. 12, 2019].[6

Conference Session

Mathematics Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Cathy Poliak, University of Houston

Tagged Topics

Diversity

Tagged Divisions

Mathematics

= 0.00245). Figure 2: Q-Q Plot ExampleR syntax: coffee=c(9.9, 9.7, 10.0, 10.1, 9.9, 9.6, 9.8, 9.8, 10.0, 9.5, 9.7, 10.1, 9.9, 9.6, 10.2, 9.8, 10.0, 9.9, 9.5, 9.9) qqnorm(coffee) qqline(coffee) t.test(coffee,mu=10)Example 2:A study was conducted to examine the effect of pets in stressful situations. Subjects wererandomly assigned to each of three groups to do a stressful task alone (the control group), with agood friend present, or with their dog present. The subject’s mean heart rate (in beats perminutes) during the task is one measure of the effect of stress. The data has the mean heart ratesduring stress with a pet (P), with a friend (F) and for the control group (C).Result: The

Conference Session

Engineering Physics and Physics Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kanti Prasad, University of Massachusetts, Lowell

Tagged Divisions

Engineering Physics and Physics

the frequencies and becomes an inductor in anarrowband near acoustic resonance. The area of the resonator electrodesdetermines the capacitor Co, the thickness of the Piezoelectric filmdetermines the frequency expressed in BVD as LC resonance, whereCm = 4 Co Kt2 / 𝜋2Lm = 1 / 𝜔 2 CMRm = 𝜔 Lm / QWhere Cm, is the motional Capacitance that represents the elasticity of theresonator, Lm is the motional Inductance that represents the mass, Rm is theacoustic energy loss and Co is the clamped capacitance between the twoelectrodes of the resonator. The electro mechanical coupling coefficient (Kt)and quality factor (Q), can be given asKt = (𝜋2 /4) ((fP - fS) / fP )Q = 2  𝜋 fS L / Rwhere fs is the resonance frequency and fp is the anti resonance

Conference Session

Faculty Development Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jianyu Jane Dong, California State University, Los Angeles; Emily L. Allen, California State University, Los Angeles

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Constituent Committee

faculty surveyed, tenure-track faculty showed a higher level of engagement (45%) thantheir tenured colleagues as well as the adjunct faculty, where about 32% of either group areengaged. While a number of factors affected the faculty’s perception towards engagement in theworkplace such as job security, workload and compensation, a major reason for the difference inthe engagement between tenure-track faculty and the others is the institution’s effort in mentoringand providing professional development. Clearly, the Inside Higher Ed Survey results indicatedsignificant needs for higher education institutions to take steps to increase faculty engagement.However, published research work in this area has been quite limited. In [3], Kathryn Q

Conference Session

M3B: Learning in Context 2

Collection

2019 FYEE Conference

Authors

Haolin Zhu, Arizona State University; Alicia Baumann, Arizona State University; Gary Lichtenstein, Arizona State University

Tagged Topics

FYEE Conference - Paper Submission

proposition of a discovery j. Describes how a discovery could be scaled and/or sustained, using elements such as revenue streams, key partners, costs, and key resources k. Defines a market and market opportunities l. Engages in actions with the understanding that they have the potential to lead to both gains or losses m. Articulates the idea to diverse audiences n. Persuades why a discovery adds value from multiple perspectives (technological, societal, financial, environmental, etc.) o. Understands how elements of an ecosystem are connected p. Identifies and works with individuals with complementary skill sets, expertise, etc. q. Integrates/synthesizes different kinds of knowledge*Adapted from London et al., 2018, p. 7.To map these 17

Collection

2018 Gulf Southwest Section Conference

Authors

Young Lee; Jeong Yang

diagram canefficiently visualize the data flow along with control flow Referencesfor these types of overridden methods in the presence of [1] Scott F. Smith and Mark Thober, “Refactoringdynamic binding and polymorphism. Therefore, it is Programs to Secure Information Flows,” ACM SIGPLANanticipated that the diagram helps programmers perform Workshop on Programming Languages and Analysis forwith less difficulty and required effort in tracing the Security, (2006)sequence of calls and detecting data flow anomalies. [2] Offutt, J., Alexander, R., Wu, Y., Xiao, Q., Hutchinson,The arrows on figure 2 (a) show the overriding: h() and i() C., “A fault model

Conference Session

Creating Impactful Learning Experiences for Engineering Leaders

Collection

2019 ASEE Annual Conference & Exposition

Authors

Meg Handley, Pennsylvania State University, University Park; Dena Lang, Pennsylvania State University, University Park; Andrew Michael Erdman, Pennsylvania State University, University Park; John Jongho Park, Pennsylvania State University, University Park

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development

warehouse employee performance: A dyadic perspective in the distribution industry,” Hum. Resour. Dev. Q., vol. 14, no. 4, pp. 435–458, 2003.[12] A. D. Ellinger, A. E. Ellinger, D. G. Bachrach, Y. L. Wang, and A. B. E. Baş, “Organizational investments in social capital, managerial coaching, and employee work- related performance,” Manag. Learn., vol. 42, no. 1, pp. 67–85, 2011.[13] P. King and J. Eaton, “Coaching for results,” Ind. Commer. Train., vol. 31, no. 4, pp. 145– 151, 1999.[14] R. D. Evered and J. . Selman, “Coaching and the art of management,” Organ. Dyn., vol. 18, pp. 16–32, 1989.[15] F. F. Fournies, Coaching for improved work performance. Kansas City, MO: Liberty Hall Press, 1987.[16] R

Conference Session

SED Technical Session: Systems Thinking

Collection

2019 ASEE Annual Conference & Exposition

Authors

Raed Jaradat, Mississippi State University; Michael Andre Hamilton, Mississippi State University; Vidanelage Lakshika Dayarathna, Mississippi State University; Sofia Karam, Mississippi State University; Parker Jones, Mississippi State University; Emily S. Wall , Mississippi State University; Safae El Amrani; Ginnie Shih En Hsu, Mississippi State University

Tagged Divisions

Systems Engineering

(Instrument and VR)To check whether a significant difference between score means, a paired samples t-test wasperformed. To test the normality assumption, Shapiro-Wilk normality test was conducted on thescore differences for the matched-pairs along with the test statistic and p-value found to be, W =0.925 and p = .121 respectively. Figure 11 displays the Q-Q plot for the score differences. Bothtest and plot suggested that the distribution of data was not significantly different from the normaldistribution. Figure 11: Normal Q-Q Plot of DifferenceThe result of paired samples t-test confirmed that there was no significant difference betweenstudents’ score via the ST skills instrument and students’ score via VR complex system

Conference Session

Teaching and Assessment in Chemical Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Margot A Vigeant, Bucknell University; Jennifer Cole, Northwestern University; Kevin D. Dahm, Rowan University; Laura P. Ford, University of Tulsa; Lucas James Landherr, Northeastern University; David L. Silverstein P.E., University of Kentucky; Christy Wheeler West, University of South Alabama

Tagged Divisions

Chemical Engineering

nature. While we will ask about the presence of the other courses in yourcurriculum, our topical questions are​primarily focused on courses of this type.Q1.15 Of the ​${Q1.11/ChoiceGroup/SelectedChoices}​ "Physical Chemistry orThermodynamics" courses that you indicated your students take above, how many are"Thermodynamics" courses (either General or Chemical Engineering), by the above definitions?▼ 0 ... 5 or moreDisplay This Question: If Of the ${q://QID70/ChoiceGroup/SelectedChoices} "Physical Chemistry orThermodynamics" courses th... != 0Q1.16 You indicated that students take at least one Thermodynamics course. In the standardcourse sequence, when do students typically take the first/only Thermodynamics course?o​1st semester / quarter 1st

Collection

2019 CIEC

Authors

Maher Shehadi

pipe axis (assuming x-axis is in the longitudinaldirection of the pipe) were estimated using equation (1) 𝑞" 𝑃 𝑇𝑚 (𝑥) = 𝑇𝑚,𝑖 + 𝑥 (1) [8] 𝑚̇𝐶𝑝where Tm is the mean temperature in ˚F, x is the longitudinal distance in the axial direction of thepipe in ft, Tm,i is the mean inlet water temperature in ˚F, q” is the heat flux in Btu/(hr.ft2), P is thepipe perimeter in ft, 𝑚̇ is the water mass flow rate in lbm/hr and Cp is the water specific heat inBtu/(lb.˚F).For finned pipes, the Nusselt number “Nu” is needed to estimate the heat transfer coefficient “h”of water

Collection

2019 Fall Mid Atlantic States Conference

Authors

Basak Taylan, Graduate Center of City University of New York; Ashwin Satyanarayana, New York City College of Technology; Sawdiatou Samb, New York City College of Technology

labels by our tool. Sentencesare labelled 0, if they are grammatically incorrect or they are labelled 1, if they are grammaticallycorrect. In the 10 sentences shown, 8 of them are labeled correctly by our tool.To measure the effectiveness of our tool, we conducted a survey and we asked students’ opinionon the following three statements (with I agree, I disagree and Not Sure choices):Q-1 A tool which identifies grammatically incorrect sentences helps you in improving your writingskills.Q-2 The tool should fix my sentences automatically.Q-3 If the tool corrects my sentence automatically, then that will not help me learn grammar andimprove my writing skills.Figure 5 shows the survey results. 75.4% of the students think that our tool would help

Conference Session

Experimentation and Laboratory-Oriented Studies Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Harold R. Underwood, Messiah College

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

... 13 7. Other comments or suggestions I have are… 8The open-ended survey questions in Table 4 elicited a wide variety of responses from the 14students in this Fall 2018 EMAG class. Their most common responses to Q#4 was a suggestionalong the lines of “providing more guidance on the creativity to be put into the alternativedesign” (6) or a “less complicated circuit” (2). Seven other suggestions were made by onestudent each. The most frequent responses to Q#5 were related to “how a metal detector works”(3) or “understanding the Arduino and/or its language” (2) or “how metal and permeability affectinductance” (2). Sixteen other comments were made by one student each. In response to Q#6,several students

Conference Session

Multidisciplinary Engineering Programs

Collection

2019 ASEE Annual Conference & Exposition

Authors

Elizabeth Pluskwik, Minnesota State University, Mankato

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

hours each, over the course ofhalf a semester. Prior to Spring, 2019, LCs occurred twice a week for an hour each. The changeto two-hour LCs is expected to be more effective by allowing more time for learning activities,field trips, etc. LCs are generally flipped classroom style and are generally interactive, rather thanlecture-based. For each hour in a learning conversation, students generally spend two additionalhours outside of the meeting. By the end of a semester, students will have spent 40 hours on thecompetency, which is the requirement to earn one technical credit. Teachers scaffold the students’self-directed learning. A basic outline of a learning conversation is 10 minutes of Q & A, 60minutes of learning or retention activities

Conference Session

Issues in Mechanical Engineering Technology I

Collection

2019 ASEE Annual Conference & Exposition

Authors

Carmen Cioc, University of Toledo; Qiuying Zhao, University of Toledo; Sorin Cioc, University of Toledo

Tagged Divisions

Engineering Technology

hands-onopportunity for the students to better understand the forces exerted on surfaces by moving flowsusing the momentum theory.This current work presents the laboratory setup and the implementations of the two laboratoryexercises, the designed Q&As, as well as the students’ performance before and after theintroduction of the two laboratory exercises.1. PhET Buoyancy Online Simulation Laboratory ExerciseAn object is subject to the buoyant force whenever it is floating on or is completely submerged inthe fluid. Buoyancy is the tendency of a stationary fluid to exert a supporting force on a bodyplaced in the fluid [2]. Based on the authors’ teaching experiences, many MET students havedifficulties to solve buoyancy related problems

Conference Session

ConstDiv Technical Session 7 - Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Michael Shenoda, Farmingdale State College

Tagged Divisions

Construction Engineering

outlined in Table 3. A baseline is necessary for comparison of responsesto these survey questions from a non-OER offering of the course. This will be done once peracademic year, either from a non-OER section of the course at the same institution or a non-OERoffering of the same (or similar) course from a nearby institution.Table 4. Survey questions for evaluation of impacts of OER implementation. Q# Question Choices 1 In general, how often do you purchase  Never (1) the required texts for the courses you  Rarely (2) take?  About Half the Time (3)  Often (4

Conference Session

ECE Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Bhanu Babaiahgari, University of Colorado, Denver; Jae-do Park, University of Colorado Denver

Tagged Divisions

Electrical and Computer

{ /∗ Sample t i m e : [ 0 . 0 0 0 1 s , 0 . 0 s ] ∗/48 rate monotonic scheduler () ;49 }5051 /∗ S−F u n c t i o n ( c 2 8 0 x g p i o d o ) : ’/ D i g i t a l Output ’ i n c o r p o r a t e s :52 ∗ C o n s t a n t : ’/C o n s t a n t ’53 ∗/54 {55 i f ( V F Closed loop Experiment P . Constant Value )56 GpioDataRegs . GPASET . b i t . GPIO7 = 1 ;57 else58 GpioDataRegs . GPACLEAR . b i t . GPIO7 = 1 ;59 }6061 /∗ S−F u n c t i o n ( c 2 8 0 x q e p ) : ’/eQEP ’ ∗/62 {63 V F C l o s e d l o o p E x p e r i m e n t B . eQEP = EQep1Regs . QPOSCNT; /∗eQEP P o s i t i o n C o u n t e r ∗/64 }65 }6667 /∗ Model s t e p f u n c t i o n f o r TID1 ∗/68 v o i d V F C l o s e d l o o

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Peter Bermel, Purdue University-Main Campus, West Lafayette (College of Engineering); Hillary E. Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

.[11] R. Deng, P. Benckendorff, and D. Gannaway, “Progress and new directions for teaching and learning in MOOCs,” Computers & Education, vol. 129, pp. 48-60, 2019.[12] Q. Li, Q and R. Baker, “The different relationships between engagement and outcomes across participant subgroups in Massive Open Online Courses,” Computers & Education, vol. 127, pp. 41-65, 2018.[13] C. C. Gray and G. Perkins, “Utilizing early engagement and machine learning to predict student outcomes,” Computers & Education, vol. 131, pp. 22-32, 2019.[14] H. Qu and Q. Chen, “Visual analytics for MOOC data,” IEEE Computer Graphics and Applications, vol. 6, pp. 69-75, 2015.[15] A. F. Wise, “Designing pedagogical interventions to support student

Conference Session

PSW Section Meeting Papers - Disregard start and end time - for online paper access only

Collection

2019 Pacific Southwest Section Meeting

Authors

Adrian Bituin, ASPIRES Program: Canada College & San Francisco State University; Krystal Kyain, Skyline College; Yardley Ordonez, Chico State University; Alec William Maxwell, San Francisco State University; Wen Li Tang, San Francisco State University; Nicholas Langhoff, Skyline College; Wenshen Pong P.E., San Francisco State University; Cheng Chen, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Amelito G Enriquez, Canada College

Tagged Topics

Diversity, Pacific Southwest Section Meeting Paper Submissions

and ensure thatthey are moving along the right path toward a meaningful research project. Clearly identifiedexpectations and research outcomes are also crucial to engage students by providing themfeasible goals and allowing them to set daily and weekly tasks for the goals. Lastly, asengineering is practical science, a hands-on experiment is another engaging means to bringexcitement to participating students. For the future implementations, these approaches will beapplied and their effects on the program outcomes will be evaluated.AcknowledgementThe authors would like to thank the support from the U.S. Department of Education through MinorityScience and Engineering Improvement Program (Award – #P120A150014).References1. Xia, L., Xia, Q

Conference Session

PSW Section Meeting Papers - Disregard start and end time - for online paper access only

Collection

2019 Pacific Southwest Section Meeting

Authors

Michael Gee, Canada College; Anthony Akash Lal; Alex E Hercules; Tyler Sheaves, San Francisco State University; Amelito G Enriquez, Canada College; Cheng Chen, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Wenshen Pong P.E., San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University

Tagged Topics

Diversity, Pacific Southwest Section Meeting Paper Submissions

of identification numbers such as serial numbers, secret key, configuration bits, etc. A typical non-volatile latch must have the ability to be programmed to a binary state and retain this binary state even in the case of power down. The state of the latch can be queried by other components as long as system power is present. Looking at Figure 3, a basic latch can have control inputs for reading or sensing the stored data (‘SE’), a data input (‘D’) whose state is stored to the latch, and an output which presents its current binary state (referred to as ‘Q’). By storing the state of the latch in the anti-fuse element, that data is stored permanently in a non-volatile form. An additional programming control input write enable

Conference Session

Teaching and Assessment in Chemical Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Deborah S. Goldberg, University of Maryland, College Park; Jinwang Zou, University of Maryland, College Park; Ganesh Sriram, University of Maryland

Tagged Divisions

Chemical Engineering

. Sem + MEB MEB only Avg. Avg. Q# Question text p<0.05 p<0.05 Change Change I am confident I will obtain an undergraduate Q1 0.24 -0.68 * degree in engineering. I am confident I will obtain an undergraduate Q2 -0.16 -0.91 * degree in chemical engineering. Q3 I know what chemical engineering is. 1.36

Conference Session

Manufacturing Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Asghar Rezasoltani, Western Kentucky University

Tagged Divisions

Manufacturing

andsurface properties of new materials. A model consisting of several standard test methods waspresented in this paper. The equipment is used to perform the presented tests are the same as thatused for conventional materials and usually available in material science labs of universities.References[1] Y. Huang, M. C. Leu, J. Mazumder, and A. Donmez, "Additive manufacturing: current state, future potential, gaps and needs, and recommendations," Journal of Manufacturing Science and Engineering, vol. 137, no. 1, p. 014001, 2015.[2] S. Bland and N. T. Aboulkhair, "Reducing porosity in additive manufacturing," Metal Powder Report, vol. 70, no. 2, pp. 79-81, 2015.[3] J. R. C. Dizon, A. H. Espera Jr, Q. Chen, and R. C. Advincula

Conference Session

Biomedical Engineering Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Robert Gammon-Pitman, Ohio State University; Tanya M. Nocera Ph.D., Ohio State University

Tagged Divisions

Biomedical Engineering

Writing Exercises in Fluid Mechanics Textbooks. Proceedings of the ASEE Annual Conference & Exposition.4. Timmerman, B. E. C., Strickland, D. C., Johnson, R. L., & Payne, J. R. (2011). Development of a ‘universal’ rubric for assessing undergraduates’ scientific reasoning skills using scientific writing. Assessment & Evaluation in Higher Education, 36(5), 509–547.5. Gotch, C. M., Langfitt, Q., French, B. F., & Haselbach, L. (January 01, 2015). Determining Reliability of Scores from an Energy Literacy Rubric. Proceedings of the ASEE Annual Conference & Exposition.6. Gammon-Pitman, R. W., & Nocera, T. M. (June), Board 22: Work in Progress: Improving Biomedical Engineering Student Technical Writing through Rubrics

Conference Session

Biomedical Engineering Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jorge E. Bohorquez, University of Miami; Ramón Benjamin Montero, University of Miami

Tagged Divisions

Biomedical Engineering

project we wished to do or have been able to create something of our own instead of having to build a certain project based on the group we were in. • We were taught more about coding and arduino before the project. • the project allowed for more creativity and innovation • that we had more lessons about coding • There were more projects with building a device • that we were actually taught the material instead of having to google answers and help.References1. Yock, Paul G., Stefanos Zenios, Josh Makower, Todd J. Brinton, Uday N. Kumar, FT Jay Watkins, Lyn Denend, Thomas M. Krummel, and Christine Q. Kurihara. Biodesign: the process of innovating medical technologies. Cambridge University Press, 2015.2. Giacomin

Conference Session

M2B: Learning in teams

Collection

2019 FYEE Conference

Authors

Behzad Beigpourian, Purdue University; Matthew W. Ohland, Purdue University-Main Campus, West Lafayette (College of Engineering); Daniel M. Ferguson, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Topics

Diversity, FYEE Conference - Paper Submission

-Alampay, T. A. Beehr, N. D. Christiansen, and R. K. Van Horn, “Adjustment and strain among domestic and international student sojourners: A longitudinal study,” Sch. Psychol. Int., 2002.[13] M. S. Andrade, “International students in English-speaking universities,” J. Res. Int. Educ., vol. 5, no. 2, pp. 131–154, Aug. 2006.[14] R. A. Layton, M. L. Loughry, M. W. Ohland, and G. D. Ricco, “Design and validation of a web-based system for assigning members to teams using instructor-specified criteria,” Adv. Eng. Educ., vol. 2, no. 1, pp. 1–28, 2010.[15] A. Ednnondson, “Psychological safety and learning behavior in work teams,” Adm. Sci. Q., 1999.[16] W. A. Kahn and W. A. Kahn, “Psychological Conditions of Personal

Collection

2018 Gulf Southwest Section Conference

Authors

Nisha Abraham; Nina Telang

frequently referred 2015-2016 academic year.metrics for college success, the Supplemental Instruction Results from this study revealed that session attendance(SI) program aims to reduce D’s, F’s and Q drop rates in positively impacted exam scores and DFQW (Ds, Fs, Q-historically difficult classes. Although previous work done drops, Withdraws) rates, and that participants had anby this group revealed that attending SI sessions for a first- overall favorable perception of the SI program [3

Conference Session

Mechanical Engineering Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ming Z. Huang, University of San Diego; Elizabeth Reddy, Colorado School of Mines

Tagged Divisions

Mechanical Engineering

identify an opportunity application and to generate contents for poster • 3rd class – 1) team to set up poster (3 min), 2) team to view/study posters (8 min) (gallery walk), 3) presentation (3 min – one representative each team) with Q&A (3 min), 4) voting (2 min), 5) debriefing/reflection (*deliverable: poster) • Team to submit a tech brief (a week) (*deliverable: tech brief)Pilot Implementation AssessmentThe module was first implemented in Spring 2018 term in the Introduction to Robotics course.The class comprised 12 students (1 woman, 12 men), all juniors and seniors MEs. Overall, the3-stage deployment structure as well as in-class activities worked out as envisioned.To assess the efficacy of the module, the

Conference Session

A Technology Potpourri I

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jai P. Agrawal, Purdue University Northwest; Omer Farook, Purdue University Northwest

Tagged Divisions

Engineering Technology

leading or lagging power factor:______________________________________________________________________________E=phasor(100, 0); R=6 XL=7ZR=phasor(6, 0);ZL=phasor(7, 90); XC=15ZC=phasor(15, -90); 0 I E=100ZT=ZR+ZL+ZC; %total impedance phasorZT=add_graph(ZR, ZL, ZC, ZT)I=E/ZT;%calculate the current phasor using ohm’s lawphplot([ I, ZT]) Fig. 3 (a)% calculations of apparent power S,%reactive power Q, real power% P, and