provided (incorrect and incomplete) Python code todetermine the categorization of the standards instead of performing the categorization itself. WeFigure 2: Llama performance. Key: H → human, AI → Llama, I → identical, D → different, S →similar, B → based on.reprompted it to generate usable results.Figures 2, 3, and 4 summarize the performance of each LLM. Mismatches with the human coderoccurred in about half of the instances: Llama (n = 46), Claude (n = 52), and ChatGPT(n = 41). However, when the LLM had a match with the human coder, it usually had the sameverdict as the human coder because it categorized the level of similarity in the same way as thehuman expert. However, and perhaps surprisingly, there were some instances where the
Development for adoption and adaptation of new instructional practices. In S. Linder, C. Lee, S. Stefl, & K. High (Eds.), Handbook of STEM Faculty Development (pp. 3–13). IAP.Birt, J. A., Khajeloo, M., Rega‐Brodsky, C. C., Siegel, M. A., Hancock, T. S., Cummings, K., & Nguyen, P. D. (2019). Fostering agency to overcome barriers in college science teaching: Going against the grain to enact reform‐based ideas. Science Education, 103(4), 770–798. https://doi.org/10.1002/sce.21519 19Estaiteyeh, M., & DeCoito, I. (2023). Planning for Differentiated Instruction: Empowering Teacher Candidates in STEM Education
platform to obtain direct feedback on system performance. It would also be useful to compare this system with other methods of validating academic credentials that are already on the market to assess the effectiveness and efficiency of the solution against existing alternatives.References[1] O. S. Saleh, O. Ghazali, and N. B. Idris, “Enhancing Academic Certificate Privacy with a Hyperledger Fabric Blockchain-Based Access Control Approach,” SN Comput. Sci., vol. 4, no. 5, p. 602, Aug. 2023, doi: 10.1007/s42979-023-02060-0.[2] E. Wolz, M. Gottlieb, and H. Pongratz, “Digital Credentials in Higher Education Institutions: A Literature Review,” in Innovation Through Information Systems, F. Ahlemann, R. Schütte, and S
built their owndefinitions of leadership [12]. For instance, one of the more popular definitions “borrowed” fromcommunication research defines leadership as follows: “Leadership is not defined by a title orposition, but rather as a process that takes place between leaders, followers, and/or teammembers” [13]. The field of business has defined leadership as “the process of interactiveinfluence that occurs when, in a given context, some people accept someone as their leader toachieve common goals.” [14] Winston and Patterson [15] from organizational studies defineleadership in the following way: A leader is one or more people who selects, equips, trains, and influences one or more follower(s) who have diverse gifts, abilities, and
: Society 5.0 and industry 5.0 as driving forces of future universities,” Journal of the Knowledge Economy, vol. 13, no. 4, pp. 3445–3471, 2022. [5] D. G. Broo, O. Kaynak, and S. M. Sait, “Rethinking engineering education at the age of industry 5.0,” Journal of Industrial Information Integration, vol. 25, p. 100311, 2022. [6] N. Kraus, K. Kraus, O. Manzhura, I. Ishchenko, and Y. Radzikhovska, “Digital transformation of business processes of enterprises on the way to becoming industry 5.0 in the gig economy,” WSEAS Transactions on Business and Economics, vol. 93, no. 20, pp. 1008–1029, 2023. [7] A. del Real Torres, D. S. Andreiana, A.´ Ojeda Rold´an, A. Hern´andez Bustos, and L. E. Acevedo Galicia, “A review of deep reinforcement
competencies of electrical and computingengineers considering market demand," in 2014 IEEE Frontiers in Education Conference (FIE)Proceedings, Oct. 2014, pp. 1-4, IEEE.[3] S. Lappin and S. M. Shieber, "Machine learning theory and practice as a source of insight intouniversal grammar," Journal of Linguistics, vol. 43, no. 2, pp. 393-427, 2007.[4] V. Braun and V. Clarke, "Using Thematic Analysis in Psychology," Qualitative Research inPsychology, vol. 3, no. 2, pp. 77-101, 2006.[5] M. Zhang, K. N. Jensen, R. van der Goot, and B. Plank, "Skill extraction from job postingsusing weak supervision," arXiv preprint arXiv:2209.08071, 2022.M. Zhang, K. N. Jensen, S. D. Sonniks, and B. Plank, "SkillSpan: Hard and soft skill extractionfrom English job postings
] B. E. Lovitts, “Who Is Responsible for Graduate Student Attrition--The Individual or the Institution? Toward an Explanation of the High and Persistent Rate of Attrition,” Apr. 1996. Accessed: Mar. 22, 2024. [Online]. Available: https://eric.ed.gov/?id=ED399878[2] National Science Foundation, “Survey of Graduate Students and Postdoctorates in Science and Engineering (GSS) 2022,” Fall 2022. Accessed: Mar. 22, 2024. [Online]. Available: https://ncses.nsf.gov/surveys/graduate-students-postdoctorates-s-e/2022[3] N. Sellami, B. Toven-Lindsey, M. Levis-Fitzgerald, P. H. Barber, and T. Hasson, “A Unique and Scalable Model for Increasing Research Engagement, STEM Persistence, and Entry into Doctoral Programs,” CBE—Life Sci
, 2008.[6] C. Cone, S. Chadwick, T. Gally, J. Helbling and R. Shaffer, "Interdisciplinary Freshman Experience," in Proceedings of the 2005 American Society for Engineeirng Education Annual Conference and Exposition, Portland, 2005.[7] D. Kurtanich, W. Wood and E. Garchar, "Enginering Technology's Design Across the Disciplines," in Proceedings of the 2008 American Society for Engineeirng Education Annual Conference and Exposition, Pittsburgh, 2008.[8] P. R. Backer and S. Bates, "Introduction to Product Design and Innovation: A Cross- Disciplinary Mini-Curriculum," in Proceedings of the 2005 American Society for Engineering Education Annual Conference and Exposition, Portland, 2005.[9] J. Cho, G. Lomiento, G. M. Ghada and K
.” OAK Ridge Institute for Science andEducation, 2024. [Online]. Available: https://orise.orau.gov/stem/workforce-studies/health-physics-enrollments.html[3] “SpectralLabs.” [Online]. Available: www.SpectralLabs.com[4] H. A. Besser and D. Stacey, “jasis-distance-intro-overview.pdf,” J. Am. Soc. Inf. Sci., 1996.[5] N. Croft, A. Dalton, and M. Grant, “Overcoming Isolation in Distance Learning: Building aLearning Community through Time and Space,” J. Educ. Built Environ., vol. 5, no. 1, pp. 27–64,Jul. 2010, doi: 10.11120/jebe.2010.05010027.[6] H. Mizani, A. Cahyadi, H. Hendryadi, S. Salamah, and S. Retno Sari, “Loneliness, studentengagement, and academic achievement during emergency remote teaching during COVID-19:the role of the God
valuable to include facultyperspectives. A comparative analysis of classes that use mind maps and those that do notcould offer useful insights from the instructors' point of view.References[1] S. J. T. Jansen, H. J. F. M. Boumeester, y R. M. Rooij, «Architecture students and research courses: are they aligned? Students’ attitude towards research courses», Learn. Environ. Res., vol. 25, n.o 2, pp. 549-563, jul. 2022, doi: 10.1007/s10984-021-09380-z.[2] I. Guerra, «WIP: Utilizing Mind-Mapping to Connect the Skillsets of Architecture Students for Both Hands-On and Lecture-Oriented Teaching Approaches», en 2024 ASEE Annual Conference & Exposition, 2024. Accedido: 30 de abril de 2025. [En línea]. Disponible en: https
, no. 2, pp. 2226-2236, Mar. 2024, doi: 10.1109/TSG.2023.3328383.14. L. Cui, Y. Qu, L. Gao, G. Xie, and S. Yu, "Detecting False Data Attacks Using Machine Learning Techniques in Smart Grid: A Survey," Journal of Network and Computer Applications, vol. 170, p. 102808, 2020.15. M. Faheem, M. A. Al-Khasawneh, A. A. Khan, and S. H. H. Madni, "Cyberattack Patterns in Blockchain-Based Communication Networks for Distributed Renewable Energy Systems: A Study on Big Datasets," Data in Brief, vol. 110212, 2024.16. O. O. Tooki and O. M. Popoola, "A Critical Review on Intelligent-Based Techniques for Detection and Mitigation of Cyberthreats and Cascaded Failures in Cyber-Physical Power Systems," Renewable Energy Focus, vol
encouraging collaboration and peercommunication. Future research will involve a larger sample of students at various stages of theirmajors, focusing on how specific aspects of the assignment influence cognitive communicationskills, how such activities can benefit instructors, and exploring how assignments like this canfacilitate ongoing practice throughout the semester.References [1] S. E. Paucarina, J. D. Batallas, M. A. Guerra, y V. Guerra, «Board 44B: Work in Progress: TikTok Format Videos to Improve Communicating Science in Engineering Students», en 2023 ASEE Annual Conference & Exposition, 2023. Accedido: 29 de abril de 2025. [En línea]. Disponible en: https://peer.asee.org/board-44b-work-in-progress-tiktok-format- videos-to
implications for practice and theory. Higher education policy, 15(2), 153-167.[8] United Nations Educational, Scientific and Cultural Organization (UNESCO). (n.d.). Education for sustainable development. UNESCO. Retrieved from https://www.unesco.org/en/sustainable-development/education[9] Krannich, A. L., & Reiser, D. (2023). United Nations Sustainable Development Goals 2030, The. In Encyclopedia of sustainable management (pp. 3862-3867). Cham: Springer International Publishing.[10]Parry, S., & Metzger, E. (2023). Barriers to learning for sustainability: a teacher perspective. Sustainable Earth Reviews, 6(1), 2.[11]Molina-Carmona, R., Pertegal-Felices, M. L., Jimeno-Morenilla, A., & Mora-Mora, H. (2018). Assessing the
sixqualitative questions focused on defining the role of professors and facilitators in the work-basedengineering program of focus. Demographic information was also obtained. All study procedureswere approved by the Minnesota State University, Mankato Institutional Review Board (IRB).The focus of the sub-study was to answer the following research question: how do professors,facilitators, directors, and students perceive the complementary nature of the professor andfacilitator roles? In order to determine the answer to this question, the responses from students(“S”, n=15), professors (“P”, n=7), facilitators (“F”, n=7), and directors (“D”, n=1) for thefollowing questions were examined: ● What does the interaction of professors and facilitators look
Mixed-methods studies 35% Figure 2: Distribution of Study Types (Qualitative, Quantitative, and Mixed-Methods)Setting inclusion criteria and identifying sourcesTo ensure a rigorous and comprehensive review, this study employed inclusion criteria guided bythe SPIDER framework [7]. The selected studies had to meet specific criteria across fivedimensions. First, the Sample (S) was limited to studies involving K-12 or higher educationstudents, with those focusing on non-educational settings or general adult populations excluded.Second, the Phenomenon of Interest (PI) focused on the integration of design-thinkingmethodologies with technology in civic education contexts. Studies without a
assisted in the various collaborative activities. Forboth offerings, the middle school students completed validated and reliable pre- and post-surveysadapted from the Student Attitudes Toward STEM (S-STEM) Survey and the Group Work SkillsQuestionnaire Manual. The S-STEM survey assessed STEM interests, while the Group WorkSkills Questionnaire Manual Survey evaluated collaboration. Preliminary results from aWilcoxon Signed-Rank test indicated positive significance that the 2024 ECE summer campsessions led to greater enjoyment for campers than the 2023 offering. Daily reflection surveyswere also administered to understand the comparison of cohorts and the impact of individualactivities students participated in each day. Results were analyzed to
analyses. These approaches wouldprovide a more comprehensive understanding of the impact of SBL on engineering educationand expand its applicability in different educational contexts.AcknowledgmentThe authors gratefully acknowledge the leadership and financial support of the School ofEngineering at the Universidad Andres Bello, Chile. We also thank the Educational Researchand Academic Development Unit (UNIDA) for its mentorship and guidance in developingresearch skills for higher education faculty.References[1] L. Najev Čačija, M. Lovrinčević, and S. Pivčević, "Exploring the service-learning program in the transition
participants of otherstudent experiences, to evaluate the potential difference in impact of various engineeringactivities.References[1] National Society of Professional Engineers, “Code of Ethics for Engineers” Publication#1102, National Society of Professional Engineers, 2019.[2] National Academy of Engineers, “NAE Grand Challenges for Engineering”, EngineeringChallenges, 2022. [Online]. Available: http://www.engineeringchallenges.org/challenges.aspx[Accessed: October 27, 2022].[3] E. Cech, “Culture of disengagement in engineering education?,” Science, Technology andHuman Values, vol. 39, no. 1, pp. 42-72, 2014.[4] W. Oakes, S. Khalifah, C. Sigworth, P. Fuchs and A. Lefebvre, “EWB-USA and EPICS:Academic Credit, Community Impact, and Student Learning
flexible choice for applicationslike cookie classification and wildcard matching in cybersecurity.3.3.3 Flan-T5Flan-T5 is an enhanced version of the T5 model that incorporates instruction fine-tuning 15 . By training on a mixture of tasks phrasedas instructions, Flan-T5 improves its ability to follow task descriptions and generalize to new tasks. This makes Flan-T5 particularlyeffective in zero-shot and few-shot learning scenarios, where the model needs to perform well on tasks it has not explicitly beentrained on. In the context of identifying wildcard matches in cookies, Flan-T5’s improved understanding of instructions can lead tomore accurate and reliable classification results.4 Results4.1 Experimental SetupThe experimental
Paper ID #48995Be an entrepreneur: Empowering with Data-Driven DecisionsProf. Juan Sebasti´an S´anchez-G´omez, Universidad ECCI ©American Society for Engineering Education, 2025 Be an entrepreneur: Empowering with Data-Driven Decisions Juan Sebastián Sánchez-Gómez1*, Luz Adilia Giraldo Vargas y Viviana Giraldo Vargas2 1 Universidad ECCI, Bogotá, Colombia 2 Politécnico Grancolombiano, Bogotá, Colombia *Corresponding author: jusesago@gmail.comAbstractIn the
studied [14], [15], [16], [17], butthere are fewer studies focusing on engineering students. In a scoping review, Mercer et al.[9] found that insufficient LIS research has focused on undergraduate engineering students,and what research does exist is piecemeal. The review identified key themes from theresearch to date, including: “Student information behavior mirrors that of professionals;Design thinking as a guiding force for information behavior; Design work requires the use ofspecialized information sources” [9, p. 3]. They also discuss the methods and theoreticalapproaches used in their reviewed papers.Using Mercer et al.’s 2019 review [9] as a starting point, this section will review relevantliterature since 2017, to include papers that may
Paper ID #49141Integrating Research Experience into Industry Sponsored Capstone DesignProjects in Mechanical and Manufacturing Engineering TechnologyDr. Irina Nicoleta Ciobanescu Husanu, Drexel University Irina Ciobanescu Husanu, Ph. D. is Associate Clinical Professor and Director of the Engineering Technology Program, Drexel University, Philadelphia, PA. She received her PhD degree in mechanical engineering from College of Engineering at Drexel University and her BS/MS in Aeronautical Engineering from Aerospace Engineering College at Polytechnic University of Bucharest, Romania. Dr. Husanu’ s educational background is in
the CFAs (Social, Knowledge, and Encounter) organized chronologically.In contrast, Group B only had access to an unsorted spreadsheet of activities within the LMS.Group B, thus, did not receive any weekly reminders or LMS-posted information.Group A & B students registered for the CFAs through Google Forms (the links were provided inthe spreadsheet/LMS). Students were asked to provide information about their section, how theyheard about the event, why they wanted to attend it, and any specific question(s) they hoped toget an answer to. Upon completing the form, they received a Google Calendar invite to confirmtheir registration.After each event, students completed a reflection form to document their experiences andconfirm
SATPQ. Students’ Attitude Toward Physics Questionnaire (Abridged) S/N ITEM 1 2 3 PERSONAL FACTOR (PF) 0 I attend Physics classes regularly (Sample) PF1 I am generally interested in learning about physics PF2 I have fun whenever I learn physics topics PF3 I learn things quickly in most physics topics PF4 I am interested in the things I learn in physics PF5 I understand everything taught in physics lesson PF6 The mathematics in physics often makes the subject difficult PF7 I only hate the calculation aspect of physics PF8 I prefer other subjects more than physics PF9 I do not see the importance of physics in everyday life PF10 I am happy doing physics
. Upon re-coding the data, the researchers would meet again to compare whichcode(s) were applied to which responses. In the case of disagreement regarding code assignment,a third researcher would arbitrate and ultimately decide which code(s) were applicable.The researchers determined the inter-rater reliability percentage (i.e., the percentage of agreementon assigned final codes between the researchers) for each survey question and focus group whenapplicable. The percentages for the survey questions can be found in Tab. 1, and the focus groupquestions resulted in values of 97.35%, 97.62%, 100%, and 100% for Q1, Q2, Q3, and Q4,respectively. Table 1: Student Survey Participation by QuestionQuestion n Course Response
PacTransRegion 10 University Transportation Center, the University of Washington, and the WashingtonState Department of Transportation. All students and their parents signed consent forms to grantpermission to be photographed and recorded by the camp sponsor. Students and parents also givepermission for photos, videos, and the project work to be shared through various mediums andplatforms.Reference[1] The Workforce Challenge, Special Report 275, Transportation Research Board, 2003[2] Arık, M., & Topçu, M. S. (2020). Implementation of engineering design process in the K-12science classrooms: Trends and issues. Research in Science Education, 1-23.https://doi.org/10.1007/s11165-019-09912-x[3] National Academy of Sciences, National Academy of
in education andopens the door to new opportunities for personalization and adaptability in virtual environments.Integrating advanced technologies with robust pedagogical approaches is essential to transformteaching and learning in the digital age.References[1] S. Martín, E. López-Martín, A. Moreno-Pulido, R. Meier, and M. Castro, “A Comparative Analysis of Worldwide Trends in the Use of Information and Communications Technology in Engineering Education,” Ieee Access, 2019, doi: 10.1109/access.2019.2935019.[2] O. Kuzu, “Digital Transformation in Higher Education: A Case Study on Strategic Plans,” Vysshee Obrazovanie v Rossii = Higher Education in Russia, 2020, doi: 10.31992/0869-3617-2019-29-3- 9-23.[3] B. R. Aditya
systematically address the research question. STAGE 1: Identifying the research question(s) The research question was formed in this stage that guided our scoping review study: What is the current landscape of literature on the financial well-being of engineering graduate students at master’s degree level, with a focus on financial anxiety and financial stress related to student loans? Based on this research question, we defined our Population-Concept-Context (PCC) framework, which further guided the inclusion and exclusion criteria of our study. We defined the precise terms structured within this framework. Table 2 outlines the PCC framework that we used to define our concept lines
, vol. 31, no. 4, pp. 916-929, 2023, doi: https://doi.org/10.1002/cae.22614.[10] N. K. Lape, "Tiered scaffolding of problem-based learning techniques in a thermodynamics course," in ASEE Annual Conference, Vancouver, BC, 2011, doi: https://doi.org/10.18260/1-2--18365.[11] N. Sambamurthy, A. Edgcomb, and F. Vahid, "Animations for learning design philosophy and student usage in interactive textbooks," in ASEE Annual Conference, Tampa, FL, 2019, doi: https://doi.org/10.18260/1-2--32095.[12] S. J. Stone, B. Crockett, K. S. Xu, and M. W. Liberatore, "Animation Analytics in an Interactive Textbook for Material and Energy Balances," in ASEE Annual Conference, Minneapolis, MN, 2022, doi: https://doi.org