Displaying all 13 results
- Conference Session
- Professional Papers
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- 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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(ψ) u N y˙ E = RB V = s(ψ)c(θ) s(ψ)s(θ)s(ϕ) + c(ϕ)cψ c(ϕ)s(ψ)s(θ) − c(ψ)s(ϕ) v (6) z˙D −s(θ) c(θ)s(ϕ) c(ϕ)c(θ) win which c(x) = cos(x) and s(x) = sin(x). Thus, the first three equations of motion can beobtained from (6).The second step of the modeling is to examine the rotational kinematics of the vehicle. Let theangular velocities vector of the vehicle is ν = [p, q, r]T . Using Euler’s rotation theorem [9] andthe rotation matrices given in (2), ν can be expressed as it follows, ˙ ϕ
- Conference Session
- Professional Papers
- Collection
- 2025 ASEE Southeast Conference
- Authors
- Vivek Singhal, University of Wisconsin - Stout; Kenan Baltaci, University of Wisconsin - Stout
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- Professional Papers
30 20 20 11 20 8 9 5 0 0 10 0 0 0 Very Well Very Satisfied Very Fair Well Satisfied Fair Neutral Neutral Neutral Not Well at All Not Satisfied Not Fair Q 10
- Conference Session
- Professional Papers
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- 2025 ASEE Southeast Conference
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- 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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- Diversity, Professional Papers
engineering-related fields. The questions also investigated how students were supported as they developedtheir identify with in the engineering community with an increased motivation to advance.Out of the responses to Q-1 (-ways you felt most supported and any areas for improvement in thepeer-led activities) 63% were positive. Similarly, positive comments made up 65% of responsesfor Q-2 (has the interaction with peers helped support your academic and career goals?) InVivowas used to code the reflective responses by themes.Positive Experiences with Peer Led ActivitiesAttitudes and interest towards engaging with peers was well supported through the first question.To answer the question, indicators around broader statements regarding the PLTL (Peer-Led
- Conference Session
- Professional Papers
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- 2025 ASEE Southeast Conference
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- Erin Bosarge, University of South Alabama
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- Diversity, Professional Papers
Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097[9] Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Shen, M. Q. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041[10] Rizvi, S., Waite, J., & Sentance, S. (2023). Artificial intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review. Computers and Education: Artificial Intelligence, 4, 100145. https://doi.org/10.1016/j.caeai.2023.100145[11] Almatrafi, O., Johri, A., & Lee, H. (2024). A systematic review of AI literacy conceptualization, constructs, and implementation and
- Conference Session
- Technical Sessions 1
- Collection
- 2024 Fall ASEE Mid-Atlantic Section Conference
- Authors
- Gonca Altuger-Genc, State University of New York, College of Technology at Farmingdale; Akin Tatoglu, University of Hartford
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- Professional Papers
request or can be more specific such as review for grammar, structure, punctuation, or flow. The decision of how they want ChatGPT to review their essays are carried out by students. The original version and the revised by ChatGPT version of the student essays are shown in Figure 5. Figure 5. Students' Essay and ChatGPT Review of the Students' Essay➢ Phase V – Outcomes Review and Post-Experience Survey: In the last phase, a discussion on the overall experience, and level of incorporation and the outcome quality of the essays are carried out followed by a post-experience survey developed by authors [1] and is a 5-point Likert scale survey as shown in Figure Q. Figure 6. Post-Experience Survey
- Conference Session
- Technical Sessions 4
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- 2024 Fall ASEE Mid-Atlantic Section Conference
- Authors
- Tracey Carbonetto, Pennsylvania State University, Allentown
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- Diversity, Professional Papers
,modifications and improvements to a syllabus based on comments from the students maydemonstrate a method for syllabus improvement and show a correlation to student success. References:Carbonetto, T. (2024). Early Career Engineers’ Perspectives on Leadership Competency Development in Undergraduate Education (Publication No. 30994836) [Doctoral dissertation, Marshall University]. ProQuest Dissertations & Theses Global.Dann, R. (2014). Assessment as learning: Blurring the boundaries of assessment and learning for theory, policy, and practice. Assessment in Education: Principles, Policy & Practice, 21(2), 149-166.Farmer, W., & Hu, Q. (2018). FCL: A formal language for writing
- Conference Session
- Technical Sessions 5
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- 2024 Fall ASEE Mid-Atlantic Section Conference
- Authors
- Matthew Fried, SUNY Farmingdale; Mohammad Alshibli
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- Diversity, Professional Papers
Technology, 58(1), 504-509. https://doi.org/10.1002/pra2.487[2] Dai, Y., Chai, C. S., Lin, P., Jong, M. S., Guo, Y., & Jian-jun, Q. (2020). Promoting students’well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16),6597. https://doi.org/10.3390/su12166597[3] Chiu, T. K. F. and Chai, C. S. (2020). Sustainable curriculum planning for artificialintelligence education: a self-determination theory perspective. Sustainability, 12(14), 5568.https://doi.org/10.3390/su12145568[4] Cavanagh, T. B., Chen, B., Lahcen, R. A. M., & Paradiso, J. (2020). Constructing a designframework and pedagogical approach for adaptive learning in higher education: a practitioner'sperspective. The International Review of
- 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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- Diversity, Professional Papers
personalized learning. Rand Corporation (2015).[6] Campbell, J. P., DeBlois, P. B. & Oblinger, D. G. Academic analytics: A new tool for a newera. EDUCAUSE review 42, 40 (2007).[7] Okubo, F., Yamashita, T., Shimada, A. & Ogata, H. A neural network approach for students’performance prediction, 598–599 (2017).[8] Pan, S. J. & Yang, Q. A survey on transfer learning. IEEE Transactions on knowledge anddata engineering 22, 1345–1359 (2009).[9] John, B. Brain, mind, experience, and school. How people learn (2000).[10] Shute, V. J. Focus on formative feedback. Review of educational research 78, 153–189(2008).[11] Devlin, J. Bert: Pre-training of deep bidirectional transformers for language understanding.arXiv preprint arXiv:1810.04805 (2018).[12
- Conference Session
- Professional Papers
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- 2025 ASEE Southeast Conference
- Authors
- Priscilla J Hill, Mississippi State University; Bill B Elmore, Mississippi State University
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- Diversity, Professional Papers
TO ENTER THE CORRECT SIGN (HEAT ADDED=positive, HEAT REMOVED=negative) • Shell/Tube exchanger water-side duty, btu/hr • Fin-Fan exchanger water-side duty, btu/hr • Jacketed exchanger water-side duty, btu/hr • Reservoir Tank water-side duty, btu/hr • Uninsulated piping/equipment water-side duty, btu/hrShell/Tube exchanger • The duty of this exchanger adheres to the standard heat transfer equation • Q = Uo * Ao * ΔTlm ; where ΔTlm is the log mean temperature difference, F The total exchanger outside tube area, Ao, is 50.25 ft2 • What is the ΔTlm, F? • What is the overall heat transfer coefficient, Uo, btu/hr-ft2-F?Figure 3b. Part 2 of questions based on given data and Figure 2.Similar to the
- Conference Session
- Technical Sessions 1
- Collection
- 2024 Fall ASEE Mid-Atlantic Section Conference
- Authors
- Wenhai Li, Farmingdale State College; Yue Hung, Farmingdale State College; Reiss Guttman, Farmingdale State College; Sen Zhang, State University of New York, Oneonta; Ning Yu, State University of New York, Brockport
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- Professional Papers
dependencies in speech recognition and language translation, making them a key tool in voice-controlled robotics. • Week 5: Reinforcement Learning (RL) – The final lecture covers RL, focusing on how agents learn to maximize rewards through interaction with their environment. The lecture explains key RL concepts such as agents, states, actions, rewards, and policies. Students learn how reinforcement learning can be applied to robotics, where robots learn to optimize performance through trial and error. Concepts such as Q-learning and exploration vs. exploitation are briefly introduced, with practical examples tied to robotic systems.Since MET students generally have less experience with programming and
- 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
- Tagged Topics
- Diversity, Professional Papers
test apparatus for an engineering laboratory course," Computer Applications in Engineering Education, 2024.[18] T. M. Carrigan and B. A. Brooks, "Q: How Will We Achieve 20% by 2020? A: Men in Nursing," Nurse Leader, pp. 115-119, 2016.
- Conference Session
- Professional Papers
- Collection
- 2025 ASEE Southeast Conference
- Authors
- Claire Lynne McCullough PE, High Point University; Mike Dalton, High Point University
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- Professional Papers
November 12, 2024].[20] Q. Hamirani. “Here’s how Generative AI will redefine the workplace,” Forbes, February 15,2024. [Online] Available: https://www.forbes.com/sites/qhamirani/2024/02/15/heres-how-generative-ai-will-redefine-the-workplace/ [Accessed November 11, 2024].[21] K. Ellingrud, et al., Generative AI and the future of work in America, McKenzie GlobalInstitute, July 20, 2023, [Online] Available: https://www.mckinsey.com/mgi/our-research/generative-ai-and-the-future-of-work-in-america#/. [Accessed November 12, 2024].[22] B. Violino, “Yes, AI burnout is already happening at work. Here’s how to prevent it”MSNBC, August 16, 2024 [Online] Available: https://www.cnbc.com/2024/08/16/ai-burnout-workers.html. [Accessed November 12, 2024].[23] W. K
- Conference Session
- Technical Sessions 1
- Collection
- 2024 Fall ASEE Mid-Atlantic Section Conference
- Authors
- Zhou Zhang, SUNY Farmingdale State College; Yizhe Chang, California State Polytechnic University, Pomona
- Tagged Topics
- Professional Papers
, July 26-29, 2022.[37] Kusam, V.A., 2024, “Generative-AI Assisted Feedback Provisioning for Project-based Learning in CS Education” (Doctoral dissertation).[38] Salinas-Navarro, D.E., Vilalta-Perdomo, E., Michel-Villarreal, R. & Montesinos, L., 2024, “Using Generative Artificial Intelligence Tools to Explain and Enhance Experiential Learning for Authentic Assessment”, Education Sciences, Vol. 14, No, 1, p.83.[39] Li, H., Xu, T., Zhang, C., Chen, E., Liang, J., Fan, X., Li, H., Tang, J. & Wen, Q., 2024, “Bringing Generative AI to Adaptive Learning in Education”, arXiv preprint arXiv:2402.14601.[40] Weng, J.C., 2023, “Putting Intellectual Robots to Work: Implementing Generative AI Tools in Project Management”, NYU SPS