opportunityfor schema construction (germane load) is possible. Note that although our model currently showsonly 4 LESs, we expect that this number will increase over time as more pedagogical approachesare integrated.The main objective of the proposed model is through research find the values of a, b, c, d, e, q, r, s,and t in the equations F2FA (aCL + bGA + cPBL + dSI + eLS) and OA(qCL + rGA + sPBL + tSI)that maximizes student learning and engagement. Where F2FA and OA are the face-to-face andonline activities respectively. CL - collaborative learning, GA - gamification, PBL - problem-basedlearning and SI - social interaction are the LESs, and LS - lecture style the traditional approach.You may think of a, b, c, d, e, q, r, s, and t as the percentage of
development race. Major players in the USA include: Google, Microsoft,IBM and Intel. Some other companies in the quantum computing race include, but are notlimited to: Alibaba, Nokia, Intel, Airbus, HP, Toshiba, Mitsubishi, SK Telecom, NEC,Lockheed Martin, Rigetti, Biogen, Volkswagen, Amgen, D-Wave, 1QBit, Accenture, AlpineQuantum Technologies, AT&T, Cambridge Quantum Computing Limited, Elyah, EverettianTechnologies, Fujitsu, Hitachi, Honeywell, HRL Laboratories, Huawei, ionQ, InfiniQuant,Northrop Grumman, NTT Laboratories, Q-Ctrl, Qbitlogic International, Quantum Circuits,Siemens Healthineers, Delft Circuits, RIKEN, Strangeworks, Xanadu, Zapata Computing, andmany universities worldwide [9,55]. A large number of universities worldwide are engaged
, data, etc.for the CAIB report.11 These were then discussed Socratically as a class. The belowsummarizes/paraphrases students’ responses. Note that these questions and this activity workwith any topic in any field. Q- What was the purpose of the CAIB? A- The CAIB sought to identify the causes of the Columbia’s loss and recommend actions for the resumption of U.S space flight activity. Q- What questions did the CAIB principally try to answer? Page 13.1244.5A- What caused the loss of Columbia? What contributory factors may have been present?What actions should NASA and the U.S. government take in the future to reduce
) dtthis equation can be rewritten as d 2 q (t ) dq (t ) 1 L 2 +R + q (t ) = v(t ). (14) dt dt CFinally, since q(t ) = Cvc (t ), (15)we have d 2vc (t ) dv (t ) Page 10.394.7 LC 2 + RC c + vc
E v aluator: N IK O S J. M O U R T O S D ate of E v aluation: 13-D ec -97 T A B LE 1 - C ourse S pecific T opics S um m ary (S ee notes at end of table to ex plain abb rev ia tions ) M A JO R T O P IC K E Y W O R D S E XP E C T E D A S S E S S M E N T M E T H O D (s) P R E R E Q U IS IT E S T E C H N IC A L T O P IC S (1 to 3) LE V E L A T (E XA M , H W , E X P , IP , G P , N A , O T H E R ) C O U R S E (s) (N o m ore than 15 total
knowledge by integratingtechnological tools with pedagogical strategies. Flipped learning (FL) reverses traditionalteaching methods by providing course materials on datapath design beforehand, fostering active,self-directed learning in the classroom. The pedagogy is enriched with structured practiceexercises, enhancing students’ understanding of datapath design, along with theirproblem-solving, analytical, and critical thinking skills. The effectiveness of this method isvalidated through various assessments, including homework, exams, Q&A sessions, and studentfeedback, with a positive comparison to the instructor’s previous teaching experiences. Thisholistic evaluation confirms the efficacy of this innovative approach in improving the
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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
1.32 1.71 +.39**o. PowerPoint software 2.50 2.45 -.05p. Blogs 1.19 1.63 +.44**q. Podcasting .58 1.21 +.63*r. Modeling software .88 1.46 +.58*s. Computer game development software .76 1.15 +.39**t. Robotics programming software .54 1.27 +.73**Difference from pre to post is statistically significant at alpha ≤ .05**Difference from pre to post is
model when paired with an interdisciplinary educational model. Our study aims tofill in this gap and show the impact of such an approach, and it efficacy in amultidisciplinary scope.The step taken by VCU-Q (Virginia Commonwealth University-Qatar) and TAMU-Q(Texas A&M University at Qatar) is a continuation to previous efforts towardsimplementing design thinking approach in a multidisciplinary context. Theinstructional strategy for multidisciplinary projects involving engineering and artsstudents is presented in this study. The strategy attempts to encourage innovation,collaboration, and creativity among students from various academic fields. We discussa project where engineering and art students collaborated to construct interactive
velocities thatthen feeds into the kinetic energy term of energy balances, you end up with two pathwaysthrough volumetric flowrate using area to get to that point, one for liquids and one for gases.Potential energy, heat (Q) and shaft work (Ws) also appear leading up towards the top of thediagram where internal energy (ΔU) and enthalpy (ΔH) appear. One can then bridge over tospecific internal energies and enthalpies (U-hat and H-hat) to the left through temperature andpressure information. One can also calculate enthalpies and internal energies from integrals ofthe appropriate heat capacities in the upper right. Phase change information may also be neededthrough ΔHvap, ΔHfus and ΔUvap, ΔUfus. It should be noted that even after several years of
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Experience: A Critical Race Study - ProQuest,” 2014. https://www.proquest.com/openview/be21b170607fa38fe2937b190967ba0f/1?cbl=18750&p q-origsite=gscholar&parentSessionId=0e19Gk%2BrNimRzwLAuw8Iu6TZAFOrxSQK6Cq D%2BU90XDY%3D (accessed Sep. 06, 2022).[10] T. Strayhorn, F. Bie, L. Leroy, and B. Blossom, “African American and Hispanic STEM students’ engagement at predominantly White institutions | Request PDF,” 2014. https://www.researchgate.net/publication/289745511_African_American_and_Hispanic_ST EM_students%27_engagement_at_predominantly_White_institutions (accessed Aug. 26, 2022).[11] M. M. Camacho and S. M. Lord, The Borderlands of Education: Latinas in Engineering. Lexington Books, 2013.[12] Z. Hazari, G. Sonnert, P
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. Q. Gates, P. J. Teller, A. Bernat, N. Delgado, and C. K. Della-Piana, "Expanding Participation in Undergraduate Research Using the Affinity Group Model*," Journal of Engineering Education, vol. 88, no. 4, pp. 409-414, 1999, doi: 10.1002/j.2168- 9830.1999.tb00467.x.[33] J. S. Lamancusa, J. E. Jorgensen, and J. L. Zayas-Castro, "The Learning Factory—A New Approach to Integrating Design and Manufacturing into the Engineering Curriculum," Journal of Engineering Education, vol. 86, no. 2, pp. 103-112, 1997, doi: 10.1002/j.2168-9830.1997.tb00272.x.[34] M. E. Gorman, L. G. Richards, W. T. Scherer, and J. K. Kagiwada, "Teaching Invention and Design: Multi-Disciplinary Learning Modules," Journal of
modeling and simulation of emergent behavior in air transportation,” Complex Adaptive Systems Modeling, vol. 1, no. 1, pp. 1–26, Dec. 2013, doi: 10.1186/2194-3206-1-15/FIGURES/10.[7] E. Z. Berglund and M. Asce, “Using Agent-Based Modeling for Water Resources Planning and Management,” J Water Resour Plan Manag, vol. 141, no. 11, p. 04015025, May 2015, doi: 10.1061/(ASCE)WR.1943-5452.0000544.[8] Q. Huang, D. C. Parker, T. Filatova, and S. Sun, “A review of urban residential choice models using agent-based modeling,” vol. 41, pp. 661–689, 2014, doi: 10.1068/b120043p.[9] M. W. Macy and R. Willer, “FROM FACTORS TO ACTORS: Computational Sociology and Agent-Based Modeling,” Annu. Rev. Sociol, vol. 28, pp. 143–66, 2002
-2020/ (accessed Nov. 04, 2019).[2] “ASME Code of Ethics of Engineers,” 2012.[3] J. Lucena, G. Downey, B. Jesiek, and S. Elber, “Competencies Beyond Countries : The Re-Organization of Engineering Education in the United States , Europe , and Latin America,” J. Eng. Educ., no. October, pp. 433–448, 2008, doi: 10.1002/j.2168- 9830.2008.tb00991.x.[4] K. Q. Fisher, A. Sitomer, J. Bouwma-gearhart, and M. Koretsky, “Using social network analysis to develop relational expertise for an instructional change initiative,” Int. J. STEM Educ., vol. 5, 2019.[5] S. E. Brownell and K. D. Tanner, “Barriers to faculty pedagogical change: Lack of training, time, incentives, and...tensions with professional identity
Conference, New Orleans, LA, June, 2016, pp. 26-29.[28] C. Brush, L. F. Edelman, T. Manolova, and F. Welter, "A gendered look at entrepreneurship ecosystems," Small Business Economics, vol. 53, no. 2, pp. 393-408, 2019, doi: 10.1007/s11187-018-9992-9.[29] B. Ozkazanc-Pan, K. Knowlton, and S. Clark Muntean, "Gender inclusion activities in entrepreneurship ecosystems: The case of St. Louis, MO and Boston, MA," Louis, MO and Boston, MA (June 7, 2017), 2017.[30] P. A. Gompers and S. Q. Wang, "Diversity in innovation," National Bureau of Economic Research, 2017.[31] Q. Wang, "Higher education institutions and entrepreneurship in underserved communities," Higher Education, pp. 1-20, 2020, doi: 10.1007/s10734-020
P. environment leadership O, create a collaborative and Q. goals inclusive environment P, establish goals Q, R. tasks plan tasks R, and meet objectives S S. objectives SO 6. an ability to develop T and conduct U T. develop [categorized as a “student action”] appropriate experimentation, analyze and U. conduct [categorized as a “student action”] interpret data V, and use engineering V. data judgment to draw conclusions W W. conclusions SO 7. an ability to acquire and apply new X. new knowledge knowledge X as needed, using appropriate Y. learning strategies learning strategies YTable 3. Evaluation of Graded
pay for theirbachelor’s degree, as they will only be responsible for costs in their first 3 years.In addition to recruiting and preparing to support our first cohort of Data Science MS students,we are working to build community between faculty and students on both campuses. One projectthat is already underway is a shared seminar series featuring external speakers from diversebackgrounds sharing their data science scholarship. Due to the ongoing pandemic, the seminarsin winter/spring 2022 were fully virtual, with a presentation from the speaker and Q&A from thepublic. We also organized a separate follow up session for the speaker to meet with just students,which was a well-received opportunity for students to ask questions and learn more
, L. Babun, E. Tekiner, and A. S. Uluagac, “Minos: A lightweight real-time cryptojacking detection system,” in NDSS, 2021.[13] J. Franco, A. Aris, B. Canberk, and A. S. Uluagac, “A survey of honeypots and honeynets for internet of things, industrial internet of things, and cyber-physical systems,” IEEE Communications Surveys Tutorials, vol. 23, no. 4, pp. 2351–2383, 2021.[14] A. Q. Gates, H. Thiry, and S. Hug, “Reflections: The computing alliance of hispanic-serving institutions,” ACM Inroads, vol. 7, no. 4, p. 69–73, nov 2016.[15] J. T. F. on Cybersecurity Education, Cybersecurity Curricula 2017: Curriculum Guidelines for Post-Secondary Degree Programs in Cybersecurity. New York, NY, USA: Association for Computing
model a better fit for our data Sample than the smaller model? size A 3pt scale (mainly EC, 1 course) No (F (1) < 1, p = 0.95), no random effect 69 B 3pt scale (1+ Q, 1 course) Yes (χ2 (1) = 9.25, p = 0.0023) 233 C 5pt scale (1+ Q, 2 sessions) No (χ2 (1) = 0.20, p = 0.6582) 302 D 10pt (subtractive, 1Q, 2 sessions) Yes (χ2 (1) = 7.54, p = 0.0060) 55 E1 6pt scale x 3 prompts (2 sessions) Yes (χ2 (1) = 4.14, p = 0.0419) 125 E2 6pt scale x 3 prompts (2 sessions) Yes (χ2 (1) = 5.69, p = 0.0171) 141 Table 2
in future course offerings? 2. What is one thing that you really wish could change about this class that would help you learn better? 3. Is there anything else that the professor should know?After we collect students’ mid-term feedback, we identify a list of things we can implement andadjust in our teaching for the second half of the term to improve students’ learning experienceand go over this list with students in class. We also identify a list of things we will implement forfuture course offerings and a list of things we will not implement and explain to students why.For example, we have included more interactive problem solving sessions and more Q&Asessions in class. On the other hand, when students requested us to get rid