Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Najjiya Almallah, Rutgers, The State University of New Jersey; Mahmoud Al-Quzwini, Stevens Institute of Technology

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

Badaoui, “Application of cyclic spectral analysis to gear damage assessment,” in 2010 Prognostics and System Health Management Conference, PHM ’10, 2010. doi: 10.1109/PHM.2010.5413451.[16] Q. Hao and J. Ren, “Determination of the Mechanical Origination of Wheel-Rail Rolling Noise Based on Spectrum Analysis,” in Proceedings of 2022 6th Asian Conference on Artificial Intelligence Technology, ACAIT 2022, 2022. doi: 10.1109/ACAIT56212.2022.10137976.[17] A. Gani and M. J. E. Salami, “A LabVIEW based data acquisition system for vibration monitoring and analysis,” in 2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering

Conference Session

First-Year Programs Division Technical Session 9: Student Growth & Professionalization

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aparajita Jaiswal, Purdue University ; Brainerd Prince, Plaksha University; Vinayak Krishan Joshi, Plaksha University

Tagged Divisions

First-Year Programs Division (FYP)

significant predictors is as follows:Motivation = 2.866 + 0.229(Enjoyment) - 0.101(Anxiety) - 0.153(Shame)Residuals were examined to assess the assumptions of the regression model. The scatter plot ofobserved vs. predicted values and the plot of residuals vs. predicted values indicated that theassumptions of linearity and homoscedasticity were reasonably met. The histogram and Q-Q plotof the residuals suggested that the residuals were approximately normally distributed, with someminor deviations at the tails. The Durbin-Watson statistic was 2.04, indicating no significantautocorrelation in the residuals. These checks support the appropriateness of the regression modelfor the data.From the figure 3, we can interpret that the Observed vs. Predicted

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ioana A. Badara, Post University; Buket D. Barkana, The University of Akron; Deana A. DiLuggo, University of Bridgeport

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Maintaining Effective Research Teams. IEEEComputer Society.[7] Bernat, A., Teller, P.J., Gates, A., Delgado, N., & Della-Piana, C.K. (2000, July). Structuringthe student research experience. In Proceedings of the 5th Annual SIGCSE/SIGCUE ITiCSEConference on Innovation and Technology in Computer Science Education, pp. 17-20[8] Gates, A. Q., Hug, S., Thiry, H., Aló, R., Beheshti, M., Fernandez, J., & Adjouadi, M. (2011).The Computing Alliance of Hispanic-Serving Institutions. ACM Transactions on ComputingEducation, 11(3), 1–21. doi:10.1145/2037276.2037280[9] Villa, E. Q., Kephart, K., Gates, A. Q., Thiry, H., & Hug, S. (2013). Affinity Research Groupsin practice: Apprenticing students

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Osama Desouky, Texas A&M University at Qatar; Yasser M. Al Hamidi, Texas A&M University at Qatar; Marwan K. Khraisheh, Texas A&M University at Qatar

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

informed by the incorporation of practical scenarios,allowing students to apply theoretical concepts to real-world situations. This integration of theoryand practice is recognized as a key driver for effective engineering education [9]. The emphasison communication and weekly progress meetings aligns with research highlighting the positiveimpact of regular feedback on student performance and understanding [10]. Project 2 then expandson these foundations, incorporating advanced analysis tools, aligning with research suggesting thatexposure to diverse analytical techniques enhances problem-solving proficiency [11]–[13].The work of the "Electra-Q" group, investigating the influence of extreme temperatures, charging,and discharging rates on Li-ion

Conference Session

Student Division Technical Session 2: Career Development and Employability

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jun Zhu; SUN TIEMIN, Beijing Foreign Studies University; jiayao sun; Fangyuan Chai

Tagged Divisions

Student Division (STDT)

. Ge, Y. H., et al. (2018). Does gender discrimination exist in the employment of collegestudents? —Based on the method of virtual matching resumes. Quarterly Journal of Economics,(4), 30-39. Han, P., & Song, H. Q. (2023). Digital economy development, industrial structure upgrading,and employment quality. Business Research, (06), 30-39. Hu, S., Jiang, C., & Zhu, F. (2020). Career preparation and career choice of secondaryvocational students: The mediating role of learning motivation. China Vocational and TechnicalEducation, 20, 68-74. International Labour Organization. (1999). Decent work. Geneva, Switzerland: International Labour Organization. (Report of the Director-General, International Labour Conference, 87th session

Conference Session

DSA Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yiming Zhang, The University of Arizona; Gregory L. Heileman, The University of Arizona; Ahmad Slim, The University of Arizona; Husain Al Yusuf, The University of Arizona

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

| xi = 0, 1 ≤ i ≤ n} can be found, such that wi · xi ≤ S − W and xi ∈ {0, 1}. i=1Optimization AlgorithmIn this section, an optimization algorithm that makes use of 0−1 integer programming is describedto address the OTP problem. Consider that the catalog of the starting school contains p courses,denoted a1 , . . . , ap , and the catalog of the destination school contains q courses, denoted b1 , . . . , bq .Let cr[i] denote the credit hours associated with course i. To determine the set of courses that willbe included in the curriculum at the starting school, a p × 1 binary-valued assignment matrix isdefined as follows, 1; if course

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; Partha Kumar Das, University of Illinois at Urbana - Champaign

Tagged Divisions

Experimentation and Laboratory-Oriented Studies Division (DELOS)

velocity V2 do not have the same valuesince the inlet and outlet pipe diameters are different. If the bulk flow rate Q is known, thevelocities V1 and V2 are easily calculated from the continuity relation: πD12 πD22 (5) Q = V1 = V2 4 4The efficiency η is found to be a function of the flow rate and is therefore not just a constant for agiven pump. Efficiency is an important characteristic of a pump, since, as indicated in Figure 2,the difference 𝑃𝑃𝑖𝑖𝑖𝑖 − 𝑃𝑃𝑜𝑜𝑜𝑜𝑜𝑜 represents power that is lost.Fundamental variables appearing in pump characteristics curves

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emma S Atherton, University of Florida; Elif Akcali, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

participant chose for their poem, and, therefore,some participants did not report their topic. Those responses are coded as undeclared. For theSpring 2023 semester, however, a separate question was included to ensure all participantsreported their topic in a clear manner (see Appendix B.2). Aside from undeclared, the codesfrom the analysis of deterministic inventory modeling in Poem 2 are preliminaries, ABCanalysis, EOQ modeling, and miscellaneous whereas the codes from the analysis of stochasticinventory modeling in Poem 3 are preliminaries, newsvendor, (q,r) policy, and miscellaneous.For participants who chose a topic that did not fall into one of the predetermined categories, theirresponse was tagged to miscellaneous. The miscellaneous reports

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Heena Rathore, Texas State University; Henry Griffith, San Antonio College

Tagged Divisions

Computers in Education Division (COED)

. 53.1.4 Challenge 4The challenge involves performing multiplication on two large numbers, p and q, and subsequentlyfinding the factors of the resultant number. To achieve this, participants are instructed to downloadand employ the yafu tool. The values of p and q are provided as hexadecimal representations. Thestudents were given extra commands such as “yafu.exe “p*q”” to be executed in the commandprompt to perform the multiplication. Afterward, the task entails factorizing the computed numberand identifying the P3 value as the answer. To factorize the number, the command “yafu.exe factor(number)” was used. An additional doc file was given to students for consultation. The decryptedflag was a location to a particular place.3.1.5 Challenge

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahatsham Hayat, University of Nebraska, Lincoln; Sharif Wayne Akil, University of Nebraska, Lincoln; Helen Martinez, University of Nebraska, Lincoln; Bilal Khan, Lehigh University; Mohammad Rashedul Hasan, University of Nebraska, Lincoln

Tagged Topics

Diversity, NSF Grantees Poster Session

, Association for Computational Linguistics, Nov. 2020.[14] J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. Chi, Q. Le, and D. Zhou, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,” Jan. 2023. arXiv:2201.11903 [cs].[15] K. Bhatia, A. Narayan, C. De Sa, and C. R´e, “TART: A plug-and-play Transformer module for task-agnostic reasoning,” June 2023. arXiv:2306.07536 [cs].[16] S. Huang, L. Dong, W. Wang, Y. Hao, S. Singhal, S. Ma, T. Lv, L. Cui, O. K. Mohammed, B. Patra, Q. Liu, K. Aggarwal, Z. Chi, J. Bjorck, V. Chaudhary, S. Som, X. Song, and F. Wei, “Language Is Not All You Need: Aligning Perception with Language Models,” Mar. 2023. arXiv:2302.14045 [cs].[17] J. Wei, M. Bosma, V. Y. Zhao, K. Guu, A

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Carnegie Mellon University; Eesha tur razia babar, University of California, Irvine; Muhsin Menekse, Purdue University, West Lafayette; Ali Alhaddad, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

. 233–243, Oct. 2013, doi: 10.1016/j.compedu.2013.05.012.[6] Y. Chen, Y. Ma, X. Mao, and Q. Li, “Multi-Task Learning for Abstractive and Extractive Summarization,” Data Science and Engineering, vol. 4, no. 1, pp. 14–23, Mar. 2019, doi: 10.1007/s41019-019-0087-7.[7] A. Magooda, M. Elaraby, and D. Litman, “Exploring Multitask Learning for Low-Resource AbstractiveSummarization,” arXiv preprint arXiv:2109.08565, 2021.[8] J. P. Verma and A. Patel, “An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data,” International Journal of Computer Applications, vol. 143, pp. 51–55, 2016.[9] W. Luo and D. Litman, “Summarizing student responses to reflection prompts,” in Proceedings of

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Radana Dvorak, Saint Martin's University; Farzin Bahadori, Saint Martin's University

Tagged Divisions

Computing and Information Technology Division (CIT)

• Hash Functions • Symmetric and Asymmetric Key • Quantum-Safe Cryptography Quantum Information • Density Matrices • Bloch Sphere • Multiple Systems and Reduced StatesIBM • Build your Ciruits Weeks 3 , 5 Hands-on PracticesQuantum • Apply your Gates &6Composer https://quantum.ibm.com/composer • Analyze Q-SphereandSimulatorIBM Labs • Jupyter Lab Weeks 3 - 7 Hands-on Practices • Matplotlib

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

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

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

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lucas J. Wiese, Purdue University ; Alejandra J. Magana, Purdue University

Tagged Divisions

Educational Research and Methods Division (ERM)

–61, Jul. 2019, doi: 10.1145/3330794.[3] R. T. Javed et al., “Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula,” J. Artif. Intell. Res., vol. 73, pp. 933–965, Mar. 2022, doi: 10.1613/jair.1.13550.[4] L. Tuovinen and A. Rohunen, “Teaching AI Ethics to Engineering Students: Reflections on Syllabus Design and Teaching Methods,” 2021.[5] J. Lönngren, “Exploring the discursive construction of ethics in an introductory engineering course,” J. Eng. Educ., vol. 110, no. 1, pp. 44–69, 2021, doi: 10.1002/jee.20367.[6] R. F. Clancy, Q. Zhu, and Philosophy Documentation Center, “Why Should Ethical Behaviors Be the Ultimate Goal of Engineering Ethics Education?,” Bus. Prof

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiuhao Ding, University of Illinois at Urbana - Champaign; Meghana Gopannagari, University of Illinois at Urbana - Champaign; Kang Sun, University of Illinois at Urbana - Champaign; Alan Tao, University of Illinois at Urbana - Champaign; Delu Louis Zhao; Sujit Varadhan, University of Illinois at Urbana - Champaign; Bobbi Lee Battleson Hardy, University of Illinois at Urbana - Champaign; David Dalpiaz, University of Illinois at Urbana - Champaign; Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign; Lawrence Angrave, University of Illinois at Urbana - Champaign; Hongye Liu, University of Illinois at Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)