operatewith high coordination and efficiency, leading to increased emotional stability and resilience to stress. The integrationof these diverse HRV measures offers a robust tool for monitoring cardiac health, stress levels, and autonomicfunction [16]. HRV Metric Formula Heart Rate Pulse({IBIi }) = 1 PN60 N i=1 IBIi q PN 1 SDNN SDNN({IBIi }) = N −1 i=1 (IBIi − IBI)2
, demonstrates technol- ogy and tools, identifies common pitfalls, and articulates deliverables. As illustrated in Figure 8b, 76.5% of the students from both institutions positively confirm the effectiveness of presentations and videos. Finally, to address students’ concerns about timely feedback, we use the chat feature of Slack chatbot 36 and Zoom 37 to facilitate Q&A sessions. Because of these efforts, we kept students’ satisfaction consistent during and after the Pandemic. 7 Reflections and Future work After conducting a 5-year pedagogic project, we have gained valuable insights from both students and faculty in cybersecurity. In the following, we have compiled a list of lessons learned and recommendations for researchers and educators.• Does
, Goldman E, Eagle KA, Crawford TC. , "Pacemaker recycling: A notion whose time has come," World J Cardiol, vol. 9(4), pp. 296-303, 2017.[12] M. Landolina et al., "The economic impact of battery longevity in implantable cardioverter-defibrillators for cardiac resynchronization therapy: the hospital and healthcare system perspectives," EP Europace, vol. 19, no. 8, pp. 1349-1356, 2016.[13] Y. Quan, X. Wu, S. Zhu, X. Zeng, Z. Zeng, and Q. Zheng, "Triboelectric nanogenerators for clinical diagnosis and therapy: A report of recent progress," Medicine in Novel Technology and Devices, vol. 16, p. 100195, 2022/12/01/ 2022.[14] H.-J. Yoon and S.-W. Kim, "Nanogenerators to Power Implantable Medical Systems," Joule, vol. 4
5 shows the frequency of human rating scores for the mental model dimensions, andFigure 6 shows the frequency of human rating scores for the mental model uses. The color ineach plot corresponds to temperature values. The rows of plots correspond to the model’srankings of the questions (i.e., top choice, second choice, and third choice). For example, “QRanking 1” was all the questions that the model ranked highest, “Q Ranking 2” was all thequestions that the model ranked second highest, and “Q Ranking 3” was all the questions rankedthird highest. Looking at the questions in this way illustrates our main findings. First, themodel’s rankings were not necessarily aligned with the human’s rankings. Second, thetemperature did not produce any
note on higher education," Cambridge Journal of Education, vol. 41, no. 1, pp. 23-36, 2011.[5] A. Sen, Equality of what? In: McMurrin S Tanner Lectures on Human Values. Cambridge: Cambridge University Press, 1980.[6] A. Sen, Development as Freedom. Oxford: Oxford University Press, 1999.[7] D. Crocker and I. Robeyns, Capability and Agency. Cambridge: Cambridge University Press, 2009.[8] M. Walker, "Imagining STEM higher education futures: advancing human well-being," Higher education, vol. 70, no. 3, pp. 417-425, 2015.[9] Q. Liu, D. Turner, and X. Jing, "The “Double First-Class Initiative” in China: Background, Implementation, and Potential Problems," Beijing International Review of Education, vol. 1, pp
not issued in CIP, but there are several means for program faculty to assess studentcontent mastery. Weekly presentations are the most frequent assessments, as students applyprinciples and techniques from the previous workshop in their clinical immersion. Studentspresent their primary research, secondary research, and synthesized conclusions from each weekof learning. Live Q/A with the entire cohort at the end of each presentation is a useful means toestablish appropriate standards among all teams. Department clinicians are encouraged to attendthe final presentations and to give feedback on the work presented by teams, and to supplement itwith their own experience. The final report offers the definitive assessment of student learninggiven it
50-min lectures had to be freed. In the past, three reviewsessions were done before the midterms, and two project description sessions were needed forthe smaller assigned projects. The review sessions were moved to out-of-class Q&A sessions,with the opportunity to watch previously recorded review sessions asynchronously. The projectdescription lectures were not needed anymore. The final (6th) lab session was used to test thetruss and was added to the class time by moving the third midterm to the final exam slot afterclasses ended. Figure 3: Student welding components of their prototype. Figure 4: Student welding the prototype truss connections behind a protective screen. Figure
Analysis: A Methods Sourcebook. SAGE Publications, 2018.[29] J. Saldaña, The Coding Manual for Qualitative Researchers. SAGE Publications, 2021.[30] J. W. Creswell, Qualitative inquiry and research design: choosing among five approaches, 3rd ed. Los Angeles: SAGE Publications, 2013.[31] C. Raffel et al., “Exploring the limits of transfer learning with a unified Text-to-Text Transformer.” arXiv, Jul. 28, 2020. Accessed: Apr. 03, 2023. [Online]. Available: http://arxiv.org/abs/1910.10683[32] OpenAI, “GPT-4 Technical Report.” arXiv, Mar. 27, 2023. doi: 10.48550/arXiv.2303.08774.[33] A. Q. Jiang et al., “Mixtral of Experts.” arXiv, Jan. 08, 2024. doi: 10.48550/arXiv.2401.04088.[34] “AI Coding powered by
career"?: In thisdiversity, Q&A session, mentees were encouraged to ask questions about computing careerequity, and pathways, including the available career opportunities, skillsets required, internshipinclusion in tips, and other related topics. Mentors shared their experience and their opinions oncomputing these topics. (Focus: objective v)iii) develop Mentoring Session 3 - Develop strategies to overcome barriers to reach goals: This wasstrategies to a Q&A session as well where mentees were able to ask questions related to theirbe successful perceived obstacles in computing careers, such as low sense of belonging & self-in computing efficacy, preparedness, academic struggle including
: Topic Modeling and Knowledge Mapping," Educational Technology & Society, vol.24, no. 1, pp. 205–222, 2021.[12] T. K. F. Chiu, H. Meng, C.-S. Chai, I. King, S. Wong, and Y. Yam, "Creation andEvaluation of a Pretertiary Artificial Intelligence (AI) Curriculum," IEEE Transactions onEducation, vol. 65, no. 1, pp. 30–39, 2022, doi: 10.1109/TE.2021.3085878[13] F. Wu, Y. Yang, and Q. He, "Thinking about the curriculum of artificial intelligenceundergraduate specialty: clarifying the connotation, promoting the intersection, and enablingthe application," China University Teaching, no. 2, pp. 14-19, 2019. (in Chinese)[14] D. Hu and Ji Xuan, "Innovation Path and Evolution Mechanism of AI Personal Trainingin US Research Universities," Journal of
balance, 1st law of thermodynamics andsecond law of thermodynamics for control volumes. Please use these equations to answerquestions 15 through 20. dmcv = m i − m e (A) dt i edEcv V2 V2 = Q cv − W cv + m i hi + i + gzi − m e he + e + gze (B) dt i 2 e 2 •dS cv Qj • • • = + mi si − me se + cv (C) dt j Tj i e15. (5 points)Consider the schematic drawing of a general control volume shown bellow. Place mcv, Ecv, Scv
study were asked toadminister the pre-assessment and pre-engagement survey before the unit implementation began,and they administered the post-assessment and post-engagement survey immediately after theunit implementation ended. Pre- and post-mean scores were calculated for both measures, andpaired-samples t-tests were conducted to determine if the differences were statisticallysignificant. The analyses were performed using R Studio and IBM SPSS Statistics 28.0.Statistical assumptions were assessed for data normality through skewness and kurtosis values,as well as Q-Q plots. Skewness values for all variables indicated moderate to low skewness,falling between -1 and 1. Similarly, kurtosis ranged between -2 to +2, meeting acceptable criteriafor
disciplinary cultures from the student perspective,” in 2018 ASEE Annual Conference & Exposition, 2018. [5] B. Batson, “’Other’reasons to invert a class,” in 2016 ASEE Annual Conference & Exposition, 2016. [6] ——, “Introducing metacognition to sophomores and juniors and its effect on academic performance,” in 2018 ASEE Annual Conference & Exposition, 2018. [7] M. A. McVey, C. W. Luchies, and A. J. Villicana, “Impact of high-performing teams on student learning,” in 2017 ASEE Annual Conference & Exposition, 2017. [8] R. D. Manteufel, “Electronic technology used in engineering thermodynamics,” in 2006 GSW, 2006. [9] Q. Dunsworth and Y. Wu, “Effective review of prerequisites: Using videos to flip the reviewing process in a
Conference and Exposition, Conference Proceedings 2017, 2017.[47] Nite, S.; Allen, G.; Bicer, A.; Morgan, J.; Warren, V.; Barroso, L. College freshman beliefs about studying and learning mathematics: Results from a summer engineering calculus bridge program. ASEE Annual Conference and Exposition, Conference Proceedings 2017, 2017.[48] Lee, W.; Brozina, C.; Amelink, C.; Jones, B. Motivating incoming engineering students with diverse backgrounds: Assessing a summer bridge program’s impact on academic motivation. Journal of Women and Minorities in Science and Engineering 2017, 23, 121–145.[49] Whalin, R.; Pang, Q.; Lowe, L.; Latham, J. Assessment of a summer bridge program: Seven years and counting. ASEE Annual Conference and
. Strobel, and A. O. Brightman, "The Development of Empathic Perspective- Taking in an Engineering Ethics Course," Journal of Engineering Education, vol. 106, no. 4, pp. 534-563, 2017.[20] D. A. Martin, E. Conlon, and B. Bowe, "Using Case Studies in Engineering Ethics Education: The Case for Immersive Scenarios through Stakeholder Engagement and Real Life Data," Australasian Journal of Engineering Education, vol. 26, no. 1, pp. 47-63, 2021.[21] N. M. Smith, Q. Zhu, J. M. Smith, and C. Mitcham, "Enhancing Engineering Ethics: Role Ethics and Corporate Social Responsibility," Science and Engineering Ethics, vol. 27, no. 3, 2021.[22] K. Lewis et al., "Teaching the Global, Economic, Environmental, and
”, International Journal of Engineering Education, 38(5A), 2022, 1377-1388.28. Y.-C. Liu, “Renovation of a mechanical engineering senior design class to an industry-tied and team-oriented course”, European Journal of Engineering Education, 42(6), 2017, 800-811.29. Y.-C. Liu and Y.-Q. Dou, “Design of an industry-tied and team-oriented course for mechanical engineering seniors”, Proceedings of ASEE SE Section Annual Conference, University of Florida, Gainesville, FL, USA, April 12-14, 2015.30. Y.-C. Liu, A. Artigue, J. Sommers, and T. Chambers, “Theo Jansen project in engineering design course and a design example”, European Journal of Engineering Education, 36(2), 2011, 187-198.31. Y.-C. Liu and Y.-Q. Dou, “Design of an industry-tied and
October 16th , 2020and Theory parabolic progresses. partial di↵erential equation that, when solved appropriately, gives of an object as3.1.1.2 a function of time Connection to and Theory space. The general form of the heats a parabolic partial di↵erential equation that, when solved appropriately, gives uation 1. Where ⇢ is the density of the object, Cp , is the heat capacity of file of an object as a function of time and space. 2The general form of the heat rmal conductivity, q, ˙ is a generation The general equation
facilitated student feedback. critiques; offered feedback. 14 Practice poster presentations: Submit final poster Facilitated student Each group presented their final presentations and poster and practiced giving a 3-5 Q&A minute overview of their work, with questions from the rest of the class. 15 Poster Session (during lecture None Took attendance sections) during poster
clicking “Show answer.” Blank answers are not counted as earnest attempts.An individual student’s earnestness is calculated as: 𝑄𝑎 𝐸= 𝑄𝑡 * 100where Q a is the number of learning questions for which a student made at least one attemptbefore revealing the answer, and Q t is the number of learning questions the student answered.In addition to earnestness, the study investigated the correlation of student earnestness withquestion difficulty, the length of time in the course, and the size of the class. Earnestness anddata about progression in the Control Systems Engineering zyBook were obtained from
Journal of Research &Method in Education, vol. 45, no. 2, pp. 200–211, Mar. 2022, doi: 10.1080/1743727X.2021.1902980.[15] L. M. Given, H. O’Brien, R. Absar, and D. Greyson, “Exploring the complexities of informationpractices through arts‐based research,” Proc of Assoc for Info, vol. 50, no. 1, pp. 1–4, Jan. 2013, doi:10.1002/meet.14505001003.[16] D. Ozkan, C. Edwards, S. Bhaduri, and D. Bairaktarova, “Sketching with Students: An Arts-informed Qualitative Analysis of First-year Engineering Students,” in 2018 ASEE Annual Conference &Exposition Proceedings, Salt Lake City, Utah: ASEE Conferences, Jun. 2018, p. 30967. doi: 10.18260/1-2--30967.[17] S. Coemans, Q. Wang, J. Leysen, and K. Hannes, “The use of arts-based methods in
MIT Press, 2016.doi: 10.7551/mitpress/10113.003.0011.[17] L.S. Vygotsky.“Mind in society: The development of higher psychological processes” (M. Cole, V. John Steiner, S. Scribner, & E. Souberman, Eds. & Trans.). Cambridge, MA: Harvard University Press. 1978.[18]S. F. Akkerman and A. Bakker, “Boundary Crossing and Boundary Objects,” Review of educational research, vol. 81, no. 2, pp. 132–169, 2011, doi: 10.3102/0034654311404435.[19] M. D. Mumford, S. J. Zaccaro, F. D. Harding, T. O. Jacobs, and E. A. Fleishman. “Leadership skills for a changing world: Solving complex social problems.,” Leadership. Q., 2000, Vol.11, No. 1, pp. 12–23[20] S. Hacker, T. Roberts. “Transformational Leadership: Creating Organizations
Accreditation:2020 Edition.” pp. 1-15.[10] Castro-Cedeno, M., and Mazumder, Q. (2010). “Motivation And Maturity Of EngineeringAnd Engineering Technology Students With And Without Coop Experience.” Paper presented at2010 Annual Conference & Exposition, Louisville, Kentucky. 10.18260/1-2--15686[11] Mosier, R., Yates, H. N., and Adhikari, S. (2021). “Student Internships During Times ofPandemic: A Historical View of Pandemics, Recession and Their Effect on Education.” Paperpresented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference.https://peer.asee.org/37745[12] Schon, D. A. (1987). “Educating the Reflective Practitioner: Toward a New DesignforTeaching and Learning in the Professions.” San Francisco: Jossey-Bass.[13] Wagner, M
, G. L. Ramalho, and T. P. Falcão, "A systematic literature review on teaching and learning introductory programming in higher education," IEEE Transactions on Education, vol. 62, no. 2, pp. 77-90, May 2019, doi: 10.1109/te.2018.2864133[26] E. Gamma, R. Helm, R. Johnson, and J. Vlissides, Design patterns: elements of reusable object-oriented software. Boston: Addison-Wesley, 1994.[27] S. B. Merriam and E. J. Tisdell, Qualitative research: A guide to design and implementation, 4th ed. San Francisco, Ca: Jossey-Bass, 2016.[28] M. Q. Patton, Qualitative research & evaluation methods: Integrating theory and practice. Sage publications, 2014.
Apr. 16, 2018).[3] R. F. Clancy and Q. Zhu, “Global Engineering Ethics: What? Why? How? and When?,” J. Int. Eng. Educ., vol. 4, no. 1, 2022, [Online]. Available: https://digitalcommons.uri.edu/jiee/vol4/iss1/4?utm_source=digitalcommons.uri.edu%2Fji ee%2Fvol4%2Fiss1%2F4&utm_medium=PDF&utm_campaign=PDFCoverPages.[4] H. C. Luegenbiehl, “Ethical autonomy and engineering in a cross-cultural context,” Techné Res. Philos. Technol., vol. 8, no. 1, pp. 57–78, 2004, doi: doi:10.5840/techne20048110.[5] T. Iseda, “How should we foster the professional integrity of engineers in Japan? A pride- based approach,” Sci. Eng. Ethics, vol. 14, no. 2, pp. 165–176, 2008, doi: 10.1007/s11948- 007-9039-0.[6
Arab Review, vol. 3, no. 1, 2024.[8] M. Forehand, "Bloom's Taxonomy," Emerging perspectives on learning, teaching, and technology, vol. 41, no. 4, 2010.[9] J. Doughty, "A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education".[10] C. C. L. Kwan, "Exploring ChatGPT-Generated Assessment Scripts of Probability and Engineering Statistics from Bloom’s Taxonomy," in Technology in Education. Innovative Practices for the New Normal, 2023.[11] Q. Ye, M. Axmed, R. Pryzant and F. Khani, "Prompt Engineering a Prompt Engineer," arXiv, 2024.[12] B. Lund, "The prompt engineering librarian," 2023.
learned from students' cheat sheets: Generic models for designing programming study guides," in 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016: IEEE, pp. 209-211.[7] M. De Raadt, "Student created cheat-sheets in examinations: impact on student outcomes," in Proceedings of the Fourteenth Australasian Computing Education Conference, 2012, vol. 123, pp. 71-76.[8] D. J. Dickinson and D. Q. O’Connell, "Effect of Quality and Quantity of Study on Student Grades," Journal of Educational Research, vol. 83, pp. 227-231, 1990.[9] S. C. Funk and K. L. Dickson, "Crib card use during tests: Helpful or a crutch?," Teaching of Psychology, vol. 38, no. 2, pp. 114-117, 2011.[10
AssessingEngineering Education,” J. Eng. Educ., vol. 93, no. 2, pp. 105–115, 2004,[17] “Intercultural Knowledge and Competence VALUE rubric.” Association of AmericanColleges and Universities, 2009https://www.aacu.org/initiatives/value-initiative/value-rubrics/value-rubrics-intercultural-knowledge-and-competence[18] “Integrative and Applied Learning VALUE rubric.” Association of American Colleges andUniversities, 2009https://www.aacu.org/initiatives/value-initiative/value-rubrics/value-rubrics-integrative-and-applied-learning[19] Hylton, J. B., and Hays, B. A., “Modifying the VALUE Rubrics to Assess theEntrepreneurial Mind-set” Paper presented at 2019 ASEE Annual Conference & Exposition,Tampa, Florida. June 2019.[20] Li, C. Q., & Harichandran, R. S