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
-Learning in Theory and Practice: The Future of Community Engagement in HigherEducation. New York: Palgrave Macmillan, 2010.[2] J. Eyler, D. E. Giles, and A. W. Astin, Where’s the Learning in Service-Learning? Hoboken, NJ: John Wiley &Sons, 2010.[3] E. Brubaker, M. Trego, S. Cohen, and K. Taha, “Partnerships Compass: Guiding Questions for Equitable andImpactful Engineering Community-Engaged Learning,” Adv. Eng. Educ., In Press, 2022.[4] J. Eby, “Why Service-Learning Is Bad,” Service Learning, General, no. Paper 27, 1998. [Online]. Available:digitalcommons.unomaha.edu/slceslgen/27.[5] ME170, me170.stanford.edu/. Accessed 28 Mar. 2025.[6] Criteria for Accrediting Engineering Programs, ABET, 2024.[7] T. L. D. Fenster et al., “Defining and
, researchoutputs, and early doctorate careers,” PLoS ONE, vol. 12, no. 2, p. e0170444, Feb. 2017, doi:10.1371/journal.pone.0170444.[2] C. C. Nnakwe, N. Cooch, and A. Huang-Saad, “Investing in Academic TechnologyInnovation and Entrepreneurship: Moving Beyond Research Funding through the NSF I-CORPSTM Program,” technol innov, vol. 19, no. 4, pp. 773–786, Jun. 2018, doi:10.21300/19.4.2018.773.[3] S. Al Haddad, T. O’Neal, I. Batarseh, and A. Martoncik, “Enabling academicentrepreneurship: the I-Corps experience,” ET, vol. 63, no. 7/8, pp. 1027–1042, Nov. 2021, doi:10.1108/ET-03-2019-0045.[4] P. Rippa, G. Landi, S. Cosimato, L. Turriziani, and M. Gheith, “Embeddingentrepreneurship in doctoral students: the impact of a T -shaped educational approach
faculty meeting presentation. Additionally, the team createda PowerPoint slide deck as guidance for other faculty members interested in integrating EOP intheir courses. In addition to including background information about EOP, the slide deck wasdeveloped for instructors to be able to easily copy slides into their existing course slides, thuslowering the barrier for new faculty engagement. These slides include an overview of the EOPframework as well as a slide for each of the specific EOP learning outcomes; therefore,instructors can copy and paste the slide(s) for the relevant outcome(s) within their course.Long-term, the project team endeavors to expand EOP throughout the civil engineeringcurriculum. This path forward includes the following
Society for Computers in Learning in Tertiary Education, pp. 573-577, 2013.[5] S. Subhash and E. A. Cudney, "Gamified Learning in Higher Education: A Systematic Review of the Literature," Computers in Human Behavior, vol. 87, pp. 192-206, 2018.[6] G. T. Baptista and T. Oliveira, "Gamification and serious games: A literature meta-analysis and integrative model," Computers in Human Behavior, vol. 92, pp. 306-315, 2019.[7] I. Caponetto, J. Earp, and M. Ott, "Gamification and education: A literature review," in European Conference on Games Based Learning Academic Conferences International, vol. 1, 2014.[8] A. A. Yasin and A. Abbas, "Role of gamification in engineering education: A Systematic literature review," in IEEE
. The practicum’s successdepends on the cooperation of two Habitat for Humanity sites, which reserve Wednesdayafternoons for the students. This flexibility allows the instructor to rotate between sites, ensuringstudents gain diverse experiences and adapt to construction schedules affected by weather.References[1] Hobson, Rosalyn S. "The changing face of classroom instructional methods: service learningand design in a robotics course." In Frontiers in Education Conference, 2000. 30th Annual, vol.2, pp. F3C-20. IEEE, 2000[2] Jacoby, B., and Assoc., Service Learning in Higher Education, Jossey-Bass, SF, CA, 1996.[3] Brandenberger, J.W., "Developmental Psychology and Service-Learning: A TheoreticalFramework," p. 68 in R. Bringle and D. Duffy
), pages, publication dates, and DOIs or URLs to access the documents.1. Rahman, M. A., Islam, M. S., Hossain, M. A., and Akhand, M. A. H. "Design and Development of Fully Functional Prosthesis Robotic Arm." 2023 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, 2023. https://ieeexplore.ieee.org/document/101423702. Markovic, M., Dosen, M., Farina, D., and Aszmann, O. C. "A Multimodal Embedded Sensor System for Scalable Robotic and Prosthetic Applications." IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 6, IEEE, 2018, pp. 1121–1131. https://ieeexplore.ieee.org/document/86249553. Mayo Clinic. (n.d.). Multiple sclerosis (MS) is a potentially disabling
/BF00992604.[15] H. Salgado, “Exploring Departmental Cultures of Engineering Instructional Faculty Members at Hispanic Serving Institutions,” Master’s Thesis, University of Texas at El Paso, 2022.[16] HACU, “2024 Fact Sheet.” Accessed: Mar. 17, 2025. [Online]. Available: https://www.hacu.net/NewsBot.asp?ID=4597&MODE=VIEW[17] APLU, “Status Report on Engineering Education,” 2018.[18] S. Cutler and A. Coso Strong, “The Overlooked Impact of Faculty on Engineering Education,” in International Handbook of Engineering Education Research, 1st ed., New York: Routledge, 2023, pp. 286–311. doi: 10.4324/9781003287483-17.[19] V. Bracho Perez, H. Salgado, A. Coso Strong, and M. R. Kendall, “Engineering instructional faculty perceptions
letter in thisacronym stands for a different stage/component of the meeting. These includes (B) bridging in,presenting findings or introducing an activity to pique interest in the topics that will be coveredin the meeting, (O) introducing objectives, informing participants what they will get out of themeeting, (P) pre-assessment, learning what participants know about the topics that will becovered, participatory learning, guiding participants to actively reflect as topics are introduced,and post-assessment, learning what participants understood about the topics covered, and (S)summarize the meeting, reminding participants what the objectives were and how these werefulfilled.Curriculum contentsThe workshop includes contents related to seven
Paper ID #46109Data Mining Application in an Introductory Engineering Physics LabProf. Rodrigo Cutri, Maua Institute of Techonology Cutri holds a degree in Electrical Engineering from Maua Institute of Technology (2001), MSc (2004) ˜ Paulo. He is currently Titular Professor and Ph.D. (2007) in Electrical Engineering - University of SA£o of Maua Institute of Technology, Professor of theDr. Octavio Mattasoglio Neto, Instituto Mau´a de Tecnologia Undergraduate in Physics (1983), Master in Science (1989) and Phd in Education (1998) all of them from Universidade de S
. and S. LeMire, Backward design. Reference & user services quarterly, 2019. 59(2): p. 107-112.12. Michael, N.A. and J.C. Libarkin, Understanding by Design: Mentored implementation of backward design methodology at the university level. Bioscene: Journal of College Biology Teaching, 2016. 42(2): p. 44-52.13. Daugherty, K.K., Backward course design: making the end the beginning. American journal of pharmaceutical education, 2006. 70(6).14. Wiggins, G.P. and J. McTighe, Understanding by design. 2005: Ascd.15. Mohammed, J., K. Schmidt, and J. Williams. Designing a new course using Backward design. in 2022 ASEE Annual Conference & Exposition. 2022.16. Zitha, I., G. Mokganya, and O. Sinthumule, Innovative
anavenue to address shortcomings in engineering education, such as cultural relevance, socio-culturalconnections, and access, by repositioning engineering as a tool for meaningful communityengagement and positive change. Yet much remains to be understood regarding the instructionaland motivational factors that would support students in seeing engineering as a platform for socialchange and impact. In this paper, we investigated migratory students’ beliefs about socially impactfulengineering as an avenue to address long-standing disparities and integrate social justice intoengineering with the goal of empowering them to pursue this field. Migratory students are childrenwhose parent(s) are migratory agricultural workers [12]. For these
(Pergamon), vol. 34, no. 1, pp. 77–91, 2010, doi: 10.1016/j.cag.2009.11.003.[6] M. El Beheiry, S. Doutreligne, C. Caporal, C. Ostertag, M. Dahan, and J. B. Masson, “Virtual Reality: Beyond Visualization,” J Mol Biol, vol. 431, no. 7, pp. 1315–1321, 2019, doi: 10.1016/j.jmb.2019.01.033.[7] S. M. Wang, M. A. Yaqin, and V. H. Lan, “Enhancing Spatial-Reasoning Perception Using Virtual Reality Immersive Experience,” IEEE Transactions on Education, vol. 67, no. 5, pp. 648–659, 2024, doi: 10.1109/TE.2024.3401839.[8] D. Checa and A. Bustillo, “A review of immersive virtual reality serious games to enhance learning and training,” Multimed Tools Appl, vol. 79, no. 9–10, pp. 5501–5527, 2020, doi: 10.1007/s11042
#2024525.Other: Microsoft CoPilot AI was utilized to check the statistical analysis performed in Excel.References:[1] K. H. Dodson, C. Deckard, H. Duke, M. Cohn, N. Shaffer, and E. Buchanan, “Studying the Impact ofHumanitarian Engineering Projects on Student Professional Formation and Views of Diversity, Equity,and Inclusion,” 2021 ASEE Annual Conference, Virtual.[2] N. E. Canney, and A. R. Bielefeldt, “Validity and Reliability Evidence of the Engineering ProfessionalResponsibility Assessment Tool,” Journal of Engineering Education, 2016, 105(3): p. 452-477.[3] K. E. Rambo-Hernandez, R. A. Atadero, C. H. Paguyo, M. Morris, S. Park, A. M. A. Casper, B. A.Pedersen, J. Schwartz, R. A. M. Hensel, “Valuing Diversity and Enacting Inclusion in
projects are robust, secure, and prepared to handlepotential threats.Having a structured and standardized course definition will provide higher education andaccreditation institutions with a compelling case for its inclusion as a required course in thecurricula of engineering programs.References [1] P. Brouse. Systems engineering in a cyber security engineering program. Incose International Symposium, 25 (1):1403–1416, 2015. doi: 10.1002/j.2334-5837.2015.00138.x. [2] S. Bevinakoppa, A. Alazab, and T. Jan. Design of computer networking courses with major in cyber security. International Journal of Education and Learning Systems, 3(2018):111–116, 2018. ISSN 2367-8933. [3] A. Sobel and R. Vetter. Cybersecurity best practices for cise programs
whilearming leaders with the information they need to adapt programs to shifting needs of theinstitution, funding agency, or national security priorities. With these tools, researchadministrators are better equipped to steer innovation and maximize the impact of early-stagefunding.References[1] 2024 EDUCAUSE Horizon Action Plan: Unified Data Models. https://library.educause.edu/resources/2024/3/2024-educause-horizon-action-plan-unified- data-models[2] W. Strielkowski, A. Samoilikova, L. Smutka, L. Civín, and S. Lieonov, “Dominant trends in intersectoral research on funding innovation in business companies: A bibliometric analysis approach,” in Journal of Innovation & Knowledge, 7(4), 100271, 2022.[3] A. Molnar, A. F. McKenna, Q Liu, M
. 18, no. 2, pp. 119–144, Jun. 1989, doi: 10.1007/BF00117714.[14] S. M. Brookhart, Formative Assessment Strategies for Every Classroom: An ASCDAction Tool. ASCD, 2010.[15] J. Hattie and H. Timperley, “The Power of Feedback,” Review of Educational Research,vol. 77, no. 1, pp. 81–112, Mar. 2007, doi: 10.3102/003465430298487.[16] U. S. G. B. Council (USGBC), LEED reference guide for green building design andconstruction. U.S. Green Building Council, 2009. Accessed: Dec. 02, 2024. [Online]. Available:https://thuvienso.hoasen.edu.vn/handle/123456789/9868[17] D. Wiliam, Embedded Formative Assessment. Solution Tree Press, 2011.[18] J. Wei et al., “Chain-of-Thought Prompting Elicits Reasoning in Large LanguageModels”.[19] F. Doshi-Velez and B. Kim
, the chatbot expects the participants to tell them the purpose of the sessionand to introduce themselves. The chatbot also instructs participants to tell it when the participantis ready for feedback on the interaction(s). At this point, the chatbot provides the participant withfeedback towards improvement.Parameters to Program the character.ai chatbot Character Name: Soft Skills Coach Tagline: Hi! Interact with me to help you grow your skills! Description: I am an expert in soft skills. I help engineers improve their communication and soft skills by enabling them to practice with me. I love to challenge the engineers and see how they will react. I do this so that I can give them constructive
Comparison of Eight Change Strategies,” Journal of Engineering Education, vol. 103, no. 2, pp. 220–252, Apr. 2014, doi: 10.1002/jee.20040.[3] S. Ma, G. L. Herman, M. West, J. Tomkin, and J. Mestre, “Studying STEM Faculty Communities of Practice through Social Network Analysis,” Journal of Higher Education, vol. 90, no. 5, pp. 773–799, 2019, doi: 10.1080/00221546.2018.1557100.[4] S. Ma, G. L. Herman, J. H. Tomkin, J. P. Mestre, and M. West, “Spreading Teaching Innovations in Social Networks: the Bridging Role of Mentors,” Journal for STEM Education Research, vol. 1, no. 1–2, pp. 60–84, 2018, doi: 10.1007/s41979-018-0002-6.[5] “EUFD 2023 Home Page.” Accessed: Jul. 25, 2024. [Online]. Available: https
units and an additional Ethernet switch. This provides a flexible, modular approach to building clusters. o Disadvantages: The scalability of Raspberry Pi 5 clusters can become cumbersome as the number of nodes increases. For large-scale clusters, managing multiple power adapters, Ethernet cables, and network configurations may become difficult.• Turing Pi Board 2.0 Cluster: o Advantages: The Turing Pi 2.0’s modular design allows for easy addition of up to 4 CM4 units per board. For larger clusters, multiple Turing Pi 2.0 boards can be stacked, providing an efficient way to scale vertically while maintaining compactness and simplicity. o Disadvantages: While the
on Jan. 15, 2025).[3] R. McCauley, S. Grissom, S. Fitzgerald, and L. Murphy, “Teaching and learning recursive programming: A review of the research literature,” Computer Science Education, vol. 25, no. 1, pp. 37–66, Jan. 2015, Publisher: Routledge eprint: https://doi.org/10.1080/08993408.2015.1033205. [Online]. Available: https : / /doi . org / 10 . 1080 /08993408 . 2015 . 1033205 (visited on Jan. 15, 2025).[4] T. Bell, J. Alexander, I. Freeman, and M. Grimley, “Computer science unplugged: School stu- dents doing real computing without computers,” New Zealand Journal of Applied Computing and Information Technology, vol. 13, no. 1, pp. 20–29, 2009.[5] Binary search trees - CS Unplugged. [Online]. Available: https
attention. In future work, we plan to explorethis relationship further as well students’ understanding of these mindset concepts and therole they play in their learning.References[1] E.L. Deci and R.M. Ryan. 2012. Self-determination theory. In Handbook of theories of social psychology, P.A.M. van Lange, A.W. Kruglanski, and E.T. Higgins (Eds.). Sage Publications Ltd., 416–436.[2] Jacquelynne S. Eccles and Allan Wigfield. 2020. From expectancy-value theory to sit- uated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology 61 (2020), 101859. https://doi.org/10.1016/j.cedpsych.2020.101859[3] Sophia Krause-Levy, William G. Griswold, Leo Porter, and
methods to reinforce independent analysis. ● Using reflective exercises to articulate AI’s impact on decision-making.6.4 Equity and Ethical ConsiderationsAI integration must address equity, ensuring all students have access to tools andtraining. Ethical scenarios in design tasks can foster consideration of societal andenvironmental impacts, aligning with Zepeda et al.’s findings on AI and ethicalreasoning.7. LimitationsThe study is subject to several limitations that may affect the interpretation andgeneralizability of its findings. First, the qualitative case-study design, while valuable forin-depth exploration of student experiences, inherently limits the ability to establishcausality or generalize findings to broader populations
Support Student Data Literacy,” CBE LifeSciences Education, vol. 18, no. 2, 2019, doi: https://doi.org/10.1187/cbe.18-02-0023.[3] E. C. Juárez and D. S. Guzmán, “Learning science and engineering with electronicspreadsheets cycle: a methodological proposal,” Physics Education, vol. 58, no. 2, pp.025010–025010, Jan. 2023, doi: https://doi.org/10.1088/1361-6552/acad5a.[4] J. Calzada Prado and M. Á. Marzal, “Incorporating Data Literacy into Information LiteracyPrograms: Core Competencies and Contents,” Libri, vol. 63, no. 2, Jan. 2013, doi:https://doi.org/10.1515/libri-2013-0010.[5] M. G. Armour-Gemmen, “Engaging First Year Students with Intellectual Property,” in 2020ASEE North Central Section Conference, Morgantown, West Virginia, USA: ASEE
cannot attend regular meetingsand want to check in on what’s new in the NAMOE world; organizing informal meet ups atASEE and other conferences; communicating reminders of the group’s existence to key emaillists where new librarians may encounter us for the first time; and branching out from primarilyfocusing on collections and co-developing instructional resources to support NAMOE outreachand instruction.Finally, anyone supporting NAMOE disciplines is invited to get connected; simply reach out tothe authors and we will welcome you into our pod.Note: The views expressed in this document are those of the author(s) and do not reflect theofficial policy or position of the Department of Defense or the U.S. Government.References[1] B. A. Osif, Using
Statistics. “Table 322.30 Bachelor's Degrees Conferred by Postsecondary Institutions by Race/Ethnicity and Field of Study: 2017-18” in Digest of Education Statistics, 2020.[2] National Academies of Sciences, Engineering, and Medicine. Barriers and Opportunities for 2-Year and 4-Year STEM Degrees, S. Malcom & M. Feder, Eds. National Academies Press, 2016.[3] V. Tinto, Leaving College: Rethinking the Causes and Cures of Student Attrition (2nd ed.). University of Chicago Press, 1993.[4] T. Strayhorn, College Students' Sense of Belonging: A Key to Educational Success for All Students (2nd ed.). Routledge: New York, NY, 2019.[5] B. Zimmerman, “Self-Efficacy: An Essential Motive to Learn,” Contemporary Educational
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opinions, findings, conclusions, and recommendations expressed in this publication arethose of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Reference[1] J. R. Brown, I. Kuznetcova, E. K. Andersen, N. H. Abbott, D. M. Grzybowski, and C. D. Porter, “Full Paper: Implementing Classroom-Scale Virtual Reality into a Freshman Engineering Visuospatial Skills Course,” Jul. 2019. Accessed: Jan. 25, 2024. [Online]. Available: https://peer.asee.org/full-paper-implementing-classroom-scale-virtual-reality-into- a-freshman-engineering-visuospatial-skills-course[2] D. Moyaki, D. May, N. Hunsu, P. Irukulla, and C. T. Gomillion, “Introduction of a Virtual Reality Laboratory in a Tissue Engineering Course
intervention and non-intervention courses and developprotocols for investigating long-term strategy transfer and adoption in students’ engineeringcoursework.AcknowledgmentThis material is based upon work supported by the National Science Foundation under AwardNo. 2315777.ReferenceDattathreya, P., & Shillingford, S. (2017). Identifying the ineffective study strategies of first year medicalschool students. Medical Science Educator, 27, 295-307.Blasiman, R. N., Dunlosky, J., & Rawson, K. A. (2017). The what, how much, and when of studystrategies: Comparing intended versus actual study behaviour. Memory, 25(6), 784-792.McDaniel, M. A., & Einstein, G. O. (2020). Training learning strategies to promote self-regulation andtransfer: The knowledge