Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Chuck H. Margraves, University of Tennessee at Chattanooga; KIDAMBI SREENIVAS, University of Tennessee at Chattanooga; Trevor S. Elliott, University of Tennessee at Chattanooga; Lance Isaac Rose, University of Tennessee at Chattanooga

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Paper ID #45650Relating Kinetic Energy Changes to Power Generation in a Mechanical EngineeringWind Turbine LabDr. Chuck H. Margraves, University of Tennessee at Chattanooga Dr. Chuck Margraves is a UC Foundation Associate Professor and Graduate Coordinator of Mechanical Engineering at the University of Tennessee at Chattanooga. His current research focus is on STEM Education, particularly in the area of energy sustainability, at the collegiate and high school levels.Prof. KIDAMBI SREENIVAS, University of Tennessee at ChattanoogaTrevor S. Elliott, University of Tennessee at ChattanoogaLance Isaac Rose, University of Tennessee at

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Oguzhan Oruc, The Citadel; Eva Singleton, The Citadel Military College ; Andrew B. Williams, The Citadel; Kevin Skenes, The Citadel

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, certificates in Organizational Leadership and Technical Project Management, and a Bachelor of Science in Business Administration from Strayer University.Dr. Andrew B. Williams, The Citadel Andrew B. Williams, Ph.D. is the Dean of Engineering and the Louis S. LeTellier Chair at The Citadel School of Engineering. Dr. Williams is an alumni of the National Academy of Engineering Frontiers in Engineering Symposium and the National GEM Consortium Ph.D. in Engineering Program. He received both his Ph.D. in Electrical Engineering with an emphasis in AI and his BSEE from the University of Kansas.Dr. Kevin Skenes, The Citadel Kevin Skenes is an associate professor at The Citadel. His research interests include non-destructive

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Li Zhang, The Citadel

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b since using “Add Trendline” cannot Table 1: Record the time for specific heights of the water during an experiment Time (s) Height (cm) 12 11 10 9 8 7 6 5 4 3

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Nilanjana Raychawdhary, Auburn University; Chaohui Ren, Auburn University; Cheryl Seals, Auburn University; Sutanu Bhattacharya

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Diversity, Professional Papers

’ comprehension of NLP, preparing them forfuture developments in the subject and developing the practical skills necessary for their jobs.Keywords: Natural Language Processing (NLP), Undergraduate Education, Interactive Tools, PythonLibraries, Interdisciplinary Case Studies.1 IntroductionThe rapid advancement of digital technology, especially in artificial i ntelligence ( AI), i s s ignificantly re-shaping the landscape of higher education. Traditional lecture-centered teaching is increasingly being sup-plemented by dynamic, technology-enhanced approaches. In today’s education, AI-powered platforms andvirtual learning environments have become essential, leading to a new emphasis on adaptable, personalizedlearning experiences that cater to diverse

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Erin Bosarge, University of South Alabama

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Diversity, Professional Papers

entire MLprocess, fostering computational thinking and problem-solving [18]. Kajiwara et al. employed agamified ML role-playing game, simplifying concepts for high school students [15]. Ethicalconsiderations were integrated through projects like VotestratesML, which explored AI's societalimpacts in democratic contexts [20], and Kong et al.’s collaborative projects addressing fairnessand bias in AI systems [16].3.5 Results for RQ4: Which of the AI4K12 Five Big Ideas frameworks are being included?The AI4K12 Five Big Ideas rubric assessed studies on Perception, Representation & Reasoning,Learning, Natural Interaction, and Societal Impact, scoring from 0 (not addressed) to 4 (thoroughintegration). Results highlighted strengths in Learning

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

Maya Al Shanti, Embry-Riddle Aeronautical University - Daytona Beach; Thiha Myat Thu, Embry-Riddle Aeronautical University - Daytona Beach; Kai Jun Chew, Embry-Riddle Aeronautical University - Daytona Beach

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Diversity, Student Papers

method, even if the answer was incorrect, which indicates a strongemphasis on students’ ability to grasp and apply concepts:“If you show me the process that youhave done, and you do the right process and doing the problem. I will give you 90% of the creditirregardless of if you get the right answer or not.” Additionally, ID1’s grading system wasflexible, allowing for student redemption. According to ID1, poor performance on an initial testcould be offset by improvement on subsequent assessments. This flexibility might encouragecontinuous learning, as students were not penalized heavily for early mistakes and instead aregiven the opportunity to demonstrate growth over the course of the semester: “I make the courseso that hey, you flunk the first

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Simon Thomas Ghanat P.E., The Citadel; Scott Curtis, The Citadel

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Professional Papers

conclusions.Reference[1] Martin, M.J., S.J. Diem, D.M.A. Karwat, E.M. Krieger, C.C. Rittschof, B. Bayon, M.Aghazadeh, O. Asensio, T.J. Zeilkova, and M. Garcia-Cazarin, The climate is changing.Engineering education needs to change as well. Journal of Engineering Education, 111:740-746,2022.[2] Milovanovic, J., T. Shealy, and A. Godwin, Senior engineering students in the USA carrymisconceptions about climate change: Implications for engineering education. Journal ofCleaner Production, 345, 131129, 2022.[3] Sinatra, G.M., and P.R. Pintrich (Eds.), International Conceptual Change. Lawrence Erlbaum,Mahwah, NJ, 2003.[4] P. Molthan-Hill, L. Blaj-Ward, M. F. Mbah, and T. S. Ledley, “Climate Change Education atUniversities: Relevance and Strategies for Every Discipline

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Saeed Rokooei, Mississippi State University; George D Ford P.E., Mississippi State University; Read Allen Robertson, Mississippi State University

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Diversity, Professional Papers

Paper ID #45761A Gender-based Comparative Analysis of Motivations and Challenges in ConstructionEducationDr. Saeed Rokooei, Mississippi State University Saeed Rokooei is an associate professor in the Department of Building Construction Science at Mississippi State University. Dr. Rokooei’s primary research interests include community resilience, engineering education, simulation and serious games, project management methodologies, data analytics, creativity and innovation, and emerging technologies.Mr. George D Ford P.E., Mississippi State University Dr. George Ford P.E. is the Director of Mississippi Stateˆa C™s Building

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

James Righter, The Citadel; Nathan John Washuta P.E., The Citadel; Deirdre D Ragan, Pennsylvania State University

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Professional Papers

studies could also address the impacts of team dynamics such assize, communication and leadership on the application of requirements tools and evolution [18],[19]. These studies would enable further assessment of the impact of QFD on requirementsevolution in capstone product design.References[1] D. G. Ullman, The Mechanical Design Process, 6th ed. Independence, Oregon: David G. Ullman, 2018.[2] G. Pahl and W. Beitz, Engineering Design: A Systematic Approach, 2nd ed. London: Springer, 1995.[3] B. Morkos, S. Joshi, and J. D. Summers, “Investigating the impact of requirements elicitation and evolution on course performance in a pre-capstone design course,” Journal of Engineering Design, vol. 30, no. 4–5, pp. 155–179

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Valmiki Sooklal, Kennesaw State University; Sandip Das, Kennesaw State University

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Professional Papers

. Pallitt and K. Wolff, "Learning to teach STEM disciplines in higher education: A critical review of the literature," Teaching in Higher Education, vol. 24, no. 8, pp. 930-947, 2019.[2] D. Varas, M. Santana, M. Nussbaum, S. Claro and P. Imbarack, "Teachers’ strategies and challenges in teaching 21st century skills: Little common understanding," Thinking Skills and Creativity, vol. 48, p. 101289, 2023.[3] H. Jang, "Identifying 21st century STEM competencies using workplace data," Journal of Science Education and Technology, vol. 25, no. 2, pp. 284-301, 2016.[4] D. Tan, "The Significance of Integrating Engineering Design-Based Instruction in STEM Education," Science Insights Education Frontiers, vol. 24, no. 1, pp. 3827-3829, 2024

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Sultan Al Shafian, Kennesaw State University; Da Hu, Kennesaw State University; Jayhyun Kwon P.E., Kennesaw State University; Adam Kaplan, Kennesaw State University

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a wider range of structural elements and incorporating interactive features likequizzes and feedback would further enhance its educational value. Comparative studies withcontrol groups using traditional learning methods would also help clarify the specific advantagesof AR-based learning in civil engineering education.References[1] ACI, Building code requirements for structural concrete (ACI 318-08) and commentary. American Concrete Institute, 2008. Accessed: Nov. 08, 2024. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=c6yQszMV2- EC&oi=fnd&pg=PT10&dq=Building+Code+Requirements+for+Structural+Concrete+and+ Commentary&ots=nZOlIXZCKL&sig=KMB7MQU6EE9dIpxctdYQvpox8Ws[2] S. A. Sorby

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Fazil T. Najafi, University of Florida; Jack Cuilla, University of Florida

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, investment and technology can reduce these expenses over time,while ash byproducts from combustion are repurposed, further minimizing landfill waste.2.4 Byproducts of BiomassWhen wood-based Biomass is burned, fly ash is the primary byproduct, along withemissions like CO₂, CO, CH₄, NOx, VOCs, PM, and trace gases [25]. Fly ash hassignificant potential as a cement substitute in concrete. Rummen et al. demonstrated thatadding 15% wood-based fly ash (WFA) improves concrete durability and compressivestrength due to pozzolanic reactions forming calcium silicate hydrate (C-S-H) gel, a keystrength component [26]. Similarly, John Zachar's study found that replacing 30% ofcement with fly ash in construction reduced material costs by $23,000 and avoided

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Lionel Hewavitharana, Southern Arkansas University; Mahbub K Ahmed P.E., Southern Arkansas University

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Professional Papers

phases, integrating industry/engineeringstandards at each design step, paying attention to health and safety of the public, maintainingethical standards, and proper documentation of the capstone design process must be criticalcomponents of any capstone design model. Missing or inadequacy of addressing those criticalcomponents may result in negative evaluation by ABET program evaluators (PEV s). Therefore,it is important for any engineering program to adopt a proper capstone model to satisfy ABETprogram assessment requirements.In view of these contexts, this paper discusses the capstone model used by the engineeringprogram at the Southern Arkansas University (SAU). The model has been developed to providean industry level design experience in

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

Daniel Hernandez, The University of Memphis; Ariadna Mendoza, The University of Memphis; Xiaofeng Tan, The University of Memphis; Kathryn Bridson, The University of Memphis; Pegah Farshadmanesh, The University of Memphis

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: Create an initial inventory of specific EdTech (e.g., AutoCAD), rather than broad EdTech categories (e.g., “CAD tools”). o Step 2. Define Educator Selection Criteria: Identify the factors relevant to educators when choosing which tool(s) to try among many potential options. o Step 3. Expand the EdTech Dataset: Gather or supplement data for each EdTech based on the selection criteria (established in Step 2 of Phase 1), ensuring all relevant attributes are captured. Augment the dataset to include comprehensive data for a set of tools (i.e., capturing all significant attributes for each EdTech) in at least one specific EdTech

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

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

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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

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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

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Mazen I. Hussein, Tennessee Technological University

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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

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

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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

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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

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. “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

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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

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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

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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

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Razvan Cristian Voicu, Robotics and Mechatronics Engineering, Kennesaw State University, Marietta, GA; Muhammad Hassan Tanveer, Kennesaw State University; Ayse Tekes, Kennesaw State University

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-human transference system encompasses user inter-action mechanisms, real-time control pathways, parameter sharing between local and cloud AImodels, and an ethical optimization process that integrates user satisfaction and privacy safeguards.This section outlines the principal equations that govern how user inputs and system states flowthrough the AI middleware, how control signals are assigned to local and cloud components, andhow experiential knowledge is updated across different domains.First, let us define the user interactions across multiple modalities, such as text or speech: (m) (m) S(t

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

Faiza Akram, Mississippi State University; Andrew Zheng, Texas A&M University; April Guo-Yue, Mississippi State University; Cooper Medved, Mississippi State University; Claire Johnson, Mississippi State University; Asad Waqar Malik; Samee U Khan, Mississippi State University

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Student Papers

optimal performance. These insights emphasize the importance ofengineering education programs that guide students in understanding how to select and integrateappropriate technologies based on specific application needs. In the long term, programs likeiEDGE will help in reshaping and cultivating a workforce that bridges the theory-practice divideand drives impactful advancements in edge computing and beyond.AcknowledgmentThis research is supported by National Science Foundation grants 2348711. Opinions expressedare those of the author(s) and do not necessarily reflect NSF’s views.References[1] Z. Sun, X. Zhang, T. Wang, and Z. Wang, “Edge computing in Internet of Things: A novelsensing-data reconstruction algorithm under intelligent-migration

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Kari J Lippert, University of South Alabama; Sean Walker, University of South Alabama; Roy Daniel McLeod, University of South Alabama; Sudhanshu Tarale, University of South Alabama; Christine Goldman Robinson, University of South Alabama; Matthew Christopher Monday, University of South Alabama; David Seger, University of South Alabama

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in the Systems Engineering program in the department ofEngineering at the University of South Alabama. The six students that comprise the pilot classhave backgrounds in Computer Science, Artificial Intelligence, Electrical Engineering, CivilEngineering, Process and Control Engineering, and Forensics. Table 1 - Course Structure and ContentWeek Topic Sub-topic(s) Objectives 1 Motivation/Application Vocabulary Student shall be able to distinguish and Readings define the differences between Short Course intelligent digital twin

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

Frederick Rowell, Clemson University; Todd Schweisinger P.E., Clemson University; John R. Wagner P.E., Clemson University

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Student Papers

,assemblies, and drawings for the tracked vehicle.After the team uploaded their product data into Teamcenter, they began working with it in NX tocontinue designing the digital twin. Another significant feature of Teamcenter that the team utilizedin their design process was workflows. A workflow is a collaborative, step-by-step process thatmodels many basic business and design functions. Workflows can route an item for design reviewand approval, oversee the change management process, and track manufacturing and designprocesses. However, for this case study, the team employed a basic workflow that includedassigning a task to either a group or individual user, completing that task by the assigned user(s),and finalizing the workflow. A block diagram of

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Shenghua Wu, University of South Alabama; Min-Wook Kang, University of South Alabama; John Cleary, University of South Alabama; Lisa LaCross, University of South Alabama

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Diversity, Professional Papers

writing In-class activity2.1 Week 1: First In-person Meeting Activity: Setting Up Your Goal2.1.1 Use of MentimeterIn the first in-person class, the course expectations are introduced. A Mentimeter is used to makethe session interactive and engaging. The following questions are asked during the first meeting,allowing students to see their responses in real-time: How are you today? Use one word todescribe how you feel now. How do you rate your current writing skill? (0-100 points). Howmany journal articles (not including conference presentations) have you published so far? Whatare your expectations for this course? Have you used AI (e.g. ChatGPT) in your academic work?Which area(s) do you find challenging when starting to write? How are

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Kimberly T. Luthi, Embry-Riddle Aeronautical University - Worldwide; David Paul Harvie, Embry-Riddle Aeronautical University - Worldwide; John K Wilson, Embry-Riddle Aeronautical University - Worldwide; Monica Surrency, Embry-Riddle Aeronautical University - Worldwide

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non-traditional active military and Veteran student groups.References[1] S. E. Lewis, "Retention and Reform: An Evaluation of Peer-Led Team Learning," Journal of Chemical Education, vol. 88, no. 6, pp. 703-070, 2011.[2] L. Gafney and P. Varma-Nelson, Peer-Led Team Learning Evaluation, Dissemination, and Institutionalization of a College Level Initiative, Springer Science & Business Media, 2008.[3] J. Liou-Mark, A. E. Dreyfuss and L. Younge, "Peer Assisted Learning Workshops in Precalculus: An Approach to Increasing Student Success," Mathematics & Computer Education, vol. 44, no. 3, p. 249, 2010.[4] M. Hernandez-de-Menendez, A. V. Guevara, J. C. T. Martinez, D. H. Alcantara and R. Morales-Mendez, "Active learning in

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

John M Mativo, University of Georgia; Ramana Pidaparti, University of Georgia; Jarron Gravesande, Providence Chrisitian Academy

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Professional Papers

careers.Acknowledgment: The authors thank the U. S. National Science Foundation for sponsoring theresearch through a grant NSF-ITEST-1949493.References[1] S. Lucci, S. M. Musa, and D. Kopec, “Artificial Intelligence in the 21st Century,” pp. 1– 850, 2022, Accessed: Nov. 04, 2024. [Online]. Available: https://www.torrossa.com/en/resources/an/5671176[2] I. Lee, S. Ali, H. Zhang, D. DiPaola, and C. Breazeal, “Developing Middle School Students’ AI Literacy,” in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, Virtual Event USA: ACM, Mar. 2021, pp. 191–197. doi: 10.1145/3408877.3432513.[3] T. Kurz, S. Jayasuriya, K. Swisher, J. Mativo, R. Pidaparti, and D. T. Robinson, “Investigating Changes