through an API to Google Sheets. Students were then able to open the GoogleSheets to access and record the measurements taken for use in their calculations. The data in thespreadsheet included dry bulb temperature and relative humidity of room air and air at thedownstream of the evaporative pad. Students then use these variables to calculate the directsaturation efficiency (𝜀𝑒 ) of the evaporative cooler. The code implemented on the Arduino boardfor measuring and sending data is shown in the appendix (appendix-B). For reference, arecording of the temperature at the downstream of the evaporative pad is given in Figure 3. Thisgraph also shows the time scale associated with the transient cooling in the setup. It only takesabout 30 s to cool down
errors.Generic errors Specific errors• Conceptual errors • Action definition • Incorrect transfer of • Mixed up of constructs[Hall12 (58%)] wrong [Winikoff14] knowledge [Pillay06] (if and while)• Misunderstanding / • Action(s) of rule • Inefficient problem [Grandell05]misinterpretation wrong (but legal) solving approach • Natural-language[Spohrer86, Robins10] [Winikoff14] [Pillay06] problem [Robins10]• Problem solving • Additional (wrong) • Interpretation problem • Not supported[Bryce10, Pillay06] rule [Winikoff14] [Robins10] [Spohrer86] • Cognitive load • Lack of • Not
. M. Drummond Oakes, K. M. Everett, M. T. Harris, M. Sydlik, & A. F. Godwin, A. F. “Expanding Summer Research Programs at an NSF ERC: Activities, Assessment, and Adaptation.” in 2020 ASEE Virtual Annual Conference Content Access, Virtual On line. 10.18260/1-2—34626.4. C. M. Cunningham, & C. P. Lachapelle, “Designing engineering experiences to engage all students” in Engineering in Pre-College Settings: Synthesizing Research, Policy, and Practices, Ş. Purzer, J. Strobel, and M. Cardella., Eds. Purdue University Press, 2014, pp, 117-140, 2014.5. K. I. Maton, T. S. Beason, S. Godsay, M. R. Domingo, T. C. Bailey, S. Sun, & F. A. Hrabowski, (2016). “Outcomes and processes in the Meyerhoff Scholars program: STEM PhD
Education, 2021 Cultural dimensions in academic disciplines, a comparison between Ecuador and the United States of AmericaAbstractBroadening participation in engineering has been part of the engineering education researchagenda for years. We argue that if we can understand the traits of the different dimensions ofculture in engineering, we can identify potential solutions to broaden participation. In this study,we are comparing how engineering students from Ecuador and the United States characterizetheir culture orientation based on Hofstede´s cultural dimensions theory. Data were collectedwith engineering students at major polytechnic universities in Ecuador and the United States.The survey was translated into Spanish for the
being adopted by teachers, the effect on teacher andstudent attitudes toward science, and how the activities are sustained over time. This researchwill help reveal the scope of LTW’s value and guide iterations of the online tools andcurriculum.On a more general level, I envision that LTW will contribute to a deeper integration of music inthe schools’ curriculum, for example by incorporating other subjects such as the creation ofelectronic music through computing, and the relations between music and data science, history,literature, foreign lenguages, and world-culture. 10References.[1] J. B. Brockman, D. C. Hall, S. P. Martin, and L. A. Phillips
STUDY00003639. Students’ identification areomitted during the grading and measuring performances to follow the IRB guidelines.References [1] T. T. Baldwin and J. K. Ford, “Transfer of training: A review and directions for future research,” Personnel psychology, vol. 41, no. 1, pp. 63–105, 1988. [2] D. McAvoy, “A repeated exposure experiment to improve knowledge retention,” age, vol. 15, p. 1, 2010. [3] B. E. Barry, W. C. Graves, and J. L. Klosky, “Knowledge decay in an engineering mechanics sequence,” Journal of Professional Issues in Engineering Education and Practice, vol. 143, no. 3, p. 04016024, 2017. [4] S. Ande, “Studying the effectiveness of peer instruction in statics,” in ASEE Gulf-Southwest Section Annual Meeting 2018 Papers
the Professoriate (AGEP) Alliance for Diversity and Strengths of STEM Faculty: A Culturally-Informed Strengths-Based Approach to Advance Early-Career Faculty Success. Dr. Almeida is also Co-Principal Investigator for the NSF Scholarships in Science, Technology, Engineering & Mathematics (S-STEM) grant, Engineering Neighbors: Gaining Access Growing Engineers (ENGAGE). Dr. Almeida’s graduate training is in Urban Education Policy – Higher Education from the University of Southern California.Dr. John Y. Oliver, California Polytechnic State University, San Luis Obispo Dr. Oliver is a professor of Electrical Engineering and Computer Engineering at Cal Poly, San Luis Obispo. His field of expertise is in computer
met with the class during one semester of school for a total of 21,90-minute class periods over the course of 13 weeks. Lessons and activities took place within thestudent’s regular classroom and a multi-use lab space adjacent to the classroom. All students (n =24 students) enrolled in the class were included in the outlined intervention, but in line with thenature of this work in progress, the preliminary data presented here includes informationdetailing only one student, Jamie (pseudonym used for student’s privacy).Prior to beginning the intervention, a modified version of the Student Attitudes toward STEMsurvey (S-STEM) [1] was created. The S-STEM survey, which collects student data related tothoughts and feelings regarding STEM (Science
modules provide opportunities for students and teachers alike to be introduced toengineering design.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.EEC-1824856 and EEC-1824859.References[1] NGSS Lead States. Next generation science standards: For states, by states. Washington,DC: National Academies Press, 2013.[2] P. Trygstad, P. S., Smith, E. R. Banilower, & M. M. Nelson, M. M. The Status of ElementaryScience Education: Are We Ready for the Next Generation Science Standards?. Chapel Hill, NC:Horizon Research, Inc, 2013.[3] D. Harlow, R. Skinner, A. Hansen, J. McBeath, J. Pulgar, A. Spina., M. McLean, C.Barriault, A. Prud’homme-Genereux, “Creating STEM Learning Opportunities
apply their learning of abstract and intangibleconcepts. Moreover, educators and curriculum designers will be able to innovate course andinstructional designs that offer students ways to improve how they can make sense of theirlearning.References [1] S. Sheppard, A. Colby, K. Macatangay, and W. Sullivan, “What is Engineering Practice?,” International Jounral of Engineering Education, vol. 22, no. 3, pp. 429– 438, 2006, Accessed: Mar. 15, 2019. [Online]. Available: https://www.ijee.ie/articles/Vol22-3/02_ijee1751.pdf. 8[2] R. A. Streveler, T. A. Litzinger, R. L. Miller, and P. S. Steif, “Learning Conceptual Knowledge in the Engineering Sciences
Multicultural Education: A Renewed Paradigm of Transformation, p. 20.[7] G. May, M. Taisch, A. Bettoni, O. Maghazei, A. Matarazzo, and B. Stahl, “A New Human- centric Factory Model,” Procedia CIRP, vol. 26, pp. 103–108, 2015, doi: 10.1016/j.procir.2014.07.112.[8] S. Hadjerrouit, “Learner-Centered Web-Based Instruction in Software Engineering,” IEEE Trans. Educ., vol. 48, no. 1, pp. 99–104, Feb. 2005, doi: 10.1109/TE.2004.832871.[9] B. Altay, “User-centered design through learner-centered instruction,” vol. 19, no. 2, pp. 138–155, Feb. 2014, doi: 10.1080/13562517.2013.827646.[10] P. Debiec, “Effective Learner-Centered Approach for Teaching an Introductory Digital Systems Course,” IEEE Trans. Educ., vol. 61, no. 1, pp. 38–45, Feb
the“How well have you improved...” self-assessment questions in the survey, the students withdisability responded significantly (p=0.004 for response of “very well improved” and p=0.048for “extremely well improved”) more positively than the majority. Moreover, the group ofstudents who transferred or the group of students who were international, we found these twogroups of non-majority students also gave more positive responses than the majority. We foundthese three student groups shared a commonality: their common areas are the ability tocommunicate and explore from viewpoints of more than one academic field. Lastly, greaterpercentages of students with disability found “Course(s) outside my major” had the most impacton their improvement than
: https://doi.org/10.1207/s15327809jls1501_8.[2] R. S. Newman, “How self-regulated learners cope with academic difficulty: The role ofadaptive help seeking,” Theory Pract., vol. 41, no. 2, pp. 132–138, 2002, doi:10.1207/s15430421tip4102.[3] T. G. Plax, P. Kearney, J. C. McCroskey, and V. P. Richmond, “Power in the classroomvi: Verbal control strategies, nonverbal immediacy and affective learning,” Commun. Educ., vol.35, no. 1, pp. 43–55, 1986, doi: 10.1080/03634528609388318.[4] A. V Maltese, A. Simpson, and A. Anderson, “Failing to learn: The impact of failuresduring making activities,” Think. Ski. Creat., vol. 30, pp. 116–124, 2018, doi:10.1016/j.tsc.2018.01.003.[5] H. Petroski, Success through failure: The paradox of design
on students’ environmental knowledge and science attitudes”, International Research in Geographical and Environmental Education, 23:3, 213-227, 2014. DOI: 10.1080/10382046.2014.927167 [4] S. Wurdinger, J. Haar, R. Hugg, and J. Bezon. “A qualitative study using project-based learning in a mainstream middle school” First Published July 1, 2007 Research Article https://doi.org/10.1177/1365480207078048 [5] H. J. Passow, & C. H. Passow, “What Competencies Should Undergraduate Engineering Programs Emphasize? A Systematic Review.” Journal of Engineering Education, 106(3), 475–526, 2017 [6] C. Dym, A. Agigino, O. Eris, D. Frey, L. Leifer, “Engineering design thinking, teaching, and learning.” Journal of Engineering Education
, cultures, and personalities ofeach team or organization member confound effective decision-making and lead to personal andprofessional conflict. This means that the technical leader must consider the problem(s) in lightof both the individuals involved and the engineering or scientific challenges. Unfortunately,academic training does not build awareness of such issues, and therefore does not equip studentsor postdoctoral scholars with tools to address these situations.Technical degree programs focus on technical competency, continuous learning, passion forengineering and science, and ability to identify significant problems. Aptitude in these areas isessential but not sufficient for success in technical leadership. Effective leaders also must
notcomplete a humanitarian engineering project and compare those results to the existing data ofstudents who did experience such a project.AcknowledgementsThe authors are indebted to the Mid-Ohio Foodbank for their vision to create healthier, hunger-free communities. This work was supported by KEEN-ICE grant from the Kern FamilyFoundation. This work is also supported by Hatch project no. OHO01342 / accession no.1003938 from the USDA National Institute of Food and Agriculture. Any opinions, findings,conclusions, or recommendations expressed in this publication are those of the author(s) and donot necessarily reflect the view of the U.S. Department of Agriculture.References[1] J. Roy, “Engineering by the Numbers,” ASEE Dept. of Institutional Research
that there were some participants who did not enjoy certainaspects of the academies is noteworthy, the negative perception(s) of these three individuals werecertainly not the norm (outliers) nor indicative of most participants overall academy experience. In fact, the finding that only five of the 301 total responses collected for this section ofthe survey were negative is quite admirable and indicates that less than 2% of responses werenegative. However, there were three items (Did your attendance at the Batmen/Wonder WomenAcademy increase your interest in engineering?; Were you pleased with the housing that wasprovided for you at the Batmen/Wonder Women Academy?; and Were you pleased with themeals that were provided for you at the
and Evaluating Multidisciplinary Translational Teams: AMixed Methods Approach,’ Evaluation & the Health Professions 2014, Vol. 37(1)[33-49]Scott, C. J., & Aybar, J. D., & Abraham, S., & Albin, S., & Andrei, P., & Attia, J.O., & Chouikha, M. F., & Bernadin, S. L., & Connor, K. A., & Dabipi, I. K., &Eldek, A. A., & Geddis, D., & James-Okeke, P. A., & Kelly, J. C., & Leigh-Mack,P., & Morales, J. C., & Ndoye, M., & Nyarko, K., & Oni, B. O., & Quinones, S.A., & Reece, M. A., & Zhang, L., & Zein-Sabatto, S. (2019, June), Board 65:Work in Progress: Growing and Sustaining a Successful Collaboration ofPrograms Developing and Implementing Experimental Centric
satisfaction among ECE faculty.This material is based upon work supported by the National Science Foundation (NSF) underaward EEC-1623125. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NSF. References[1] M. F. Fox, “Women and Men Faculty in Academic Science and Engineering: Social- Organizational Indicators and Implications,” American Behavioral Scientist, vol. 53, no. 7, 2010, pp. 997–1012.[2] E. A. Frickey and L. M. Larson, L. M. “A closer examination of Engineering Department culture: Identifying supports and barriers.” Poster session presented at the annual meeting of the American
universities did not actively cooperate with enterprises in internationalcooperation. After the initial setback, the Chinese government guided the universities to buildthe B&R at 2015, therefore the universities and enterprises collaboration has graduallyemerged, like through building alliances, to promote the prosperity of B&R.Universities provide training for enterprises to help enterprise’ managers learningmanagement knowledge and professional knowledgeEducation will be critical to the project’ s success. It is essential for the specialist training ofengineers engaged in the work.[8] We found that the eleven subject companies all haveemployee exchange and training programs. The China Civil Engineering ConstructionCorporation, for example
, pp. 285-290.[6] K. J. Chew, H. Chen, B. Rieken, A. Turpin, and S. Sheppard, "Improving students’ learning in statics skills: Using homework and exam wrappers to strengthen self-regulated learning," in ASEE Conferences. doi, 2016, vol. 10, p. 25633.[7] P. G. Gezer-Templeton, E. J. Mayhew, D. S. Korte, and S. J. Schmidt, "Use of exam wrappers to enhance students’ metacognitive skills in a large introductory food science and human nutrition course," Journal of Food Science Education, vol. 16, no. 1, pp. 28-36, 2017.[8] B. Stephenson, M. Craig, D. Zingaro, D. Horton, D. Heap, and E. Huynh, "Exam wrappers: Not a silver bullet," in Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science
bothstudents and instructors. Students will likely perceive greater benefits from using concept mapsin courses evaluated on comprehensive applications. Students may also find the concept mapmore useful if it is modified to include more equations and analytical relationships. More datashould be collected to increase the sample size and control for variations in course offerings forconclusive evidence to be gathered on the impact of concept maps in undergraduate fluidmechanics.References[1] National Research Council, How People Learn: Brain, Mind, Experience, and School: Expanded Edition. Washington, DC: The National Academies Press, 2000.[2] S. Freeman et al., “Active learning increases student performance in science, engineering, and
. I. I NTRODUCTIONHigh Performance Computing (HPC) stands at the forefront of engineering innovation [1, 2].With affordable and advanced HPC resources more readily accessible than ever before,computational simulation of complex physical phenomena is an increasingly attractive strategyto predict the physical behavior of diverse engineered systems [2], such as systems in nuclearsafety [3], outcome of cancer treatment [4], or multidimensional flight stresses on aircraft. Tomaintain the U.S.’s leadership position in HPC production and application [2], and to meet theneeds of the rapidly growing HPC market [5], American institutions of higher education mustproduce a sufficient supply of highly-trained HPC professionals. Sadly, at current rates
, opportunitiesand lessons for EU policy design (2018/2090(INI)),” 2018. [Online]. Available:http://www.europarl.europa.eu/doceo/document/A-8-2018-0400_EN.pdf.[3] O. Mayseless and E. Keren, “Finding a Meaningful Life as a Developmental Task inEmerging Adulthood: The Domains of Love and Work Across Cultures,” EmergingAdulthood, Vol. 2(1) pp. 63–73, Jan 2014, doi:10.1177/2167696813515446.[4] E. Pekkarinen & S. Myllyniemi (eds.), Opin polut ja pientareet. Nuorisobarometri 2017[Educational pathways and roadsides. Youth Barometer 2017.], Publications of the StateYouth Council 58, Publications of the Finnish Youth Research Society/Finnish YouthResearch Network 200, 2018.[5] D. Yazilitas, S. Saharso, G. C. de Vries and J. S. Svensson, “The
-20 Best Colleges Ranking,” https://money.com/best-colleges/profile/university-of-california-irvine/, accessed 17 Apr. 2020. [4] “College Navigator - University of California-Irvine,” https://nces.ed.gov/collegenavigator/ ?q=university+of+california+irvine&s=CA&id=110653#enrolmt, accessed 17 Apr. 2020. [5] “First-generation students make up half of UCI’s class of 2018,” https: //news.uci.edu/2018/06/04/first-generation-students-make-up-half-of-ucis-class-of-2018/, accessed 17 Apr. 2020. [6] R. Pan, R. Shehab, C. Foor, D. Trytten, and S. Walden, “Building diversity in engineering competition teams by modeling industry best-practice,” in 2015 ASEE Annual Conference & Exposition, 2015. [7] D. A. Trytten, R
Institute of Medicine, Expanding Underrepresented Minority Participation: America's Science and Technology Talent at the Crossroads. Washington, D.C.: The National Academies Press, 2011.[2] B. M. Ferdman. (2013, 1 December 2015). Diversity at work: the practice of inclusion in diverse organizations.[3] Cech, E. A., & Waidzunas, T. J. (2011). Navigating the heteronormativity of engineering: The experiences of lesbian, gay, and bisexual students. Engineering Studies, 3(1), 1-24.[4] Cech, E. A., & Rothwell, W. R. (2018). LGBTQ Inequality in Engineering Education. Journal of Engineering Education, 107(4), 583-610.[5] Patridge, E. V., Barthelemy, R. S., & Rankin, S. R. (2014). Factors impacting the academic
will use the list of themes and codes developed by Garcia etal.’s (2019) servingness framework as a starting point of a priori codes, while also employingopen coding to identify structural characteristics that are specific to this context and do not fit thelist of codes in Garcia’s study. To identify the cultural characteristics, we will utilize valuecoding, defined by Saldaña (2016) as the application of codes unto data that reflects the values,attitudes, and beliefs about the phenomenon under study [21]. In this case, these codes will applyto the institution’s values, attitudes and beliefs about their role in serving Latinx students. Oncethe structural and cultural characteristics have been identified, we will conduct a second round ofcoding
empirical study of expert problem-solving that frames the process of anexpert solving an ill-structured (“authentic”) problem in terms of the decisions that experts make[16]. They find a remarkably consistent set of approximately 30 decisions that experts make asthey solve problems, such as deciding to decompose the problem into smaller pieces, deciding onan appropriate abstract representation of the problem (e.g. diagrams or equations), and decidingon the failure modes of a potential solution. These empirical findings are in line with theory thatsuggests decision-making represents the core processes in solving a variety of complexproblems, such as design problems [17, 18]. Central to Price et al.’s empirical model of problemsolving is an expert’s
to themas long as they are UIC students.For the non-therapeutic content, the research team leaned heavily into the work being done bythe Office for Research on Student Success, particularly a tool called Non-Cognitive Profiles(Appendix). The percentages to the right reflect all students who participated in the survey. Forparticipating students, the areas of highest concern were identified as the student’s likelihood toseek help/view help-seeking as non-intimidating and the student’s confidence that s/he willbelong in college. To address the academic help-seeking, the research team attempted tonormalize interactions with professors, which can often be intimidating to new students. Anengineering faculty member either lead or co-facilitated
), Electrical Engineering (EE), and Mechanical Engineering (ME). Up to 2000, thetotal ME enrollment was below 300 students. The ME program experienced rapid enrollmentgrowth starting in 2000 and the enrollment has reached to a current enrollment exceeding 1200students. Typical class sizes in the ME program gradually increased from 10-20 students in 1980’s,to 20-40 students in 1990s, 30-60 students up to 2002, and finally to 40-130 students beyond 2002.The author has observed that 95-100 % students attend classes when class size is less than 30students. Attendance decreases with increasing class size. Attendance also decrease if it is not afactor on the final grade. In very large classes attendance can be as low as 60% in a given day, evenif it has a