% 30% 30% 29% 25% Percentage 20% 15% 12% 10% 10% 10% 8% 5% 1% 0% Q P G K R A N Manufacturer Figure 5 Refined visualization showing the percentage of cereals produced by each
, price and cost information that enables production cost to be assessed in a simple cost model.References1. See Granta Design homepage, URL: https://grantadesign.com/education (available February 3,2020)2. Ashby, M. F., Materials Selection in Mechanical Design (5th edition) Butterworth Heinemann,Oxford, 20163. Figuerola, M, Lai, Q, Ashby, M., Kahlmeyer, E., The CES EduPack Products, Materials andProcesses Database - a White Paper, https://grantadesign.com/teachingresource/papers/(available February 3, 2020)4. Fredriksson, C., Melia, H. and Cesons, J., An Introductory Teaching Resource for MaterialsScience and Engineering, Proceedings of the ASEE Annual Conference, Seattle (USA), June 14-17, 20155. C. Fredriksson, An Innovative Digital Tool
entrepreneurialpassion: Conceptual foundations and scale validation. Journal of business venturing, 28(3), 373-396.[3] Edwards, TV and Pillapakkam, S. (2018) “Engineering leadership and entrepreneurial personality,”Proceedings of the American Society of Management: International Conference. (accepted)[4] Li, C. Q., Harichandran, R. S., Erdil, N. O., Nocito-Gobel, J., & Carnasciali, M. (2018, June),Investigating the Entrepreneurial Mindset of Engineering and Computer Science Students. Paperpresented at 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah.https://peer.asee.org/30726[5] Svensson, OH, Adawi, T, Lundqvist, M, Middleton, KW. (2020) Entrepreneurial engineeringpedagogy: models, tradeoffs and discourses, European Journal of Engineering
available for four weeks in order togive students adequate time to take the exam, review their material, and remediate any mathknowledge that the students would need to know for the course.Competency-based assessments give students equal opportunities to be successful in their classesas many students have different backgrounds of learning. Flagging “at-risk” students and givingthem the tools they need to learn the course prerequisite material can help build their sense ofbelonging and positive attitude in the classroom. Similar competency and remedial assessmentsfrom other departments and universities have proved to be helpful to their students by loweringthe D/F/Q rates, creating shifts in letter grades, and increasing the rate of students
likelihood estimator. Initial descriptive statisticalanalysis was conducted and used to test normality of data. Dependent variables and hypothesizedcovariates showed significant p-values (p>.05) on Shapiro-Wilk test of normality (refer to Table3). This indicated violations of normality in the data; however, large samples are sensitive toviolations of normality (Azen & Walker, 2011; Pituch & Stevens, 2016). As a result, visualinspections of histograms and normality Q-Q plots indicated acceptable normality in the data[36]-[37]. Table 3 Test of normality of data for each survey construct Shapiro-Wilk
same technology to solve these two questions. 26% of the participants correlated to solve Q1 and Q2 by using the same technology, calculator. 33% of the participants correlated to solve Q2 and Q3 by using a calculator. 35% of the research participants selected different technologies for all three questions.Figure 16 below reflects a summary of the correlation analysis. Correlation Analysis of the Three Research Questions Different Tech 35% Q2&3 33% Q1&3 52% Q 1&2
. Each created a 10-20 minute video which was posted on the IEC website a few daysbefore the meeting. The session began with a short presentation on the video highlights, followedby an open Q&A. The stories shared were very powerful, demonstrating many opportunities lostby the panelist’s home institution. Mentoring was identified as a critical issue and a variety ofexamples were presented that showed the impact of both good and bad mentoring. Thepresentation and the Q&A both helped to motivate the Anti-Racism workshops being offered byIEC spring 2021.The next two sessions were organized and presented by Prof. Russ Korte of George WashingtonUniversity and IEC leadership.Session 6: Team Science Part 1 (October 2020) Teamwork and task work
their early experiences leading to the Bridge program. The secondinterview explored their experiences in the Bridge program and their aspirations for their co-op.Interviews were professionally transcribed and pseudonymized.Data were analyzed using a narrative approach that includes multiple readings [19]. Themultistep process included reading for: familiarization with the transcripts, identifying contentsuch as individuals mentioned and major storylines, detecting identity of the participant andothers, and uses of CCW and funds of knowledge. After the readings, a narrative case waswritten for each participant.Quality was considered internally and externally. Internally, we used the Q 3 framework [20],[21] as a reflexive tool to guide each phase
implementing Project COMPLETE in high schools 4) A Q&A session intended to solicit feedback from the teachers and counselors about their specific concerns with teaching the curriculumIt is important to note that speaking responsibilities were divided up among the project’s collegeand high school representatives, which allowed workshop participants to hear about variousaspects of the program. For instance, a high school counselor shared about how to enroll studentsin courses and get them specific credit. Since every school has to navigate their version ofcurricula, credit, and state education priorities/incentives, this was an important topic to cover. Itwas also valuable for the workshop’s teacher participants to learn what the
, 2018.[2] V. Eubanks, Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press, 2018.[3] C. C. Perez, Invisible women: Exposing data bias in a world designed for men. Random House, 2019.[4] D. Norman, The design of everyday things: Revised and expanded edition. Basic books, 2013.[5] D. E. Forsythe, “New Bottles, Old Wine: Hidden Cultural Assumptions in a Computerized Explanation System for Migraine Sufferers,” Med. Anthropol. Q., vol. 10, no. 4, pp. 551– 574, 1996.[6] National Science Foundation, “Women, Minorities, and Persons with Disabilities in Science and Engineering,” 2017. https://www.nsf.gov/statistics/2017/nsf17310/digest/occupation/overall.cfm (accessed Jun. 23
environment. Some of thoserecommendations included (1) a website video to introduce the project to the schools and engagefamilies and students; (2) an enhanced web presence to engage with students and families online,and (3) monthly industry spotlight videos to students to build program momentum. The researchteam also presented regular research Q&A talks to student cohorts within the first day of theircourse beginning with the goal of boosting research participation.Equitable Access to High Quality Teachers. Teachers are an essential partner in the collaborativemodel. Securing high-quality teachers in rural districts is a persistent challenge in the literature(Goodpaster, Adedokun, & Weaver, 2012). Data shows rural districts are more likely
, pp. 220–252, 2014, doi: 10.1002/jee.20040.[5] G. Tejedor, M. Rosas-Casals, and J. Segalas, “Patterns and trends in engineering education in sustainability: A vision from relevant journals in the field,” Int. J. Sustain. High. Educ., vol. 20, no. 2, pp. 360–377, 2019, doi: 10.1108/IJSHE-07-2018-0131.[6] N. (National S. for P. Engineers), “History of the Code of Ethics for Engineers.” https://www.nspe.org/resources/ethics/code-ethics/history-code-ethics-engineers.[7] 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.[8] C. Wieman, K. Perkins, and S. Gilbert
thermally equilibrate by being surrounded by an c-, col-, I, what I assume is a colder surrounding. So I would assume that there is, um, a heat transfer, a negative heat transfer. And, yeah, those are the two things. […] Uh, so as I said earlier, heat transfer is um negative because you have, heat, um, there's, there's, there's transfer of heat from the system to the surroundings. Yeah. And uh, so, that's Q-. Boundary work is positive, so that would, that would be negative, positive W equals Delta-U and K-E and P-E are negligible in this problem, so that would be that. Um, which would be negative Q minus W will always be a negative value.” A
. Didier, A. Jamison, M. Meganck, C. Mitcham and B. Newberry, Eds., Cham, Springer, 2015, pp. 203-216.[21] K. Walczak, C. Finelli, M. Holsapple, J. Sutkus, T. Harding and D. Carpenter, “Institutional obstacles to integrating ethics into the curriculum and strategies for overcoming them,” in Proceedings of the 117th ASEE Annual Conference & Exposition, Louisville, KY, 2010.[22] E. Blue, M. Levine and D. Nieusma, Engineering and war: Militarism, ethics, institutions, alternatives, Morgan & Claypool Publishers, 2014.[23] S. Rea, K. Shiekh, Q. Zhu and D. Nieusma, “Hidden ethics curriculum in the professional formation of engineers: Learning from medical ethics education,” in The 30th Annual Conference of the
specified set, if any, make the Directly-impacted Grade 6 equation or inequality true? 4. [6.EE.5] Use substitution to determine whether a given number in a specified set makes an equation or inequality true. Directly-impacted Grade 6 5. [6.EE.7] Solve real-world and mathematical problems by writing and solving equations of the form x + p = q and px = q for cases in which p, Directly-impacted Grade 6 q and x are all nonnegative rational numbers. 6. [6.EE.8] Write an inequality of the form x ¿ c or x ¡ c to represent a constraint or condition in a real-world or mathematical problem. Directly-impacted Grade 6 7. [6.EE.8] Recognize that
/fpsyg.2017.00875. [Accessed July 1, 2020].[5] Gilmartin, S.K., Chen, H.L., Schar, M.F., Jin, Q., Toye, G., Harris, A., Cao, E., Costache, E.,Reithmann, M., & Sheppard, S.D. (2017). Designing a Longitudinal Study of EngineeringStudents’ Innovation and Engineering Interests and Plans: The Engineering Majors SurveyProject. EMS 1.0 and 2.0 Technical Report. Stanford, CA: Stanford University DesigningEducation Lab.[6] Hogrebe, F. (2018). Entrepreneurial Intentions in the Social Cognitive Career Theory:A Stanford Alumni Study. Master’s Thesis. Munich, Germany: Technische Universität MünchenTUM School of Management.[7] Brunhaver, S. R., Matusovich, H. M., Streveler, R. A., Sheppard, S., Carrico, C., & Harris, A.(2016). “Understanding
baseline/background information for on Moodle to unlock the rest the day’s learning. of the day’s activities. 9-11 AM Lecture and group/interactive activities Live Zoom Meet Attendance and participation 11 AM- Lunch Break 12 PM 12-3 PM Independent Work: Complete day’s Asynchronous Submit/complete assignments assignments/activities and work on on Moodle WDC project 3 PM Office Hours: Student-led discussion Live Zoom Meet Optional and Q&A with instructorsOur focus throughout the process remained on engaging in hands-on exploration, and
, 2006.[2] X. Tang, Y. Yin, Q. Lin, R. Hadad, and X. Zhai, “Assessing computational thinking: A systematic review of empirical studies,” Comput. Educ., vol. 148, no. January, p. 103798, 2020.[3] H. Shoaib and S. P. Brophy, “A systematic literature-based perspective towards learning and pedagogy of computational thinking,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2020-June, 2020.[4] P. J. Denning, “Computational Thinking in Science,” Best Writ. Math. 2018, pp. 67–77, 2019.[5] D. Weintrop et al., “Defining computational thinking for mathematics and science classrooms,” J. Sci. Educ. Technol., vol. 25, no. 1, pp. 127–147, 2016.[6] K. Brennan and M. Resnick, “New frameworks for studying and
changing postdoc and key predictors of satisfaction with professional training. Studies in Graduate and Postdoctoral Education, 11(1), 123-142. https://10.1108/sgpe-06-2019-0055Yadav, A., Seals, C. D., Soto-Sullivan, C. M., Lachney, M., Clark, Q., Dixon., K. G., & Smith, M. J. T. (2020). The forgotten scholar: Underrepresented minority postdoc experiences in STEM fields. Educational Studies, 56(2), 160-185. https://doi.org/10.1080/00131946.2019.1702552
,” Journal. Mass Commun. Q., vol. 93, no. 4, pp. 728–749, Dec. 2016.[21] A. Lorde, “and Sex : Women Redefining Difference *,” Sister Outs., no. April, pp. 114–123, 1984.[22] K.-Y. Taylor, How We Get Free: Black Feminism and the Combahee River Collective. 2017.[23] B. Moradi, M. C. Parent, A. S. Weis, S. Ouch, and K. L. Broad, “Mapping the Travels of Intersectionality Scholarship: A Citation Network Analysis,” Psychol. Women Q., vol. 44, no. 2, pp. 151–169, Jun. 2020.[24] B. Love, We Want to Do More Than Survive by Bettina L. Love. Penguin Random House, 2019.[25] B. Moradi and P. R. Grzanka, “Using intersectionality responsibly: Toward critical epistemology, structural analysis, and social justice activism,” J. Couns
Orientation ● Orientation module ● Welcome ● Program overview ● Intro to RET program 1 ● Required trainings ● Research presentations ● Knowledge Check ● Q&A Conducting Center ● Research/ Curriculum Dev. module ● Curriculum development Research/ Curriculum ● Center research projects ● Research presentations 2 Development ● Lesson plan expectations ● Industry presentation ● Knowledge Check
. Imbalzano, K. T. Q. Nguyen, and D. Hui, “Additive manufacturing (3D printing): A review of materials, methods, applications and challenges,” Compos. Part B Eng., vol. 143, no. December 2017, pp. 172–196, 2018, doi: 10.1016/j.compositesb.2018.02.012.[2] C. Yu and J. Jiang, “A perspective on using machine learning in 3D bioprinting,” Int. J. Bioprinting, vol. 6, no. 1, pp. 4–11, 2020, doi: 10.18063/ijb.v6i1.253.[3] U. Delli and S. Chang, “Automated Process Monitoring in 3D Printing Using Supervised Machine Learning,” Procedia Manuf., vol. 26, pp. 865–870, 2018, doi: 10.1016/j.promfg.2018.07.111.[4] Y. Zhao, T. Birdal, H. Deng, and F. Tombari, “3D point capsule networks,” Proc. IEEE Comput. Soc. Conf
, Computer Applications in Engineering Educations,Volume15, Issue1, 2007, Pages 64-72[4] Unity API: https://docs.unity3d.com/ScriptReference/[5] Johnson, Angus (2010-2013) Clipper - an open source freeware library for clipping and offsettinglines and polygons. : http://www.angusj.com[6] Agoston, K., Max (2005, January 4) Computer graphics and geometric modeling: implementationand algorithms: http://books.google.com/books?q=vatti+clipping+agoston[7] Vatti, R., Bala (1992, July) A generic solution to polygon clipping:https://dl.acm.org/doi/pdf/10.1145/129902.129906?casa_token=fQsVbBA4bIQAAAAA:KoZrlhghJG525glYFKldGJGdtQTpodEVxXfaa-1u4cvIWhPrpyehMDQHUWY7YN-GPDy2_uEnMxfm[8] Chen, Xiaoru, McMains, Sara (2005) Polygon Offsetting by Computing Winding
effect on students’ academic achievement. The overall effect was d = 0.35 (CI = [0.02,0.68]). This effect is statistically significant since the 95% confidence interval of the overalleffect does not contain a zero, also known as a zero effect. The statistically significant Q value of63.69 (df = 15, p < .001) indicated that the effects were not homogenous and were groupedaccording to some moderating variable. We grouped the studies by the engineering dimensions:design, project development, and control training. Two studies [4] [18] provided ten effects ondesign aspect of first-year engineering education. The effect on design was d = 0.53 (CI = [0.30,0.76]). This effect was statistically significant. One study [20] provided five effects for
can be evaluated in terms of t effectiveness ascompared to the other capstone courses to inform changes can be made to the Global Capstone.Citations(1 )Chubin, D. E., May, G. S., & Babco, E. L. (2005). Diversifying the Engineering Workforce. Journal ofEngineering Education, 94(1), 73–86. https://doi.org/10.1002/j.2168- 9830.2005.tb00830.x(2) De Graaff, E., & Ravesteijn, W. (2001). Training complete engineers: Global enterprise andengineering education. European Journal of Engineering Education, 26(4), 419–427.https://doi.org/10.1080/03043790110068701(3) Jesiek, Zhu, Q., Woo, S. E., Thompson, J., & Mazzurco, A. (2014). Global Engineering Competency inContext: Situations and Behaviors. 16.(4) Lucena, J., Downey, G., Jesiek, B., &
] 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
“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