Research in 2006,” Des. Res. Q., Sep. 2006.[2] E. Sanders, “An Evolving Map of Design Practice and Design Research,” Interactions, pp. 13–17, Dec. 2008.[3] IDEO, The Field Guide to Human-Centered Design. 2015.[4] C. B. Zoltowski, W. C. Oakes, and M. E. Cardella, “Students’ ways of experiencing human-centered design,” J. Eng. Educ., vol. 101, no. 1, pp. 28–59, 2012.[5] I. Mohedas, S. Daly, and K. Sienko, “Design Ethnography in Capstone Design: Investigating Student Use and Perceptions,” Int. J. Eng. Educ., vol. 30, no. 4, pp. 888–900, 2014.[6] R. P. Loweth, S. R. Daly, J. Liu, and K. H. Sienko, “Assessing Needs in a Cross-Cultural Design Project: Student Perspectives and Challenges,” Int. J. Eng. Educ., vol. 36, no. 2, pp
Each CourseFaculty were divided into three math focus groups (leaving College Algebra for the end) wherethey specifically addressed main learning outcomes for the course, the core ideas upon whicheach course is grounded, and the supporting concepts that make up the core idea(s). Thisapproach builds upon a theoretical framework resulting from the work of numerous groups (i.e.,Mathematical Association of America - [MAA]) and individuals, such as Bransford et al., (2000)who, in his National Research Council commissioned book, How People Learn, providedrecommendations based on extensive work addressing learning and teaching in mathematics.Guiding their discussions were a series of questions such as (a) does the course outline reflect thedesired
manufacturing and assembly processes used inproduction to facilitate cost, productivity, and environmental performance assessment during earlyproduct design. In the Sustainable Product Architecture and Supplier Selection (S-PASS) module,relationships between sustainable design requirements and their associated functions andarchitectural modules can be identified and evaluated against existing products. S-PASS assistsdetermining whether the functions and requirements are satisfied in available product modules.Possible product architectures can be configured to create an initial product architecture set. Final1 DUE-1431481, DUE-1432774, and DUE-1431739product architecture candidates and their suppliers are selected by evaluating the
new team membershave been able to productively contribute.As with the design-based research approach, we will continue to iterate on our design, to bettertest ways to help team members value each other’s assets.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.EEC #1544233. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] S. Harvey, “A different perspective: The multiple effects of deep level diversity on group creativity,” J. Exp. Soc. Psychol., vol. 49, no. 5, pp. 822–832, 2013.[2] J. A. Mejia, A. Wilson-Lopez, C. E. Hailey, I
, J. (2015, June),Creating Inclusive Environments in First-year Engineering Classes to Support Student Retentionand Learning Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle,Washington. 10.18260/p.23757 https://peer.asee.org/23757[5] Brewer, M., & Sochacka, N., & Walther, J. (2015, June), Into the Pipeline: A FreshmanStudent's Experiences of Stories Told About Engineering Paper presented at 2015 ASEE AnnualConference & Exposition, Seattle, Washington. 10.18260/p.24355 https://peer.asee.org/24355[6] Walden, S. E., & Foor, C. E., & Pan, R., & Shehab, R. L., & Trytten, D. A. (2015, June),Leadership, Management, and Diversity: Missed Opportunities Within Student DesignCompetition Teams Paper
gender identity, race, national origin, ethnicity, religion, age, sexual orientation, disability, political affiliation, or family, marital, or economic status. a. Engineers shall conduct themselves in a manner in which all persons are treated with dignity, respect, and fairness. b. Engineers shall not engage in discrimination or harassment in connection with their professional activities. c. Engineers shall consider the diversity of the community, and shall endeavor in good faith to include diverse perspectives, in the planning and performance of their professional services [1].Prior to Canon 8's adoption
, and that this contributes to broader racial and gender inequalities in pay, prestige andpower. “[S]cience degrees and occupations are associated with greater prestige and rewards thanany other field of study. In a technologically advanced society, the status and power of those inscience makes them the new elite” [29, p. 113]. Therefore, it is imperative that science andengineering disciplines are equally accessible to all, regardless of race or gender. The politicalnature of social justice arguments makes them uncommon in a discipline that prefers to maintainits objectivity [30]. However, the “equality case” for diversity is the only argument that takesinto account pre-existing power structures that reproduce racial and gender inequalities
learning [2-6]. Failure to createan inclusive environment for minority students affects both minority and majority students, andthere is compelling evidence that diversity among students and faculty is crucially important tothe intellectual and social development of all students [7-9]. The benefits of diversity extendwell beyond the university years: research suggests that improving diversity in a workforce canhave positive effects on innovation and productivity [10]. Given the need to increase our STEMworkforce to remain competitive in a global economy, efforts must be made to attract and retaintalented individuals to STEM disciplines and professions. To this end, increasing diversity inScience and Engineering (S&E) has become a national
. Methods Student(s) Clicker ABCD Internet / Proposed raise voting App based method: LaserPerformance Criteria hand(s) cards pointersEasy and quick hardware/ x x xsoftware set-upLow cost of setup and use x x xLow usage burden for x x xstudentsLow/no learning curve for x x xadoption by facultyZero potential for technical x
, underrepresented minoritiescomprised 33.2 % of the U.S. college age population, 26.2 % of undergraduate enrollment, and17.7 % of those earning science and engineering (S&E) bachelor’s degrees. In graduate school,underrepresented minorities comprise 17.7 percent of overall enrollment but are awarded just14.6 % of S&E master’s and 5.4 % of S&E doctorate degrees, with a progressive loss ofrepresentation as one proceeds up the academic ladder [5].Researchers offer many explanations for the persistent achievement gaps while recognizing thatthere are many interrelated factors. They agree that family and community differences, schoolcontext, low expectations, and lack of exposure to role models, information about careeropportunities, and advanced
outcome; (c) We tested and evaluated the possibility of hardware and software secure system co- design teaching and research integration; (d) Using the experience gained, lessons learnt for developing a respective multi-disciplinary laboratory for both research and teaching of hardware/software security (this is partly done and will be a future-work as step-forward for hands-on experiments); and (e) Inter- and intra-university research collaborations were initiated and will be pursued to ensure delivering an expanded set of outcomes for the integration.References[1] S. Ravi, P. C. Kocher, R. B. Lee, G. McGraw, and A. Raghunathan, “Security as a new dimension in embeddedsystem design,” in Proc. Design Automation
* Pacific Islander Test Anxiety 0.013 0.005 0.008 ** Engineering GPA Female or Gender Non- 0.007 0.003 0.036 * Binary Native Hawaiian or Other 0.055 0.029 0.057 n/s Pacific Islander Mathematics GPA 0.149 0.049 0.002 ** Test Anxiety 0.010 0.004 0.017 * Mathematics GPA Female or Gender Non- 0.047 0.016 0.004 ** Binary Native Hawaiian or Other 0.368 0.142 0.009 ** Pacific Islander Test Anxiety 0.065 0.016
. Becerra-Cid, M. Quezada-Espinoza, M. E. Truyol. (2023). Belongingness of Chilean Engineering Students: A Gender Perspective Approach. 2023 ASEE Annual Conference & Exposition, 37306. https://orcid.org/0000-0002-0383- 0179[2] S. Cwik y C. Singh. “Students’ sense of belonging in introductory physics course for bioscience majors predicts their grade.” Phys. Rev. Phys. Educ. Res. vol. 18. n.o 1. p. 010139. May 2022. doi: 10.1103/PhysRevPhysEducRes.18.010139. Available in: https://link.aps.org/doi/10.1103/PhysRevPhysEducRes.18.010139.[3] L. Ainscough, E. Foulis, K. Colthorpe, K. Zimbardi, M. Robertson-Dean, P. Chunduri, and L. Lluka. “Changes in Biology Self-Efficacy during a First-Year University
her research, she navigates the complexity of introducing innovative, sustainable STEM practices within varied, particularly rural and Indigenous, educational contexts. Her research interest spans elementary computer science and engineering education, integrated STEM education, and sustainability of teacher PL outcomes.Dr. Nicholas Lux Lux, Montana State University Dr. Nicholas Lux has is an Associate Professor of Curriculum and Instruction in MSUˆa C™s Department ˆ He has of Education. His teaching and research interests are in the area of educational technology.A worked in the fields of K-12 and higher education forPaul
thetranscription were removed and replaced with S17 and S34 where the S indicates the participantis a student and the numbers correspond to the survey results.Each author then thoroughly read the transcription and wrote a summary of the interviewsincluding highlights or any notes relevant to the primary research questions. Prior to the thematicanalysis, the authors reviewed the codebook which was built from the open-ended responses inthe survey. The authors then, individually, completed coding of one of the transcripts. Duringthematic analysis, the authors also allowed codes to emerge from the interviews. Following thefirst pass, the authors met together to discuss themes and find agreement among codes. Newcodes were added to the existing codebook and two
researchW Eads 12D Fernandez 12I have reviewed and approve this memo:Walker Eads______________________________________________David Fernandez_________________________________________SupervisorRecommendations/Notes:Supervisor's Signature:ReferencesAdebisi, Y. A. (2022). Undergraduate students' involvement in research: Values, benefits, barriers and recommendations. Annals of Medicin and Surgery.Altman, J. D., Chiang, T.-M., Hamann, C. S., Makhluf, H., Peterson, V., & Orel, S. E. (2019). Undergraduate Research: A Road Map for Meeting Future Needs and Competing in a World of Change. Washington D.C.: Council on Undergraduate Research.Bamber, J., & Tett, L. (2010). Transforming the Learning
Republic). 8Participants primarily described the technical or disciplinary skills and knowledge they appliedto developing and implementing the project when asked “What contribution(s) did you make tothe MOM program?” These skills included clinical skills, public speaking, data collection andanalysis, language translation, and lesson planning and delivery. The skills highlighted variedbased on the program and its individual goals.Conclusions & RecommendationsThis study reflected the effectiveness of the MOM program at Mercer University on theconstructs of program preparedness, global competency, and knowledge transfer. This evaluationwas done through pre- and post-program surveys completed by
experience. These are situations in which the designer(s) are most likely not to reflect anunderstanding or shared identity of end users’ needs and conditions. While the field ofengineering is diversifying, in the United States, nearly three-quarters of engineering positionsare still held by men, two-thirds of whom identify as white [12]. Until there is greaterrepresentation in the sciences and engineering fields, new pedagogical approaches are required toensure that engineering designs are inclusive and appropriate for the sociocultural contexts intowhich they are implemented.Many institutions develop DEI education as a separate, focused course to assist engineers inunderstanding place-based context. Social science courses may go some way in
the communication divide and respond accordingly. Upon completionof the module, students completed a case study and were required to analyze the intent andimpact of the conversation between the two characters in the case and propose strategies toovercome the situation. The goal of this module was to help students develop knowledge ofverbal and non-verbal communication styles, worldview, openness, and curiosity. Moreover, thePIM on tricky communication [19] was prefaced with a TedTalk presented by Julien S. Bourrelleabout learning new cultures and what that could entail. An additional reading on the differencesbetween the intent and impact of communication was also supplied. The goal of the TedTalk andreading was to foster worldview, openness
engineering laboratory courses and asked the respondents to answer survey itemsrelated to five research questions: 1. What are the three most important learning outcomes for a laboratory-intensive chemical engineering course? [Open-ended Response] 2. How important are the following learning outcomes for a laboratory-intensive chemical engineering course? [Likert scale for level of importance and Top 5 of importance ranking] 3. What gaps exist in the thirteen learning outcomes identified by Feisel and Rosa? [Open- ended Response] 4. Which learning outcome(s) do you feel you have the most trouble with / are weakest in? [Select 3] 5. Which learning outcome(s) do you feel your overall chemical engineering
] Van Veelen, R., Derks, B., & Endedijk, M. D. (2019). Double trouble: How beingoutnumbered and negatively stereotyped threatens career outcomes of women inSTEM. Frontiers in Psychology, 10, 150.[6] Statistics Netherlands (2016). De Arbeidsmarkt in Cijfers 2016. Available at:https://www.cbs.nl/-/media/_pdf/2017/19/de-arbeidsmarkt-in-cijfers2016.pdf[7] Stoeger, H., Duan, X., Schirner, S., Greindl, T., & Ziegler, A. (2013). The effectivenessof a one-year online mentoring program for girls in STEM. Harvard Kennedy SchoolGender Action Portal.[8] Kupersmidt, J., Stelter, R., Garringer, M., & Bourgoin, J. (2018). STEM Mentoring.Supplement to the "Elements of Effective Practice for Mentoring". MENTOR: TheNational Mentoring Partnership
also be explored.AcknowledgementsSupport for this work was provided by the National Science Foundation under Award No.2301341. 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. Research work was conducted under institutional IRB protocols, IRB#1965654. Theauthors would also like to thank Dr. Jenni Buckley for providing copies of her EngineeringStatics class notes for use in this work.References1. ABET, “Criteria for Accrediting Engineering Programs, 2020 – 2021 | ABET,” ABET, 2021. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering- programs-2020-2021
session lasted for more than an hour. Session 1’s duration was 86minutes, Session 2 lasted for 78 minutes, and Session 3 lasted for 74 minutes. A total of 238minutes (3 hours 180 minutes) worth of qualitative data was obtained. 3.4. Data AnalysisThe qualitative data was prepared, cleaned, and subjected to the MMCS analytical approachstarting with the thematical analysis [33]. The thematic analysis involved open coding,allowing for the initial identification and labeling of significant concepts within the data [34],[35], [36]. Subsequently, the generated codes were organized into meaningful categories,laying the foundation for the development of coherent themes that encapsulate the essence ofthe data. Next was to develop the teamwork or team
] S. Negash, “Business intelligence,” Communications of the association for information systems, vol. 13, no. 1, p. 15, 2004. [5] S. Siuly and Y. Zhang, “Medical big data: neurological diseases diagnosis through medical data analysis,” Data Science and Engineering, vol. 1, pp. 54–64, 2016. [6] D. A. Jenkins, M. Sperrin, G. P. Martin, and N. Peek, “Dynamic models to predict health outcomes: current status and methodological challenges,” Diagnostic and prognostic research, vol. 2, no. 1, pp. 1–9, 2018. [7] J. Chen, K. Li, H. Rong, K. Bilal, N. Yang, and K. Li, “A disease diagnosis and treatment recommendation system based on big data mining and cloud computing,” Information Sciences, vol. 435, pp. 124–149, 2018. [8] L. Sun, C. Liu
and undergraduates. Webrainstorm how engineering educators can build deeper understanding of these organizationalprocesses into everyday classes and programs. We consider the need for more research onworkplace practices that frame and stratify early-career engineers’ experiences, and moretranslation of those findings to day-to-day “toolkits” for new engineers.1. IntroductionEngineering students, especially those without internship, co-op, or industry job experience buteven those with that experience, may have limited knowledge about workplace procedureinvolving management, reporting, and advancement. Brunhaver et al.’s [1] findings suggest thatfew recent engineering graduates report having knowledge of organizational practices at thepoint of
) was used to measure ethnocentrism and the Miville-Guzman Universality-Diversity Scale – Short Form (M-GUDS-S) was used to measure three subscales: Diversity ofContact, Relativistic Appreciation, and Comfort with Differences (Miville et al., 1999; Fuertes etal., 2000). Both of these instruments use Likert scales, which introduces uncertainty in theintervals between scale points. The Likert scale data was treated as ordinal and a nonparametricMann-Whitney U-test was used to determine group differences based on Mean Rank. Data werematched for pre/post, resulting in 18 paired data sets (11 US students and 7 Central Asianstudents).Significant differences were identified between Mean Rank of students from the US universityand students from the
and by Spanish- and English-language preferences. Table 1shows the family composition and languages spoken by the ten families in each of the threerounds.Table 1Family Composition and Language Preferences for Each Round Family ID Language(s) Spoken Family Composition 1 Spanish and English Adult and child 5 Spanish and English Adult and three children 6 Spanish* Adult and three children** 7 Spanish and English Adult and two children 10 English Adult and child 11 English Adult and child 13 English
, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.REFERENCES[1] T. L. Cross, B. J. Bazron, K. W. Dennis, and M. R. Isaacs, “Towards a Culturally Competent System of Care: A Monograph on Effective Services for Minority Children Who Are Severely Emotionally Disturbed | Office of Justice Programs.”[2] A. N. Washington, “When Twice as Good Isn’t Enough: The Case for Cultural Competence in Computing,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, in SIGCSE ’20. New York, NY, USA: Association for Computing Machinery, Feb. 2020, pp. 213–219. doi: 10.1145/3328778.3366792.[3] “CRA Taulbee