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
.[2] Singh S, Suragimath G, Varma S, Zope SA, Mashalkar VS, Kale AV, Sr A. YouTube Videos: ALearning Tool for Periodontology Education. Cureus. 2024 Dec 19;16(12):e76049. doi:10.7759/cureus.76049. PMID: 39834979; PMCID: PMC11743747. AppendixYouTube Channels developmentThe process of creation of YouTube channels involved several key steps that combined technicalorganization and continuous collaboration with industry experts and students. The Six YouTubechannels are: 1. Offshore Mooring Systems: (https://www.youtube.com/@OFFSHOREMOORINGSYSTEMS) 2. Heavy Marine Transport Vessels & Floatovers: (https://www.youtube.com/@HEAVYMARINETRANSPORTVESSELS) 3. Offshore Oil & Gas Field
previously worked on the golf cart project. Finally, the authors would like tothank the Eastern Michigan University Disability Resource Center for their crucial insights andthe GameAbove College of Engineering and Technology for the financial support of this project.References[1] National Center on College Students with Disabilities. (n.d.). Campus Disability Resource Database.https://www.cedardatabase.org/index.php/[2] Autocampus. Perrone Robotics, Inc. https://www.perronerobotics.com/autocampus Accessed 29 Nov. 2024.[3] B. Panomruttanarug, L. Thurnim, A. Kornwong, S. Promdum and P. Tangwongsan. (July 2022). Practical SpeedControl for an Autonomous Golf Cart. Presented at Int. Tech. Conf. on Circuits/Systems, Computers, and Commun.(ITC-CSCC
the experiences the remote is transmitting to, the communicationprotocol broadcasts an incrementing numerical value to determine whether the experience is onor off. By using modular arithmetic, a value can be set for the number of times the button can bepressed before it gets reset back to state zero. For example, assume that there are 6 specificsections of the History Wall that need to be illuminated by our lighting array. The remote carriedaround by the client will constantly increment by 1 to an arbitrary limit based on the computepower of the ESP-32’s Arm based architecture. On the controller side of the history wall, it willreceive whatever value is being sent by the remote, divide by 7 (the number of sections neededper the assumption
microcontroller model was programmed in C to control LED strips as well as LEDsegmented displays, illustrating data flow paths and displaying binary register values,respectively. Due to the mechanical build and the number of LEDs, monitoring and managingsystem temperature became critical. As the model was designed to be wall-mounted, the ability 7to remotely change the instructions became essential leveraging the ESP32's built-in BluetoothLow Energy (BLE) capabilities to accept and apply operator changes wirelessly.The basic function of software includes the following: • Allow the system to connect remotely to an external Operator Interface • Monitor temperature and Fan control
. UNESCO, 2021.[4] S. Roy and S.K. Paul, "Revolutionizing Education: How [13] Cecilia Ka Yuk Chan, Louisa H.Y. Tsi, The AI Revolution in Artificial Intelligence is Transforming the Learning Landscape," Education: Will AI Replace or Assist Teachers in Higher International Journal of Trend in Scientific Research and Education? Cecilia.Chan@cetl.hku.hk Development (IJTSRD), vol. 7, no. 4, July-August 2023. [14] A. D. Lantada and C. De Maria, "Towards Open-Source and[5] J. L. Martín Núñez and A. S. Dı́az Lantada, "Artificial Collaborative Project-Based Learning in Engineering Education: Intelligence Aided Engineering Education: State of the Art
several outliers and scatteredpoints, indicating variability in student performance. Some ACKNOWLEDGMENTstudents scored low on paper-based assessments but relatively During the preparation of this work the author(s) usedhigher on computer-based assessments. These outliers ChatGPT tool to compare students’ solutions to check if theyrepresent students who extensively used Generative AI tools are generated by ChatGPT. We also used this platform forfor completing their auto-graded computer-based assignments improving the language of the manuscript. After using thisto obtain high scores but struggled to write simple code on tool/service, the author reviewed and edited the
group got creative on their own and came up with 4 4 16 some unique ideas to use without AI.” 56 Totals 121 “Our team had some discussions on what ways and how much to use AI and could not always agree. We decided to just do what we wanted for each of our parts for the seminar. Students were forthcoming in recognizing and describingthe potential drawbacks of relying on generative AI for this “I actually wonder how this affect[s] my
. Available at https://engineering.purdue.edu/∼biehl/MultiSpec/index.html (2022/08/03) [9] Imagej - image processing and analysis in java. Available at https: //imagej.nih.gov/ij/ (2022/08/03)[10] Y. Guo, Y. Liu, A. Oerlemans, S. Lao, S. Wu, M.S. Lew, Neurocom- puting 187, 27 (2016)[11] A. Krizhevsky, I. Sutskever, G.E. Hinton, Advances in neural informa- tion processing systems 25 (2012)[12] G. Letjens, Medical Image Analysis 42, 60 (2017)[13] Y. Song, Z. Huang, C. Shen, H. Shi, D.A. Lange, Cement and Concrete Research 135, 106118 (2020)[14] P. Fonseca, G. Scherer, Materials and Structures 48(10), 3087 (2015)[15] J.A. Hartigan, M.A. Wong, Journal of the royal statistical society. series c (applied statistics) 28(1), 100 (1979
unbiased evaluation of modelperformance. The training set constituted 70% of the data, while 20% was reserved for validation and 10% for testing. These preprocessing steps ensured that the models were trained on a diverse and well-prepared dataset, allowing forreliable performance comparisons across SegNet, U-Net, and YOLO-Seg. As shown in Table I, the dataset was efficientlylabeled using Roboflow, a free and user-friendly annotation tool. Its intuitive interface eliminates the need for specializedtraining, making it accessible even to users with minimal technical expertise. TABLE I S UMMARY OF B LOOD C ELL DATASET
Fluid Dynamics. 2002.[6] Higgins, Brian G., “2D Navier Stokes solution lid-driven cavity flow”, Notes, 2009.[7] Kosti, S , Rathore V. S. (2015). “Numerical study of lid driven cavity at different Reynoldnumber”, Trends in Mechanical Engineering & Technology. 5(3). 2015.[8] Ambatipudi, V, “Simple Solver for driven cavity flow problem”, ASME. 2006.[9] Salih A., 2013, “Streamfunction-vorticity formulation”, department of aerospace engineering,Indian Institute of Space Science. 2013.
/science.aba6990 https://www.science.org/doi/10.1126/science.aba6990Revankar, V. S. (2022). Women in Intellectual Property Addressing the Gender Gap. International Journal of Law Management & Humanities, 5, 342-354.Schuster, W. M., Marcowitz-Bitton, M., & Gerhardt, D. R. (2022). The gender gap in academic patenting. UC Davis Law Review, 56(2), 759-815.Stoet, G., & Geary, D. C. (2018). The gender-equality paradox in science, technology, engineering, and mathematics education. Psychological Science, 29(4), 581–593. https://doi.org/10.1177/0956797617741719Subramani, G., & Saksena, M. (2024). Untapped potential: Investigating gender disparities in patent citations. USPTO Economic Working Paper No. 2024-3
marginalizedcommunities [3]. Together, QuantCrit can provide valuable broader insights on the CCW heldand used by students of minoritized populations. One example includes Perez Huber et al.’s [10]use of QuantCrit as a counter story methodology to share the occupational outcomes of Latinestudents.Our study explores the use of think-aloud methodology to provide an avenue for integrating theprinciple of Voices and Insight in survey design. Voices and Insight posits that all data issubjected to socially constructed interpretations, thus prompting researchers to reflect on howtheir beliefs and experiences shape their understanding of the data [3]. Voices and Insights alsorecognizes the importance of the knowledge and experiences held by minoritized individuals.Using
. Price, "Enhancing the success of minority STEM studentsby providing financial, academic, social, and cultural capital," In ASEE annual conference &exposition, vol. 2014, 2017.[10] G.H. Kuh, J.K. Kinzie, J.A. Buckley, B.K. Bridges, and J.C. Hayek, J. C. “What matters tostudent success: A review of the literature. In commissioned report for the national symposiumon postsecondary student success, National Postsecondary Education Cooperative, 2006.Available: https://nces.ed.gov/npec/pdf/Kuh_Team_Report.pdf[11] J.J. Fry, "Reframing the deficit mindset: first-generation students and concurrentenrollment," Ph.D. dissertation, University of Texas, Austin, TX, 2020.[12] G. Menezes, C. Bowen, J. Dong, L. Thompson, N. Warter-Perez, S. Heubach, D
, Tarleton State UniversityLondon Knight, West Texas A&M UniversityVictoria June Vinzant, Texas A&M University - Kingsville ©American Society for Engineering Education, 2025 1 Intersection of Design and Society: Student and Faculty Reflection on an Interdisciplinary CourseJames K. Nelson Andrew S. CrawfordRELLIS Academic Alliance Mechanical Engineering Technology StudentTexas A&M University System Tarleton State UniversityCeleste A. Riley
, 2017. [9] Tony Wright and Susan Hamilton. Assessing student understanding in the molecular life sciences using a concept inventory. ATN Assessment, 2008.[10] Margherita Bernabei, Silvia Colabianchi, Andrea Falegnami, and Francesco Costantino. Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances. Computers and Education: Artificial Intelligence, 5:100172, 2023.[11] Vassilka D Kirova, Cyril S Ku, Joseph R Laracy, and Thomas J Marlowe. Software engineering education must adapt and evolve for an llm environment. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, pages 666–672, 2024.[12] Marian Daun
refinements with the hopes that more manipulatives be created for use in calculuscourses as well as upper-division courses (e.g., differential equations, linear algebra, complexanalysis) at ERAU Prescott.References[1] S. Sorby and D. Smith, “2020 Survey for Skills Gaps in Recent Engineering Graduates,” in ASEE Corporate Member Council, Virtual due to Covid: ASEE, Jun. 2020, p. 21.[2] A. McKenna, G. Lichtenstein, P. Weilerstein, and Monroe-White, “The Entrepreneurial Mindset: Using the Questions of What, Why, and How as an Organizing Framework,” in Advanced in Engineering Education, Salt Lake City Utah: ASEE, Fall 2018, p. 8.[3] N. Duval-Couetil, T. Reed-Rhoads, and S. Haghighi, “Engineering Students and Entrepreneurship Education
laboratory uniting circuit and system concepts," in IEEE MTT-S Intl. Microw. Symp. Digest, Baltimore, MD, USA, June 1998.[7] D. Hite, C. Murphy and N. Singh, "A relatively inexpensive 5.8 GHz microwave system for exploring electromagnetic phenomena in laboratories," Universal J. Eng. Sci., vol. 2, no. 2, pp. 43-48, 2014.[8] M. A. Jensen, R. H. Selfridge and K. F. Warnick, "System-level microwave design projects," IEEE Ant. Propag. Magazine, vol. 43, no. 5, pp. 138-142, Oct. 2001.[9] F. T. Ulaby and B. L. Hauck, "Undergraduate electromagnetics laboratory: An invaluable part of the learning process," Proc. IEEE, vol. 88, no. 1, pp. 55-62, Jan. 2000.[10] R. Bansal, "Teaching fundamentals of electromagnetics in the context of
Zoom meeting code.” Instances like this were made more difficult by thepandemic, because remote staff meant that office phones went unanswered, and there would notbe a way to reach someone quickly as mentioned by Participant 8. When Participant 10 started the process to get accommodations in January, he was notgranted any until April. In the “multiple months before I got anything – I was just hanging in thebalance.” In addition to the time he waited for his accommodation appointment, he also had towait two months prior to get tested for ADHD, for which he needed a formalized diagnosis inorder to be approved for accommodations. Not only did these wait times impact Participant 10’s access to accommodations, but he“would’ve gotten
REFERENCES possibility of cheating the game Neither we nor our testers have [1] Creative Classroom Challenges: Educational Puzzles for All. (2023, yet been able to find a way of cheating the game, short of using October 10). Brainy Casuals Puzzle. https://brainycasuals.com/educational-games/educational- excessive force. However, we recommend that only one switch puzzles/creative-classroom-challenges-educational-puzzles-for-all/ be flipped at a time to guarantee the stability of the internal [2] Olwan, S., & Connolly, M. (2024, July 26). Games and Activities to Suit digital logic
electronics.combination of 4 sequential bits set by player-2. After player-1makes their guess of the 4-bits, they receive instantaneous Students who investigate this game may also experimentfeedback from a row of LEDs telling them how many bits were with different configurations of logic gates and observe howchosen incorrectly, but not which ones were incorrect. Using this these changes affect the device's behavior. This process wouldinformation, player-1 makes a second guess for the 4 bits and help reinforce theoretical knowledge through practicalreceives second feedback from the LEDs. Player-1 gets a total of application. Due to the strategic nature of the game, studentsfour trial guesses to find player-2’s original 4
. language understanding,” NAACL-HLT, 2019. • However, both methods failed to generate relevant [13] S. Reimers and I. Gurevych, “Sentence-BERT: Sentence embeddings using Siamese BERT-networks,” EMNLP, 2019. responses for Queries 4 and 5, suggesting that [14] Q. Zhu et al., “Efficient context retrieval in dialogue systems using neural certain queries may require alternative embedding similarity,” ACL, 2021. optimization strategies or more comprehensive [15] H. Jeon et al., “Memory-efficient transformer architectures for long- training data. context NLP,” ICLR
, [10] https://hub.qmplus.qmul.ac.uk/group/chromium/cobalt-chromium-alloy Thierry Judet, Michel Bonnin, Jean-Alain, Colombier and Sheldon S. [11] Yi Lu, Wenshuang Li, Jianfeng Zhou, Yi Ren, Xuefen Wang, Jun Li, Lin, Foot Ankle Int 2008 29: 1117. Shu Zhu,Strengthening and toughening behaviours and mechanisms of[2] Total ankle replacement Design evolution and results Alexander VAN carbon fiber reinforced polyetheretherketone composites (CF/PEEK), DEN HEUVEL, Saskia VAN BOUWEL, Greta DEREYMAEKER. Composites Communications,Volume 37,2023,101397, ISSN 2452
model, the impact of the expert's decisions on it has to be made. The company refinements required to increase Fig. 8. X-ray of a pneumonia-affected lung and a healthy lung (Sample robustness in diverse clinical environments are promising. images) for model 2. Model 2 exhibits Greater accuracy, manages incomplete data,resilient. In model 2 ResNet18's advanced feature extraction on complete patient data and thus provides a more robust andsurpasses that of a basic CNN. Moreover, Bayesian reasoning interpretable AI-based healthcare solution. Real-case scenariosprovides clinically interpretable predictions
. [8] He, K., et al. "Deep Residual Learning for Image Recognition." CVPR, V. CONCLUSIONS AND FUTURE RESEARCH 2016. [9] Simonyan, K., et al. "Very Deep Convolutional Networks for Large-Scale Image Recognition (VGG16)." ICLR, 2015.The study proved the efficacy of a VGG16-based deep learning [10] Redmon, J., et al. "YOLO: Real-Time Object Detection." CVPR, 2016.model for wildfire identification, attaining 97.5% accuracy on [11] Ren, S., et al. "Faster R-CNN: Towards Real-Time Object Detection withthe D-FIRE dataset. Through the use of data augmentation and Region
Academic Advisor (required), choose at least one Adventure from eachStudent Learning Outcome category. Peer Educators and Mentors may assign specific Adventuresfor their section(s), for example, a Fain Fine Arts section might require attendance at a performance.Students should complete the following assignments: Goal Setting Activity – Week 2, Study GuideActivity – Week 4, Wellness Inventory – Week 5, and Self-Assessment – Week 13. Summary and ConclusionsSuggestions from PEs (Peer Educators) include putting due dates on the syllabus, tracking adventurecompletion, including guest speakers, and something due each week to improve attendance. Theyalso suggested continuing the guidebook. The mentors asked for
/2024/resources/nace-career-readiness-competencies-revised-apr- 2024.pdf [7] Jang, S. (2021), “Redesign of a Large Statics Course for Neurodiverse Students in the Distance Learning Environment.” 2021 ASEE Virtual Annual Conference, https://peer.asee.org/37644Fig. 3. Reflection of result Q3. [8] Passow, H. J. (2012). "Which ABET Competencies Do Engineering Graduates Find
, “Design meetings and designneural network architectures, including transformers and notebooks as tools for reflection in the engineering design course”, IEEEgenerative models like GANs and VAEs, will further advance 36th Annual Conference, Frontiers in Education, pp. 165-184, Santhe capabilities of AI in education. As reported by HolonIQ, Diego, CA, USA, 27-31 October 2006.the global ed-tech market is projected to reach $404 billion by [3] Robin S. Adams, Jennifer Turns, and Cynthia J. Atman, “Educating effective engineering designers: the role of reflective practice,” Design2025, highlighting the growing impact of AI in this