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

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

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

Conference Session

Multidisciplinary Engineering Division Technical Session - Integrated Engineering and Interdisciplinary Impacts

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mohammed K Faris, University of Mosul / Iraq; Charles Pierce, University of South Carolina; Gurcan Comert

researchexperience(s). These results reveal a highly favorable opinion of the overall student experience.The level of satisfaction was the most positive indicator, with 85% of respondents expressingthat they were very satisfied with this experience. Across all three questions, just one responseindicated a negative opinion of summer research as a learning experience. As shown in Table 5,one respondent selected “Well, it was better than working just for a salary, but I don't think Ilearned a lot.”Table 3. Student Expectations of Research Experience Q: Think about the expectations you had about the research experience before it began. Use the scale below to evaluate your current feelings. The experience was worse than I expected

Conference Session

Incorporating Technology in the Classroom

Collection

2022 ASEE Annual Conference & Exposition

Authors

Guenter Bischof, Joanneum; Christian Steinmann; Thomas Kainz; Eric Menard; Robert Poetsch; Maximilian Sterkl; Christoph Tröster

L =T − U = 12 m ( x 2 + z 2 ) − 12 k (r + mg k ) 2 − mgz , (2)with x and z being x= (l + r )sin(ϑ ) and z = z − (l + r ) cos(ϑ ) , (3)expressed in cylindrical coordinates (see e.g. [7]).The Lagrangian together with a Rayleigh dissipation function R(qk ) = (1 2) β qk2 , whichaccounts for non-conservative damping forces is inserted in the Euler-Lagrange differentialequations in order to derive the equations of motion of the system: d ∂L ∂L ∂R

Conference Session

Engineering Technology Technical Session 5

Collection

2022 ASEE Annual Conference & Exposition

Authors

Carmen Cioc, University of Toledo; Noela A Haughton, University of Toledo; Sorin Cioc

Tagged Divisions

Engineering Technology Division

his life as an entrepreneur, the guest speaker emphasized the constant need to be curious and to always make connections, to be innovative, and to create value throughout own’s career. He continued his lecture talking about Robert Kern’s and EML as a new way of thinking and doing, mentioning that it is not just about improving one's skills, but it is about a mindset. The guest speaker finished his lecture talking and encouraging the students to adapt to the future by investing in themselves, by being an intrapreneur, and a lifelong learner. He advised the students to start by identifying what is needed and identifying the gaps in their workplaces. The lecture ended with a Q&A session. The multitude of questions the

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

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

Civil Engineering Division - Mechanics Applied and the Best in Five... Get Ready!

Collection

2022 ASEE Annual Conference & Exposition

Authors

Harry Cooke, Rochester Institute of Technology (CET)

Shear in a Transversely-Loaded BeamIn strength of materials, students learn about shear forces that develop on horizontal planes in atransversely-loaded beam due to variations in internal bending moment along the beam lengthcaused by that loading. The shear force on a horizontal plane is often quantified per unit lengthof the beam using the shear flow, q, calculated using the formula: q = VQ/Iwhere V is the internal vertical shear force at a particular location along the beam length, I is themoment of inertia of the beam cross-section (perpendicular to the length), and Q is the firstmoment of area (about the centroidal axis) of the cross-section segment isolated by the horizontalplane. Students learn

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Brian Skromme, Arizona State University; Srividya Bansal, Arizona State University; Rishabh Gupta, Arizona State University; Tariq M Nasim, Arizona State University; Caleb Redshaw; Benjamin Miller, Arizona State University; Petru Andrei, Florida A&M University - Florida State University; Hector Erives, University of Texas at El Paso; Deanna Bailey, Morgan State University; Gregory Wilkins, Morgan State University; Megan O'Donnell, Arizona State University; Wendy Barnard, Arizona State University

large classes,” IEEE Trans. Educ., vol. 48, pp. 658-663, 2005.[7] P. Marepalli, A. Magana, M. R. Taleyarkhan, N. Sambamurthy, and J. V. Clark, “SugarAid 0.2: An online learning tool for STEM,” in Proc. 2010 Internat. Conf. Computat. Intell. and Software Engrg, 2010, pp. 1-6.[8] N. Sambamurthy, A. Edgcomb, and Y. Rajasekhar, “Student usage of interactive learning tools in an online linear circuit analysis textbook,” in Proc. 2019 IEEE Frontiers in Educat. Conf., 2019, pp. 1-6.[9] K. VanLehn, “The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems,” Educat. Psychologist, vol. 46, pp. 197-221, 2011.[10] C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated