] W. Huang and J.C. Ho, “Improving moral reasoning among college students: a game-basedlearning approach,” Interactive Learning Environments, vol. 6, no.5, pp. 583-596, 2018.Available: https://doi.org/10.1080/10494820.2017.1374979.[8] J. R. Rest, D. Navaez, S. J. Thoma, M. J. Bebeau, “DIT-2: Devising and testing a revisedinstrument of moral judgement,” J. Ed. Psych., vol. 91, pp. 644-659, Dec. 1999.[9] J. Borenstein, M. J. Drake, R. Kirkman, J. L. Swann, “The Engineering and Science Issues Test(ESIT): a discipline-specific approach to assessing moral judgment,” Sci. Eng. Ethics, vol. 16(2),pp.387-407, Jun. 2010.[10] Q. Zhu, C. B. Zoltowski, M. Kenny Feister, P. M. Buzzanell, W. C. Oakes, A. D Mead, “Thedevelopment of an instrument for
derived basedon the analogy between groundwater flow and heat conduction by Theis5 (Equation 2a, b, c).The equation is known as Theis equation or nonequilibrium equation. ொ షೠ ௗ௨ ொݏൌ ൌ ܹሺݑሻ Eq. 2(a) ସగ் ௨ ௨ ସగ் ொ ௨మ ௨య ௨రݏൌ ቂെͲǤͷʹ െ ݈݊ ݑ ݑെ െ ڮቃ Eq. 2(b) ସగ் ଶǤଶǨ ଷǤଷǨ ସǤସǨ మௌݑൌ Eq. 3(c) ସ்௧where s is drawdown in the pumping well, Q is constant well discharge, and W(u) is
“left” side condition), with substitution c → u is: 0 (7)With f defined as in (4), inspection of (7) by the form of (6) yields: p 0 (8a) q 1 (8b)The saturation condition of chocolate at the tube’s inner wall (the “right” sidecondition), again with c → u is given as: u 0.2 (9)Which, in the form of (6), becomes: u 0.2 0 (9´)Inspection gives
synchronous courses, they showed a more positive reaction to the course when thefaculty used polling, Q&A, and other methods for student engagement. A similar reaction was shownin their satisfaction with asynchronous courses.While these data are very preliminary, they provide some design implications for asynchronous andsynchronous courses. In asynchronous courses, the students appreciated the use of Zoom for liveengagement. This indicates that future asynchronous course designs could benefit from includinglive interaction opportunities as part of the course. Similarly, for synchronous courses, addingopportunities for student engagement during live lectures by using chat sessions, polls, and similartools would lead to higher student satisfaction
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
Initiatives.International Journal of Engineering Education, 23(2), 254-265.Hokanson, D.R., Zhang, Q., Cowden, J.R, Troschinetz, A.M., Mihelcic, J.R., & Johnson D.M.2007b. Challenges to Implementing Drinking Water Technologies in Developing WorldCountries. Environmental Engineer, 43(1), 31-38.Huntzinger, D. & Eatmon, T.D. 2007. A Life Cycle Assessment of Portland CementManufacturing: Comparing the Traditional Process with Alternative Technologies. Journal ofCleaner Production, In Review.Kumar, V. & Sutherland, J.W. 2007. Infrastructure Changes Required to Achieve HigherMaterial Recovery Targets from End-of-Use Vehicles. Trans. of NAMRI/SME, 35, 201-208.Mihelcic, J.R., Crittenden, J.C., Small, M.J., Shonnard, D.R., Hokanson, D.R., Zhang, Q., Chen,H
√3 𝑎 𝐸(𝑘) = −𝛾√1 + 4 cos2 ( 0 𝑘𝑦 ) + 4 cos( 𝑎 𝑘 ) cos( 0 𝑘𝑦 ) 2 2 0 𝑥 2 (V-12) Thus the absolute value of conductivity for desired CNTWherein "𝛾" is the overlap energy equal to 2.7e.V[46, 47] is: From equations (IV-3), (IV-12), (IV-13) and (V-12) 1.2562 × 1027and considering a metallic CNT (m-n =3q, q = 0,1,2,…), |𝜎𝑧𝑧 (𝜔)| =the conductivity equation could be simplified as below √𝜔 2 + 𝜗 2[46]: That is 2.9975 × 1011
% 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
-9411- y.[26] J. M. Holland, D. A. Major, and K. A. Orvis, “Understanding How Peer Mentoring and Capitalization Link STEM Students to Their Majors,” Career Dev. Q., vol. 60, no. 4, pp. 343–354, Dec. 2012, doi: 10.1002/j.2161-0045.2012.00026.x.[27] R. T. Fitch, “Characteristics and Motivations of College Students Volunteering for Community Service.,” J. Coll. Student Pers., vol. 28, no. 5, pp. 424–31, 1987.[28] J. L. Holland, The self-directed search professional manual. Odessa, FL: Psychological Assessment Resources., 1985.[29] I. Simon Rampasso et al., “Preparing future professionals to act towards sustainable development: an analysis of undergraduate students’ motivations towards voluntary
. Brown and K. Finstuen, “The Use of Participation in Decision Making: A Consideration of the Vroom-Yetton and Vroom-Jago Normative Models,” J. Behav. Decis. Mak., vol. 6, no. 3, pp. 207–219, 1993.[23] V. H. Vroom and A. G. Jago, “Situation Effects and Levels of Analysis in the Study of Leader Participation,” Leadersh. Q., vol. 6, no. 2, pp. 169–181, 1995.[24] V. Vroom and A. G. Jago, The New Leadership: Managing Participation in Organizations. Englewood Cliffs, NJ: Prentice Hall, 1988.[25] E. Fleishman and D. Peters, “Interpersonal Values, Leadership Attitudes, and Managerial ‘Success,’” Pers. Psychol., vol. 15, no. 2, pp. 127–143, 1962.[26] S. J. Zaccaro, A. L. Rittman, and M. A. Marks, “Team Leadership,” Leadersh. Q., vol
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
bymanipulating weights within the penalty function in lieu of applying constraints on responses.To illustrate operation of the solution algorithm, we present a hypothetical class of 17 students thatwill be assigned to three project teams, one of which will be closed shown in Figure 2: A B C D E F G H J K L M N P Q R S Gender Male Male Male Male Male Female Female Male Male Male Male Male Male Female Male Female Male Ethnicity Hispanic Hispanic Black White White White White White White Asian White White White Asian White
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