activitiesAdaptations were made for class activities such as in-class exercises and group discussions. Fourparticipants stated that they initially had Q&A time for in-class exercises, but these activitieswere discontinued because of the lack of feedback or inconvenience of communicating to bothvirtual and in-person students. For similar reasons, two participants canceled group discussionsessions for their courses.Two participants tried using the Zoom breakout room function for group discussion. Two otherparticipants mentioned using polls to help engage students. Also, two other participantsmentioned using more help from teaching assistants to moderate virtual discussions.3.2.6. Adaptations made for examsExams were held online for the hybrid classes and
. The second semester is mechanics and the third semester is electricity and magnetism.BackgroundThe following chronology was constructed with guidance from the large southwestern universitySenior Associate Dean for Academic Affairs during an interview with the author.In spring 2016, the Physics Mechanics course multi-semester revealed a trend of a failure/q-droprate approaching 30%. This is a foundational course for engineering students, and, as a result,many engineering students were opting to take this course at other colleges and transfer the hoursor abandoning their engineering vision completely. To investigate the sources and ramificationsof this alarming failure/q-drop rate, at the direction of the Dean of Engineering, a facultycommittee
% ofstudents attended regularly. The rate of D’s, F’s, Q drops and withdraws (DFWQ rates) for SIstudents was 2.8% in fall 2020, compared to a 9.1% DFWQ rate for SI students in fall 2019. SIstudents who had less programming experience (potentially through systemic educationalinequities) than their advantaged counterparts, also had statistically significant higher courseGPAs when compared to non-SI students who had the same prior experience. The teamdetermined several emerging themes from the survey and interview responses, such as aburgeoning sense of community, comfort with peers over time, accountability and structure, andan awareness of SI session activities as diverse and different than other learning experiences. Wehypothesize these all had strong
. "In e ac i e ial em f linea ci c i anal i : Im ac nlea ning and n el ial ." Ed ca i nal P ch l g 2004 (1998): 2010.[3] Sk mme, B. J., Ra e , P. J., Whi la ch, C. D., Wang, Q., Ba , A., Q ick, J. M., ... &F ank, T. S. (2013, Oc be ). C m e -aided in c i n f in d c linea ci c i anal i .In 2013 IEEE F n ie in Ed ca i n C nfe ence (FIE) ( . 314-319). IEEE.[4] Whi la ch, C. D., Wang, Q., & Sk mme, B. (2012). A ma ed blem and l i ngene a i n f a e f c m e -aided in c i n in elemen a linea ci c i anal i . In 119 hASEE ann al c nfe ence and e i i n. Ame ican S cie f Enginee ing Ed ca i n.
where needed during your presentation. ● Engage the class in discussion throughout your presentation by asking open-ended questions or soliciting comments. Consider the types of questions that will promote an interesting discussion (opinion questions, hypothetical questions, questions about how your classmates might react in a given situation, and so forth). Also think about asking follow-up questions if you want to advance a particular point. However, always be keenly aware of the clock and curtail class discussion when necessary to stay within your time limit. After your presentation, we will reserve 5 minutes for audience Q & A.APPENDIX B. Course resource (engineering codes of ethics quick links provided
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and Cases,Belmont, CA: Wadsworth, 2013.[8] B.K. Jesiek, Q. Zhu, A. E. Woo, J. Thompson, and A. Mazzurco, “Global EngineeringCompetency in Context: Situations and Behaviors,” Online Journal for Global EngineeringEducation, vol. 8, no. 1, pp. 1-14, 2014.[9] B. Barry and J. Herkert, “Engineering Ethics” in Cambridge Handbook of EngineeringEducation Research. Eds. A. Johri and B.M. Olds. Cambridge Press, 2014, pp. 673-692.[10] J. R. Herkert, “Ethical challenges of emerging technologies,” in The Growing Gap BetweenEmerging Technologies and Legal-Ethical Oversight, G. E. Marchant, B. R. Allenby, and J. R.Herkert, Eds., Dordecht, Germany: Springer, 2011, pp. 35-44.[11] J. R. Herkert, “Continuing and Emerging Issues in Engineering Ethics Education
equivalent arrow names in the submission and answer. A regularexpression is used to replace instances of the submission arrow names in the answer equationand vice-versa. If the arrows were drawn in different directions in the submission and answerdiagram, then a negative sign is added during the replacement. We check both the submissionagainst the answer and the answer against the submission due to the possible algebraiccombination of terms. For example, a problem may have two applied forces, both called Q, butthe instructor may decide to label them Q1, Q2. The student may submit both forces labeled Q,and neither the instructor answer nor student submission are wrong. If just the submission isconverted to the instructor variable space, then the
High School,” The High School Journal, vol. 97, no. 2, pp. 92–106, 2013, doi: 10.1353/hsj.2013.0026.[12] S. L. Dika, M. A. Pando, B. Q. Tempest, and M. E. Allen, “Examining the Cultural Wealth of Underrepresented Minority Engineering Persisters,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, p. 05017008, Apr. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000358.[13] R. M. Groves, F. J. F. Jr, M. P. Couper, J. M. Lepkowski, E. Singer, and R. Tourangeau, Survey Methodology, 2nd edition. Hoboken, N.J: Wiley, 2009.[14] D. C. Braun, C. Gormally, and M. D. Clark, “The Deaf Mentoring Survey: A Community Cultural Wealth Framework for Measuring Mentoring Effectiveness with Underrepresented Students,” LSE, vol. 16, no. 1, p. ar10
development of autobiographical memory,” Psychological Review, vol. 104, pp. 499-523, 1997.12. D. B. Pillemer, Momentous events, vivid memories. Cambridge, MA: Harvard University Press, 1998.13. M. C. Green & T. C. Brock, “The role of transportation in the persuasiveness of public narratives,” Journal of Personality and Social Psychology, vol. 79, pp. 701-721, 2000.14. Q. Wang, Q. Song, & J. B. K. Koh, “Culture, Memory, and Narrative Self-Making,” Imagination, Cognition, and Personality, vol. 37, no. 2, pp. 199-223.15. H. A. Bosma, & E. S. Kunnen, “Determinants and mechanism in ego identity development: A review and synthesis,” Developmental Review, vol. 21, pp. 39-66, 2001.16. A. Thorne, “Culture and cognitive development
Metaphor F-M Perceptual metaphor F-M-P Figurative Language F Lexicalized metaphor F-M-L Personification F-P Simile F-S Synecdoche F-Y Metonymy F-M Analogy F-A Question S-Q Illustrative S-E Teaching Style S Example Imagination S-I Repetition
).[26] V. Venkatesh, S. A. Brown, and H. Bala, "Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information System.," MIS Q., vol. 37, no. 1, pp. 21–54, Mar. 2013.[27] M. Friedman, "Use of ranks to avoid the assumption of normality implicit in the analysis of variance.," J. Am. Stat. Assoc., vol. 32, no. 200, pp. 675–701, Dec. 1937.[28] J. Walther, N. W. Sochacka, and N. N. Kellam, "Quality in Interpretive Engineering Education Research: Reflections on an Example Study.," J. Eng. Educ., vol. 102, no. 4, pp. 626–659, Oct. 2013.[29] J. Saldaña, The coding manual for qualitative researchers., 3rd ed. SAGE, 2015.[30] H. W. Marsh and R. G. Craven, "Reciprocal Effects of Self
. R. Tenenbaum, F. J. Crosby, and M. D. Gliner, “Mentoring Relationships in Graduate School,” J. Vocat. Behav., vol. 59, pp. 326–341, 2001.[26] N. Van der Linden et al., “Gaining insight into doctoral persistence: Development and validation of Doctorate-related Need Support and Need Satisfaction short scales,” Learn. Individ. Differ., vol. 65, 2018.[27] J. H. Waldeck, V. O. Orrego, T. G. Plax, and P. Kearney, “Graduate student/faculty mentoring relationships: Who gets mentored, how it happens, and to what end,” Commun. Q., vol. 45, no. 3, pp. 93–109, Jun. 1997.[28] J. S. Wrench and N. M. Punyanunt, “Advisee‐advisor communication: An exploratory study examining interpersonal communication variables in
positivedevelopment of professional/leadership skills”). Appendix A shows the final results of thefactor loadings and reliability measure. Quantitative Analyses and ResultsIn this analysis, we aimed to examine if there was a statistically significant mean differencebetween comparison and treatment groups in their transferability perception score, includinggender, student’s residency, and educational level, using independent t-test through SPSS25.0. After removing six participants as outliers based on the box-plots, our data did notyet meet the normality assumption based on histograms, Q − Q plots, and the Shapiro-Wilktest (w = 0.955, df = 192, p < 0.001). Accordingly, we performed an independent t-testusing the bootstrapping method
in SPSSas shown in Table 3. Shapiro-Wilk test shows that normality is violated in five of the constructs.However, by visually inspecting Normal Q-Q plots, we notice that the deviations from the normalline are not severe. Additionally, boxplots are visually examined to identify possible outliers.Based on the boxplots, few outliers are identified; however, outliers were not removed since theydid not appear to be significant and because of the small size of the sample. (5) Categorical groupsmust have homogeneous variances: Levene’s test was conducted to test the homogeneity of thevariance as shown in Table 3. The test results show that all constructs, except for participation,have homogeneous variance with a p-value over (0.05). Table 3
provided inEquation 38. !"#! $(&) ∆𝑃 = (" # (Equation 3) where 𝜇= viscosity of air at a given temperature t = thickness of the material Uo = the face velocity = volumetric flowrate / area of the material = Q/Ac 𝑓(𝛼) = 64𝛼=.? (1 + 56𝛼 @ )for 0.006 < 𝛼 < 0.3 , and 𝛼 = surface solidity = 1 – surface porosity.The surface porosity is defined subsequently. The thread count and the surface porosity are important factors that impact the breathabilityof a fabric. The thread
: a tutorial. Tutorials in Quantitative Methods for Psychology, 5(1), 11-24.[29] Proust-Lima, C., Philipps, V., & Liquet, B. (2015). Estimation of extended mixed models using latent classes and latent processes: the R package lcmm. arXiv preprint arXiv:1503.00890.[30] Verbeke, G., & Molenberghs, G. (2000). A model for Longitudinal Data. Linear mixed models for longitudinal data, 19-29.[31] Shireman, E., Steinley, D., & Brusco, M. J. (2017). Examining the effect of initialization strategies on the performance of Gaussian mixture modeling. Behavior research methods, 49(1), 282-293.[32] Wang, M. C., Deng, Q., Bi, X., Ye, H., & Yang, W. (2017). Performance of the entropy as an index of
online teaching. Respondents were not certain about theviability of online learning in replacing traditional face-to-face lectures. They observed lessengagement in students’ interactions via online discussion and increasing academic dishonesty.They were also uncertain about how to evaluate the students’ learning progress.Ramlo [10] employed Q methodology, a mixed methodology, to study the subjective experiencesof 78 college and university faculty across disciplines related to COVID-19 in a way thatfacilitated differentiated rather than aggregate viewpoints. Data analysis revealed three mainviewpoints. The first viewpoint, summarized as “techies who like to teach,” included faculty whohad taught online before or had extensive experience with
? *Q#T - Traditional instruction mode; Q#V - Virtual instruction mode Figure 1. Survey Results © American Society for Engineering Education, 2021There was no overwhelming consensus since only 50% of participants appreciated the overallcourse design and project alignments. Of all the projects, most students enjoyed working on thewind turbine project in mechanical engineering. Table 1. Understanding of Major Questions 2019 2020 Before Now Before Now
al., “Racial/Ethnic Minority Community College Students’ Critical Consciousness and Social Cognitive Career Outcomes,” Career Dev. Q., vol. 68, no. 4, pp. 302–317, 2020, doi: 10.1002/cdq.12238.[14] K. Crenshaw, “Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989],” Fem. Leg. Theory, pp. 57–80, 2018.[15] K. Cross, K. Clancy, R. Mendenhall, P. Imoukhuede, and J. Amos, “The Double Bind of Race and Gender: A Look into the Experiences of Women of Color in Engineering,” 2017 ASEE Annu. Conf. & Expo. Proc., 2017.[16] S. M. Malcolm, P. Q. Hall, and J. W. Brown, “The double bind: the price of being a
providevaluable guidelines for ISE departments that allow better understanding of Generation Zstudents' needs for eLearning acceptance.References:[1] M. Zalaznick, “What Do Students Think of Online Learning?” University BusinessMagazine, June 18, 2020. [Online]. Available:https://universitybusiness.com/onlineLearning-survey-classes-degrees-generation-z-in-person-wily-regenerations/. [Accessed October 6, 2021].[2] World Health Organization (WHO), “Coronavirus,” World Health Organization, 2020.[Online]. Available: https://www.who.int/emergencies/diseases/novel-coronavirus-2019,https://www.who.int/news-room/q-a-detail/q-a-coronaviruses. [Accessed January 23, 2021].[3] Centers for Disease Control and Prevention (CDC), “Coronavirus Disease2019 (COVID-19
) “Effect of think-pair-share in a large CS1 class: 83% sustained engagement,” In Proceedings of the ninth annual international ACM conference on International computing education research (ICER '13). ACM, New York, NY, USA, 2013, pp. 137-144. DOI: https://doi.org/10.1145/2493394.249340823. Nagappan, N.; Williams, L.; Ferzli, M.; Wiebe, E.; Yang, K.; Miller, C.; and Balik, S. (2003) “Improving the CS1 experience with pair programming,” In Proceedings of the 34th SIGCSE technical symposium on Computer science education (SIGCSE '03). ACM, New York, NY, USA, 2003, pp. 359-362. DOI: https://doi.org/10.1145/611892.61200624. Porter, L.; Bouvier, D.; Cutts, Q.; Grissom, S.; Lee, C.; McCartney, R.; Zingaro, D.; and Simon
. Manag. Rev., vol. 20, no. 4, pp. 295– 308, 2010, doi: 10.1016/j.hrmr.2009.09.002.[3] J. Mathieu, M. T. Maynard, T. Rapp, and L. Gilson, “Team Effectiveness 1997-2007: A Review of Recent Advancements and a Glimpse Into the Future,” J. Manag., vol. 34, no. 3, pp. 410–476, Jun. 2008, doi: 10.1177/0149206308316061.[4] I. Aggarwal and A. W. Woolley, “Team Creativity, Cognition, and Cognitive Style Diversity,” Manag. Sci., vol. 65, no. 4, pp. 1586–1599, Apr. 2019, doi: 10.1287/mnsc.2017.3001.[5] A. Edmondson, “Psychological Safety and Learning Behavior in Work Teams,” Adm. Sci. Q., vol. 44, no. 2, pp. 350–383, Jun. 1999, doi: 10.2307/2666999.[6] L. Meadows et al., “Interactive Panel: Improving the Experiences of Marginalized
Proceedings, 2018, doi: 10.18260/1-2--30204.[56] J. A. Mejia, D. Ruiz, V. Popov, A. Esquinca, and D. Gadbois, “Board 104: Asset-based Practices in Engineering Design (APRENDE): Development of a Funds-of-Knowledge Approach for the Formation of Engineers,” in Proceedings of the ASEE Annual Conference & Exposition, 2019.[57] S. L. Dika, M. A. Pando, B. Q. Tempest, and M. E. Allen, “Examining the Cultural Wealth of Underrepresented Minority Engineering Persisters,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, pp. 1–9, Apr. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000358.[58] S. L. Dika, M. A. Pando, B. Q. Tempest, K. A. Foxx, and M. E. Allen, “Engineering self- efficacy, interactions with faculty
." United Nations Organization. https://unsdg.un.org/resources/policy-brief-education-during-covid-19-and-beyond (accessed April 14, 2021).[3] S. Khan, R. Rabbani, I. Thalassinos, and M. Atif, "Corona Virus Pandemic Paving Ways to Next Generation of Learning and Teaching: Futuristic Cloud Based Educational Model," Available at SSRN 3669832, 2020.[4] J. Q. Michael Fullan, Max Drummy, Mag Gardner, "Education Reimagined: The Future of Learning," no. http://aka.ms/hybridlearningpaper. [Online]. Available: http://aka.ms/hybridlearningpaper[5] "Pandemic sparks game-changing approach to hardware training." https://www.cmc.ca/pandemic-sparks-game-changing-approach-to-hardware-training/ (accessed April 14, 2021).[6] Q. N. Naveed, M
MathCAD MathCAD MathCAD SW Sim SW Sim SW Sim Ethics #1 Morales Sketch PLCObjectives Q#1 Q#2 HW#3 mini #1 quiz Takata Report Total 50 75 75 50 25 25 100 100 10 10 10 10 5 20 10 25 20 50 Avg 42.4 63.6 62.7 42.3 20.9 21.7
professional responsibilities in engineering situations and makeinformed judgments considering the impact of engineering solutions in global, economic,environmental, and societal contexts. All other all-section average scores were above 3.0. That is, Table 4. Summary of Survey Results on Student Outcomes Section 1 Section 2 Section 3 All Sections Q# Av. Std. Dev Av. Std. Dev Av. Std. Dev Av. Std. Dev Q1-a 2.77 1.20 2.82 1.10 3.11 0.94 2.89 1.10 Q1-b 2.64 1.26 2.88 0.96 3.11 0.87 2.86 1.08 Q2-a 2.91
. Su and P. C. Lee, “Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in technology foresight,” Scientometrics, vol. 85, no. 1, pp. 65–79, 2010. [5] V. Rodrigues, “How to write an effective title and abstract and choose appropriate keywords,” Editage Insights (04-11-2013), 2013. [6] Y. HaCohen-Kerner, “Automatic extraction of keywords from abstracts,” in International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. Springer, 2003, pp. 843–849. [7] Y. B. Wu, Q. Li, R. S. Bot, and X. Chen, “Domain-specific keyphrase extraction,” in Proceedings of the 14th ACM international conference on Information and knowledge management, 2005, pp. 283–284. [8] K
home’s volume to surface area ratio, which reduces the total amount ofheat transfer through the walls. The homes in Figures 3(m), (n), and especially (q) and (r) werebuilt into the ground to make an Earthen home. This also increases the efficiency of the home byadding insulation to the home’s walls and reducing the rate of heat transfer through the walls.The home in Figure 3(m) and (n) also featured a large rainwater collection system. The homes inFigures 3(a), (b), (g), (h), (i), (j), (k), (l), (m), (n), (s), and (t) all incorporated a PV system.Considering that solar photovoltaics is a major portion of the course, and students gainsignificant lab experience working with PV system components, it is not surprising that moststudents incorporate