Collection

ASEE-NE 2022

Authors

Caressa Adalia Wakeman, University of Connecticut ; Amvrossios Bagtzoglou, University of Connecticut; Maria Chrysochoou, University of Connecticut

Tagged Topics

Diversity

(CC). The results of the statistical analysis are summarized in Table 4.Figure 1: Student perceptions of challenges for neurotypical and neurodivergent students as the courseprogresses. Graphs (a) and (c) show the distribution of challenges for all students from IRP, Q-1 and RP1, Q-1,respectively. Graphs (b) and (d) show the distribution of challenges for neurodiverse students from IRP, Q-1 andRP1, Q-1, respectively.Table 4: Proportions (%) of top 3 codes for student perception of challenges for neurotypical (NT) andneurodivergent (ND) students with course progression and p-value for hypothesis testing. A p-value in boldindicates statistical significance at 5% level. IRP RP1

Conference Session

Technical Session S2A

Collection

2022 First-Year Engineering Experience

Authors

Whitney Gaskins, University of Cincinnati

Tagged Topics

Workshops

) - Early alert system - Community Engagement - Professional Connections - Intrusive AdvisingCurrent Retention Programming Inventory (15 minutes) - What student support do you currently have on your campus? - What student support do you currently have in your college? - How involved are the students in the support programs? - What is missing from student support?Q&A (20 minutes)

Conference Session

CIT Division Technical Session #2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ahmad Javaid, The University of Toledo; Quamar Niyaz, Purdue University Northwest; Charlene Czerniak; Sidike Paheding, Michigan Technological University

programming languages known.The results are shown in Fig. 11. We have observed a positive impact on both genders even thoughmales have more computer knowledge than females. Table 1. Survey QuestionsQ1 What kind of cipher is a Caesar Cipher?Q2 Encryption is when you get ciphertext and turn it into plaintextQ3 What is needed to read encrypted messages?Q4 What is Cryptography used for?Q5 In RSA Algorithm, we select 2 random large numbers ‘p’ and ‘q’. Which of the following is the property of ’p’ and ‘q’?Q6 What text is the scrambled and

Conference Session

CIT Division Technical Session #8

Collection

2022 ASEE Annual Conference & Exposition

Authors

Juan Felipe Calderon, Universidad Andres Bello, Chile; Pablo Schwarzenberg, Universidad Andres Bello

videoconference sessions were held twice a week for ERT students and once amonth for online students.Table 2: Activities in the courses included in the study. Modality Pre-class activi- In-class activi- Post-class activities ties ties Lecture None Concept Re- Laboratory (each week) based views Three Graded Programming Q/A Sessions Assignments Worked Exam- ples Group Pro- gramming As- signments Flipped

Collection

2005 GSW

Authors

W. Roy Penney; Lauren N. Leach; Jeffrey R. Dorman; Edgar C. Clausen; Daniel E. Fluornoy; Alice K. Keogh

⎟ (3) ⎜ ⎛ (Ts − Tin ) ⎞ ⎟ ⎜⎜ ln⎜ ⎟ ⎟⎟ ⎜ (T − T ⎟ ⎝ ⎝ s out ) ⎠ ⎠ 4. Calculate the experimental heat transfer coefficient: qin = q out qin = he * As * LMTD (4) ⎛ ⎞ ⎜ ⎟ ⎜ q out ⎟ ∴ he = ⎜ A * LMTD ⎟ ⎜ s ⎟ ⎜ ⎟ ⎝ ⎠ 5. Calculate the experimental Nusselt number: he * d i Nue = (5) k 6

Collection

2022 ASEE St. Lawrence Section Annual Conference

Authors

Shivaun D Archer, Cornell University

. The calculations of average velocity were done using Microsoft Excel.The students also worked on a theoretical model of the network using MATLAB® to predictpressure, volumetric flow, and velocity in each channel and compared them with theexperimental results. Since the 1st year students were just learning MATLAB®, a MATLAB®code was given to them. The MATLAB® code used Poiseuille’s equation for a rectangularchannel, ΔP = 12µQL/wh3 where µ = viscosity, Q = volumetric flowrate, L = length of channel,w = width of channel and h = height of channel and a global nodal and channel matrix based onthe number of channels and nodes. They were expected to follow the logic of the code. The codecalculated the individual channel flow rates and pressure in

Conference Session

Electrical and Computer Engineering Laboratory and SoC Developments

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sandip Das, Kennesaw State University; Craig Chin, Kennesaw State University; Sheila Hill, Kennesaw State University

clear idea about the lab objectives, what to expect and what to do before coming to the in-person lab. Q4 There was a pre-lab exercise and the pre-lab helped me to better prepare for the in- lab, hands-on lab exercise. Q5 If a student answered ‘NA’ for Q 4, then the student was asked Q 5(a) (a) There was no pre-lab exercise. I believe, a small pre-lab exercise would help to familiarize me with the lab topic and prepare me better for the in-lab, hands-on lab exercise. Else, the student is asked Q 5(b) (b) The LTspice simulations in the pre-lab were helpful to get a clear understanding of the lab objectives and what to expect in the hands-on

Collection

ASEE-NE 2022

Authors

Najmus Saqib, University of Indianapolis

Tagged Topics

Diversity

hosting a question-and-answer (Q&A) session withstudents without a set agenda. This approach usually leads to disastrously low classroomparticipation and classroom meetings ending awkwardly early. The author’s experience withthese is that students do not study prior to the review sessions, the instructor is not prepared withexample problems, and both parties waste valuable class time. Such Q&A-based review sessionsare usually ineffective because students do not know what questions to ask if they do not studyprior to the exam review and they do not know in which concepts they need help.BackgroundVisual learning is an important method for exploiting students' visual senses to enhance learningand engage their interest. Visual methods can

Conference Session

Energy Conversion and Conservation Technical Session 1: Innovative Approaches to Teaching Energy-Related Concepts

Collection

2022 ASEE Annual Conference & Exposition

Authors

John Mativo, University of Georgia; Jacob Lancaster, University of Georgia

unitless , U is heat transfer coefficient, A is heat transfer area, and C is thesmallest thermal capacity of the two fluids. 𝑁𝑇𝑈 0.22 𝜀 = 1 − 𝑒𝑥𝑝 { [exp(−𝑐 𝑁𝑇𝑈 0.78 ) − 1]} …………………….. (3) 𝑐where ε is effectiveness, and c is ratio of smallest thermal capacity to largest thermal capacity. q=ɛ*Cmin*(T -T )…………………………………… (4) h,i c,iwhere q is heat transfer rate, ɛ is effectiveness, T is temperature of hot fluid in, and T is h,i c,itemperature

Conference Session

Mechanical Engineering: Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sheldon Jeter, Georgia Institute of Technology

 COMB   Q IN  CCOMB,ACT   FCOMBCSYS,0    (5)  Q IN,0 It is worth mentioning that the combustor may be replaced by an external heat exchanger (EXHX)in many important applications such as in high temperature gas cooled reactors and similarsystems. In tis case the obvious rating feature is the heat exchange area or the essentially equivalentand easier to calculate overall conductance. In this case the cost model would be such as:  F EXHX

Conference Session

CIT Division Technical Session #3

Collection

2022 ASEE Annual Conference & Exposition

Authors

Reza Sanati-Mehrizy, Utah Valley University; Afsaneh Minaie, Utah Valley University

speed that is fueling a tremendous increase in demand for computer scienceprofessionals. As a result, the industries and organizations have many open positions that can’tsimply fill them. This is because the institutions of higher education are not graduating career-ready students fast enough to meet this high market demand. To prepare a well-rounded, industryand career-ready student, the above-mentioned activities are very crucial.References[1] “World Final Past Problems”, Accessed March, 2022, https://icpc.global/worldfinals/problems[2] “Explorable Places”, Accessed Feb., 2022, https://www.explorableplaces.com/blog/the-benefits-of-field-trips[3] ”Indeed.com”, Accessed Jan, 2022,https://www.indeed.com/jobs?q=College%20Students%20Paid%20Summer

Collection

2022 ASEE St. Lawrence Section Annual Conference

Authors

Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York; Kelly Tenzek

, Accessed: Mar. 03, 2022. [Online]. Available: https://www.frontiersin.org/article/10.3389/fpsyg.2017.00716[6] K. E. Tenzek and B. M. Nickels, “End-of-Life in Disney and Pixar Films: An opportunity for Engaging in Difficult Conversation,” Omega, vol. 80, no. 1, pp. 49–68, Nov. 2019, doi: 10.1177/0030222817726258.[7] A. Kruisselbrink Flatt, “A Suffering Generation: Six Factors Contributing to the Mental Health Crisis in North American Higher Education,” Coll. Q., vol. 16, no. 1, 2013, Accessed: Mar. 29, 2021. [Online]. Available: https://eric.ed.gov/?id=EJ1016492[8] A. L. Montoya and L. L. Summers, “Dimensions of wellness for educators,” vol. 42, no. 1, p. 5, 2021.[9] J. Galecki, J. Parsons, and K. Cuoco

Collection

2004 GSW

Authors

Roman Taraban; Arne Weigold; Edward E. Anderson; M. P. Sharma

, and Enjoyment 7 6 5 Back and Forth Points 4 Efficiency 3 Enjoyment 2 1 0 Book Book CD-ROM CD-ROM Lecture (w. Q.) (w/o Q.) (w. Q.) (w/o Q.) NotesThree questions (see questions 12, 13, and 14 in Appendix B) asked participants to listcomprehension strategies that they could apply when faced with difficultiescomprehending their textbooks, lecture notes, and CD materials

Conference Session

Computers in Education 9 - Technology I

Collection

2022 ASEE Annual Conference & Exposition

Authors

Andrew Forney, Loyola Marymount University; Mandy Korpusik, Loyola Marymount University; Masao Kitamura, Loyola Marymount University

Berkeley’s “Pacman Projects” to teach introductory lessons in topics like search, filtering, andq-learning [9]. However, these lessons are largely within the online-learning domain and stop shortof discussing deep learning either in the imitation or reinforcement learning contexts. Others havepicked up this thread and adapted deep-Q-networks to learn in the Pacman environment online[10], but in ways that focus less on the particulars of deep learning’s fundamentals (let alone froman educational bearing) and with more of a focus on the details of online learning.Contributions & OutlineThe distinguishing contributions of Pacman Trainer (PT), and likewise, the portions of the DLeducational pipeline that it addresses, are as follows: Contribution

Conference Session

Software Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Britton Wolfe, Grove City College; Eli Lowry, Grove City College

), with an R2 of 0.360 and adjusted R2 of0.286.The coefficients for the variables are presented in Table 2, along with the t-values and p-valuesfor each. At the p=0.05 level of significance, both the student’s major and their response toQuestion 2 on the quiz were significant predictors of exam score. However, the Question 2coefficient is negative, so higher scores on the quiz indicate lower exam scores, an unexpectedresult. CS majors score 7 points higher on the exams than other STEM majors, who score 13.3points higher than non-STEM majors. A Q-Q plot of the residuals indicates that they arereasonably close to normally distributed (Figure 3). The plot of residuals vs. predicted value(Figure 3) indicates that the model is more accurate for higher

Conference Session

Technical Session 12 - Paper 3: Increasing Minority Student Applications to STEM Graduate Programs: Lessons Learned and Outlook for a New Program

Collection

2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)

Authors

Kingsley Nwosu Jr, Virginia Polytechnic Institute and State University; Tremayne O'Brian Waller, Virginia Polytechnic Institute and State University; Mandy J Wright, Fields Wright Consulting; Mike Ekoniak, Youngstown State University - Rayen School of Engineering

Tagged Topics

CoNECD Paper Sessions, Diversity

from explaining her academic andcareer trajectory to giving and advice and considerations for the entire process fromhow to decide whether to complete graduate work through every detail. Thegraduate coordinator for the Department of Civil and Environmental Engineeringtalked about the role of graduate coordinators in their departments and programs inthe Virginia Tech College of Engineering, and encouraged the participants to talk withtheirs early and often throughout the applications process and graduate school. Ayoung faculty panel Q&A with two Black and Hispanic male faculty members followeda break for lunch, then the program director's discussion of the GEM fellowship andother funding opportunities. In the afternoon, the personal

Conference Session

Electrical and Computer Engineering Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ramakrishnan Sundaram, Gannon University; Benjamin Lubina, Gannon University

network will start as a single hidden layer linear Q-Learning network,where the Q signifies the ideal action to be taken in a scenario which is taken each step. The M =3 outputs represent left, right, and straight, which are the possible actions for the snake to take (Itis possible to move back in on the snake’s body, ending the game, but by removing that as anoption, this isn’t possible for the AI). The input layer has N = 11 inputs which are two Booleanvalues, 1 or 0, and are listed accordingly: - Danger left, right, straight – these three values are input as 1 if moving in the corresponding direction would cause a game to be over, else they are assigned 0. This uses the collision function made in Module

Conference Session

Community Engagement Division Technical Session 4- COVID and Virtual Learning

Collection

2022 ASEE Annual Conference & Exposition

Authors

Patrick Sours, The Ohio State University; Howard Greene, The Ohio State University

final group report and video summarizingrecommendations for each residential scenario in preparation for a final community Q&A.Reflections on the first partnership activityAfter the end of the course, a session was held with representatives from the NGO andinstructors from both universities to reflect on the completed work and the partnership. Therewere four observations that came out of this reflection activity: 1. The NGO stated that the level of engagement of the community over the semester-long duration of the collaborative activity was exemplary. These interactions were characterized as “positive social experiences with genuine participation from the community process was as important as product/output”. The NGO

Conference Session

ERM: Diversity, Equity, and Inclusion

Collection

2022 ASEE Annual Conference & Exposition

Authors

Elsa Villa, University of Texas at El Paso; Ann Gates, University of Texas at El Paso; Patricia Morreale, Kean University; Mohsen Beheshti; Nayda Santiago, University of Puerto Rico, Mayaguez Campus

Paper ID #37181Broadening Participation of Latinx in Computing GraduateStudiesElsa Q. Villa (Research Assistant Professor)Patricia Morreale (Professor) Patricia Morreale is Professor and Chair of the School of Computer Science and Technology in the Hennings College of Science, Mathematics, and Technology at Kean University. Her research focuses on multimedia and network systems for secure service delivery, mobile computing, and human computer interaction. Her work on network design developed techniques for error detection and secure processing, which have been patented and commercialized. She has developed mobile

Conference Session

CIT Division Technical Session #10

Collection

2022 ASEE Annual Conference & Exposition

Authors

Yosi Shibberu, Rose-Hulman Institute of Technology; Steve Chenoweth, Rose-Hulman Institute of Technology

1 0 1 2 3 4 5 T Q L H P T Q L H PFigure 1: Box plots of the standardized grades of the 53 students who took CSSE386 and MA384in the 2021–2022 academic year. T: Tests, Q: Quizzes, L: Lessons, H: Homework, P: ProjectsReferences[1] Reza Sanati-Mehrizy, Kailee Parkinson, Elham Vaziripour, and Afsaneh Minaie. Data mining course in the undergraduate computer science curriculum. In 2019 ASEE Annual Conference & Exposition, 2019.[2] Mine C¸ etinkaya-Rundel and Victoria Ellison. A fresh look at introductory data science. Journal of Statistics and Data

Collection

2022 ASEE Illinois-Indiana Section Conference

Authors

Pranav Bhounsule, The University of Illinois at Chicago; Cynthia Lima, University of Texas at San Antonio

Tagged Topics

Diversity

– somewhatdisagree; 3 – neither agree nor disagree; 4 – somewhat agree; 5 – strongly agree. The mean andstandard deviation are shown in Table 1. We used a Wilcoxon Rank Sum Test to compute thetest statistic, the p-value. We use a p-value of 0.05 to interpret the results. The null hypothesis isthat the median of the pre- and post-camp is the same while the alternate hypothesis is that theyare not. A p-value less than 0.05 would indicate that the null hypothesis should be rejected. Inother words, the coding camp had a significant effect in changing the perception of the campers.Q1 to Q 4 is about the girl’s perception of what scientists/engineering do and related careeroptions. As seen from the Table, the mean pre-camp was between 3.2 to 3.8 and increased to

Conference Session

Materials Division Technical Session 3

Collection

2022 ASEE Annual Conference & Exposition

Authors

Yang Dan, University of Illinois at Urbana - Champaign; Andre Schleife; Dallas Trinkle, University of Illinois at Urbana - Champaign; Pinshane Huang, University of Illinois at Urbana - Champaign; Cecilia Leal

computationalresources, reading materials, help and support from the teachers and teaching assistants, chancesfor discussion among students, and lecture recordings. The last question asks the students’general feelings of difficulty for online computational learning experience. The questions arelisted as below.We would like to know more of your online learning experiences of the computational modules,specifically, your experience with learning and doing assignments using computational tools likeOVITO, OOF2, MATLAB, LAMMPS, Thermo-Calc (CALPHAD) and Quantum Espresso (DFT),etc. • Q(a): I had easy access to computational resources (e.g. engineering workstation, Ceramics Computer Lab machines) for learning computational modules and doing the computational

Conference Session

First-Year Programs Division Technical Session 14: Introductory Programming Assessment, Plagiarism, Motivation, Engagement, and Textbooks

Collection

2022 ASEE Annual Conference & Exposition

Authors

P.K. Imbrie, University of Cincinnati; Jeff Kastner, University of Cincinnati; Dylan Ryman, University of Cincinnati

). Let S be the set of all files in a target sampleand T ⊆ S × S the set of all plagiarized pairs. Given a match scoring function s : S × S → Q andan identical similarity function i : S → Q, the sensitivity preservation function on a similarityengine result set, p : P(S × S) → Q, is given by:  1  max({s(rα , rβ ) | (rα , rβ ) ∈ R ∧ {rα , rβ } = {tα ,tβ }})p(R) = |T |  ∑ max(i(tα ), i(tβ )) (1) (tα ,tβ )∈T

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

John Moreland; Tyamo Okosun, Purdue University Northwest; Armin Silaen; Kyle Toth, Purdue University Northwest; Chenn Zhou, Purdue University Northwest

-for-a- flooding-system-in-student-learning.[19] Wu, D., P. Zhou, Z. Sun, and C.Q. Zhou. 2015. CFD analysis of lining erosion phenomenon at the outlet of top combustion hot blast stove. In: Proceedings of 2015 AISTech Conference, Cleveland, OH. Accessible from: http://digital.library.aist.org/pages/PR-368-113.htm.[20] Wang, Tenghao, Jichao Wang, Dong Fu, John Moreland, Chenn Q. Zhou, Yongfu Zhao, and Jerry C. Capo. 2015. Development of a virtual blast furnace training system. In: Proceedings of METEC-ESTAD 2015 Conference, Dusseldorf, Germany. Abstract available at: http://www.programmaster.org/PM/PM.nsf/ApprovedAbstracts/FCA132F29F76F65A85257CA700 7A22B5?OpenDocument.[21] Zhou, Chenn Q. 2013. Application of

Conference Session

Mechanical Engineering: Student Growth

Collection

2022 ASEE Annual Conference & Exposition

Authors

Andre Montes; Sofia Arevalo; Grace O'Connell, University of California, Berkeley

were three presentation formats based on the speakers’ style and timelimit. • Short form: 10 minute presentation followed by 15 minutes of Q&A per speaker • Long form: 25-30 minute presentation followed by 20-25 minutes of Q&A • Panel discussion: 5 minute presentation per panelist followed by open 20-25 minutes of Q&A for all panelistsUndergraduate students were given the option to receive course credit by either (1) asking twoquestions during class or (2) writing a one-paragraph summary for each speaker. Students wereable to miss up to two assignments and still receive a passing grade. Grading was pass/fail for allstudents.Both pre- and post-course surveys were administered online and students were asked to

Conference Session

Biomedical Engineering Division: Developing Lab and Research Skills for BioE/BME Students

Collection

2022 ASEE Annual Conference & Exposition

Authors

Benjamin Hawkins, California Polytechnic State University, San Luis Obispo

abbreviated statements are shown in Figure 2. Categorical responses were quantified by assigning values of 1 through 5 for “Strongly Disagree” through “Strongly Agree,” respectively. No outliers were found in the data, using Q =1 (outliers are outside Q times the interquartile

Conference Session

First-Year Programs Division Technical Session 14: Introductory Programming Assessment, Plagiarism, Motivation, Engagement, and Textbooks

Collection

2022 ASEE Annual Conference & Exposition

Authors

Yasaman Adibi; Oscar Rios, zyBooks, A Wiley Brand; Nikitha Sambamurthy, zyBooks, A Wiley Brand

I 5.0 5.0 0.0 100.0 100.0 1.2 1.0 3.9 K 23.0 21.0 2.0 91.3 91.0 1.8 1.0 3.3 L 4.0 4.0 0.0 100.0 100.0 1.0 1.0 4.3 M 21.0 14.0 7.0 66.7 66.0 2.1 1.0 3.7 N 269.0 142.0 127.0 52.8 52.8 1.4 1.0 1.8 O 97.0 87.0 10.0 89.7 87.6 2.6 1.0 4.1 P 14.0 13.0 1.0 92.9 90.0 5.1 1.0 13.2 Q 141.0 64.0 77.0 45.4 43.0 2.1

Conference Session

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

Collection

2022 ASEE Annual Conference & Exposition

Authors

Haritha Malladi, University of Delaware; Joshua Enszer, University of Delaware; Jenni Buckley, University of Delaware

651, 92%response rate). Supplemental help sessions like Q&A sessions facilitated by the instructor andinstructor/peer leader office hours were rated neutral by 57% of the student respondents. Thiswas in line with the observation that students primarily sought help during the discussion sessionand these supplemental sessions were not well-attended. From Figure 2, 88% of the studentrespondents strongly agreed or agreed that their peer leader was a good guide/mentor and 93% ofthe students indicated that they could get help when they needed it. These results were an earlyindicator that the implementation of the in-person peer leader-led discussion sessions in smallergroups was a useful addition to the large-enrollment course

Conference Session

College Industry Partnerships Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hoo Kim, LeTourneau University

Director of Qeexo Week 8 - 15 Term Project (& ML Contest) Providing technical seminar and remote Q&A ▪ Topic selection - presentation sessions by engineering staff of Qeexo in ▪ Hands-on project development technical areas such as SW Installation and ▪ Final presentation Issue Resolutions.Term Project Description(s)Class term projects requested students to search for and choose project topics which could applyembedded ML to solve the relevant engineering problem(s). Term projects included three mainparts: Part I – ML Project Planning/Framing, Part II – ML Project Implementation, and Part III –Report and Presentation. Along with the course schedule, the major project

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Shannon Clancy, University of Michigan; Shanna Daly, University of Michigan; Laura Murphy, University of Michigan; Colleen Seifert, University of Michigan

understanding becauseher understanding of the problem shifted and evolved during the idea generation and prototypingactivities of her project. Q: “Do you have any examples of different ways that you understood the problem as you were going through the project?” A: “So, in the beginning it was just broad concept because they already had a tag developed with the electronics. And so, in my mind, it was going to be like Okay, how do we take this tag that already exists and stick it on [animal] and then from like thinking about that conceptualizing prototyping. We kind of realized that the tag wasn’t actually doing to work at all and we’d have to redesign the electronics housing so then it turned into a