collection. Through GORP, the observer can select codes forobserved classroom activity for both the instructor(s) and students. Observations are coded in 2-minute intervals until the class session is over. If the observer makes a mistake, they can note itduring the next interval, and adjust the data accordingly by hand, after class. Data isautomatically analyzed in GORP and can be exported to a spreadsheet for further analysis.The COPUS evaluation process was also part of the development of this Work-in-Progress. Wefollowed the clustering convention put forth by Stains et al. [86] in order to better capture thebroader types of instructor and student behaviors that we were interested in at this stage in thestudy -- who's talking, who's working, who's
informstheir presentation.Acknowledgement: This material is based upon work supported by the National ScienceFoundation under Grant #s 1758317 and 1339951.Disclaimer: Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] R. W. Bybee, Case for STEM Education: Challenges and Opportunities, Arlington, VA, USA: National Science Teachers Association, 2013.[2] United States Department of Education, Fundamental Change: Innovation in America’s Schools Under Race to the Top, Washington, DC, USA, Nov. 2015. Available: https://www2.ed.gov/programs/racetothetop/rttfinalrptfull.pdf[3] United
information about the program and its successes at a wide variety ofconferences and meetings. A list of such presentations is given in Appendix B for the readerwho would like more detailed information about a particular aspect of STEER. The reader isalso encouraged to contact members of the leadership team directly.AcknowledgementThis project was supported in part by National Science Foundation IUSE grant No. DUE-1525574. We are grateful to the Office of Decision Support at the University of South Floridafor the permission to publish the course and institutional data presented here.References[1] G. Meisels, R. Potter, P. Stiling, J. Wysong, and S. Campbell, “Systemic transformation ofevidence-based education reform (STEER),” 2019 ASEE Annual
the author(s) and do not necessarily reflect theviews of the National Science Foundation.References[1] I. A. Toldson, I, “Why historically black colleges and universities are successful with graduating black baccalaureate students who subsequently earn doctorates in STEM (editor’s commentary),” J. Negro Educ., vol. 87, no. 2, pp. 95–98, 2018.[2] R. Winkle-Wagner and D. L. McCoy, “Feeling like an “Alien” or “Family”? Comparing students and faculty experiences of diversity in STEM disciplines at a PWI and an HBCU,” Race Ethn. Educ., vol. 21, no. 5, pp. 593-606, 2018.[3] R. T. Palmer, R. J. Davis, and T. Thompson, “Theory meets practice: HBCU initiatives that promote academic success among African Americans
as a scholar, dedicated to their course of study, hasbeen in decline since the 1960’s [1], [2]. A Bachelor’s degree was a means of academicintegration and status [3], facilitated by conventional lecture where an expert addresses thestudents using authoritative lecture style [4]. In this paradigm, students benefit from the student-mentor relationship having prepared for the interaction with intensive study. This has beenshown to be less beneficial to non-traditional students [5]. Non-traditional students come frompopulations such as community college transfer students or people who work temporary jobs thatare unrelated to their course of study [6]–[8]. Heavy workloads—greater than part-time workobligations—hamper their ability to do well
the effectiveness of an inverted classroom to a traditional classroom in an upper-division engineering course," IEEE Trans Edu, vol. 56, no. 4, pp. 430-435, 2013.[4] K. Fogg and S. Maki, "A remote flipped classroom approach to teaching introductory biomedical engineering during COVID-19," Biomedical Engineering Education, vol. 1, no. 1, pp. 3-9, 2020.[5] J. Bishop and M. Verleger, "The flipped classroom: A Survey of the Research," in 120th ASEE Annual Conference and Exposition, Atlanta, Georgia, 2013, pp. 23.1200.1- 23.1200.18, doi: 10.18260/1-2--22585.[6] A. Clyne and K. Billiar, "Problem-based learning in biomechanics: Advantages, challenges, and implementation," J Biomech Eng, vol. 138, no. 7, pp
students and faculties to understand the mindset behindthis project.https://engineeringunleashed.com/card/2479References:Adusumilli, P. S. et al. (2004) ‘Left-handed surgeons: Are they left out?’, Current Surgery, 61(6), pp. 587–591. doi: https://doi.org/10.1016/j.cursur.2004.05.022.Axt, J. R. and Lai, C. K. (2019) ‘Reducing discrimination: A bias versus noise perspective.’, Journal ofPersonality and Social Psychology. Axt, Jordan R.: Social Science Research Institute, Duke University,334 Blackwell Street #320, Durham, NC, US, 27701, jordan.axt@duke.edu: American PsychologicalAssociation, pp. 26–49. doi: 10.1037/pspa0000153.Blaser, B., Steele, K. M. and Burgstahler, S. E. (2015) ‘Including universal design in engineering coursesto attract diverse
or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. This work was completed within the framework of University of ToledoIRB protocols 300853 and 300721.DisclaimerOne of the authors may receive royalties from sales of the zyBook detailed in this paper.Bibliography[1] K. E. Chapman, M. E. Davidson, and M. W. Liberatore, "Student success and attempts on auto-graded homework across multiple cohorts in material and energy balances," Chemical Engineering Education, vol. 55, no. 1, pp. 43-50, 2021, doi: https://doi.org/10.18260/2-1-370.660-123169.[2] P. S. Steif and A. Dollar, "Study of usage patterns and learning gains in a web
://magazine.scienceforthepeople.org/vol22-1/lessons- from-the-long-sixties-for-organizing-in-tech-today/.Arcia, A., Suero-Tejeda, N., Bales, M. E., Merrill, J. A., Yoon, S., Woollen, J., & Bakken, S. (2016). Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy. Journal of the American Medical Informatics Association, 23(1), 174-183.Atman, C. J., & Bursic, K. M. (1998). Verbal protocol analysis as a method to document engineering student design processes. Journal of Engineering Education, 87(2), 121–132.Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert
value of using Fuzzy Logic in such applications depends onthe situation. Using Fuzzy Logic to detect and control the “darkness” of a piece of toast in atoaster seems to be a force-fit application, but in more complex situations, Fuzzy Logic allowsimplementation of non-linear control without complicated mathematical support.The Freescale S12 microcontroller includes specific instructions in its instruction set to supportFuzzy Logic applications. The presence of these four instructions as primitive operations in theS12 makes that microcontroller unique, and especially well-suited to Intelligent Controlapplications. This paper details those instructions in the S12’s instruction set that implementFuzzy Logic operations, and provides some
thevelocity vectors in the inlet plenum at a specified time (0.001 s) during the intake stroke. Thesimulation was conducted with the one equation Spalart-Allmaras model for turbulence, and auser-defined function (UDF) was employed in Fluent to model the time-varying pressureboundary condition at the outlet of the plenum. A video of the flow in the plenum covering theentire intake, compression, expansion, exhaust sequence was created. Proceedings of the 2011 North Midwest Section Conference (a) Mesh and Named Surfaces (b) Example Results – Static Pressure Contour Plot Figure 2: Analysis of a single gas turbine stage; mesh and sample results. (a) Side View
on potential IP filings and start-up company generation. Future work will aim toward establishing methods and results that caninvestigate the long-term effects nursing and student hackathons produce. If it is found in thisfuture work that the projects followed became viable products, then we will disseminate ourfindings and methodologies for adopting virtual nursing hackathon events prior to senior designprograms across undergraduate institutions to improve innovation in healthcare.References:[1] F. Hughes, “Nurses at the forefront of innovation,” International Nursing Review, vol. 53, no.2, pp. 94–101, 2006.[2] B. Luo, M. Mai, A. Shah, D. Herchline, C. Rojas, J. Hart, and S. Mehta, “102. Hacking OurWay To Improvement: Leveraging The
program [5, 10].Next year, we will investigate student-participants’ specific learning experiences with EMBERacross cohort demographics. We will conduct a nested case study to trace how student-participants’ experiences in academic and extra-curricular programs in their respective highschools could be further connected with EMBER’s offerings, and through EMBER with a moresuccessful academic, social, and personal transition into first-year engineering.References:[1] M. D. Berzonsky and L. S. Kuk, "Identity Status, Identity Processing Style, and the Transition to University," Journal of adolescent research, vol. 15, no. 1, pp. 81-98, 2016, doi: 10.1177/0743558400151005.[2] S. Fisher and B. Hood, "The stress of the transition to
(RISC) device. The debate amongcomputer architects as to whether CISC or RISC designs lead to better performance has no clearwinner. In some applications, CISC excels, whereas in other applications RISC wins. Althoughno processor is 100% CISC or RISC, the S12 and the ATmega32 display many of thecharacteristics of the two extremes. The S12’s instruction set includes many exotic instructionsmeant for specific applications. Notable are the fuzzy logic instructions, and the tableinterpolation instructions, that perform complex calculations behind the scenes. By contrast, theATmega32’s instruction set includes only simple, straightforward instructions that each performvery limited tasks. CISC proponents argue that their philosophy is best because
within theconstraints of a graded university course. Our work to evaluate these games is ongoing and includes questions abouttypical moral reasoning measures (DIT2 and EERI) as well as the impact on the quality of student think aloudreasoning, their conceptual development as indicated by concept maps, and their overall interest and engagementwith game play as experienced as playful and thought provoking. The workshop, in addition to describing andproviding instructional guides to the games, will provide some preliminary results from this evaluativeresearch.References[1] J. S. Brown, A. Collins, & P. Duguid, “Situated cognition and the culture of learning”, Educational Researcher,Jan-Feb, 1989, pp. 32-42.[2] J. Lave, & E. Wenger
improved including additional possible addendum to the articulation agreement. Tofurther assess the viability of the Program, Wright College will lead the expansion of the HPATmodel at its sister colleges and will implement the model at another 4-year transfer institution.Similarly, IIT will explore implementing the model at another 2-year partner institution(s) and theexpansion to disciplines other than engineering. 11ACKNOWLEDGMENTJ. Waranyuwat, B. Haffercamp, S. Lemons, J. Mandolini, M. Bauer, J. Alvarado, Wright CollegeEngineering Team (L. Huertas, M. Llopiz, S. Calabrese, G. Baird, K. Jones, M. Haptas, B.O’Connell), M. Angara and in memoriam
outcomes. Engineering a welcoming space where women canfind each other—to lean on and learn from each other—seems like a good place to start.AcknowledgementsThis work was funded by the Institute for Inclusion, Diversity, Equity, and Access in the GraingerCollege of Engineering, University of Illinois, grant number GIANT202005.References [1] J. Ehrlinger, E. A. Plant, M. K. Hartwig, J. J. Vossen, C. J. Columb, and L. E. Brewer, “Do gender differences in perceived prototypical computer scientists and engineers contribute to gender gaps in computer science and engineering?” Sex roles, vol. 78, no. 1, pp. 40–51, 2018. [2] J. Hunt, “Why do women leave science and engineering?” ILR Review, vol. 69, no. 1, pp. 199–226, 2016. [3] S. S. Silbey
attention cueingin animations. Computers & Education, 55(2), 681-691.[2] de Koning, B. B., Tabbers, H., Rikers, R. M. J. P., & Paas, F. (2009). Towards a frameworkfor attention cueing in instructional animations: Guidelines for research and design. EducationalPsychology Review, 21(2), 113-140.[3] de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2007). Attention cueing asa means to enhance learning from an animation. Applied Cognitive Psychology. 21(6), 731-746.[4] de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2010a). Attention guidancein learning from a complex animation: Seeing is understanding? Learning and Instruction, 20(2),111-122.[5] Mayer, R. E., Hegarty, M., Mayer, S., & Campbell, J
word count for compassion than kindness) and 21 papersalso discussed empathy (6 with higher word count for empathy than kindness). Related termsthat commonly appeared in these 29 papers also included: caring (20 papers), respect(ful) (17papers), ethic(s/al) (15 papers), and altrui(sm/stic) (14 papers). A detailed exploration of notionsof care in engineering was conducted by Strobel et al. [41]. Kindness may be more active andpersonal than care, as in showing kindness to others (or even oneself), and avoids potentialconfusion around notions of care and diligence in conducting accurate calculations. This quickanalysis shows the inter-relatedness of the ideas of kindness, compassion, empathy, and caring,illustrated somewhat more clearly in the
U e I : Mag ifica i Selec ed del D -d elec i Objec P ii i g F ce a d ag ifica i S a , Re e S a /S /Re e M de Se O Figure 4. User Interface design3.1. Model Setup:This step allows the user to define the
- components proposed in the fulfilled (40 points) missing 1-2 items. proposal successfully. Total: 90 points* Creativity track project should accompany a brief written report with student(s) name(s), and 1) thelearning objectives it includes, 2) description of the project, 3) justification of difficulty, 4) explanation offinal deliverable (artwork, videos, etc.), and 5) references (optional).Out of 122 students in Section 1, 69 students submitted the letter of intent, and 51
quantitative methods, descriptive and t-test, to analyze studentconfidence (instead of preparedness).Students provided responses to the prompt “Give a brief description of the experiences you havefound most influential in your career choice(s).” Participants were able to respond to thisquestion up to four times if they had or wanted to list more than one experience. The maximumresponse count was 171 for the first experience listed, which can be argued as possibly the mostimpactful experience on students' professional identity.The responses for the prompt were analyzed using thematic analysis [26]. A single coder initiallyconducted the analysis of the responses, starting with a set of a priori codes that came from thedevelopment team’s vision of the
collection of first-year engineering courses. Some descriptive information about theuniversities, the college of engineering degrees offered, student demographic information, andthe collection of first-year engineering courses are presented in Table 1. Table 1. Summary of Descriptive Information about Three Institutions in Study Uni. Descriptive Information First-Year Engineering (FYE) Course/s 1 University: Medium-sized, private, STEM+Business university 1. Introduction to COE Degrees: Aerospace, Civil, Mechanical, Electrical
computing. She is currently involved with an NSF-funded S-STEM project that awards scholarships to students studying computing at USF. The project implements a suite of community- building activities designed to improve scholars’ self-efficacy and develop computing identity. Sami also co-directed a project that developed system support and user-driven strategies for improving energy effi- ciency in residential buildings. Sami has served in a number of service roles at USF and in her professional community. She was chair of the Computer Science department at USF from 2013-2016. She also served on the editorial board of Sigmobile’s GetMobile Magazine from 2014-2018. She has been involved with the discipline-specific
increases our sample range and will enrich our study by enabling us to understandhow these results might be different and/or similar across different types of institutions. Second,we intend to expand our sources of data to include students as participants in our study. Webelieve this is important for the triangulation of our data. Hence, we intend to interview studentsto understand how they perceive the study abroad program’s marketing materials.References[1] S. Jorgenson and L. Shultz, “Global Citizenship Education (GCE) in Post-Secondary Institutions: What is protected and what is hidden under the umbrella of GCE?,” J. Glob. Citizsh. Equity Educ., vol. 2, no. 1, Art. no. 1, Apr. 2012, Accessed: Feb. 26, 2021. [Online]. Available: https
perceptions of their level of engagement with the class and active learning. Thestudents in both sections were asked a series of questions designed by the authors, to elicitcandid responses. The survey was conducted separately from the regular student courseevaluations and was completed before the final course grade postings. Table 7 compares studentresponses on the midterm survey (S = Synchronous, N=41/41 and A = Asynchronous N=19/20).The only significant difference (p < 0.1) found using the Mann-Whitney U test was for thestatement “I felt more engaged during activities than lectures”. Table 8 compares studentresponses on the final survey (S = Synchronous, N=39/41 and A = Asynchronous N=20/20). Theonly significant difference (p < 0.5) found
ProgramsWhile literature examining the term “onboarding” specifically is limited within higher education,programs designed to support newly admitted students are commonly described in first-yearexperience literature [20]. These programs are meant to support students’ transition into collegeand have been around since as early as the 1600’s. In fact, Harvard College implemented anorientation program that connected new students with current students in 1636 [21]. The firstonboarding programs were primarily designed to support the transition of new students into post-secondary education. Today’s onboard programs vary among institutions, but it is common tosee one- or two-day orientation programs, first-year seminars, welcome weeks, and commonbook reading