, I’m just, no …Q … So does that …A … So we value a student from Michigan or Georgia Tech or Stanford …Q … Right …A … right? And those are not historically Black …Q … No …A … but if they produce you know, a Black or a Hispanic teacher ….Q … But if you don’t know that an HBCU does not produce such a student, why, I guessmy question is why do you, why is the reaction the same? ….A … Yeah, so was that an inherent bias on my part? Maybe. Because I just, I haven’texplored that, that space yet.Much of his discussion of recruiting focused on standards. Earlier in the interview he saidabout faculty searches,…we need to be color blind and gender blind, at some stage. So for example you set yourcriteria for your
. Journal of Science Education and Technology, 18, 163-172.[45] Concannon, J. P., & Barrow, L. H. (2012). A reanalysis of engineering majors' self-efficacy beliefs. Journal of Science Education and Technology, 21, 742-753.[46] McWhirter, E. H., Hackett, G., & Bandalos, D. L. (1998). A causal model of the educational plans and career expectations of Mexican American high school girls. Journal of Counseling Psychology, 45(2), 166- 181.[47] Dika, S. L., Pando, M. A., Tempest, B. Q. (2014). Pre-college interactions, early expectations, and perceived barriers: Are there differences for underrepresented engineering students? Proceedings of the 2014 American Society of Engineering Education conference
. ASEE 2015 Annual Conference Proceedings. Seattle, WA.15 Getleman, J. (2010). Africa’s Forever Wars. Retrieved December 5, 2016 from http://foreignpolicy.com/2010/02/11/africas-forever-wars/.16 (2017). Map of Africa, Africa Map. Retrieved from https://www.google.com/search?q=maps+of+africa&biw=1680&bih=920&tbm=isch&imgil=uOh2ofl xPuUI3M%253A%253BWo- WmyxY4EIBDM%253Bhttps%25253A%25252F%25252Fwww.africaguide.com%25252Fafmap.ht m&source=iu&pf=m&fir=uOh2oflxPuUI3M%253A%252CWo- WmyxY4EIBDM%252C_&usg=__geMtA1KsRoJpDEskKayDnLAdGGo%3D&ved=0ahUKEwiKyf juw8LSAhUB4YMKHV_IDesQyjcIKQ&ei=Ua29WMrcE4HCjwTfkLfYDg#imgrc=uOh2oflxPuUI3 M:17 (2017). African Flags. Retrieved from
warehouse employee performance: A dyadic perspective in the distribution industry,” Hum. Resour. Dev. Q., vol. 14, no. 4, pp. 435–458, 2003.[12] A. D. Ellinger, A. E. Ellinger, D. G. Bachrach, Y. L. Wang, and A. B. E. Baş, “Organizational investments in social capital, managerial coaching, and employee work- related performance,” Manag. Learn., vol. 42, no. 1, pp. 67–85, 2011.[13] P. King and J. Eaton, “Coaching for results,” Ind. Commer. Train., vol. 31, no. 4, pp. 145– 151, 1999.[14] R. D. Evered and J. . Selman, “Coaching and the art of management,” Organ. Dyn., vol. 18, pp. 16–32, 1989.[15] F. F. Fournies, Coaching for improved work performance. Kansas City, MO: Liberty Hall Press, 1987.[16] R
Disagree 46% 67% Very difficult Strongly DisagreeQ. 11. How would you rate your understanding of the interaction of components such asencoders, DC motors, analog to digital converters, PWM signals, and current sensors within acontrol system before taking this lab?Q. 12 How would you rate your understanding of the interaction of components
reduced, allowing for more detailed and interesting findings.3.2.5 Tests for AssumptionsIn order to understand the validity of our data set and the subsequent analysis, a few assumptionsmust first be tested which the factorial ANOVA takes into account. The assumption of normalitywas tested via examination of the residuals. Review of the Shapiro–Wilk (S-W) test fornormality and skewness and kurtosis statistics suggest whether or not normality was a reasonableassumption. The boxplot of the residuals is analyzed for a relatively normal distributional shape.The Q–Q plot and histogram are also examined for normality. The assumption of homogeneityof variance (homoscedasticity) is tested by conducting Levene’s test.Random assignment of individuals to
averaging the item scores within the factor, as is appropriate for an exploratory study[29]. Before conducting regression, assumptionswere checked using VIF, Q-Q plots, and residual plots. For all predictors, the VIF was less than 10, Q-Q plots of residuals were linear, and no patterns were identified in the residuals vs. predicted plots[30]. To increase the statistical power of the regression model, responses to some demographic questions were grouped together; for example, the 14 options for a participant’s engineering field were grouped into four main categories (civil, electrical, mechanical, and other). This reduction resulted in 23 predictor variables. For each factor, a standard multiple
. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, “Front-End Factor Analysis for Speaker Verification,” IEEE Trans. Audio Speech Lang. Process., vol. 19, no. 4, pp. 788–798, May 2011, doi: 10.1109/TASL.2010.2064307.[7] L. Wan, Q. Wang, A. Papir, and I. L. Moreno, “Generalized End-to-End Loss for Speaker Verification,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018, pp. 4879–4883. doi: 10.1109/ICASSP.2018.8462665.[8] C. Wang, A. Zhang, Q. Wang, and Z. ZHU, “Fully supervised speaker diarization,” US11031017B2, Jun. 08, 2021 Accessed: Apr. 09, 2023. [Online]. Available: https://patents.google.com/patent/US11031017B2/en[9] J. K. Bergum, “Text Emotion Prediction in Browser
. 38.[6] Y. Xing, “Cultural identity: Synergy, motivation and self-organization,” Theoretical Exploration, no. 4, pp. 56-60, 2017.[7] Q. Xu, “Cultural foundation of entrepreneurship education in China’s universities: Theoretical interpretation and consolidated paths,” Journal of Higher Education Management, vol. 14, no. 1, pp. 82-88,124, 2020.[8] Q. Xu, “Cultural foundation of entrepreneurship education in China’s universities: Theoretical interpretation and consolidated paths,” Journal of Higher Education Management, vol. 14, no. 1, pp. 82-88,124, 2020.[9] S. Zhou, “The analysis on the types of enterprise education of higher institutions in America under the effect of pragmatic culture and its inspiration,” Studies In
Incorporating SECMsLearning OutcomesImplementation of the current approach incorporates two new learning objectives and removesone, as shown in table 2.Table 2. Affected Learning outcomes and assessment Learning Outcomes Affected by Current Approach Assessment Read and create engineering drawings and models Added HW, Q, P, Ex Use plastic 3D printing to create functional objects Added HW, P Develop and implement simple algorithms and programs Removed HW, Q, PThe assessment methods listed in table 2 are: HW-Homework, Q-Quizzes, P-Team Projects, Ex-Exam.Future PlansThis course has been met with a high level of enthusiasm from both students and faculty. Thestudents had the
community forstudents.Results & DiscussionSummary of ActivitiesZoom Q&A Sessions: During fall quarter, the SEL team focused on connecting pre-majors tomajor level students by hosting a series of “Casual Q&A’s” for each program. During thesehour-long sessions hosted and facilitated by the SEL, 2-3 major-level student volunteersanswered questions of audience which consisted primarily of pre-major students. The sessionswere open to all pre-major students in the department and were advertised using social media.There was an average of 15 students at each session which was low considering there wereapproximately 250 premajor students enrolled in engineering and design at this time.Considering the sessions were held in the evening using Zoom
when given data are the height, H (inches), time (seconds), volume, V (US gallons), and the important equations detailing the relationship between the volumetric flow, (Q, H, and Cw, as given by Equation #1, for an angle a of 30o: 6 ∆$ , Q= = C+ tan α 2gH 7 (Eq. 1) ∆%&'( -. 2) Fill-up the table presented below, and plot the y and z values as functions of x. For thisparticular exercise, the instructor asks students to pay attention to graph formatting, by showingthe graph title, axes, legend, and tick marks, etc.Figure 2: Example of Assigned
decide you wantedagreements with academic institutions in to study engineering?Qatar, I visited the College of North a) After joining the college 23% 29%Atlantic - Qatar (CNA-Q) to develop an b) In high school 46% 57%articulation agreement to provide students c) In middle school 15% 11% d) In elementary school 0.00% 4%a smooth transition from the CNA-Q e) Early childhood 15% 0.00%Diploma in Engineering Technologyprogram to my home university’s 6. Who had the most influence onrespective engineering technology your decision to study engineering
the University and beyond. West Lafayette, IN; 2012:59-85.3. Pawley AL. Drawing the line: Academic engineers negotiating the boundaries of engineering. 2007.4. Pawley AL. Universalized Narratives: Patterns in How Faculty Members Define “Engineering.” J. Eng. Educ. 2009;98(4):309-319. Available at: http://dx.doi.org/10.1002/j.2168-9830.2009.tb01029.x.5. Riley D. Engineering and Social Justice: Synthesis Lectures on Engineering, Technology, and Society #7.6. Mcintosh P. White Privilege : Unpacking the Invisible Knapsack. Cyrus V, ed. Work 1990;49(1988):1-5. Available at: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:White+Privilege:+Unpacking+the+Invisi ble+Knapsack#0.7. Mcintosh P
– somewhatdisagree; 3 – neither agree nor disagree; 4 – somewhat agree; 5 – strongly agree. The mean andstandard deviation are shown in Table 1. We used a Wilcoxon Rank Sum Test to compute thetest statistic, the p-value. We use a p-value of 0.05 to interpret the results. The null hypothesis isthat the median of the pre- and post-camp is the same while the alternate hypothesis is that theyare not. A p-value less than 0.05 would indicate that the null hypothesis should be rejected. Inother words, the coding camp had a significant effect in changing the perception of the campers.Q1 to Q 4 is about the girl’s perception of what scientists/engineering do and related careeroptions. As seen from the Table, the mean pre-camp was between 3.2 to 3.8 and increased to
simple task. Similar relatively low numbers canbe seen for the response to question#2 as shown in Figure 8, where approximately 50% of thestudents across the three groups felt that they were not able to finish the mission really well giventhe provided information. Q#1: Flying the Aircraft and Completing the Mission was a Simple Task 9 8 7 6 Average Score 5 4 3.25 3.12 2.92 3
Maintaining Effective Research Teams. IEEEComputer Society.[7] Bernat, A., Teller, P.J., Gates, A., Delgado, N., & Della-Piana, C.K. (2000, July). Structuringthe student research experience. In Proceedings of the 5th Annual SIGCSE/SIGCUE ITiCSEConference on Innovation and Technology in Computer Science Education, pp. 17-20[8] Gates, A. Q., Hug, S., Thiry, H., Aló, R., Beheshti, M., Fernandez, J., & Adjouadi, M. (2011).The Computing Alliance of Hispanic-Serving Institutions. ACM Transactions on ComputingEducation, 11(3), 1–21. doi:10.1145/2037276.2037280[9] Villa, E. Q., Kephart, K., Gates, A. Q., Thiry, H., & Hug, S. (2013). Affinity Research Groupsin practice: Apprenticing students
University is retaining and graduating Blackengineers at higher rates National averages.So, what is it about our program that makes it so successful… 4 Five Pillars of BCoE Summer Bridge Bridge Bonding Academics Engineering at MSU Engineering Project Engineering Industry- Photo Scavenger Hunt - Math - Chemical Lab - Project Work - Game/Skate Nights - Chemistry - Civil Engineering Lab - Project Q&A - Ergon Trip-Physical Fitness Center - Computer
hours each, over the course ofhalf a semester. Prior to Spring, 2019, LCs occurred twice a week for an hour each. The changeto two-hour LCs is expected to be more effective by allowing more time for learning activities,field trips, etc. LCs are generally flipped classroom style and are generally interactive, rather thanlecture-based. For each hour in a learning conversation, students generally spend two additionalhours outside of the meeting. By the end of a semester, students will have spent 40 hours on thecompetency, which is the requirement to earn one technical credit. Teachers scaffold the students’self-directed learning. A basic outline of a learning conversation is 10 minutes of Q & A, 60minutes of learning or retention activities
participant chose for their poem, and, therefore,some participants did not report their topic. Those responses are coded as undeclared. For theSpring 2023 semester, however, a separate question was included to ensure all participantsreported their topic in a clear manner (see Appendix B.2). Aside from undeclared, the codesfrom the analysis of deterministic inventory modeling in Poem 2 are preliminaries, ABCanalysis, EOQ modeling, and miscellaneous whereas the codes from the analysis of stochasticinventory modeling in Poem 3 are preliminaries, newsvendor, (q,r) policy, and miscellaneous.For participants who chose a topic that did not fall into one of the predetermined categories, theirresponse was tagged to miscellaneous. The miscellaneous reports
. Nadeem, “STEM Jobs See Uneven Progress in Increasing Gender, Racial and Ethnic Diversity,” Pew Research Center Science & Society, Apr. 01, 2021. https://www.pewresearch.org/science/2021/04/01/stem-jobs-see-uneven-progress-in- increasing-gender-racial-and-ethnic-diversity/ (accessed Feb. 04, 2023).[2] “The STEM Gap: Women and Girls in Science, Technology, Engineering and Mathematics,” AAUW : Empowering Women Since 1881. https://www.aauw.org/resources/research/the-stem-gap/ (accessed Feb. 04, 2023).[3] J. Handelsman et al., “More women in science,” Science, vol. 309, no. 5738, Art. no. 5738, 2005.[4] S. E. Carrell, M. E. Page, and J. E. West, “Sex and science: How professor gender perpetuates the gender gap,” Q. J
Teaching Module to Improve Student Understanding of Stakeholder Engagement Processes Within Engineering Systems Design. 57–67. https://doi.org/10.1007/978-3-319-32933-8_6Friedman, B., & Hendry, D. G. (2019). Value Sensitive Design: Shaping Technology with Moral Imagination. MIT Press. https://books.google.com/books?hl=en&lr=&id=8ZiWDwAAQBAJ&oi=fnd&pg=PR13&d q=value+sensitive+design+moral+imagination&ots=vchlHBMvLP&sig=FHupw7lAlTzwR _2hSj601EwARU8#v=onepage&q=value sensitive design moral imagination&f=falseFriedman, B., & Hendry, D. G. (2012). The Envisioning Cards: A Toolkit for Catalyzing Humanistic and Technical Imaginations. SIGCHI Conference on Human Factors in Computing
. 100-112, 2022.[12] O. Simpson, “Access, retention and course choice in online, open and distance learning”.European Journal of Open, Distance and E-learning, 7(1), 2004.[13] M. Scott, and D.A. Savage, “Lemons in the university: asymmetric information, academicshopping and subject selection”. Higher Education Research & Development, 41(4), pp. 1247-1261, 2022.[14] D. Bukhari, “Data science curriculum: Current scenario”. International Journal of DataMining & Knowledge Management Process, Vol. 10, 2020.[15] D. Li, E. Milonas, and Q. Zhang, “Content Analysis of Data Science Graduate Programs inthe US,” 2021 ASEE Virtual Annual Conference Content Access, 2021.[16] Z. Chen, X. Liu, and L. Shang, “Improved course recommendation algorithm
will inform future initiatives aimed at supportingthe academic journeys of female minority STEM students and ensuring their success.6.2 Initiative Two: ActivitiesActivity One: Panel Discussion and Q&A • Description: A panel discussion and Q&A session featuring minority female STEM professionals from various STEM disciplines will be organized. The objective of this panel is to allow these female STEM professionals to share the educational, professional and personal experiences, including the challenges faced and the successes achieved with female minority STEM students. • Goal: This event will provide female minority students with the opportunity to see themselves represented in the STEM fields and
) critically evaluating the state of research andrecommending improvements, and (c) identifying neglected topics that require the attention ofresearchers. Our completed systematic review will contribute in each of these three areas.Bibliography1. Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A Page 26.1754.10 meta-analytic survey. Journal of Educational Psychology, 106, 901-918.2. Sabo, K. E., Atkinson, R. K., Barrus, A. L., Joseph, S. S., & Perez, R. S. (2013). Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in
discussion forums, including social question and answer (Q&A) sites, arebecoming increasingly popular for problem-solving and help-asking. Users of these sites askquestions, post responses, or search information from existing threads to satisfy theirinformational needs. One popular use of online discussion forums is to provide help witheducational content [26]. Research shows that online forums are robust platforms for learning 1as they evolve over time and become a rich source of information for participants due to theinterpersonal exchange they. For instance, van De Sande [26] examined an online help forumfor mathematics and found that learners receive general forms of help that orient the
-theory mathematics describing this process is beyond the scope of the applied wirelesscommunications course. However, it is a relatively straightforward process to simply apply analgorithm that iteratively tunes the gain until a satisfactory result is achieved [4]. LNA BPF LPF Ichannel: Q 90o I LPF Qchannel: Fig. 5. Block diagram of quadrature receiver producing the I and Q channels. Even though I and Q are real signals that are in quadrature, we can think
- content/uploads/2012/01/EUR-ACE_Framework-Standards_2008-11-0511.pdf.(13) Passow, H. J. J. Eng. Educ. 2012, 101, 95. Page 26.1177.10(14) Brett, J.; Behfar, K.; Kern, M. C. In The Essential Guide to Leadership; Harvard Business Review, 2009; pp. 85–97.(15) Halverson, C. In Effective Multicultural Teams: Theory and Practice; Halverson, C. B.; Tirmizi, S. A., Eds.; Springer, 2008; pp. 81–110.(16) Pelled, L. H.; Eisenhardt, K. M.; Xin, K. R. Adm. Sci. Q. 1999, 44, 1.(17) Watson, W. E. Acad. Manag. J. 1993, 36, 590.(18) Horwitz, S. K. Hum. Resour. Dev. Rev. 2005, 4, 219.(19) Manning, M. L.; Lucking, R. Clear
and ensure thatthey are moving along the right path toward a meaningful research project. Clearly identifiedexpectations and research outcomes are also crucial to engage students by providing themfeasible goals and allowing them to set daily and weekly tasks for the goals. Lastly, asengineering is practical science, a hands-on experiment is another engaging means to bringexcitement to participating students. For the future implementations, these approaches will beapplied and their effects on the program outcomes will be evaluated.AcknowledgementThe authors would like to thank the support from the U.S. Department of Education through MinorityScience and Engineering Improvement Program (Award – #P120A150014).References1. Xia, L., Xia, Q
of identification numbers such as serial numbers, secret key, configuration bits, etc. A typical non-volatile latch must have the ability to be programmed to a binary state and retain this binary state even in the case of power down. The state of the latch can be queried by other components as long as system power is present. Looking at Figure 3, a basic latch can have control inputs for reading or sensing the stored data (‘SE’), a data input (‘D’) whose state is stored to the latch, and an output which presents its current binary state (referred to as ‘Q’). By storing the state of the latch in the anti-fuse element, that data is stored permanently in a non-volatile form. An additional programming control input write enable