Collection

2023 ASEE Midwest Section Conference

Authors

Yayu Peng

isplanned to be carried out in 2024 and more detailed results and analysis will be presented in thefull paper. © American Society for Engineering Education, 2023 2023 ASEE Midwest Section ConferenceReferences[1] G. Rizzoni, Principles and Applications of Electrical Engineering, 6th ed. New York, NY,USA: McGraw-Hill Higher Education, 2016.[2] Q. Du and J. Schneider, “improvement of an electrical engineering course offered to non-electrical engineering majors,” in Proc. of ASEE Annual Conference and Exposition, Chicago,IL, USA, 2006.[3] S. Bell and M. Horowitz, “Rethinking non-major circuits pedagogy for improvedmotivation,” in Proc. ASEE Annual Conference and Exposition, Salt Lake City, UT, USA

Collection

15th Annual First-Year Engineering Experience Conference (FYEE)

Authors

Angela Jin Sadlowski, The Johns Hopkins University; Eileen Haase PhD, The Johns Hopkins University; Gyeongtae Sun Moon, The Johns Hopkins University; Meera R Bhat, The Johns Hopkins University

for communication skill development and active learning,” Journal of Computing Sciences in Colleges, Dec. 2005, doi: 10.5555/1089053.1089074.[5] B. W. Tuckman, “4.2 Five Models for Understanding Team Dynamics,” Psychol Bull, vol. 63, no. 6, pp. 384–399, Jan. 2019, doi: 10.1037/H0022100.[6] “Biomedical Ethics for Engineers: Ethics and Decision Making in Biomedical ... - Daniel A. Vallero - Google Books.” Accessed: May 12, 2024. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=AeT56Pi8LFYC&oi=fnd&pg=PP1&dq= ethics+in+biomedical+engineering&ots=1bCHSRFiq8&sig=j- qDwL7FXVpaeuDShOWLFuWp0sI#v=onepage&q=ethics%20in%20biomedical%20engi neering&f=false[7

Conference Session

Frameworks and Comparative Analyses in ECE Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yan Zhang, University of South Florida; Jing Wang, University of South Florida

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

, “Extending Innovative Practices for Flipping Classrooms into Recitations: Using a Variety of Representational Modes for Instructions” Proceedings of 2015 American Society for Engineering Education Annual Conference & Exposition, Seattle, WA, June 14- 17, 2015.[4] C. M. de Vries, “Evaluating the Effectiveness of a Statics Recitation Course,” Proceedings of the 2021 American Society for Engineering Education Annual Conference & Exposition, July 26-29, 2021.[5] E. Mazur. 1997. Peer Instruction: A User’s Manual. Prentice Hall, Upper Saddly River, NJ.[6] B. Simon, M. Kohanfars, J. Lee, K. Tamayo and Q. Cutts, “Peer Instruction in Introductory Computing,” Proceeding of the 41st ACM technical symposium on Computer science

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bruce Kovanen, University of Illinois Urbana-Champaign; Paul Prior; John R Gallagher, University of Illinois Urbana-Champaign; Celia Mathews Elliott, University of Illinois Urbana-Champaign; John S Popovics P.E., University of Illinois Urbana-Champaign; S. Lance Cooper, University of Illinois Urbana-Champaign; Julie L Zilles, University of Illinois Urbana-Champaign

Tagged Topics

Diversity, NSF Grantees Poster Session

, “Technical Communication Instruction in Engineering Schools: A Survey of Top- Ranked U.S. and Canadian Programs,” J. Bus. Tech. Commun., vol. 18, no. 4, pp. 452–490, 2004.[5] J. Y. Yoritomo et al., “Examining engineering writing instruction at a large research university through the lens of writing studies,” Proc. 2018 ASEE Conf. Expo., pp. 1–22, 2018.[6] J. R. Gallagher et al., “A collaborative longitudinal design for supporting writing pedagogies of STEM faculty,” Tech. Commun. Q., vol. 29, no. 4, pp. 411–426, Oct. 2020, doi: 10.1080/10572252.2020.1713405.[7] J. Monroe, Ed., Local knowledges, local practices: Writing in the disciplines at Cornell. Pittsburgh, PA: University of Pittsburgh Press, 2006.[8] J. Monroe, “Writing and

Conference Session

Faculty Development Division (FDD) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

James Canino, Purdue University; Steve France, Purdue University; Ruth Wertz, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

faculty across campus. This is where weuncovered the true paradox embroiled in connecting with our community. For example, we set upa meeting with a senior-level C/P faculty-member with first-hand knowledge of the promotionprocess for C/P faculty at the university level. On the whole, our conversation was valuable inaffirming that we were at least asking the right questions. However, when we expressed our lackof clarity around the process for promotion, the first response was to send us back to ourdepartments for examples and written expectations. Our departments did not have examples andthe written expectations were vague so we continued the conversation as follows. Q: “Can you tell us something about what a successful promotion package

Collection

2023 ASEE GSW

Authors

Luis Hernandez; Hua Li; Oscar Garcia

have an effective reaction to the oil spillcontingency. References1. W. Gong-xing, Z. Jin, W. Lei and Q. Zai-bai, "Design of the Intelligence Motion Control System for the High- Speed USV," 2009 Second International Conference on Intelligent Computation Technology and Automation, 2009, pp. 50-53, doi: 10.1109/ICICTA.2009.480.2. G. Wu, H. Sun, J. Zou and L. Wan, "The basic motion control strategy for the water-jet-propelled USV," 2009 International Conference on Mechatronics and Automation, 2009, pp. 611-616, doi: 10.1109/ICMA.2009.5245049.3. Jiang Zhao, Weisheng Yan, Jian Gao and Shuwei Shi, "Design and implementation of the control system for unmanned surface vehicle

Collection

2024 ASEE-GSW

Authors

Ryan McGuire, University of New Mexico; Tariq Khraishi, University of New Mexico

13References[1] L. Wang, Q. Liu and S. Shen, "Effects of void-crack interac�on and void distribu�n on crack propaga�on in single crystal silicon," Engineering Fracture Mechanics, vol. 146, pp. 56-66, 2015.[2] M. Pushkareva, J. Adrien, E. Maire, J. Seguardo, J. Llorca and A. Weck, "Three-dimensional inves�ga�on of grain orienta�on effects on void growth in commercially pure �tanium," Materials Science and Engineering: A, vol. 671, pp. 221-232, 2016.[3] M. Pushkareva, F. Sket, J. Segurado, J. Llorca, M. Yandouzi and A. Weck, "Effect of grain orienta�on and local strains on void growth and coalescence in �tanium," Materials Science and Engineering: A, vol. 760, pp. 258-266, 2019.[4] T. Yao, Z. Deng, K. Zhang and S. Li, "A method to predict

Collection

2024 South East Section Meeting

Authors

Adeel Khalid, Kennesaw State University

feasible, bring industry folks to your classroom to present and do Q & A; always leave time for Q & A. Ensure the industry person describes their path to where they are.”The leadership mindset carries to a classroom and reflects one’s ability to inspire the nextgeneration of leaders. A good academic leader should set high values and standards for studentsto aspire to. One leader argued: “Leadership mindset in a group-based task; Excellence, wisdom and inclusiveness.”Lastly, a fundamental quality of a leader is the willingness to listen. This quality translates wellto a classroom. Listening and responding to student questions can open the room up for morediscussions and flow of ideas

Collection

2024 South East Section Meeting

Authors

Xiang Zhao, Alabama A&M University; Showkat Chowdhury, Alabama A&M University; Tamara Chowdhury, Alabama A&M University

midterm assessments have been conducted to monitor the students’ progress andperformance, followed by an immediate adjustment of the instructor’s intervention as needed.For example, from the tests, class discussion, and midterm exam, students in CS405demonstrated weaker understanding on some concepts and skills such as using arithmeticexpressions and selection statements in shell scripts and vi editor in supercomputer environment.The instructor added in-class lab times to reinforce the related concepts and office hours afterclass for Q&A. In addition, the data on student project completion rate, exit survey and finalexam were collected to evaluate and assess the outcomes of the adopted pedagogies. The pilotstudy results are presented in the

Collection

2024 ASEE North Central Section Conference

Authors

Elin Jensen, Lawrence Technological University

Non-Learning Deep Learning New concepts and cross links XI Absent - - - - -The statistical analysis presented in the following section is for the purpose of visualizing trends,only. The results may not be representative of a larger study group. Future work will includerepetition and validation. Figure 5 shows probability density functions for the mind map scoresassuming that the mind map scores can be represented by a theoretical normal distribution. Themind map score is a positive value. Both Q-Q tests and Chi-tests indicate that the (limited) datasets can be represented by either a normal or lognormal distribution. The addition of data fromfuture semesters will be used to

Collection

2024 ASEE North Central Section Conference

Authors

John William Lynch, University of Cincinnati; Sheryl A. Sorby, University of Cincinnati; Betsy M. Aller, Western Michigan University; Teri J Murphy, University of Cincinnati

Tagged Topics

Diversity

. Reviewers were offered a comment box area where theycould elaborate on why they decided on specific scores for each question.Table 1. Working version of Communication Task Rubric distributed to reviewers Q. # General Specific details for question Description 1. Overall design • “Big picture” of robot design project is shown. project and goals • Problems to be solved are provided. identified. 2. Purpose / task of • Robot’s specific goals / tasks to be accomplished are identified. the robot provided.• Precise tasks to perform are clearly described. Proceedings of the 2024 ASEE North Central Section Conference Copyright @2024

Collection

2024 ASEE North Central Section Conference

Authors

Ethan O'Neill, Geneva College; Christopher Charles Jobes P.E., Geneva College

4 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering EducationThe rest of the variables used in the analysis of the steering geometry are presented in Figure 2, acomplete diagram of steering components and their associated geometry. Where: x = steering arm length y = tie rod length p = rack casing length q = lateral travel of rack d = distance between front axis and rack center axis β = Ackerman angleNote: the point of intersection of the two extrapolated steering arm lines must lie on the rear axleto constitute Ackerman steering.Using the variables defined in Figure 2, the following three

Collection

15th Annual First-Year Engineering Experience Conference (FYEE)

Authors

Heather Schwab, The Ohio State University; Peyton OReilly, The Ohio State University; Laine Rumreich, The Ohio State University; Krista M Kecskemety, The Ohio State University

, and Persistence in the Physical Sciences, Technology, Engineering, and Mathematics (pSTEM),” Psychol. Women Q., vol. 41, no. 4, pp. 420–436, Dec. 2017, doi: 10.1177/0361684317720186.[10] “Academic Belonging | Teaching + Learning Lab.” Accessed: Feb. 02, 2024. [Online]. Available: https://tll.mit.edu/teaching-resources/inclusive-classroom/academic-belonging/[11] M. L. Pedler, R. Willis, and J. E. Nieuwoudt, “A sense of belonging at university: student retention, motivation and enjoyment,” J. Furth. High. Educ., vol. 46, no. 3, pp. 397–408, Mar. 2022, doi: 10.1080/0309877X.2021.1955844.[12] A. Gowing, “Peer-peer relationships: A key factor in enhancing school connectedness and belonging,” Educ. Child Psychol., vol. 36

Conference Session

First-Year Programs Division Technical Session 7: Retention & Success

Collection

2024 ASEE Annual Conference & Exposition

Authors

Krystal Corbett Cruse, Louisiana Tech University; Carl Boyet, Louisiana Tech University; James D. Palmer, Louisiana Tech University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FYP)

. Through the lunch, students became acquainted with their discipline-specific facultymentors. These faculty mentors consist of one representative from each engineering disciplinewho eventually would become the SSP students’ academic advisors and have regular check-inswith their students. The lunches offered a casual, non-threatening environment to help buildconnections between students and their mentors. Faculty mentors utilized the lunches to provideshort Q&A sessions with the group describing their discipline along with academic andprofessional opportunities.Throughout the year, social events were planned to provide students with an opportunity to relaxand connect with each other and the grant team. A winter quarter kick-off party was held

Conference Session

Graduate Studies Division (GSD) Technical Session 8: International Perspectives in Graduate Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Siqing Wei, Purdue University at West Lafayette (COE); Moses Olayemi, University of Oklahoma

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies Division (GSD)

Emotional support; peer mentoring and support for Building professional, professional growth social, and cultural capitals Organization Loose and aperiodical Default structure is informal; formal activities are channeled through assigned representatives Shared - Spontaneous Q&A Frequent discussions on Practices and information WhatsApp group, peer sharing in the chat

Conference Session

Materials Division (MATS) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Himani Sharma, Georgia Institute of Technology

Tagged Divisions

Materials Division (MATS)

moderately enhanced their understanding of materials processing. Additionally, as seen inFig 2, majority of students (53.8%) reported feeling positively influenced to some extent by theindustry presentations in terms of their engagement and interest in the course material. A substantialportion of the class (42.3%) indicated that the presentations had a significant positive impact on theirengagement and interest. The impact was also evident through verbal as well as written studentfeedback, one of which read “I learned a lot in a little time about what the companies do”. Figure 2: Survey results to Q2- if industry presentations influenced student engagement and interest in the course material?In response to Q.3, 50% of students acknowledged that

Conference Session

Software Engineering Division (SWED) Technical Session #2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Elise Deitrick, Codio; Maura Lyons, Codio; Joshua Richard Coughlin Stowell Ball, Codio

Tagged Topics

Diversity

Tagged Divisions

Software Engineering Division (SWED)

," Journal of Engineering Education, vol. 110, no. 3, pp. 585-601, 2021.[3] M. Prensky, "Digital natives, digital immigrants part 1," On the Horizon, vol. 9, no. 5, pp. 1-6, 2001.[4] D.H. Smith IV, Q. Hao, C. D. Hundhausen, F. Jagodzinski, J. Myers-Dean, and K. Jaeger, "Towards modeling student engagement with interactive computing textbooks: An empirical study," in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021, pp. 914-920.[5] A. T. Bates, G. Poole, and T. Bates, Effective teaching with technology in higher education: Foundations for success. Jossey-Bass, 2017.[6] J. L. Jensen, T. A. Kummer, and P. D. d. M. Godoy, "Improvements from a flipped classroom may simply be the fruits of

Conference Session

MECH - Technical Session 9: Advanced Mechanical Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rachel Mok, Massachusetts Institute of Technology; Cong Li, Massachusetts Institute of Technology; Benita Comeau, Massachusetts Institute of Technology; Emily Welsh, Massachusetts Institute of Technology; Nicholas Xuanlai Fang, University of Hong Kong; John Liu, Massachusetts Institute of Technology

Tagged Divisions

Mechanical Engineering Division (MECH)

cognitive learning gains be-tween the simulation and paper format groups. The simulation and paper cohorts each consistedof 18 students, when the data is combined across the Spring and Fall semesters.Figure 6: Learner preferences. The statements that learners are prompted to rank in the learnerpreference survey are displayed above each histogram. Learners from both the simulation andpaper cohorts strongly favored the simulation learning format over the paper learning format.5.1 Learner PreferencesThe results for the learner preferences survey are shown in Fig. 6. To examine if there were anypotential bias due to the order in which students completed the formats, we first conducted nor-mality checks using the Shapiro-Wilk test (αSW = 0.05) and Q-Q

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Maimuna Begum Kali, Florida International University; Syed Ali Kamal, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. K. Flatt, “A suffering generation: Six factors contributing to the mental health crisis inNorth American higher education.,” Coll. Q., vol. 16, no. 1, pp. 1–17, 2013, [Online]. Available:https://files.eric.ed.gov/fulltext/EJ1016492.pdf.[2] S. K. Lipson et al., “Trends in college student mental health and help-seeking byrace/ethnicity: Findings from the national healthy minds study, 2013–2021,” J. Affect. Disord.,vol. 306, pp. 138–147, 2022, doi: 10.1016/j.jad.2022.03.038.[3] G. Boyraz, R. Granda, C. N. Baker, L. L. Tidwell, and J. B. Waits, “Posttraumatic stress,effort regulation, and academic outcomes among college students: A longitudinal

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jason Morphew, Purdue University; Amirreza Mehrabi, Purdue Engineering Education; Ben Van Dusen, Iowa State University of Science and Technology; Jayson Nissen

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

estimate student proficiency, CDMsuse latent classes to classify students by their mastery of underlying skills [40,42,43]. Skills cutacross content areas and multiple skills may be needed to correctly solve an item. CDMs areclassification models that aim to classify a student’s skill mastery for predetermined skillsidentified by content experts (See Table 1 for definitions). The skills require to correctly answer aquestion are coded dichotomously within matrix called the Q-matrix, which is used by DCMs toestimate mastery. While there are many CDMs, the simplest is the Deterministic Inputs, Noisy"And" gate (DINA) model. DINA is a crucial cognitive diagnostic tool to effectively estimate skillmastery, such as proficiency in applying vectors in

Conference Session

ELOS Technical Session 1 - Fluids, Wind, and Flow

Collection

2024 ASEE Annual Conference & Exposition

Authors

Blake Everett Johnson, University of Illinois at Urbana - Champaign

Tagged Divisions

Experimentation and Laboratory-Oriented Studies Division (DELOS)

liquid (usually water) emitting at a particular flow rate Q, initial diameter d, andangle of inclination θ, flowing steadily into an atmosphere of air with a trajectory determinedexclusively by the action of gravity g, giving it a reasonably predictable path. Naturally, a fountainshould make excellent inspiration for a new laboratory exercise to both the most- and least-stereotypical engineering students.The premise for this laboratory exercise is that a team of Mechanical Engineers have been hiredto create a system of fountains for display at an amusement park. They must design a pump-drivenpipe network that operates two fountains with distinct performance goals. Fountain A,diagrammed in Figure 1, is nearly vertical and must support a ball at a

Conference Session

Engineering Libraries Division (ELD) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Eric Prosser, Arizona State University

Tagged Divisions

Engineering Libraries Division (ELD)

: Using qualitative data analysis of chat reference transcripts to assess and improve services,” J. Libr. Inf. Serv. Distance Learn., vol. 11, no. 1–2, pp. 25–36, Jan. 2017, doi: 10.1080/1533290X.2016.1223965.[5] S. Harlow, “Beyond reference data: A qualitative analysis of nursing library chats to improve research health science services,” Evid. Based Libr. Inf. Pract., vol. 16, no. 1, pp. 46–59, Mar. 2021, doi: 10.18438/eblip29828.[6] R. K. Kampa and J. Gouda, “Evaluating the virtual reference services in a university library,” Internet Ref. Serv. Q., vol. 27, no. 3, pp. 149–157, Jul. 2023, doi: 10.1080/10875301.2023.2207565.[7] D. Skaggs, “‘Can you come tell people to be quiet?’: Analyzing chat questions from on- campus and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 26

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hye Yeon Lee, Georgia Institute of Technology; Joseph M. LeDoux, Georgia Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

. Retrieved from https://peer.asee.org/37730Nind, M., & Lewthwaite, S. (2018). Methods that teach: developing pedagogic research methods, developing pedagogy. International Journal of Research & Method in Education, 41(4), 398-410. https://doi.org/10.1080/1743727X.2018.1427057Patton, M. Q. (1999). Enhancing the quality and credibility of qualitative analysis. Health Services Research, 34, 1189-1209. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1089059Rae, D., & Melton, D. E. (2017). Developing an entrepreneurial mindset in US engineering education: an international view of the KEEN project. The Journal of Engineering Entrepreneurship, 7(3), 1-17. https

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bhuvaneswari Gopal, University of Nebraska, Lincoln

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

.[14] L. Porter, D. Bouvier, Q. Cutts, S. Grissom, C. Lee, R. McCartney, D. Zingaro and B. Simon, “ A multi-institutional study of peer instruction in introductory computing.”, in Proceedings of the 47th ACM Technical Symposium on Computing Science Education, Feb. 2016, pp. 358-363.[15] L. Porter, C.B. Lee, B. Simon, Q. Cutts, and D. Zingaro, D., “Experience report: a multi- classroom report on the value of peer instruction.”, in Proceedings of the 16th annual joint conference on Innovation and technology in computer science education, Jun. 2011, pp. 138-142.[16] L. Porter, C.B. Lee, B. Simon, and D. Zingaro, D., “Peer instruction: Do students really learn from peer discussion in computing?.”, in Proceedings of the

Conference Session

Transformative Learning in STEM: Accessibility, Social Impact, and Inclusivity in Higher Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

D. C. Beardmore, University of Colorado Boulder; Angela R Bielefeldt, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

of disabilities and chronic illnesses in higher education. UCL Press, 2020. [Online]. Available: https://ebookcentral.proquest.com/lib/ucb/detail.action?docID=6358294[3] D. Goodley, R. Lawthom, K. Liddiard, and K. Runswick-Cole, “Provocations for Critical Disability Studies,” Disabil. Soc., vol. 34, no. 6, pp. 972–997, Jul. 2019, doi: 10.1080/09687599.2019.1566889.[4] R. Galvin, “The Making of the Disabled Identity: A Linguistic Analysis of Marginalisation,” Disabil. Stud. Q., vol. 23, no. 2, Apr. 2003, doi: 10.18061/dsq.v23i2.421.[5] K. Muzata, “Terminological Abuse versus Inclusion: An Analysis of Selected Terms Used to Describe Persons with Disabilities in Luvale,” vol. 3, pp. 1–32, Jun. 2019.[6] M. E. Ziegler

Collection

2024 ASEE North East Section

Authors

Asif Ahmed, State University of New York, Polytechnic Institute; Ram Mohan Gubbala, State University of New York, Polytechnic Institute

property of soil for enabling water to flow via soil is referred to as soilpermeability. This is a critical aspect for constructing the structures that come into touch withwater could storm the flow of water in soil occurs through a length of empty spaces or poreswater flows along a curving course rather than a straight line [10]. The following equation (1) isused for calculating soil permeability for the Android application:𝑘 = 𝑞𝐿/𝐴ℎ (1)Here, k is the coefficient of permeability, q is discharged water, L is the length of the specimen,A is the cross-sectional area of the specimen and H is constant head causing flow.The value of the permeability coefficient is affected by the size of the particle and other

Collection

2024 South East Section Meeting

Authors

Stephanie Laughton, The Citadel; Timothy A Wood, The Citadel

instruction?,” PLoS One, vol. 10, no. 9, pp. 1–19, 2015, doi: 10.1371/journal.pone.0137446.[45] O. Popescu, L. C. Chezan, V. M. Jovanovic, and O. M. Ayala, “The use of polleverywhere in engineering technology classes to student stimulate critical thinking and motivation,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 122nd ASEE, no. 122nd ASEE Annual Conference and Exposition: Making Value for Society, 2015.[46] F. V. Kowalski, S. E. Kowalski, and T. Q. Gardner, “Using mixed mobile computing devices for real-time formative assessment,” ASEE Annu. Conf. Expo. Conf. Proc., 2013, doi: 10.18260/1-2-- 22713.[47] L. D. Nguyen, R. O’Neill, and S. J. Komisar, “Using poll app to improve active learning in an

Collection

2024 South East Section Meeting

Authors

Jennifer S. Brown, Clemson University; Marshal Fasika Rice, Clemson University; Karen A High, Clemson University

Tagged Topics

Diversity

Annual Conference & Exposition Proceedings, Honolulu, Hawaii: ASEE Conferences, Jun. 2007, p. 12.430.1-12.430.19. doi: 10.18260/1-2--2302.[3] A. Haverkamp, M. Bothwell, D. Montfort, and Q.-L. Driskill, “Calling for a paradigm shift in the study of gender in engineering education,” Stud. Eng. Educ., vol. 1, no. 2, pp. 55–70, Feb. 2021, doi: 10.21061/see.34.[4] S. A. Male, A. Gardner, E. Figueroa, and D. Bennett, “Investigation of students’ experiences of gendered cultures in engineering workplaces,” Eur. J. Eng. Educ., vol. 43, no. 3, pp. 360–377, May 2018, doi: 10.1080/03043797.2017.1397604.[5] U. Nguyen, T. Russo‐Tait, C. Riegle‐Crumb, and K. Doerr, “Changing the gendered status quo in engineering? The encouraging and

Collection

2024 ASEE North Central Section Conference

Authors

Nicholas Brown, Western Michigan University; Johan Fanas Rojas, Western Michigan University; Alyssa K. Moon, Western Michigan University; Ali Alhawiti, Western Michigan University; Pritesh Yashaswi Patil, Western Michigan University; Parth Kadav, Western Michigan University; Kira Hamelink, Western Michigan University; Wendy R. Swalla, Western Michigan University; Zachary D. Asher, Western Michigan University

- Final Project Q&A Physical Vehicle Control Example and Vehicle Integration Applying ISO 26262 Lab 13 walk-through EEAV Lab Student’s Final Project Reports and Lecture 14 Chapter 5 - AV system - Presentations Final Algorithms Test Run Autonomous Vehicle Operation Final GitHub and LinkedIn Profile Capstone Problem

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sherri M. Youssef, The Ohio State University; Amanda Marie Singer, The Ohio State University; Carter James Huber, The Ohio State University; Rachel Louis Kajfez, The Ohio State University; Krista M Kecskemety, The Ohio State University

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

indicated negativeresponses to stress.3.2 Indirect Assessment AnalysisThe 7-point Likert-type scale data from each of the indirect assessments were extracted fromQualtrics and cleaned to eliminate participants who did not complete the ratings across all scaleitems. Indirect assessment data from 103 students in the 2021-2022 cohort and 127 studentsbelonging to the 2022-2023 cohort were included for analysis.Upon cleaning the data, averages were computed for each of the Curiosity, Connections, andCreating Value constructs identified from prior work [21]. Construct averages were computed perparticipant following the scoring instructions defined by Kashdan et al. [27]. Q-Q plots for thepre- and post-data of each construct for both cohorts were