* Resources Time Affiliation S F/S A Total 1 Fri What is Anti- ARCH - - - - An Anti-Racist Manifesto [8] 6/26/20 Racist Design, student Why I’m an architect that designs for social impact, 5-6 PM Planning and not buildings | Liz Ogbu TED Talk [9] Building? Black in Design Session 3, Mobilizing and Organizing [10] 2 Wed Placemaking as
. https://ncsesdata.nsf.gov/fedsupport/2018/.[3] J. C. Kelly, M. F. Chouikha, C. J. Scott, K. A. Connor, D. Geddis, M. Ndoye, S. Abraham, M. Velez-Reyes, S. Zein-Sabatto, and R. Yaqub, “The inclusive engineering consortium stakeholders workshop,” in ASEE’s Virtual Conference, June 2020.[4] J. Hemming, K. Eide, E. Harwood, R. Ali, Z. Zhu, J. Cutler and the National Research Mentoring Network Coachingi Group Directors, “Exploring professional development for new investigators underrepresented in the federal funded biomedical research workforce,” Ethnicity & Disease, vol 29, supplement 1, pp 123-128, 2019.[5] V. L. Shavers, P. Fagan, D. Lawrence, W. McCaskill-Stevens, P. McDonald, D. Browne, D. McLinden
of Stress Management, vol. 11, no. 2, pp. 32-148, 2004, doi: 10.1037/1072-5245.11.2.132.[4] J. Posselt and S. Lipson, "Competition, Anxiety, and Depression in the College Classroom: Variations by Student Identity and Field of Study," Journal of College Student Development, vol. 57, pp. 973-989, 11/01 2016, doi: 10.1353/csd.2016.0094.[5] D. Eisenberg et al., "The Healthy Minds Study: 2018-2019 Data Report," 2019.[6] S. A. Wilson, Hammer, J.H., Usher, E.L., "Engineering Student Mental Health: Analysis of national data from the Healthy Minds Study," presented at the American Institute of Chemical Engineers National Conference, Virtual, 2020.[7] C. Mitchell, B. McMillan, and T. Hagan, "Mental health help
Wilcoxon Signed Rank Test, the Kruskal-Wallis test does not identify whichsample(s) are not taken from the same population of data. However, inspection of Tables 2-5 andthe underlying data shows that the courses that were taught in a face-to-face format in Fall 2020received lower evaluation scores in Fall 2019. This is also consistent with the Wilcoxon SignedRank Test results, which showed that the face-to-face courses were the only courses where someof the scores showed statistically significant improvement from Fall 2019 to Fall 2020. Incontrast, some of the scores for courses taught in other modes of instruction in Fall 2020 showedstatistically significant decreases between Fall 2019 and Fall 2020. It is logical, therefore, thatthe Fall 2019
. 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
Science Foundation Grant #1710735. Special thanksto all the faculty who participated in our T1 Summit.References[1] Marker A, Pyke P, Ritter S, et al. Applying the CACAO change model to promote systemic transformation in STEM. Transform Institutions Undergrad STEM Educ 21st Century 2015; 176–188.[2] Peterson V, James C, Dillon HE, et al. Spreading Evidence-Based Instructional Practices: Modeling Change Using Peer Observation. In: The 22nd Annual Conference on Research in Undergraduate Mathematics Education. Oklahoma City, OK: Mathematical Association of America, 2019.[3] Lane AK, Skvoretz J, Ziker JP, et al. Investigating how faculty social networks and peer influence relate to knowledge and use of evidence
education, K-12 STEM teacher professional development, and preservice teacher preparation in STEM.Dr. Joanna K. Garner, Old Dominion University Dr. Garner is Executive Director of The Center for Educational Partnerships at Old Dominion University, VA. American c Society for Engineering Education, 2021 Near-Peer Mentoring and Early Exposure to Computer Science – Quantitative and Qualitative Results - SummaryIntroductionThe CS/M Scholars Program at Western Washington University (WWU) is funded by an NSFTrack 2 S-STEM grant (Award Number 1742110). The grant funds scholarships for low-incomehigh-achieving students majoring in computer science or math and
remotely on their year-long projects at the end of August. The mid-termpresentations were held on January, 2021 and it appeared that all students were making very goodprogress. Advisors meet with students weekly over ZOOM. While everyone is looking forward toreturning to our traditional format, we have all adjusted and I really believe that this year’s programis running as well as it would under traditional circumstances.References[1] ”Envisioning the Data Science Discipline: The Undergraduate Perspective: Interim Report” National Academies Press: OpenBook, https://www.nap.edu/read/24886/[2] Berman, F., Rutenbar, R., Hailpern, B., Christensen, H., Davidson, S., Estrin, D., aˆ Szalay, A. S. Realizing the potential of data science
Applications” innext phase of the project.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1935646. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] G. Giffi, P. Wellener, B. Dollar, H. Ashton Manolian, L. Monck, and C. Moutray, “Deloitte and The Manufacturing Institute skills gap and future of work study,” 2018.[2] S. A. Ambrose, M. Lovett, M. W. Bridges, M. DiPietro, and M. K. Norman, How learning works : seven research-based principles for smart teaching. San Francisco: US: Jossey- Bass, 2010.[3] S. A. Ambrose and L
wereendangered through their participation. Complementary to this line of analysis, we have beenconducting workshops that introduce this framework as a tool for participants seeking to makechange [6, 7].AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.EEC 1914578, 1915484, 1913128, 1519339. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. We would also like to acknowledge thecontributions of colleagues Kelly Cross, Donna Riley, and Alice Pawley, and graduate studentsJasmine Desiderio and Susan Sajadi.References1. Kezar, A., What is the best way to
), 1st-generation status (a student whose parent(s) did notcomplete a four-year college or university degree) and finally by responses based on scoring on theengineering self-efficacy scale (threshold value of 4.0 out of 5 set as high-ESE).Thirty-two females completed the survey and twenty-four males, one student identified as genderqueer ornon-binary. This data point was not considered when comparing differences in gender due to the smallsample size but was considered for analysis of 1st-generation and low- vs. high-engineering self-efficacy.Eighteen students reported being 1st-generation, thirty-nine were not. Twenty-one scored 4.0 or greater onmeasures of engineering self-efficacy, thirty-six scored below 4.0.To examine the reliability of the
limitscomparisons that can be made in the study, but in the future, more data will likely be added tohelp address this limitation. The study will also be expanded in the future to include more onlineand summer classes, in addition to the traditional face-to-face classes. This will help determinewhether students need the class to be structured differently from traditional face-to-face classes.References[1] S. Freeman, D. Haak, and M. P. Wenderoth, "Increased Course Structure Improves Performance in Introductory Biology," Cbe-Life Sci Educ, vol. 10, no. 2, pp. 175-186, June 20, 2011 2011, doi: 10.1187/cbe.10-08-0105.[2] J. F. Shaffer, "Student performance in and perceptions of a high structure undergraduate human anatomy course
) design and b) control dimensions of first-year engineering education References[1] R. M. Marra, B. Palmer and T. A. Litzinger, "The effects of a first‐year engineering design course on student intellectual development as measured by the Perry scheme," J Eng Educ, vol. 89, (1), pp. 39-45, 2000.[2] F. Ö Karataş, G. M. Bodner and S. Unal, "First-year engineering students' views of the nature of engineering: implications for engineering programmes," European Journal of Engineering Education, vol. 41, (1), pp. 1-22, 2016.[3] M. J. A. Brey, M. D. Mizzy and R. Goldberg, "A maker-in-residence program to build a community of makers," in ASEE Annual Conference & Exposition, 2017.[4] *E
[22]. During World War II (1939-45),women engaged in roles that were previously exclusive to males although women did not benefitequally [34]. The 1960’s and 1970’s led to the creation of law and programs to promote equityand challenge gender-related disparities including the 1964 Civil Rights Act, the Title IX of theEducation Amendments Act of 1972, and the Women’s Educational Equity Act of 1974 to namea few. Nonetheless, these women scientists continued to bring “modest but essential change tohigher education in the years 1972-1985” [35, p. 39].In the Nineteenth and Twentieth century, women studying or working in engineering wereperceived as outcasts. The first women pursuing engineering were labeled as “others”; a smallthreatening group of
, “Drawing on experience: Connecting art and language/bridging the theme,” Primary Voices K-6, vol. 10, no. 2, p. 2, 2001. [3] R. M. Yasin, L. Halim, and A. Ishar, “Effects of problem-solving strategies in the teaching and learning of engineering drawing subject,” Asian Social Science, vol. 8, no. 16, p. 65, 2012. [4] S. A. Sorby, “Educational research in developing 3-d spatial skills for engineering students,” International Jour- nal of Science Education, vol. 31, no. 3, pp. 459–480, 2009. [5] J. M. Lakin and J. Wai, “Spatially gifted, academically inconvenienced: Spatially talented students experience less academic engagement and more behavioural issues than other talented students,” British Journal of Educa- tional Psychology
University Jana L. Bouwma-Gearhart is an associate professor of STEM education at Oregon State University. Her research widely concerns improving education at research universities. Her earlier research explored en- hancements to faculty motivation to improve undergraduate education. Her more recent research concerns organizational change towards postsecondary STEM education improvement at research universities, in- cluding the interactions of levers (people, organizations, policy, initiatives) of change and documenting the good, hard work required across disciplinary boundaries to achieve meaningful change in STEM ed- ucation.Dr. Louis S. Nadelson, University of Central Arkansas Louis S. Nadelson has a BS
kits withportability, and the students can use such lab kits in multiple courses throughout theirundergraduate study.Digilent offers a BNC adaptor for the AD2 to allow the usage of BNC cables for signal input andoscilloscope probes for monitoring signals while preserving the bandwidth. It is important tonote that this feature is in addition to the built-in 2-channel function generator and the virtual 2-channel oscilloscope of the AD2. AD2, M2K, and OSMZ all share identical flywire interfaces(the pinout maps are also almost the same except the pins that differ in functionality. Forexample, the AD2’s waveform-2 pin is a clock pin on the OSMZ board as the OSMZ board doesnot provide a second function generator channel). Therefore, the BNC adaptor
decision treeand separate the sample into mutually exclusive nodes which share common attributes.Attributes of nodes with a high proportion of students overpersisting will be used to identifycurrently enrolled students at risk of overpersisting. The variables used to make thesedeterminations can be categorical or continuous. In addition to traditional demographic variables,the variables currently under consideration are listed in Table 1.Table 1. Predictor variables computed for CHAID analysis Variable(s) Description first.term.hours Number of credit hours attempted in student’s first term first.major & last.major Majors enrolled in during the student’s first and last terms grad.major
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., &
“disseminationparadigm” in contrast to the “propagation paradigm” [6]. The dissemination paradigm is the ideathat “if we build it, they will come,” meaning that developers acting in this paradigm believe thatdesigning evidence-supported pedagogical innovations and presenting the results at conferencesand in journal articles will result in adoption. However, the data suggest that this is not the case[7], [8]. On the other hand, the propagation paradigm involves developers working with potentialadopters throughout the development process to create innovations that meet the needs of a widerange of engineering educators, thus providing motivation and opportunity for sustainedadoption. Using Froyd et al.’s [6] paradigms as two ends of a spectrum, we can capture a
testing and regression testingDeliverable 3 Update test design plan, and perform continuous integration testing and regression testingDeliverable 4 Complete the test design plan and perform system testingNote that developing and testing the same project sometimes involved changing requirements; onthe other hand, testing the same project did not involve changing requirements, thereby making thetesting process a lot easier.4.3 Sample ProjectsThis section summarizes some of the group projects used for testing in CEN4072 in 2016, 2017,2019, and 2020. The summary includes the semester (year) the project was done, the project name,a short description of the project, the language(s) used, and development and testing tools used. In2016 and 2020, the
, S = Energy and Sustainability,No = not observed)Code Definition CourseMastery Competence, proficiency in understanding and applying No knowledgeBroader context Understanding of the subject’s societal implications F, E, SEngagement active Student involvement in learning F, E, S learningEthical Ability to identify ethical issues and decide on ethical actions F, E, S developmentRelatedness Feeling of belonging and support in the learning setting F, ESystems thinking Ability to see connections and see the whole instead
first-year students programmingcurriculum. The Arduino Uno was the chosen microcontroller since the platform is excellent forteaching basic circuitry and programming, such as having easily accessible digital and analoginput/output ports.ENGR 111 uses a scaffolded set of lessons to introduce circuitry, programming an Arduino, andinterfacing between an Arduino and circuits. These lessons start with basic circuits usingbreadboards, basic components, and wires. Programming the Arduino is the next set of lessons,and these lessons focus on basic programming concepts and how to interact with the Arduino.Finally, there is a series of lessons that help the students create circuit(s) and program(s) thatinteract with each other.Although the ENGR 111
willobserve and complement that material with a twenty-minute presentation that relates the focalconcept to an industry problem and application. In parallel, the project team and industrymentors will work on up-to-date application-based problems/projects to be implemented in thecourse instructor's homework and assignment(s). The project team will also work with safetyprofessionals to blend essential topics like process safety, risk management, and environmentalimpact into the targeted course.Figure 1. Schematic of constituent relations of different approaches. Interpersonal andintrapersonal skills are labeled as professional skills.We hypothesize that the “Synergistic Approach” will engage students in a new and compellingmanner, introducing them to
, January 2018. “Women and Men in STEM Often at Odds OverWorkplace Equity”[5] Vygotsky, L.S. (1978). Mind in society: The development of higher psychological processes.Cambridge, MA: Harvard University Press.[6] Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Journal ofChild Psychology and Psychiatry, 17(2), 89-100.[7] Collins, A., Brown, J.S., & Newman, S.E. (1989). Cognitive apprenticeship: Teaching thecrafts of reading, writing, and mathematics. In L. B. Resnick (Ed.) Knowing, learning, andinstruction: Essays in honor of Robert Glaser (pp. 453-494). Hillsdale, NJ: Lawrence ErlbaumAssociates.[8] Russell, S. H. (2006). Evaluation of NSF support for undergraduate research opportunities:Follow-up survey
, 1984.[5] G. Hackett, "Role of mathematics self-efficacy in the choice of math-related majors of college women and men: A path analysis," Journal of counseling psychology, vol. 32, no. 1, p. 47, 1985.[6] R. W. Lent, S. D. Brown, and K. C. Larkin, "Relation of self-efficacy expectations to academic achievement and persistence," Journal of counseling psychology, vol. 31, no. 3, p. 356, 1984.[7] K. D. Multon, S. D. Brown, and R. W. Lent, "Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation," Journal of counseling psychology, vol. 38, no. 1, p. 30, 1991.[8] F. Pajares and M. D. Miller, "Role of self-efficacy and self-concept beliefs in mathematical problem