Conference Session

First-Year Programs Division (FYP) - WIPS 1: Programs & Curricula

Collection

2023 ASEE Annual Conference & Exposition

Authors

John William Lynch, University of Cincinnati; Jutshi Agarwal, University of Cincinnati; P.K. Imbrie, University of Cincinnati

Tagged Divisions

First-Year Programs Division (FYP)

and examined Q-Q plots, so non-parametric tests for significant differencesbetween the sections were performed using Kruskal-Wallis to analyze for significant differencesbetween the medians of each section. Subsequently, a post-hoc Dunn’s test with Bonferronicorrections was conducted to analyze which sections were significantly different. The sample sizefor each of the sections were as follows: Section A had a sample size of 33 (n = 33), Section B had asample size of 38 (n = 38), and Section C had a sample size of 50 (n=50).Table 2. Descriptive statistics of student engagement scores (n = 121) Measurement Total Emotional Physical Cognitive Mean 67.61 23.13

Conference Session

Promoting Social Sustainability, Cultural Assets, and Assessing Equity and Diversity Index

Collection

2023 ASEE Annual Conference & Exposition

Authors

Collette Patricia Higgins; Emily Joanna Kamp; Kenneth Stewart; Azadeh Bolhari, P.E., University of Colorado, Boulder; Daniel Ivan Castaneda, James Madison University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

Exact Test is used with twonominal variables to find out if the proportions from one variable are different among values ofthe other [Bind & Rubin, 2020]. Due to the test's exact nature, it is more accurate than a Chi-SquareTest alone.Figure 1. Items A, G, and M relate to aspirational capital. Items B, H, and N relate to linguistic capital.Items C, I, and O relate to familial capital. Items D, J, and P relate to social capital. Items E, K, and Qrelate to navigational capital. Items F, L, and R relate to resistance capital. Additionally, Items A, B, C,D, E, and F relate to having or holding a CCW capital dimension. Items G, H, I, J, K, and L relate to adeveloping CCW capital dimension. Items M, N, O, P, Q, and R relate to not having a CCW

Conference Session

Pedagogy and Instructional Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Oluwafemi Johnson Ajeigbe, Washington State University; Prashanta Dutta, Washington State University; David B. Thiessen, Washington State University; Jacqueline Gartner Ph.D., Campbell University; Kitana Kaiphanliam, Washington State University; Olusola Adesope, Washington State University; Bernard J. Van Wie, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

was run to examine if LCDLMs offered differentialbenefits or effects based on the gender of participants. Four modes of engagement were assessed:Interactive, constructive, active, and passive scores. Participants were grouped by their gender:male and female. First, we checked preliminary assumptions, and results revealed that data wasnormally distributed, as assessed by inspecting the Normal Q-Q plots. There were no univariateand multivariate outliers, as assessed by boxplot; there were linear relationships, as evaluated byscatterplot, and no multicollinearity; and variance-covariance matrices were homogeneous, asassessed by Box’s test of equality of covariance matrices (p = 0.473); variances werehomogeneous, as assessed by Levene’s Test of

Collection

ASEE-NE 2022

Authors

Daisy Ren, University of Connecticut; Pierredens Fils, University of Connecticut; Shinae Jang P.E., University of Connecticut

season and structural components can expand and retract due totemperature fluctuations giving rise to various amounts of joint movements.REFERENCES[1] H. A. Pentas, R. R. Avent, V. K. Gopu, and K. J. Rebello, “Field Study of Longitudinal Movements in Composite Bridges,” Transportation Research Record, pp. 117–128, 1995.[2] B. J. Swanson, R. B. Malla, and M. T. Shaw, “Laboratory testing, Field Installation, and monitoring of a silicone foam sealant for bridge expansion joints,” Journal of Bridge Engineering, vol. 18, no. 8, pp. 758–767, 2013.[3] J. Marques Lima and J. de Brito, “Inspection survey of 150 expansion joints in road bridges,” Engineering Structures, vol. 31, no. 5, pp. 1077–1084, 2009.[4] Y. Q. Ni, X. G

Conference Session

NEE Technical Session - Innovative Teaching Strategies I

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mohamed Zaghloul; Amr Hassan, University of Pittsburgh; Ahmed Dallal, University of Pittsburgh

’ engagement have also been a popular subjectfor educational studies; only a few of which focused on sustaining students’ interactions in aremote learning environment [13].3. Online Teaching and Delivery Techniques3.1 Online Pedagogical TechniquesDifferent pedagogical methods exist in e-learning [14]. Traditional lecturing commonly offered inonline classes where an instructor introduces the students to the materials. While flipped pedagogyis one where the pre-recorded lectures and materials are viewed by the students before class, andkeeping the online class meeting for discussions, and Q&A [15]. In the latter, the studentsencounter the course’s materials for the first time before class, and come prepared to class, as amethod of active learning

Conference Session

First-Year Programs Division Technical Session 12: Work-in-Progress Postcard Session #1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Siwei He, University of Toronto; Hamid Timorabadi, University of Toronto; Afshin Poraria, University of Toronto

when the judger runs their solution against other students’solutions. The initial consideration on this part is to let students try to find the bug inside theircode based on the testing result. However, the survey shows that more details are needed to letthe students learn more from their submissions.Discussion Forum Statistics ResultThe Reversi project took place between late March 2021 and mid-April 2021. The number ofposts on the class online forum indicates a significantly increased activity during the time whenthe Reversi project was in progress. There were another two peaks in the chart, the one duringearly March is due to the online Q&A during the midterm test and the one during the end of Mayis due to the final exam Q&A. Other

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Laila Guessous, Oakland University; Dan DelVescovo, Oakland University; Darlene Groomes, Oakland University

Siteprogram under grant # EEC-1852112. It was previously funded in 2014-2018 under grant EEC-1359137, in 2010-2013 under grant EEC-1004915 and in 2006-2008 under grant EEC-0552737.References 1. About the AERIM REU program, retrieved from http://me-reu.secs.oakland.edu 2. Laila Guessous, “Long term assessment after more than a decade of involving undergraduate students in an REU program,” Paper # 22937, 2018 ASEE Annual Conference and Exposition, Salt Lake City, UT, June 2018 3. L. Guessous, Q. Zou, B. Sangeorzan, J.D. Schall, G. Barber, L. Yang, M. Latcha, A. Alkidas and X. Wang, "Engaging Underrepresented Undergraduates in Engineering through a Hands-on Automotive-themed REU Program," Paper # IMECE2013-62111, ASME 2013

Conference Session

ERM: Engineering Identity: (Identity Part 1)

Collection

2022 ASEE Annual Conference & Exposition

Authors

Leyi Chen; Jiabin Zhu; Chaoqun Zheng; Zhinan Zhang

Students Professional Identity during Workplace Learning in Industry: A Study in Dutch Bachelor Education,” Engineering Education, vol. 8, no. 1, pp. 42–64, 2013.[11] L. Fleming, K. Smith, D. Williams, and L. Bliss, “Engineering identity of Black and Hispanic undergraduates: The impact of Minority Serving Institutions,” in ASEE Annual Conference and Exposition, Conference Proceedings, Atlanta, 2013.[12] Q. Wang and B. Yao, “Research on the Status Quo and Group Characteristics of Middle School Students’ Science Identity,” Educational Measurement and Evaluation, no. 9, pp. 38–47, 2021.[13] R. N. Bonnette, K. Crowley, and C. D. Schunn, “Falling in love and staying in love with science: Ongoing informal science

Conference Session

ERM: Diversity, Equity, and Inclusion

Collection

2022 ASEE Annual Conference & Exposition

Authors

Blaine Pedersen, Texas A&M University; Karen Rambo-Hernandez, Texas A&M University

.Analysis of the Conditional Indirect EffectProducts of coefficients are usually positively skewed and kurtotic. For this reason,bootstrapping procedures were used to determine the 95% CI of indirect effects [24]. The 95%confidence interval for 𝜃 at each level of physical-outcomes was determined using a bias-corrected bootstrapping technique with 10,000 replicates.ResultsAssumptions and Parameter EstimationModels in the current study were estimated using ordinary least squares. All assumptions ofmultiple regression were determined to be tenable by analyzing residual-versus-predictor plots,density and Q-Q plots of residuals, and White’s test for heteroskedasticity—which was non-significant (χ2 [33] = 41.04, p = .16). Notably, although observations

Conference Session

ERM: Exploring Educational Technology in Engineering

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette (COE); Saira Anwar, Texas A&M University; Muhsin Menekse, Purdue University at West Lafayette (COE)

, we will ensure that each condition includes an almost equal number of students(N ≈ 100). This way, we will have students from each class equally dispersed to one of theconditions, further reducing the bias.Proposed AnalysisThis study will use multiple One-way ANOVAs to analyze the differences between differentgroups. Furthermore, the outcome variable for this analysis is the number of reflectionsubmissions (all reflections submitted by each student in a semester). Before running theANOVAs of analysis for each outcome measure, I will test the assumptions. The data mustsatisfy the following assumptions [24, p.265]: • Normality For testing the normality, we will use scatter plots (e.g., Q-Q normal plots) and descriptive

Conference Session

Remote and Flipped Instruction in Mechanics

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hayden Richards, United States Air Force Academy

University Students: theImpact of COVID-19,” Contributions of Psychology in the Context of the COVID-19 Pandemic,37, e200067.[3] Cellini, N., Canale, N., Mioni, G., & Costa, S. (2020), “Changes in Sleep Pattern, Sense ofTime, and Digital Media Use during COVID-19 Lockdown in Italy,” Journal of Sleep Research,29(4), e13074.[4] Zhou, J., & Zhang, Q. (2021), “A Survey Study on U.S. College Students’ LearningExperience in COVID-19,” Education Sciences, 2021, 11, 248.[5] Mendoza-Lizcano, S., Alvarado, W., & Delgado, B. (2020), “Influence of COVID-19Confinement on Physics Learning in Engineering and Science Students,” Proceedings of the IIIWorkshop on Modeling and Simulation for Science and Engineering, 1671 (2020) 012018.[6] Limniou, M

Conference Session

ECE Division Technical Session 1: Online or Remote Teaching and Curricular Developments

Collection

2022 ASEE Annual Conference & Exposition

Authors

Eleanor Leung, York College of Pennsylvania; James Kearns, York College of Pennsylvania

: Mar. 25, 2022].[5] Mechanical and Mechatronics Engineering: Future undergraduate students, ”What is Mechatronics Engineering?”, University of Waterloo. [Online]. Available: https://uwaterloo.ca/mechanical-mechatronics-engineering/undergraduate-students/future- students/what-is-mechatronics-engineering. [Accessed: Jan. 30, 2022].[6] J. G. Cherng, B. Q. Li and N. Natarajan, ”Development of a Senior Mechatronics Course for Mechanical Engineering Student”, Proceedings of ASEE Annual Conference and Exposition, 2013.[7] M. Tomovic, C. Tomovic, V. M. Jovanovic, C. Y. Lin, N. Yao and P. J. Katsioloudis, ”Integrative Experiences through Modeling and Simulation of Mechatronic Systems”, Proceedings of ASEE Annual Conference and

Conference Session

Engineering Ethics Division: Ethics Education Assessment

Collection

2022 ASEE Annual Conference & Exposition

Authors

Kingsley Reeves, University of South Florida; Michelle Hughes Miller, University of South Florida; Grisselle Centeno, Florida Polytechnic University; Elaine Englehardt, Utah Valley University; Michael Pritchard; Susan LeFrancois, Florida Polytechnic University; Ideliz Roman, University of South Florida

] Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701–721. https://doi.org/10.1037//0022-3514.79.5.701[11] Wang, Q., Song, Q., & Kim Koh, J. B. (2017). Culture, Memory, and Narrative Self- Making. Imagination, Cognition and Personality, 37(2), 199–223. https://doi.org/10.1177/0276236617733827[12] Raelin, J. A., Bailey, M. B., Hamann, J., Pendleton, L. K., Reisberg, R., & Whitman, D. L. (2014). The gendered effect of cooperative education, contextual support, and self‐ efficacy on undergraduate retention. Journal of Engineering Education, 103(4), 599- 624.[13] Ralph, E., Walker

Conference Session

Virtual Training, Online and Open Education; Instructional Technology

Collection

2023 ASEE Annual Conference & Exposition

Authors

Behlul Kula, Michigan State University; Andreana Louise Roxas; Kristen Sara Cetin P.E., Michigan State University; Annick Anctil; George Berghorn, Michigan State University; Ryan Patrick Gallagher

Tagged Divisions

Educational Research and Methods Division (ERM)

, vol. 104, p. 197–214, 2019.[15] A. Pedro, Q. T. Le and C. S. Park, "Framework for integrating safety into construction methods education through interactive virtual reality," Journal of professional issues in engineering education and practice, vol. 142, p. 04015011, 2016.[16] Q. T. Le, A. Pedro and C. S. Park, "A social virtual reality based construction safety education system for experiential learning," Journal of Intelligent & Robotic Systems, vol. 79, p. 487–506, 2015.[17] C. Boton, "Supporting constructability analysis meetings with Immersive Virtual Reality- based collaborative BIM 4D simulation," Automation in Construction, vol. 96, p. 1–15, 2018.[18] R. Sacks, J. Whyte, D. Swissa, G

Conference Session

Improving Retention & Self-Efficacy through Experiential Learning and Research Programs

Collection

2023 ASEE Annual Conference & Exposition

Authors

Robin Lynn Nelson, University of Texas at San Antonio; Karina Ivette Vielma, The University of Texas at San Antonio; JoAnn Browning, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

development of research self-efficacy in NHERI-REU participants, apre- and post- assessment was administered. A paired-samples t-test was used to determinewhether there was a statistically significant mean difference between the pre and post researchself-efficacy of REU participants. While outliers were detected (question pairs 1,5, 11, 13, and20) that were more than 1.5 box-lengths from the edge of the box in a boxplot, inspection of theirvalues did not reveal them to be extreme, and they were kept in the analysis. Since there weremore than 50 participants, the Normal Q-Q lot method was used to analyze and demonstrate thatthe difference score between question pairs was approximately normally distributed for allquestions. Further, paired samples t

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Derrick Hylton, Spelman College; Shannon Hsianghan-huang Sung, Institute for Future Intelligence; Xiaotong Ding; Mary Johanna Van Vleet

Tagged Topics

NSF Grantees Poster Session

://www.nsf.gov/pubs/2020/nsf20101/nsf20101.jsp (accessed Feb. 13, 2022).[2] C. Wang, J. Shen, and J. Chao, “Integrating Computational Thinking in STEM Education: A Literature Review,” International Journal of Science & Mathematics Education, vol. 20, no. 8, pp. 1949–1972, Dec. 2022, doi: 10.1007/s10763-021-10227-5.[3] X. Tang, Y. Yin, Q. Lin, R. Hadad, and X. Zhai, “Assessing computational thinking: A systematic review of empirical studies,” Computers & Education, vol. 148, p. 103798, Apr. 2020, doi: 10.1016/j.compedu.2019.103798.[4] Y. Yin, R. Hadad, X. Tang, and Q. Lin, “Improving and Assessing Computational Thinking in Maker Activities: the Integration with Physics and Engineering Learning,” J Sci Educ Technol, vol. 29

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Weihang Zhu, University of Houston; Peter Weber

Tagged Topics

NSF Grantees Poster Session

points from 1 as “None at all” to 9 as “A great deal”.Our RET site survey also adopted nine points Likert scale to allow for finer data comparison ofpre-program and post-program results. 4. Evaluation Result and Discussion 4.1 Survey Result and Discussion The developed RET site survey was used to measure the self-efficacy of teachers in summer2022. Because each cohort only has 12 teachers which are not sufficient for drawing statisticallysignificant results, we only use descriptive statistics to compare the pre-program and post-programresults, as shown in Table 2. Figure 1 illustrates the difference in percentage. Table 2. Descriptive statistics to compare the pre- and post-program results Q# Pre

Conference Session

Miscellaneous Mechanics: Covid and Free Body Diagrams

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sridhar S. Condoor, Saint Louis University; Bryan MacGavin, Saint Louis University; Raja Shekar P. V.

Tagged Divisions

Mechanics Division (MECHS)

gravity is point A. For balance, if p= 4 ft and q = 1 ft, the counterweight must be: A. 5 lb B. 10 lb C. 20 lb D. 40 lb E. None of the above9. The footprint for the glass tabletop is resting on twosupports is A. B. C. D.10. A star-shaped base supports a glass tabletop. Thefootprint is: A. Blue dotted big circle A B. Black dashed hexagon B C. Red small hexagon C D. Purple dotted circle D E. The star shape.11. A force F is applied to the block. The weight of theblock is W. Determine the necessary condition for the blockto tip. A. F ³ µW and F ³ 2W B. F £ µW and F ³ 0.5W C. F ³ µW and F ³ 0.5W D. F £ µW and F £ 2W12. Angle q is 300, and the coefficient of friction is 1. If thedimensions of the block are

Conference Session

Chemical Engineering Division (ChED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jaafar Ballout, Texas A&M University at Qatar; Mamoun Al-Rawashdeh, Texas A&M University at Qatar

Tagged Divisions

Chemical Engineering Division (ChED)

, 2012, doi: 10.1016/j.cej.2012.07.028.[13] S. Haase, D. Yu, and T. Salmi, “Chemical Engineering Research and Design Review on hydrodynamics and mass transfer in minichannel wall reactors with gas – liquid Taylor flow,” Chemical Engineering Research and Design, vol. 113, pp. 304–329, 2016, doi: 10.1016/j.cherd.2016.06.017.[14] C. Ye, M. Dang, C. Yao, G. Chen, and Q. Yuan, “Process analysis on CO 2 absorption by monoethanolamine solutions in microchannel reactors,” Chemical Engineering Journal, vol. 225, pp. 120– 127, 2013, doi: 10.1016/j.cej.2013.03.053.[15] R. Ramezani, I. M. Bernhardsen, R. Di Felice, and H. K. Knuutila, “Physical properties and reaction kinetics of CO2 absorption into unloaded and CO2

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan L. Solnosky P.E., Pennsylvania State University; Rebecca Napolitano; Wesley F. Reinhart, Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

exposure to actual data. • Establish Teach-the-teacher and inter-institutional translation documentation in the form of a webinar, self-reflection materials, best practices documentation, and shared feedback from prior professors who taught the material • Establish a website that covers the following attributes: a Q&A forum for professors, repository for educational materials, surveys, and example code tailored to AE and MATSE students, repository for community related datasets, and teach-the-teacher and inter-institutional translation documentation.A Contextualized DS Approach in MATSE and AE A review of the most prevalent and useful data-centered skills was conducted to ensure thatemerging

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Susan M Lord, University of San Diego; Matthew W. Ohland, Purdue University, West Lafayette; Richard A. Layton; Marisa K. Orr, Clemson University; Russell Andrew Long, Purdue University, West Lafayette; Catherine E. Brawner, Research Triangle Educational Consultants; Joseph Roy, American Society for Engineering Education (ASEE)

Tagged Topics

NSF Grantees Poster Session

they were resolved. I think 2) is really hard in a 3-day workshop. The R operations aren’t intuitive and it’s probably really hard for a newbie to make much sense of them. So, I think I'd probably spend more time thinking about storyboarding how someone might use MF to approach a question. That was touched on during Thurs, but something like: To answer X, you need to know Y. You could get Y by combining Z and Q. Z is in MIDFIELD, but Q would need to come from outside. I think that might have been more helpful on Thurs am than the R exercise. But I think there are good nuggets in the R exercises. They're worthwhile, but to really understand the scripts takes time. • I think the data visualization

Conference Session

Biomedical Engineering Division (BED): Best of Works in Progress

Collection

2023 ASEE Annual Conference & Exposition

Authors

Charles Patrick Jr., Texas A&M University

Tagged Divisions

Biomedical Engineering Division (BED)

26-29, 2016, 15129. [Online]. Available: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiAu- u44fn8AhVfM1kFHZrZDhMQFnoECBwQAQ&url=https%3A%2F%2Fpeer.asee.org%2Fprediction- and-reflection-activities-in-a-chemical-engineering-course-fundamentals-of-heat-and-mass- transfer.pdf&usg=AOvVaw19qKmZky_hMTDhrGfNdpmq.[7] M. Chorazy and K. Klinedinst, "Learn by doing: A model for incorporating high-impact experiential learning into an undergraduate public health curriculum," Frontiers in Public Health, vol. 7, pp. 1-7, 2019, doi: https://doi.org/10.3389/fpubh.2019.00031.[8] G. Gibbs, Learning by doing: A guide to teaching and learning methods. London

Conference Session

Construction Engineering Division Technical Session 5

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sanjeev Adhikari, Kennesaw State University; Tran Duong Nguyen, Kennesaw State University

=PT16&d q=Green+Buildings+and+the+Law+by+Adshead,+J.&ots=dcRUngEmfz&sig=a25sjmsfGT uEVrkdQHTp7n0m0H4#v=onepage&q=Green%20Buildings%20and%20the%20Law%20b y%20Adshead%2C%20J.&f=false (accessed Jan. 31, 2022).[16] B. Sanchez, R. Ballinas-Gonzalez, M. X. Rodriguez-Paz, and J. A. Nolazco-Flores, “Usage of Building Information Modeling for Sustainable Development Education,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Jan. 31, 2022. [Online]. Available: https://peer.asee.org/usage-of-building-information-modeling-for- sustainable-development-education[17] S. Adhikari, R. Zhang, K. Bedette, and C. Clevenger, “Sustainability Related Issues among

Conference Session

Problem- and Project-Based Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Alaa Jaber; Kimberly Lechasseur, Worcester Polytechnic Institute; Khairul Mottakin; Zheng Song, UMDearborn

Tagged Divisions

Educational Research and Methods Division (ERM)

) introduce the website interface/functionality/moduledesign and what optimization (or testing) techniques did the team use in 2 minutes; 3) brieflydemonstrate the workflow of the website in 1.5 minutes. Each team has a Q&A section wherethey can answer questions from other students and assessors.We invited three evaluators to grade students’ projects, including two females and one male. Theevaluators have had at least 3 years of experience working as full stack/back-end web developers.They were asked to grade the students’ presentations from five aspects: 1) the novelty of the idea;2) the technical depth; 3) the website’s design; 4) the presentation; and 5) the Q&A session. Thefinal grade for each team was 25 points, which was evenly divided

Collection

2022 ASEE Midwest Section Conference

Authors

Alexa G. Moreno; Thomas W. Smith; Edgar C. Clausen

plate, with no heat generation, yields: − qOut = q Acc (1)The plate is cooled by free convection and radiation: qOut = qConv + qRad = hAs (Ts − Ta ) + εσAs (Ts4 − Ta4 ) (2)The plate accumulates heat with an inverse relationship to time as it cools back to room-temperature: dT dT q ACC = − M (C p ) = − ρV (C p ) (3) dt dtThus, the heat balance of Equation 1 yields Equation 4

Collection

ASEE-NE 2022

Authors

Tedi Qafko, Wentworth Institute of Technology; Trevyn Larson; Andrew Michael Seredinski, Wentworth Institute of Technology

in Air by Their Assembly in Inert Atmosphere,” Nano Lett., vol. 15, no. 8, pp. 4914–4921, Aug. 2015, doi: 10.1021/acs.nanolett.5b00648.[8] M. Yankowitz, Q. Ma, P. Jarillo-Herrero, and B. J. LeRoy, “van der Waals heterostructures combining graphene and hexagonal boron nitride,” Nat. Rev. Phys., vol. 1, no. 2, pp. 112–125, Feb. 2019, doi: 10.1038/s42254-018-0016-0.[9] C. R. Dean et al., “Boron nitride substrates for high-quality graphene electronics,” Nat. Nanotechnol., vol. 5, no. 10, pp. 722–726, Oct. 2010, doi: 10.1038/nnano.2010.172.[10] G.-H. Lee et al., “Highly Stable, Dual-Gated MoS 2 Transistors Encapsulated by Hexagonal Boron Nitride with Gate-Controllable Contact, Resistance, and Threshold

Collection

ASEE Middle Atlantic 2022 Fall Conference

Authors

Rafic Bachnak P.E., Pennsylvania State University, Harrisburg, The Capital College; Peter Idowu P.E., Pennsylvania State University, Harrisburg, The Capital College

Tagged Topics

Diversity

reactive (Q) powers suppliedby the transformer. They also measured the RMS values of the transformer input current and theload current (RLC load).Exercise 4: In this exercise, students used the Simulink toolboxes to simulate a three-phasepower system that includes a transformer and several loads as shown in Figure 2. Specificationsincluded: A balanced Y-connected source with Vphase-to-phase voltage of 120 Vrms, 60 Hz,connected to a three-phase transformer with a turns ration n = 2. The output of the transformersupplies power to two separate loads. The first load is a -connected three-phase series RLCload of PL = 10 kW, QL = 200 VARs, and QC = 100 VARs. The second load is a three-phaseseries RLC load with P = 10 kW, QL = 200 VARs, and QC = 100

Collection

2023 ASEE North Central Section Conference

Authors

Vincent Rodney Sheeler, Ohio Northern University; Lacey Lynn Wernoch, Ohio Northern University; Jed E. Marquart P.E., Ohio Northern University; Hui Shen, Ohio Northern University

the AR half of the head’s width away from the vestibular model,87.5mm, the rotation axis was aligned to the center as seen in Figure 13. Figure 13: Axis of Rotation Visualization (Not to scale)Mathematical ModelingThe flow solver used, Cobalt, is a commercial, implicit, hybrid-grid Euler/Navier-Stokes solverbased on a cell-centered finite volume approach. Viscous fluid flow is governed by the Navier-Stokes equations. In integral form, these equations are given by Equation 1:∂∂t ∫∫∫ q dV + ∫∫ ( fiˆ + gjˆ + hk)ˆ ⋅ ndS ˆ nˆ dS ˆ = ∫∫ (riˆ + sjˆ + tk)⋅ (1) V S Swhere: !ρ

Conference Session

Motivation, Goal Orientation, Identity, and Career Aspirations

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Robert M. O'Hara, Clemson University; Lisa Benson, Clemson University; Jennifer Harper Ogle, Clemson University; Candice W. Bolding, Clemson University

Tagged Divisions

Educational Research and Methods

likelihood estimator. Initial descriptive statisticalanalysis was conducted and used to test normality of data. Dependent variables and hypothesizedcovariates showed significant p-values (p>.05) on Shapiro-Wilk test of normality (refer to Table3). This indicated violations of normality in the data; however, large samples are sensitive toviolations of normality (Azen & Walker, 2011; Pituch & Stevens, 2016). As a result, visualinspections of histograms and normality Q-Q plots indicated acceptable normality in the data[36]-[37]. Table 3 Test of normality of data for each survey construct Shapiro-Wilk

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Emre Tokgoz, Quinnipiac University; Samantha Eddi Scarpinella, Quinnipiac University; Michael Giannone, Quinnipiac University

Tagged Divisions

Computers in Education

same technology to solve these two questions.  26% of the participants correlated to solve Q1 and Q2 by using the same technology, calculator.  33% of the participants correlated to solve Q2 and Q3 by using a calculator.  35% of the research participants selected different technologies for all three questions.Figure 16 below reflects a summary of the correlation analysis. Correlation Analysis of the Three Research Questions  Different Tech  35%  Q2&3  33%  Q1&3  52%  Q 1&2