Collection

2025 ASEE -GSW Annual Conference

Authors

Oliver Cole Harrison, Wichita State University; Adam Carlton Lynch, Wichita State University; Ridge Daniel Towner, Wichita State University

. Craven, F. W., & Slatter, R. R. (1988). An overview of advanced manufacturing technology. Applied ergonomics, 19(1), 9-16. 3. Vichare, P., Nassehi, A., Flynn, J. M., & Newman, S. T. (2018). Through life machine tool capability modelling. Procedia Manufacturing, 16, 171-178. 4. Adeleke, A. K., Montero, D. J. P., Olu-lawal, K. A., & Olajiga, O. K. (2024). Statistical techniques in precision metrology, applications and best practices. Engineering Science & Technology Journal, 5(3), 888-900. 5. Hartikainen, S., Rintala, H., Pylväs, L., & Nokelainen, P. (2019). The concept of active learning and the measurement of learning outcomes: A review of research in engineering higher education

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Preston K Sellards, Marshall University; Mathew Allen, Marshall University; Pingping Zhu, Marshall University; Ben Taylor, Marshall University

wildfires on the monitoring of said wildfires. 7Bibliography[1] H. An, J. Gan, and S. Cho, “Assessing Climate Change Impacts on Wildfire Risk in the United States,” Forests,vol. 6, no. 12, pp. 3197–3211, Sep. 2015, doi: 10.3390/f6093197.[2] A. Mohapatra and T. Trinh, “Early Wildfire Detection Technologies in Practice—A Review,” Sustainability, vol.14, no. 19, p. 12270, Sep. 2022, doi: 10.3390/su141912270.[3] J. D. Coop, S. A. Parks, S. R. McClernan, and L. M. Holsinger, “Influences of Prior Wildfires on VegetationResponse to Subsequent Fire in a Reburned Southwestern Landscape,” Ecological Applications, vol. 26, no. 2, pp.346–354, Mar. 2016, doi

Collection

2025 ASEE -GSW Annual Conference

Authors

Chinedu Okonkwo, The University of Texas at San Antonio; Roy Uzoma Lan; Ibukun Gabriel Awolusi, The University of Texas at San Antonio; Jiannan Cai

Tagged Topics

Diversity

The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 10 AcknowledgmentWe would like to acknowledge the Klesse College of Engineering and Integrated Design (KCEID)and the Office of Sustainability at The University of Texas at San Antonio (UTSA) for supportingthis project through the KCEID Incentive Opportunity Award. Any opinions, findings, conclusions,or recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of UTSA. ReferencesAbioye, S. O., Oyedele, L

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

Megan Elizabeth Batchelor, Mercer University; Chandan Roy, Mercer University

Tagged Topics

Student Papers

. Table 2 summarizes the results from the forced convection experiments. Table 2. Forced convection results. Airspeed Airspeed Base Ambient Thermal Power Input, before fins after fins Temperature Temperature Resistance, Q [W] [m/s] [m/s] Tb [°C] T∞ [°C] R [K/W] 15.02 2 0.5 50.0 22.0 1.86 17.21 2.5 0.9 50.3 21.5 1.67 23.16 3 1.2 49.7 20.7 1.25 23.80 3.5

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

M. Hassan Tanveer, Kennesaw State University; Rizwan Patan, Kennesaw State University; Carrington Chun, Kennesaw State University; Razvan Cristian Voicu, Kennesaw State University; Adeel Khalid, Kennesaw State University

Tagged Topics

Professional Papers

thedata. Anomaly scores are computed based on the number of splits required to isolate a data point. E(x)Mathematically, the anomaly score s(x) for a data point x is calculated as: s(x) = 2− c(n) , whereE(x) is the average path length for x, and c(n) is the average path length of a randomly selectedpoint in a sample of size n.Predictive Analytics: AI models like Long Short-Term Memory (LSTM) networks forecast futuresoil conditions. LSTMs are a type of recurrent neural network (RNN) that can learn long-termdependencies. The LSTM network uses gates to control the flow of information. The update rulefor the LSTM cell state Ct at time t is given by

Conference Session

Track 3: Technical Session 3: Work-in-Progress: Development of an HBCU/Research 1 Collaborative to Increase African American Semiconductor Manufacturing Researchers

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Laura Sams Haynes, Georgia Institute of Technology; Kinnis Gosha, Morehouse College; Talia Capozzoli Kessler, Georgia Institute of Technology; R. Christian Ford, Georgia Institute of Technology; Whitney L Nelson

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

grant funding or industry partnerships.Dr. Kinnis Gosha, Morehouse College Dr. Kinnis Gosha (Go-Shay) is an Assistant Professor in the Department of Computer Science and Director of the Culturally Relevant Computer Lab at Morehouse College. Dr. Goshaˆa C™s research interests include conversational agents, social media data analytMrs. Talia Capozzoli Kessler, Georgia Institute of Technology Talia Kessler, MSPP is a research associate at The Center for Education Integrating Science, Mathematics, and Computing (CEISMC) at Georgia Tech. As a research associate, she works on research and evaluation projects centering on K-12 STEM education. She has a Master’s degree in Public Policy from the Georgia Tech and is currently

Collection

2025 ASEE -GSW Annual Conference

Authors

Alexander Hernandez, West Texas A&M University; Sanjoy Bhattacharia, West Texas A&M University; Sarah Petters, University of California, Riverside; Markus Petters, University of California, Riverside

Tagged Topics

Diversity

diverse earth science learners. Journal of Geoscience Education, 65(4), 407–415.2. Miller, A. J., Brennan, K. P., Mignani, C., Wieder, J., David, R. O., and Borduas-Dedekind, N. Development of the drop Freezing Ice Nuclei Counter (FINC), intercomparison of droplet freezing techniques, and use of soluble lignin as an atmospheric ice nucleation standard. Atmospheric Measurement Techniques., 14, 3131−3151, 2021.3. Mahant, S., Yadav, S., Gilbert, C., Kjærgaard, E. R., Jensen, M. M., Kessler, T., Bilde, M., & Petters, M. D. (2023). An open-hardware community ice nucleation cold stage for research and teaching. HardwareX, 16.4. Hiranuma, N., Augustin-Bauditz, S., Bingemer, H., Budke, C., Curtius, J., Danielczok, A., Diehl, K

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Lynn Dudash, University of Mount Union

Paper ID #49612Implementing a Flipped Learning Approach In Two Engineering CoursesDr. Lynn Dudash, University of Mount Union ©American Society for Engineering Education, 2025 WIP: Implementing a Flipped Learning Approach in Two Engineering CoursesIntroduction The flipped learning approach is an innovative teaching technique that has beenimplemented in many university level engineering courses over the past 15 years. Whileelements of the flipped teaching method have been used since the late 1990’s, two high schoolchemistry teachers, Jonathan Bergmann and Aaron Sams, are often credited

Conference Session

CANCELLED: Track 4: Technical Session 2: Examining Gender Differences in Engineering Students' Reflections on Combating Systemic Racism

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Sakhi Aggrawal, Purdue University at West Lafayette (PPI); Aparajita Jaiswal, Purdue University at West Lafayette (PPI); Gaurav Nanda, Purdue University at West Lafayette (COE); Saloni Parkar

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

Depoliticization and Meritocracy Hinder Engineers’ Ability to Think About Social Injustices,” in Engineering Education for Social Justice: Critical Explorations and Opportunities, J. Lucena, Ed., Dordrecht: Springer Netherlands, 2013, pp. 67–84. doi: 10.1007/978-94-007-6350-0_4.[8] A. Jaiswal, G. Nanda, and M. Sapkota, “Building a Fairer Future: Integrating Social Justice in the Engineering Curriculum,” in 2024 IEEE Frontiers in Education Conference (FIE), Washington, DC, USA: IEEE, Oct. 2024.[9] S. L. Bem, “Gender schema theory: A cognitive account of sex typing,” Psychol. Rev., vol. 88, no. 4, pp. 354–364, 1981, doi: 10.1037/0033-295X.88.4.354.[10] S. J. Ceci and W. M. Williams, “Sex Differences in Math-Intensive Fields,” Curr. Dir

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Mazen I. Hussein, Tennessee Technological University

Tagged Topics

Professional Papers

growth.In conclusion, introducing Lean Systems tools within the ENGR 1210 course proved to be avaluable approach for helping students analyze their challenges systematically. By continuing toimplement these problem-solving frameworks, alongside targeted support services, the universitycan better equip freshmen to succeed academically and personally.References[1] S. McKay, “Quality Improvement Approaches: Lean for Education,” Carnegie Foundation forthe Advancement of Teaching (Blog/Improvement in Action), 2017.[2] S. Ihsan and O. Khalifa, “Continuous Quality Improvement Strategies in EngineeringCurriculum,” Proceedings of 2nd International Conference on Professional Ethics and Educationin Engineering, Kuala Lumpur, Malaysia, 2011.[3] V. Narulaa, and

Collection

2025 Northeast Section Conference

Authors

Saddam Alkhamaiesh; Peter Cavanugh

infrastructure,” Applied Energy, vol. 270, p. 115147, 2020.engaged educational institutions, industry partners, and labor [16] D. Gallachói, “The impact of NEVI program funding on job creation in the EV sector,” Sustainable Transportation Review, vol. 14, no. 1,unions in designing and implementing training initiatives are pp. 1–15, 2022.better positioned to meet the growing demand for EV [17] M. Brusaglino, F. S. Chen, and Y. Nakamura, “Skills and competenciestechnicians. However, many states continue to face for electric and hybrid vehicle maintenance,” Journal of

Collection

2025 Northeast Section Conference

Authors

Shashi Kiran Chandrappa, Fairfield University; Sidike Paheding, Fairfield University

, formers,” IEEE Transactions on Geoscience and Re- pp. 1–4. mote Sensing, vol. 60, pp. 1–15, 2021. [5] D. E. Rumelhart, G. E. Hinton, and R. J. Williams, [19] A. Jamali, S. K. Roy, D. Hong, B. Lu, and P. Ghamisi, “Learning internal representations by error propaga- “How to learn more? exploring kolmogorov–arnold tion, parallel distributed processing, explorations in the networks for hyperspectral image classification,” Re- microstructure of cognition, ed. de rumelhart and j. mote Sensing, vol. 16, no. 21, 2024, ISSN: 2072-4292. mcclelland. vol. 1. 1986,” Biometrika, vol. 71, no. 599- [Online

Collection

2025 Northeast Section Conference

Authors

SUPARSHYA BABU SUKHAVASI; Thanu Sri Gandham; Susrutha Babu Sukhavasi; Meruva Veera Venkata Bhargav

delay in Peres and URG-based reversible circuits reveals crucial trade-offs between energy efficiency and performance [7]. Peres-based circuits demonstrate lower power consumption and quicker (g) switching times making them well-suited for low-power applications [21]. TABLE 4: COMPARISON OF POWER, DELAY AND PDP POWER DELAY(s) PDP (W)Existing Work[1] 2.082e-05 3.015n 6.27e-24[SISO]Existing Work [1] 2.082e-05 12.34p 25.6e-17[SIPO]Existing Work [2] 2.259e-05 __ __[SISO

Conference Session

Track 1: Technical Session 2: Reflective Teaching Practices for Equity-Minded Engineering Instructors

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Jay Mann, University of Illinois Urbana-Champaign; Ashleigh Wright, University of Illinois Urbana-Champaign; Ellen Wang Althaus, University of Illinois at Urbana - Champaign; Wayne L Chang, University of Illinois Urbana-Champaign; Ali Ansari, University of Illinois at Urbana - Champaign; Caroline Cvetkovic, University of Illinois at Urbana - Champaign; Ramez Hajj, University of Illinois at Urbana - Champaign; Holly M Golecki, University of Illinois at Urbana - Champaign

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

State University (Ph.D.).Ellen Wang Althaus, University of Illinois at Urbana - Champaign Ellen Wang Althaus, PhD (she/her) is a collaborative and innovative leader forging new initiatives and building alliances to foster diversity, equity, and inclusion (DEI) in science, technology, engineering, and mathematics (STEM) disciplines. In her current role as Assistant Dean for Strategic Diversity, Equity, and Inclusion Initiatives in the Grainger College of Engineering at the University of Illinois Urbana-Champaign she • Leads the strategy enhancing the Grainger College of Engineering (GCOE)’s commitment to diversity, equity, inclusion, and access. • Develops robust structures to support faculty and staff appropriately

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Ethan Scott Stevenson, Marshall University; Jay Cook, Marshall University; Trevor Bihl, Marshall University

Tagged Topics

Diversity

-2933, 2018.[2] F. Jamil, "On the electricity shortage, price and electricity theft nexus," Energy Policy, pp. 267-272, 2013.[3] I. N. Kessides, "Chaos in power: Pakistan's electricity crisis.," Energy Policy, vol. 55, pp. 271-285, 2013.[4] A. Tanveer, "Non-technical loss analysis and prevention using smart meters," Renewable and Sustainable Energy Reviews, pp. 573-589, 2017.[5] T. Bihl and A. and Zobaa, "Data-mining methods for electricity theft detection.," in Big Data Analytics in Future Power Systems, CRC Press, 2018, pp. 107-124.[6] T. Abdelhamid, "Six Sigma in lean construction systems: opportunities and challenges," Proceedings of the 11th Annual Conference for Lean Construction, pp. 22-24, 2003.[7] T. J. Bihl and S

Collection

2025 ASEE -GSW Annual Conference

Authors

Roy Uzoma Lan; Chinedu Okonkwo, The University of Texas at San Antonio; Ibukun Gabriel Awolusi, The University of Texas at San Antonio; Jiannan Cai

Sustainability at The University of Texas at San Antonio (UTSA) for supportingthis project through the KCEID Incentive Opportunity Award. We are also grateful to the EarthenConstruction Initiative (ECI) and the entire team for their support, particularly for providing thematerials used in this study. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of UTSA. ReferencesAbraham, Y. S. (2020). Importance of Active Learning in an Undergraduate Course in Construction Scheduling. ASEE Virtual Conference.Arik, S., & Yilmaz, M. (2020). The Effect of Constructivist Learning Approach and Active Learning on

Collection

2025 Northeast Section Conference

Authors

Dinh Cuong Nguyen; Gregory Lovisolo; Dan Tenney

predict employee attrition,”support to employees regularly working overtime could Decis. Sci. Lett., vol. 13, no. 1, pp. 1–18, December 2024.effectively lower attrition risks. The key insights from LIME [2] E. A. Khan and S. M. H. Khan, “Factors affecting employee attritionand ICE highlight the importance of personalized retention and predictive modelling using IBM HR data,” J. Comput. Theor.strategies, allowing HR to address individual employee needs Nanosci., vol. 16, no. 8, pp. 3379–3383, January 2019.more effectively based on specific factors identified through [3] F. O. Usman, N. L. Ndubuisi, C. V. Ibeh, E. R. Daraojimba, C. A

Conference Session

Track 6: Technical Session 5: Development of a measure of intersectional socioeconomic inequality that extends beyond income

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Justin Charles Major, Rowan University; Allison Godwin, Cornell University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

influenced by. Like individual socioeconomics,these characteristics reflect hierarchical social and economic ranking amongst people. Importantly,they reflect Keynes (1936) argument that socioeconomics are group mentalities that organizepeople’s positions amongst society. Keynes (1936) illustrated that individuals with similar incomeslive together (household) or near one another (neighborhood/school) and likely have a similaroccupation. Given these features, we consider the following relational socioeconomic factors:1. Family/household income, occupation, and education are representations of the total, combinatory income(s), prestige, or educational status of the household. Household socioeconomic status has also been inferred based on what

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

Spencer Matthew Pollard, California State University, Chico; Abbas Attarwala, California State University, Chico; Jaime Raigoza, California State University, Chico

Tagged Topics

Student Papers

-source materials so we may construct the activity ourselves.References[1] J. K. Perron, C. DeLeone, S. Sharif, T. Carter, J. M. Grossman, G. Passante, and J. Sack, “Quantum Undergraduate Education and Scientific Training,” 2021. [Online]. Available: https://arxiv.org/abs/2109.13850[2] A. Asfaw, A. Blais, K. R. Brown, J. Candelaria, C. Cantwell, L. D. Carr, J. Combes, D. M. Debroy, J. M. Donohue, S. E. Economou, E. Edwards, M. F. J. Fox, S. M. Girvin, A. Ho, H. M. Hurst, Z. Jacob, B. R. Johnson, E. Johnston-Halperin, R. Joynt, E. Kapit, J. Klein-Seetharaman, M. Laforest, H. J. Lewandowski, T. W. Lynn, C. R. H. McRae, C. Merzbacher, S. Michalakis, P. Narang, W. D. Oliver, J. Palsberg, D. P. Pappas, M. G. Raymer, D. J. Reilly, M

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Simon Thomas Ghanat P.E., The Citadel; Mostafa Batouli, The Citadel; William J. Davis P.E., The Citadel; Tess Doeffinger, The Citadel; Anthony Songer, Boise State University

Tagged Topics

Professional Papers

strategies toboost preparation and participation, thereby enhancing learning outcomes across engineeringsubjects.Due to the small sample size, it is challenging to make conclusive recommendations based on theobservations. The results of this study, limited to the data from 2022-2023, should not begeneralized to broader conclusions. Further data collection and analysis over several more courseofferings are necessary to draw informative conclusions. Future studies should encompassdifferent courses with larger sample sizes. Engineering faculty can create a more engaging andeffective learning environment in their courses by incorporating the strategy used in this study.References[1] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Andrea Arce-Trigatti, Tennessee Tech University; Pedro E. Arce, Tennessee Technological University; Robby Sanders, Tennessee Technological University

Tagged Topics

Professional Papers

. “The renaissance foundry: A powerful learning and thinking system to develop the 21st century engineer,” Critical Conversations in Higher Education, 1(2), 2015, 176-202. 6. V. Matthew, S. Lipkin-Moore, P. E. Arce, A. Arce-Trigatti, N. Lavoine, L. Lucia, E. Selvi, M. Eggermont, M. Tiryakioglu, J. Hall, R. Edelen, and J. Plumblee. “A Roadmap for the Design and Implementation of Communities of Practice for Faculty Development,” Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 2022, https://peer.asee.org/40564 7. K. Pabody, C. Wilson, A. Arce-Trigatti, P. E. Arce, S. H. Buer, A. Haynes, R. Chitiyo, J. R. Sanders, and T. Smith. “The Renaissance Foundry Model and culturally

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Robby Sanders, Tennessee Technological University; Andrea Arce-Trigatti, Tennessee Tech University; Pedro E. Arce, Tennessee Technological University

Tagged Topics

Professional Papers

Engineering Education,” 2022. Retrieved from https://engineeringforoneplanet.org/wp- content/uploads/2022_EOP_Framework_110922.pdf 4. P. E. Arce, J. R. Sanders, A. Arce-Trigatti, L. Loggins, J. Biernacki, M. Geist, J. Pascal, and K. Wiant. “The renaissance foundry: A powerful learning and thinking system to develop the 21st century engineer,” Critical Conversations in Higher Education, 1(2), 2015, 176-202. 5. V. Matthew, S. Lipkin-Moore, P. E. Arce, A. Arce-Trigatti, N. Lavoine, L. Lucia, E. Selvi, M. Eggermont, M. Tiryakioglu, J. Hall, R. Edelen, and J. Plumblee. “A Roadmap for the Design and Implementation of Communities of Practice for Faculty Development,” Paper presented at 2022 ASEE Annual Conference

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Sean Walker, University of South Alabama; Kari J Lippert, University of South Alabama

Tagged Topics

Professional Papers

+( ) 𝐸2 𝑁A confidence interval (𝑧) of 95% is chosen, yielding Z-values of 1.96, with a margin of error (𝐸)of 4%-8%, which corresponds to the 95% confidence interval [13]. The standard deviation (𝜎) isestimated to be 1, given the small population size. After n surveys have been completed, thesample standard deviation (s) will be calculated and a confidence interval for σ will bedetermined to ensure that the correct number of samples are take. N is the total population size ofall the students exposed to the flipped classroom with alternate instructors. Three statisticalmethods of means, materiality, statistical relations, and Cronbach’s Alpha, illustrated in Equation(2), will be used to analyze and understand the results of the survey

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Adam Piper, Mississippi State University; Jenna Johnson, Mississippi State University; Daniel Dunaway, Mississippi State University

Tagged Topics

Professional Papers

evaluations ofteaching, course surveys, or simply teaching evaluations) have been used for assessing teachers’effectiveness in one form or another since the 1920’s. In many cases, though, modernassessment has relied far too heavily on student opinions as though it were a comprehensiveassessment of teaching effectiveness and student learning [2], when in fact, there are numerousapproaches to evaluate teaching more holistically. Other common strategies for teachingevaluation include peer observation (by fellow faculty members), external review (often byexperienced teaching and learning professionals), and self-evaluation. In each case, modernapproaches center on evidence-based evaluation practices [3], and several examples arediscussed herein.The

Collection

2025 Northeast Section Conference

Authors

Julianne Torreno; Nealesh Guha; Mashtura Rahman; Michael Ventouratos; David Lee; Shivansh Sharma; Sunil Dehipawala; Guozhen An; Tak Cheung

Proteins and DNA are Poorly Correlated”, Mol Biol Evol. 2023 Apr 4;40 (4).with the student population. There are about 5 physics majors, [2] L. Teekas, S. Sharma, and N. Vijay, “Terminal regions of a protein are a50 engineering majors, and 500 ET majors in which 20 of them hotspot for low complexity regions and selection”, Open Biol. 2024are considering transition to engineering. None of the Jun;14(6):230439.participants in this report is majoring in physics. In fact, all the [3] B. Leung, unpublished data, Year of 2025 Great Neck

Collection

2025 ASEE -GSW Annual Conference

Authors

Kendra Zagozda, Fort Worth ISD; Roberto Wheelock; Raziye Aghapour, The University of Texas at Arlington; Soulmaz Rahman Mohammadpour, The University of Texas at Arlington; Jaivardhan Sood, The University of Texas at Arlington; Erick C. Jones, The University of Texas at Arlington; Victoria C. P. Chen, The University of Texas at Arlington

Tagged Topics

Diversity

potential, respectively,from ATHENA. The current paper describes the implementation of the DACE process for the Summer2024 project, some findings, and the lesson plans developed by Zagozda to share more broadly to theASEE Community. MethodsAs described in Thomason et al.2, the DACE process provides an approach that middle/high schoolteachers can follow and translate to their classrooms. As a brief summary, DACE consists of thefollowing steps: 1. Calibration of the computer model(s) for the application of interest. 2. Design experiments to organize a set of computer model input parameter settings. 3. Execution of the computer model(s) to generate performance metric outputs. 4

Conference Session

Track 6: Technical Session 1: Gendered Impacts of Code Critiquers on Self-Efficacy in First-Year Engineering Students.

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Mary Benjamin, Michigan Technological University; Laura Albrant, Michigan Technological University; Michelle E Jarvie-Eggart P.E., Michigan Technological University; Leo C. Ureel II, Michigan Technological University; Laura E Brown, Michigan Technological University; Jon Sticklen, Michigan Technological University; AJ Hamlin, Michigan Technological University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

-efficacy, statisticalanalyses were conducted on pre- and post-intervention scores. The focus of the analysis was todetermine whether significant changes occurred in self-efficacy levels after the intervention andwhether these changes differed by gender. Paired t-tests were employed to evaluate within-groupdifferences in self-efficacy over time, while independent t-tests were used to comparegender-based differences in the intervention’s effect. The following sections detail the results ofthese analyses. Gender Factor Pre-intervention Post-interventio t-statistic p-value Mean (SD) n Mean (SD) s Female CPSES 3.71 (1.41) 5.48 (1.15) 4.95 <0.05

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Yousef Sardahi, Marshall University; Asad Salem

users. Proceedings of the 2025 ASEE North Central Section Conference Copyright © 2025, American Society for Engineering EducationAcknowledgmentThis research was funded by the Civil-Military Innovation Institute (CMI2) through Grant #224117.We sincerely thank CMI2 for their generous support and commitment to advancing this project.References [1] R. Orr, R. Pope, T. J. A. Lopes, D. Leyk, S. Blacker, B. S. Bustillo-Aguirre, and J. Knapik, “Soldier load carriage, injuries, rehabilitation and physical conditioning: An international approach,” International Journal of Environmental Research and Public Health, vol. 18, 2021. [2] J. Ramsay, C. L. Hancock, M. P. O’Donovan, and T. Brown, “Soldier-relevant body borne

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Edward Jesse Sizemore III, Marshall University; Trevor Joseph Bihl, Marshall University

paths.References[1] G. Heydt and V. Vittal, "Feeding our profession [power engineering education].," IEEE Power and Energy Magazine, vol. 1, no. 1, pp. 38-45, 2003.[2] I. Opriş, D. Gogoașe Nistoran, S. Costinaş and C. Ionescu, "Rethinking power engineering education for Generation Z.," Computer Applications in Engineering Education, vol. 29, no. 1, pp. 287-305, 2021.[3] H. Chai, J. Ravishankar, S. Krishnan and M. Priestley, "Work-in-Progress: A Holistic Approach to Bridging the Gap between Power Engineering Education and Electric Power Industry," IEEE Global Engineering Education Conference (EDUCON), pp. 2044-2048, 2022.[4] N. Zeybek and E. Saygı, "Gamification in education: Why, where, when, and how?—A systematic review.," Games and

Conference Session

Track 6: Technical Session 6: WIP: Factors Influencing Faculty Pedagogical Decisions around Diversity, Equity, Inclusion, and Justice (DEIJ) in Engineering: A Comparative Case Study

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Avis Carrero, Tufts University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

-policy-and-procedure-manual-appm-2024-2025/[6] ABET, “Big 10+ Universities Deans of Engineering Letter of Support, Diversity, Equity &Inclusion, Mar. 31, 2021.,” 2021. Accessed: Sep. 02, 2024. [Online]. Available:https://www.abet.org/about-abet/diversity-equity-and-inclusion/[7] M. Borrego, J. Froyd, C. Henderson, S. Cutler, and M. Prince, “Influence of EngineeringInstructors’ Teaching and Learning Beliefs on Pedagogies in Engineering Science Courses,”International Journal of Engineering Education, vol. 29, pp. 1456–1471, Jan. 2013.[8] E. A. Canning, K. Muenks, D. J. Green, and M. C. Murphy, “STEM faculty who believeability is fixed have larger racial achievement gaps and inspire less student motivation in theirclasses,” Sci Adv, vol. 5, no