Paper ID #49670Integrating Biological Context into Computing Education: Enhancing InterdisciplinaryLearning in Biomedical EngineeringDr. Ernesto A B F Lima, University of Texas at Austin Dr. Lima is a Research Scientist at the Center for Computational Oncology within the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin (UT Austin) and a member of the Life Sciences Computing Group at the Texas Advanced Computing Center. He also serves as a lecturer in the Department of Biomedical Engineering at UT Austin, where he teaches Introduction to Computing. Dr. Lima has been recognized for
deadline.Closing the Peer Evaluation LoopAfter each peer evaluation, the instructors analyze the ratings to assign individual grades. The ratingscale for all six questions is 1-5, with 5 corresponding to the top option (i.e., best performance). Foreach student, we average the ratings of their teammates for the six categories which gives us an overallpeer evaluation rating. Note that a student’s self-ratings are excluded. The result is an overall ratingof 1-5, with a rating of 3 being average. A rating of 3 equates to 85 points or a B on our scale.In addition, the instructors read all the comments to ensure they are professional and appropriate.Comments are edited as necessary. Once this step is complete, the evaluations are released back tothe students
chatgpt and its capability of completing undergraduate engineering coursework," arXiv preprint arXiv:2403.01538, 2024.[6] D. L. McCabe and L. K. Trevino, "Academic dishonesty: Honor codes and other contextual influences," The journal of higher education, vol. 64, no. 5, pp. 522-538, 1993.[7] P. M. Newton and K. Essex, "How common is cheating in online exams and did it increase during the COVID-19 pandemic? A systematic review," Journal of Academic Ethics, vol. 22, no. 2, pp. 323-343, 2024.[8] T. B. Gallant, "Academic Integrity in the Twenty-First Century: A Teaching and Learning Imperative. ASHE Higher Education Report, Volume 33, Number 5," ASHE higher education report, vol. 33, no. 5, pp. 1-143
Paper ID #49655Machine learning and Vision Based Embedded Linux System EducationDr. Byul Hur, Texas A&M University Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2016, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Associate Professor. His research interests include Mixed-signal/RF circuit design and testing, measurement automation, environmental
Paper ID #49660Underwater robot and boat platforms in Embedded Systems and EngineeringTechnology Education.Dr. Byul Hur, Texas A&M University Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2016, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Associate Professor. His research interests include Mixed-signal/RF circuit design and testing, measurement
Paper ID #49662Python-based Microcontroller Architecture and Microcontroller ApplicationEducation in Engineering TechnologyDr. Byul Hur, Texas A&M University Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2016, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Associate Professor. His research interests include Mixed-signal/RF circuit design and
6 Education 91, no. 4 (2007): 523-53. https://doi.org/10.1002/sce.20203. https://dx.doi.org/10.1002/sce.20203.8. A. Sivan, R. W. Leung, C. Woon, and D. Kember. "An Implementation of Active Learning and Its Effect on the Quality of Student Learning." Innovations in Education and Training International 37, no. 4 (2000): 381-89. https://doi.org/10.1080/135580000750052991 .9. J. Theobald Elli et al., "Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math," Proceedings of the National Academy of Sciences, vol. 117, no. 12, pp. 6476-6483, 2020, doi: 10.1073/pnas.1916903117.10. W. M. Roth, C. J. McRobbie, K. B. Lucas, and S. Boutonné, "Why
sources of conflict?• How can the team better manage their conflict?• Is it realistic to resolve all conflicts? This Photo by Unknown Author is licensed under CC BY-SA ReflectionEach role playing activity will go differently, butsome things to consider: • Did Team member A ever really step up? • Maybe not. Conflict cannot always be resolved, but we can manage it by reaching a shared understanding (e.g., low peer eval scores). In some cases, an instructor/manager may need to be involved. • Did Team member D play a good facilitator if member B got too heated? • Was the conflict between members B and C resolved through simple communication? Dutch Test
C = Concerns scor D = AI dehumanization facto Academic performance, measured by GPA, showed a weak positive [7] Y. Li, C. Wang, Y. Cao, B. Liu, Y. Luo and H. Zhang, "A-HRNet: Attention Based High Resolution Network for Humanpersonalized learning environments have been shown to improve U = Utility grade R = Job replacement impac
samples are fully frozen. The four different sampleswere analyzed simultaneously on the cold stage system with images being collected with a cameraduring the cooling process to obtain the freezing properties of the water and its suspension. Severalcalibrations were conducted with 80 droplets, 1.0 µL volume per drop. Figure 1(a) shows theschematic of the planned experiment.To ascertain whether the adopted system generated consistent data, the data produced wascompared to another similarly developed device by the environmental department at WTAMU [9].The freezing spectrum from the new cold stage system was also compared with measured datasetsfrom previous studies [4,5,6]. Figure 1(b) shows example freezing spectra (i.e., frozen fraction =frozen
., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.Heffernan, N. T., & Heffernan, C. L. (2014). The ASSISTments ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching. International Journal of Artificial Intelligence in Education, 24(4), 470-497. 13Holstein, K., McLaren, B. M., & Aleven, V. (2019). Co-designing a real-time classroom orchestration tool to support teacher–AI complementarity
in height (zA – zB) between the two locations. The volume flowrate (Q) is calculated by applying Bernoulli’s equation along a streamline that runs along the watersurface and utilizing conservation of mass between points A and B: 1/2 2𝑔(𝑧𝐴 − 𝑧𝐵 ) 𝑄 = 𝑑𝐴 𝑤𝐴 𝑑𝐴 𝑤𝐴 2 ( ) −1 ( 𝑑𝐵 𝑤𝐵 )The students also estimated the flow speed by timing how long it took a ping-pong ball to travel aspecified distance along the creek. This provided a
., Semmens, K., Thompson, R.E. "Commercial aquaponics production and profitability: Findings from an international survey." Aquaculture, 2015, 435, ISSN 0044-8486. https://doi.org/10.1016/j.aquaculture.2014.09.023.4. Somerville, C., Cohen, M., Pantanella, E., Stankus, A., Lovatelli, A. "Small-scale aquaponic food production: Integrated fish and plant farming." FAO Fisheries and Aquaculture Technical Paper, 2014.5. Lennard, W. A.; Goddek, S. Chapter 5 - aquaponcs: The baics. In Aquaponics food production systems, Goddek, S., Joyce, A., Kotzen, B., Burnell, G. M. Eds.; Springer, 2019.6. Kloas, W., Groß, R., Baganz, D., Graupner, J., Monsees, H., Schmidt, U., Staaks, G., Suhl, J., Tschirner, M., Wittstock, B., Wuertz, S., Zikova, A
Chou1, Theresa Rogers3, and Swastika S. Bithi1 1 College of Engineering 2 Terry B. Rogers College of Education and Social Sciences West Texas A&M University 3 Canyon High School AbstractThis initiative transforms STEM education by engaging 6–12 grade students in the TexasPanhandle with hands-on tools focused on groundwater, aquifers, water quality, and waterquantity. Teachers collaborate directly with the program to implement in-class activities, organizescience and
interest and support for the innovation project,3. Motivation of project members to innovate,4. Wide promotion of innovation success stories, and5. Image Construction of being and becoming “innovative” Figure 1: TTA Full story told in six academically referred papers (Aliedeh, M. A., 2015 a, b, c, 2016, 2017, 2018 a)Narration of TTA Full Story: From Conceptualization to Integration In the last ten years, TTA solution passed the critical point by passing four important stagesstarting by conceptualization, publishing its newly developed frameworks, processes, tools andproducts in a six academically peer-refereed papers, as visually illustrated in Figure 2. These sixpapers cover nearly all
and previous offerings of the courses.Students’ identifying information has been removed for the purposes of this paper.Student A - “I found the robotics and automation lecture the most interesting because of howprevalent it is becoming in so many industries. Automated systems are being utilized more andmore as technology grows more advanced, and it was interesting to learn about how it is beingused in agricultural fields.”Student B – “One area I’ve found particularly interesting is the integration of robotics and AI inagriculture. The ability to use autonomous systems for tasks such as planting, weeding, andmonitoring crop health showcases how technology can revolutionize traditional farmingpractices. For example, learning about the
to be sustainable, discussions occurred with a prominent industry trade magazine. Adecision was made to partner where the material would be generated by students and the corporatewebsite created and maintained by the magazine with advertisement revenues split. The project wasnamed Offshore Learning Center (OLC). Launched in 2015, at the beginning of the major oil and gasindustry collapse, there were page views from 54 countries in 8 months and about 8,000 pageviewsper month as shown in Figures 3. (a) and (b). Many very positive comments were received. However,this program did not generate the advertising revenue expected due to the oil industry downturn andthe 5-year contract was not renewed. Lessons learned from the work to date highlighted
: (a) Has allowed me to extract something positive (b) My learning expectations have been met (c) The quality of my learning has improved (d) The understanding of the subject has been easier (e) Doing more interesting and imaginative work has been possible To adapt the survey for our study, we preserved the original intent of each statement while explicitly framing them in the context of AI-supported learning. The statements were modified in our survey as follows: (a) AI-supported learning has allowed me to extract something positive from this course (b) My learning expectations have been met with the help of AI-supported learning (c) The quality of my learning has improved because of AI-supported learning
tailoring teaching methods and content to match students' needs, learning styles, and interests. A study by Bernacki et al. [15] explored personalized learning in education by systematically reviewing studies published between 2000 and 2020, categorizing them by who personalizes, what is personalized, how it is personalized, and for what purpose, and found that smaller, more flexible learning environments, such as those in small classes, often enable more effective personalization of content and pace, leading to improved academic achievement and engagement. b. Increased Accessibility: Students
Chowdhury1, Nathan Howell1 , Masoumeh Ozmaeian1, Mark Garrison2, Li Chou1, Theresa Rogers3, and Swastika S. Bithi1 1 College of Engineering 2 Terry B. Rogers College of Education and Social Sciences West Texas A&M University 3 Canyon High School AbstractThis study takes a hands-on approach to inspire middle and high school students in the TexasPanhandle about the fascinating world of water science and environmental engineering. By delvinginto soil
. Pazos et al., “Enhancing teamwork skills through an engineering service-learning collaboration,” in 2020 ASEE Virtual Annual Conference Content Access, Virtual Online, 2020.4. B. W. Tuckman, “Developmental Sequence in Small-Groups,” Psychol Bull, vol. 63, no. 6, pp. 384-399, 1965.5. P. Hunsaker, C. Pavett, and J. Hunsaker, “Increasing Student-Learning Team Effectiveness With Team Charters,” J. Educ. Bus., vol. 86, no. 3, pp. 127-139, 2011.6. J. R. Aaron, W. C. McDowell, and A. O. Herdman, “The Effects of a Team Charter on Student Team Behaviors,” J. Educ. Bus., vol. 89, no. 2, pp. 90-97, 2014.7. LinkedIn Learning Course. “Building Your Team,” https://www.linkedin.com/learning/building-your- team/understanding-your
. White, "Wanted: Public Service," Structure Magazine, p. 7, January 2022.[4] J. F. Pulido, "Wish I'd Known," Civil Engineering, p. 74, September/October 2022.[5] ASEE, "Engineering One Planet," 2024. [Online]. Available: https://engineeringforoneplanet.org/. [Accessed September 2024].[6] J. Roe and L. McCay, Restorative Cities: Urban Design for Mental Health and Wellbeing, London: Bloomsbury Publishing PLC, 2021.[7] J. S. Vogler, P. Thompson, D. W. Davis, B. E. Mayfield, P. M. Finley and D. Yasseri, "The Hard Work of Soft Skills; Augmenting the Project-Based Learning Experience with Interdisciplinary Teamwork," Instructional Science, vol. 46, no. 3, pp. 457-488, 2018.JAMES K. NELSONDr. Nelson is a civil engineer and currently serves
Figure 2 (b) and (c), most of thestudents (64%) had taken a course on sustainability, while only 35% had taken a course oncompressed earthen masonry. Figure 2. Demographic information of students Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright © 2025, American Society for Engineering Education 8Sustainability Knowledge, Learning Confidence, and Relevance to CareerThe findings of the study also show that the perception of students’ knowledge and confidence aboutearthen masonry as a sustainable material generally increased while
comprehensive and authoritative classification system and descriptive criteria for outcomes for dyslexic students. Similarly, Schipor et al. (2010) developed span various countries, including the United States, Malaysia, India, and others, strengths and weaknesses are some of the technologies explored in the review. mental disorders. (B) Study and Publication in the last 15 years. (C) The source is a LOGOMON, a computer-based speech therapy model for children with speech showing a growing interest in use of AI for assisting SWLDs. The findings reveal a positive impact created by the AI technologies on the
: What Are They?Types, Uses & Considerations. https://www.iqsdirectory.com/articles/gear/helical-gears.html[2] Channel, S. (Ed.). (2017, August 5). See How Electronic Impact Drills Are Made.https://www.youtube.com/watch?v=PYQeRQ4U7fI[3] MOTT, R. L., VAVREK, E. M., & WANG, J. (2018). Machine elements in mechanical designRobert L. Mott, Edward M. Vavrek, Jyhwen Wang. Pearson Education.[4] Brian Dengel-, By, Brian Dengel is general manager of KHK USA Inc, Dengel, B., & is generalmanager of KHK USA Inc. (2023, July 13). Brian Dengel. Gear Solutions Magazine YourResource to the Gear Industry. https://gearsolutions.com/departments/tooth-tips/what-is-a-helical-gear/[5] ASQ. (n.d.). Six sigma definition - what is Lean Six Sigma? | ASQ. Six
Copyright © 2025, American Society for Engineering Education 7Essa, S., Çelik, T., & Human-Hendricks, N. (2023). Personalized adaptive learning technologies basedon machine learning techniques to identify learning styles: A systematic literature review. IEEE Access,11, 48392–48409. https://doi.org/10.1109/ACCESS.2023.3276439Farrelly, T., & Baker, N. (2023). Generative artificial intelligence: Implications and considerations forhigher education practice. Education Sciences. https://doi.org/10.3390/educsci13111109Figueroa, B., & Eaton, S. (2023). Examining recommendations for artificial intelligence use withintegrity from a scholarship of teaching and learning lens. RELIEVE - Revista
absolute temperature, and A, B, and C are substance-specificconstants. As previously implied, the Antoine equation performs quite well over moderatetemperature ranges while maintaining a relatively simple form factor, making it suitable for manyengineering applications. However, comparable to the Clausius-Clapeyron equation, the Antoineequation also demonstrates significant deviation near the critical point or over more extremetemperature ranges. Proceedings of the 2025 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington, Arlington, TX Copyright 2025, American Society for Engineering EducationThe Lee-Kesler approach4 represents a significant advancement in
theirindustry-specific needs, ensuring a steady pipeline of skilled engineers to meet their operationaland strategic demands. Furthermore, reciprocal relationships are developed as LeTourneauUniversity engages with companies and other types of companies within the same industry beginto benefit from the partnerships. For example, LeTourneau University provides semiconductortesting education using specific equipment from Company A. Company B purchases equipmentfrom Company A and LeTourneau University supplies qualified engineering interns andgraduates to both Company A and Company B. This reciprocal relationship may be expressed asseen in Figure 2. Figure 2. Reciprocal relationships between industry and the university Proceedings of the
moderate to middle-skill jobs that require some college, but lessthan a bachelor’s degree; and b) the ongoing need for highly skilled STEM graduates to maintain thenation’s competitiveness in productivity and innovation IntroductionBackgroundSouthern University at Shreveport, Louisiana (SUSLA), a comprehensive two-year communitycollege, and Southern University at Baton Rouge, Louisiana (SUBR), a four-year and graduateUniversity, are two campuses that comprise the Southern University System. The Southern UniversitySystem is the only Historically Black College & University (HBCU) system in the United States.SUSLA serves rural and urban areas of northwest Louisiana bordered to the west by Texas and to
Paper ID #49560A Workshop on ABET-EAC Accreditation EvaluationDr. Amir Karimi, The University of Texas at San Antonio Amir Karimi, University of Texas, San Antonio Amir Karimi is a Professor of Mechanical Engineering at The University of Texas at San Antonio (UTSA). He received his Ph.D. degree in Mechanical Engineering from the University of Kentucky in 1982. His teaching and research interests are in thermal sciences. He has served as the Chair of Mechanical Engineering (1987 to 1992 and September 1998 to January of 2003), College of Engineering Associate Dean of Academic Affairs (Jan. 2003-April 2006), and the Associate