’ comprehension of NLP, preparing them forfuture developments in the subject and developing the practical skills necessary for their jobs.Keywords: Natural Language Processing (NLP), Undergraduate Education, Interactive Tools, PythonLibraries, Interdisciplinary Case Studies.1 IntroductionThe rapid advancement of digital technology, especially in artificial i ntelligence ( AI), i s s ignificantly re-shaping the landscape of higher education. Traditional lecture-centered teaching is increasingly being sup-plemented by dynamic, technology-enhanced approaches. In today’s education, AI-powered platforms andvirtual learning environments have become essential, leading to a new emphasis on adaptable, personalizedlearning experiences that cater to diverse
entire MLprocess, fostering computational thinking and problem-solving [18]. Kajiwara et al. employed agamified ML role-playing game, simplifying concepts for high school students [15]. Ethicalconsiderations were integrated through projects like VotestratesML, which explored AI's societalimpacts in democratic contexts [20], and Kong et al.’s collaborative projects addressing fairnessand bias in AI systems [16].3.5 Results for RQ4: Which of the AI4K12 Five Big Ideas frameworks are being included?The AI4K12 Five Big Ideas rubric assessed studies on Perception, Representation & Reasoning,Learning, Natural Interaction, and Societal Impact, scoring from 0 (not addressed) to 4 (thoroughintegration). Results highlighted strengths in Learning
method, even if the answer was incorrect, which indicates a strongemphasis on students’ ability to grasp and apply concepts:“If you show me the process that youhave done, and you do the right process and doing the problem. I will give you 90% of the creditirregardless of if you get the right answer or not.” Additionally, ID1’s grading system wasflexible, allowing for student redemption. According to ID1, poor performance on an initial testcould be offset by improvement on subsequent assessments. This flexibility might encouragecontinuous learning, as students were not penalized heavily for early mistakes and instead aregiven the opportunity to demonstrate growth over the course of the semester: “I make the courseso that hey, you flunk the first
Paper ID #45761A Gender-based Comparative Analysis of Motivations and Challenges in ConstructionEducationDr. Saeed Rokooei, Mississippi State University Saeed Rokooei is an associate professor in the Department of Building Construction Science at Mississippi State University. Dr. Rokooei’s primary research interests include community resilience, engineering education, simulation and serious games, project management methodologies, data analytics, creativity and innovation, and emerging technologies.Mr. George D Ford P.E., Mississippi State University Dr. George Ford P.E. is the Director of Mississippi Stateˆa C™s Building
-human transference system encompasses user inter-action mechanisms, real-time control pathways, parameter sharing between local and cloud AImodels, and an ethical optimization process that integrates user satisfaction and privacy safeguards.This section outlines the principal equations that govern how user inputs and system states flowthrough the AI middleware, how control signals are assigned to local and cloud components, andhow experiential knowledge is updated across different domains.First, let us define the user interactions across multiple modalities, such as text or speech: (m) (m) S(t
writing In-class activity2.1 Week 1: First In-person Meeting Activity: Setting Up Your Goal2.1.1 Use of MentimeterIn the first in-person class, the course expectations are introduced. A Mentimeter is used to makethe session interactive and engaging. The following questions are asked during the first meeting,allowing students to see their responses in real-time: How are you today? Use one word todescribe how you feel now. How do you rate your current writing skill? (0-100 points). Howmany journal articles (not including conference presentations) have you published so far? Whatare your expectations for this course? Have you used AI (e.g. ChatGPT) in your academic work?Which area(s) do you find challenging when starting to write? How are
non-traditional active military and Veteran student groups.References[1] S. E. Lewis, "Retention and Reform: An Evaluation of Peer-Led Team Learning," Journal of Chemical Education, vol. 88, no. 6, pp. 703-070, 2011.[2] L. Gafney and P. Varma-Nelson, Peer-Led Team Learning Evaluation, Dissemination, and Institutionalization of a College Level Initiative, Springer Science & Business Media, 2008.[3] J. Liou-Mark, A. E. Dreyfuss and L. Younge, "Peer Assisted Learning Workshops in Precalculus: An Approach to Increasing Student Success," Mathematics & Computer Education, vol. 44, no. 3, p. 249, 2010.[4] M. Hernandez-de-Menendez, A. V. Guevara, J. C. T. Martinez, D. H. Alcantara and R. Morales-Mendez, "Active learning in
the advising model for broaderimplementation, while also exploring additional strategies to deepen student engagement in bothacademic and extracurricular activities. It would also be very informative to compare the trendsin engineering to other programs. By fostering an inclusive, supportive educational environment,mechanical engineering programs can more effectively nurture, retain, and empower diversetalent—critical for driving innovation, promoting equity, and advancing progress in the field.References[1] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, Engagement, and Migration in Engineering Programs,” J. Eng. Educ., vol. 97, no. 3, pp. 259–278, 2008, doi: 10.1002/j.2168
. 9590, pp. 859–877, Sep. 2007, doi: 10.1016/S0140-6736(07)61238-0.[2] S. Dattani, L. Rodés-Guirao, H. Ritchie, and M. Roser, “Mental Health,” Our World in Data, Dec. 2023, Accessed: Nov. 15, 2024. [Online]. Available: https://ourworldindata.org/mental-health[3] D. Bhugra, A. Till, and N. Sartorius, “What is mental health?,” Int J Soc Psychiatry, vol. 59, no. 1, pp. 3–4, Feb. 2013, doi: 10.1177/0020764012463315.[4] “American College Health Association-National College Health Assessment Spring 2007 Reference Group Data Report (Abridged),” Journal of American College Health, vol. 56, no. 5, pp. 469–480, Mar. 2008, doi: 10.3200/JACH.56.5.469-480.[5] J. Hefner and D. Eisenberg, “Social support and mental health
orthe percentage successful students, i.e. students who obtained >70% almost doubled in number.Note, students were not told in Summer 2024 that the best 2 out of 3 tests would be considered toentice them to learn the course properly. The only encouragement they had was the two-attempttests. For this reason, one sees the participants percentage was still 100% for T3’s first attempt,A1 in comparison to the 78% for T3 in Figure 1. The interesting, yet surprising results is that withless possibility of cheating students still did better, while they were given more chances (MAT) tolearn and do well in the course, given that the examination material is the same for both abovecourses, no adjustments done to any of the questions pools
-learning projects with community partnersnationally and internationally.References[1] Morin, M. P., & Ducoste, J. J., & Brown, E. C. (2024, June), WIP: Piloting a Comprehensive Needs Assessment to Enhance Engineering Faculty Development Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2—48314.[2] E. S. Oztay, S. Aydin Gunbatar, and B. Ekiz Kiran, ‘Assessing Chemistry Teachers’ Needs and Expectations from Integrated STEM Education Professional Developments’, Journal of Pedagogical Research, vol. 6, no. 2, pp. 29–43, 2022.[3] Ulrich, K., & Eppinger, S. (2012). Product design and development. (5th ed.). New York City: McGraw-Hill Higher Education.[4] M
Paper ID #45472Innovative Approaches to Medical Device Design Education: A CollaborativeIndustry-Academia ModelDr. Vivek Singhal, University of Wisconsin - StoutDr. Kenan Baltaci, University of Wisconsin - Stout Kenan Baltaci is an Assistant Professor at University of Wisconsin-Stout, in the Electrical Engineering Technology Department. He received B.S. in electrical engineering degree from Istanbul Technical University in Turkey. Following, a masterˆa C™s degree a ©American Society for Engineering Education, 2025 Innovative Approaches to Medical Device Design Education: A Collaborative
/. [AccessedApril 5, 2024].[4] S. Lehmann, "Low carbon districts: mitigating the urban heat island with green roofinfrastructure," City, Culture and Society, vol. 5, no. 1, p. 1-8. 2014. [Online]. Available:http://www.sciencedirect.com/science/article/pii/S1877916614000046. [Accessed April 5,2024].[5] M. Premalatha, S. M. Tauseef, T. Abbasi, and S. A. Abbasi, "The promise and theperformance of the world's first two zero carbon eco-cities," Renewable and SustainableEnergy Reviews, vol. 25, p. 660-669, September 2013. [Online]. Available:http://www.sciencedirect.com/science/article/pii/S1364032113003146. [Accessed March 13,2024].[6] A. Janik, A. Ryszko and M. Szafraniec, Smart and sustainable cities: in search ofcomprehensive theoretical
graduates.Future research could examine the long-term impact of KEEN Fellowships on recipients'teaching practices and career trajectories. Additionally, studies investigating the broader impactof fellows' projects on engineering education across institutions would provide valuable insightsinto the program’s influence on student learning outcomes, institutional cultures, and even onindustry readiness. Such research could ultimately reinforce the role of KEEN in shapingengineering education that meets the evolving demands of society.References[1] Huang-Saad, A., & Bodnar, C. (2020). Examining current practice in engineeringentrepreneurship education. Sage Journals.[2] Bosman, L., & Fernhaber, S. (2018). Teaching the entrepreneurial mindset to
education." Career and Technical Research Education. vol. 41(2), pp. 117-140, 2016.[9] N.L. Leech, C.A. Haug, & S. Brun, "Differences in Faculty Research Motivation: How Gender, Tenure Status, Years in Higher Education, Rank, and Type of Degree Impact Productivity," Research in the Schools, vol. 24(2), 2017.[10] C.A. Moss-Racusin, J. van der Toorn, J.F. Dovidio, V.L. Brescoll, M.J. Graham, & J. Handelsman, "A “Scientific Diversity” Intervention to Reduce Gender Bias in a Sample of Life Scientists." CBE.Life Sciences Education, vol.15(3), 2016.[11] C. Okoli, & S. Pawlowski, "The Delphi method as a research tool: an example design considerations and applications," Information and Management, vol. 42, 15-29, 2004.[12
ascertainwhether they significantly improve student writing would be valuable.References [1] A. Barton, J. A. Grimes, S. Sanders, and A. Nordin, “WIP: Comparing engineering faculty’s perceptions of undergraduate student writing abilities with students’ self- perceptions,” in Proc. 129th ASEE Annu. Conf. & Expo, 2022, doi: 10.18260/1-2--41287 [2] D. McVey, “Why all writing is creative writing,” Innovations in Education and Teaching International, vol. 45:3, pp. 289-294, 2008. [Online]. Available: 10.1080/14703290802176204 [Accessed January 22, 2024]. [3] S. P. Shama Johnny, “Stylistics of technical writing and creative writing: A comparative and contrastive study,” Research Journal of English Language and Literature
–English Composition II) as college students or as high school Advance Placement (AP) ones.For this study the produced technical reports were assessed by the following “quality indicators,”where “completeness” refers to the inclusion of the information and level of detail expected intypical engineering technical reports: - Overall organization - Introduction completeness - Solution(s) communication: description in text; figures quality and pertinency; figure titles (legends), captions and organization; and adequate integration of text and figures - Results communication (i.e., post-design success, problems or failures): description in text and figures (quality, pertinency, and titles) - Conclusions and
,” Educational Psychology Review, vol. 26, no. 4, pp. 555–569, 2014.[3] A. Name(s), “Impacts of color coding on programming learning in multimedia environments,” Frontiers in Psychology, vol. 12, p. 773328, 2021. [Online]. Available: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.773328/full[4] A. Al-Ayash, R. T. Kane, D. Smith, and P. Green-Armytage, “The influence of color on student emotion, heart rate, and performance in learning environments,” Color Research & Applica- tion, vol. 41, no. 2, pp. 196–205, 2016.[5] W. W. Cohen, P. Ravikumar, and S. E. Fienberg, “A comparison of string distance metrics for name-matching tasks,” in IIWeb 2003: Proceedings of the 2003 IJCAI Workshop on Informa- tion
Intelligence, vol. 6, p. 100210, 2024/06/01/ 2024, doi: https://doi.org/10.1016/j.caeai.2024.100210.[8] C. Romero, S. Ventura, M. Pechenizkiy, and R. Baker, Handbook of Educational Data Mining. 2010.[9] B. Hamner and M. D. Shermis, "Contrasting state-of-the-art automated scoring of essays: analysis," 2012.[10] C. Dede, "The Role of Digital Technologies in Deeper Learning. Students at the Center: Deeper Learning Research Series," 2014.[11] B. Williamson, R. Eynon, and J. Potter, "Pandemic politics, pedagogies and practices: digital technologies and distance education during the coronavirus emergency," Learning, Media and Technology, vol. 45, no. 2, pp. 107-114, 2020/04/02 2020