NationalCenter for Education Statistics (NCES), many university students in the United States are non-traditional. Despite these challenges, non-traditional students excel because they understand thevalue of a college degree in today's job market, particularly for certain engineering disciplineswhere a degree is required. Hispanic/Latino(a) students are often non-traditional and face unique challenges andobstacles in their pursuit of their degree. Hispanics/Latino(a)s are more likely than otherdemographic groups to work while attending college [2]. The high rate of labor forceparticipation among Hispanic/Latino(a) students can be seen as an example of intersectionality[3], as it is influenced by multiple factors, including their race, ethnicity
on the increase of student involvement in the CUREprojects.ReferencesAmerican Society of Mechanical Engineers. (2012). ASME Code of Ethics.Anderson, L. W., & Krathwohl, D. (2001). A taxonomy for learning, teaching, and assessing : a revision of Bloom’s taxonomy of educational objectives.Ballen, C. J., Blum, J. E., Brownell, S., Hebert, S., Hewlett, J., Klein, J. R., McDonald, E. A., Monti, D. L., Nold, S. C., Slemmons, K. E., Soneral, P. A. G., & Cotner, S. (2017). A call to develop course-based undergraduate research experiences (CUREs) for Nonmajors courses. CBE Life Sciences Education, 16(2), 1–7. https://doi.org/10.1187/cbe.16-12-0352Caputo, D., & Dunning, D. (2005). What you don’t know: The role played by
1Exploring Systems Performance using Modeling and Simulation – Project-based Study and TeachingAbstractModeling and Simulation (M&S) provides a risk-free environment allowing the users toexperiment in a computer-generated virtual platform and analyze the what-if scenarios foreffective decision support systems. Due to its pervasive usefulness, the concept of M&S is widelyused across many sectors, including manufacturing, warehouse operations, supply chain, logistics,transportation, mining, and many more. The field of M&S requires computer-intensive andsoftware-based training, which is very different from teaching in a regular classroom setting.Hence, we develop a three-stage (mimic-guide-scaffold
Concepts and Selection (Individual Work) Week 12 - Risk and Critical Thinking (Individual Work) Weeks 13-15 Project Work (Group Work)Students were introduced to the Python language with an online tutorial guide supported by asimulator [16]. Given that the objective was not to teach a programming language, but to havethem deploy design functionality, they were allowed to access other resources and even usesource code from websites. They were given assignments for a number guess game to providethe concepts of loops and if statements. A following assignment had them write a program toflash the S-O-S pattern in Morse code on an LED. Surprisingly, many of the students providedunique and functional solutions, even though they were allowed to
methods in STEM education assessment topromote inclusivity, engage learners, and empower underrepresented and marginalizedcommunities. Such research can then inform future pedagogical practices, curriculum design,evaluation plans, and resource allocation to contribute to a more inclusive and diverse STEMlearning environment and resultantly, the future STEM workforce.ReferencesBattel, K., Foster, N., Barroso, L. V., Bhaduri, S., Mandala, K., & Erickson, L. (2021, October).“We Make the Village”-Inspiring STEM Among Young Girls and the Power of CreativeEngineering Education in Action. In 2021 IEEE Frontiers in Education Conference (FIE) (pp. 1-7). IEEE.Bevan, B. B., Barton, A. C., & Garibay, C. (2018). Why broaden perspectives on
shows three contexts that influence engineering instructors offundamental engineering courses (FECs) in using tests in their courses: 1) autonomy, 2) coursecontext, and 3) inertia. These contexts are largely consistent with the literature, but also revealsome research gaps that the engineering education community should think about addressing toimprove our education processes. In addition, the community can use our findings to raisequestions about test usage, introducing intentionality with test usage in engineering classrooms.ReferencesAbadi, M. G., Hurwitz, D. S., & Brown, S. (2017). Influence of context on item-specific self- efficacy and competence of engineering students. International Journal of Engineering Education, 33(4
Notes in Computer Science, no. 12225. Springer, 2020, pp. 3–14. [4] L. D’Antoni, D. Kini, R. Alur, S. Gulwani, M. Viswanathan, and B. Hartmann, “How can automatic feedback help students construct automata?” ACM Trans. Comput.-Hum. Interact., vol. 22, no. 2, pp. 9:1–9:24, 2015. [5] E. L. Deci, H. Eghrari, B. C. Patrick, and D. R. Leone, “Facilitating internalization: The self determination theory perspective,” Journal of Personality, vol. 62, pp. 119–142, 1994. [6] E. L. Deci and R. Ryan, “Self-determination theory,” in Handbook of Theories of Social Psychology, P. A. M. van Lange, A. W. Kruglanski, and E. T. Higgins, Eds. Sage Publications Ltd., 2012, vol. 1, ch. 20, pp. 416–436. [7] Y. Du, A. Luxton-Reilly, and P. Denny, “A
work is consideredrigorous engineering research? What work is considered to have the most value? What is valuedby the dominant cultural and political voices? This work-in-progress paper provides currentfindings as a brief narrative exploration of literature on engineering research culture, and theparadigm(s) that lead engineering research work that was guided by the following question: whatare the research and cultural paradigms that guide engineering research?As this question is ambiguous and broad, I would like to explicitly note that this paper does notreport on preliminary findings from the first stages of a scoping literature review, but it is anarrative literature review to lay a foundation for further exploration. This paper serves as
from a variety of sources such as faculty members, counseling centers, andindustry professionals could be beneficial. Furthermore, to create a curriculum that has asignificant impact with measurable outcomes on a particular subject, it is essential to determinethe most appropriate delivery method for the target audience.References[1] American College Health Association (ACHA), “NCHA- II_Fall_2017_Reference_Group_Executive_Summary.pdf.” Accessed: Nov. 13, 2022. [Online]. Available: https://www.acha.org/documents/ncha/NCHA[2] Lipson, S. K., Zhou, S., Abelson, S., Heinze, J., Jirsa, M., Morigney, J., ... & Eisenberg, D., “Trends in college student mental health and help-seeking by race/ethnicity: Findings from the national healthy
University (PSU) in 2010 and 2012, respectively. Dr. Ashour was the inaugural re- cipient of William and Wendy Korb Early Career Professorship in Industrial Engineering in 2016. Dr. Ashour’s research areas include data-driven decision-making, modeling and simulation, data analytics, immersive technologies, and process improvement. He contributed to research directed to improve design and engineering education.Dr. Daniel Knight, University of Colorado, Boulder Daniel W. Knight is the Program Assessment and Research Associate at Design Center (DC) Colorado in CUˆa C™s Department of Mechanical Engineering at the College of Engineering and Applied Science. He holds a B.A. in psychology from Louisiana State Universit
Center for Applied Special Technology),Universal Design for Learning (UDL,) which is described on the CAST website as “a frameworkto improve and optimize teaching and learning for all people based on scientific insights intohow humans learn,” is heavily addressed in the scholarly literature. See the CAST website athttps://udlguidelines.cast.org/ for the basic outline of this method of accessible instruction. Asearch of UDL will result in many books, articles [54], and videos about using UDL principles aswell as challenges and critiques of the method.5See S. Burgstahler’s article, “Equal Access: Universal Design for Instruction” for a descriptionof UDI, which is a modification of UDL. Available at https://www.washington.edu/doit/equal-access
to an over-representation of 104% (percent change) compared to anover-representation of whites by just 4.8% (percent change)” (p. 271). While this seems to be,and arguably is, problematic, as Pippert and colleagues point out, this could potentially be aresult of the aspirations of IHEs – by depicting greater diversity, more diverse students may wantto enroll, which will create more diverse campuses. To that notion, Gibbs [68] argues – and weagree – that “persuasive marketing” by IHEs is unethical, and that colleges should resistemploying such strategies.This concept of disingenuous marketing was reproduced in Henslee et al.’s 2017 mixed methodsstudy examining undergraduate, first-year student perceptions of the college viewbook at
skill [23], perspective orway of thinking [24], [25], or compilation of skills and attitudes [26], [27]. Kuratko, Fisher, andAudretsch’s [28] study from a business context describes EM as consisting of three aspects:cognitive, behavioral, and emotional, positing that without all three working together, anindividual’s EM has not reached its fullest potential.The KEEN 3Cs framework captures multiple elements of EM, including motivations, skills, andoutcomes. London et al.’s [12] study developed a conceptual framework for the 3Cs that includesboth mindset outcomes (attitudes) and behavioral outcomes (actions). For example, Curiosity isassociated with the mindset outcome “willingness to challenge accepted solutions” (p. 7), andthe behavioral
responsive teaching," Journal of teacher education, vol. 53, no. 2,pp. 106- 116, 2002.[02]R. T. White and R. F. Gunstone, "Metalearning and conceptual change," International Journal ofScience Education, vol. 11, no. 5, pp. 577-586, 1989.[03]D. Kuhn and S. Pearsall, "Developmental origins of scientific thinking," Journal of cognition andDevelopment, vol. 1, no. 1, pp. 113-129, 2000.[04]T. Litzinger, L. R. Lattuca, R. Hadgraft and W. Newstetter, "Engineering education and thedevelopment of expertise," Journal of Engineering Education, vol. 100, no. 1, pp. 123-150, 2011.[05]J. R. Frederiksen, M. Sipusic, M. Sherin and E. W. Wolfe, " Video portfolio assessment: Creating aframework for viewing the functions of teaching.," Educational Assessment, vol. 5
“effectivelydisrupt the systematic categorization of alternative neurological and cognitiveembodiment(s)”and “offers an emancipatory lens for representing and embodying neurologicaldifferences beyond traditional special education’s deficit-based discourses and practices.”C. INCLUDE ProjectThe INCLUDE project funded by the Revolutionizing Engineering Departments program of theNational Science Foundation has been established to transform department-wide practices andcreate an inclusive learning environment that empowers the diversity of learners present ininstitutions of higher education. This project aims to develop and refine a range of interventionstargeted towards multiple aspects of academic life, from recruitment to career development. TheINCLUDE team
Asian women in 2013, whereas approximately8% were Asian men [19]. Moreover, a recent report by the U. S. Bureau of Labor Statisticsindicated that the number of Asian women professionals were four times fewer than the numberof Asian men in the construction industry in 2022 [20]. Although the two industries are slightlydifferent, these statistics imply that Asian women's experiences cannot be understood simply asinheriting Asian’s privileges. Asian women face a number of challenges when completing their engineering programs.There are few female leaders in civil engineering [21] and even fewer Asian women leaders.Since there are so few Asian women leaders in civil engineering, it is difficult for prospectivecivil engineering students and
Council for Research on Women, 11 Hanover Square,20th Floor, New York, NY 10005.[3] Hill, C., Corbett, C., & St Rose, A. (2010). Why so few? Women in science, technology,engineering, and mathematics. American Association of University Women. 1111 SixteenthStreet NW, Washington, DC 20036.[4] Fouad, N. A., Hackett, G., Smith, P. L., Kantamneni, N., Fitzpatrick, M., Haag, S., &Spencer, D. (2010). Barriers and supports for continuing in mathematics and science: Gender andeducational level differences. Journal of Vocational Behavior, 77(3), 361-373.[5] Sullivan, A., & Bers, M. U. (2013). Gender differences in kindergarteners’ robotics andprogramming achievement. International journal of technology and design education, 23,691-702.[6
conceptualresearch, Strobel et al. [30] analyzed 1058 engineering education literature related to authenticity througha systematic literature review and proposed a four dimensions concept framework based on Brab et al.’s 3research work [31], which includes context authenticity, task authenticity, impact authenticity, as well aspersonal and value authenticity.Authentic learning has a long history in engineering fields like apprenticeship [28], in which the learnerscould finish some real-world tasks and solve ill-defined problems. The features of work-place engineeringproblems, such as ill-structured, complex, conflicting goals, multiple solution methods, beyond engineeringsuccess standards or constraints
accountability for watching the videos.In addition to watching the videos and completing the notetaker, students would also write-up thetwo or three homework problems from the previous lesson that were due at the start of class. Theproblems were typically graded by students in class.In-class activitiesIn general, the in-class activities were similar for all three instructors. The class started with abrief quiz over the material covered in the videos. For Instructors 1 and 3, the quiz was oftenstarted individually, but after about 5 minutes, students were allowed to work with the peoplearound them. Instructor 2’s quiz was delivered using the polling software and the questions wereall multiple choice.Following the quiz the instructors presented a very
identity aspiration were underlying processes driving theconditional effect. Following (Preacher and Hayes 2004)’s recommendations, we tested ourmodel using non-parametric percentile bootstrapping to create confidence intervals for eacheffect with the lavaan package (Rosseel 2012). As shown in Figure 1, the result revealed that entrepreneurial identity aspiration wasdriving the observed conditional effect of the video intervention on entrepreneurial intention.Consistent with the results from OLS regression, participants in the relatable role modelcondition have higher entrepreneurial identity aspirations than those in the unrelatable role modelcondition with a point estimate of 0.11 and the 95% confidence interval of (0.01, 0.21
Whiteness and Maleness Visible,” J. Eng. Educ., vol. 106, no. 4, pp. 531–533, 2017, doi: 10.1002/jee.20181.[2] A. L. Pawley, “Shift the default in ‘broadening participation’ in STEM equity research,” Int. J. Gend. Sci. Technol., vol. 11, no. 3, Art. no. 3, 2019.[3] S. Secules, “Putting Diversity in Perspective: A Critical Cultural Historical Context for Representation in Engineering,” presented at the 2017 ASEE Annual Conference & Exposition, Jun. 2017. Accessed: Mar. 01, 2022. [Online]. Available: https://peer.asee.org/putting-diversity-in-perspective-a-critical-cultural-historical-context- for-representation-in-engineering[4] S. Secules, “Making the Familiar Strange: An Ethnographic Scholarship of Integration
establish remarkable footprints and make an impact that matters. Simul- taneously, Daniel is the CEO of an EdTech start-up. Prior to joining FIU, Daniel had worked in Dubai for the ministry of Education as a STEM Educator and Lead Instructor. Previous work experience was in the United Kingdom (as an assistant Lead manager) and Nigeria. To date, he has co-authored 2 journal articles, authored 2 Physics textbooks, held many leadership roles and won several awards (one notable one is a World Bank award).Dr. Bruk T. Berhane, Florida International University Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s degree in
Sacramento State and by an NSF grant (DUE # 2235774).References [1] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning”, J. Eng. Educ., vol. 94, no. 1, pp. 103–120, Jan. 2005. [2] S. Rodenbusch, et al. “Early engagement in course-based research increases graduation rates and completion of science, engineering, and mathematics degrees,” CBE life sciences education, vol. 15, 2016, doi:10.1187/cbe.16-03-0117. [3] C. D. Wilson, J. A. Taylor, S. M. Kowalski, and J. Carlson, “The relative effects and equity of inquiry-based and commonplace science teaching on students’ knowledge, reasoning, and argumentation,” J. Res. Sci. Teach., 2009. [4] C. Katie, M. Blum Michelle, M. Julie, and S.-C. C
, alsohave the highest level of tentativeness in the LIWC analysis, suggesting that their leadership isexpressed in a way that invites others’ input. The GCA analysis (Fig. 4) is somewhat at variancewith the others, suggesting that S1 and S4 are the greater participators. The overallresponsiveness scores are very similar for all team members, but the social impact scorescorroborate the observation that S3 seems disempowered.Figure 3 - Scores for each member (S1-S4) of each team for each of the three LIWC constructs. Theresults for team F22 are skewed by S4’s very small number of utterances.Figure 4 - Scores for each member (S1-S4) of each team for each of the three GCA constructs. The resultsfor team F22 are skewed by S4’s very small number of
Hispanic Higher Education, 20(3), 297-312. 4. Prescott, A., Coupland, M., Angelini, M., & Schuck, S. (2020). Making School Maths Engaging: The Maths Inside Project. Springer. 5. Tobias, S. (1998). Anxiety and mathematics. Harvard Education Review, 50, 63–70. 6. Balfanz, R., & Byrnes, V. (2006). Closing the mathematics achievement gap in high- poverty middle schools. J. of Ed. for Students Placed at Risk, 11(2), 143-159. 7. Rowan‐Kenyon, H. T., Swan, A. K., & Creager, M. F. (2012). Social cognitive factors, support, and engagement: early adolescents’ math interests as precursors to choice of career. The Career Development Quarterly, 60(1), 2-15. 8. Bursal, M., & Paznokas, L. (2006). Mathematics
adjusted because the liftload cells counteract the moment created by the drag force due to how static mechanics work. Figure 4. Statics Diagram for Drag Moment AdjustmentUsing the statics illustrated in Figure 4, the adjustments for the lift force are [3]: 𝐹 , , =𝐹 , , −𝐹 ∗ (Eq. 1) 𝐹 , , =𝐹 , , +𝐹 ∗ (Eq. 2)Physical Models The test bed used is a Hampton H-6910 Wind tunnel with a test section of 23 in x 8 in x 8in. A cylinder of 1.6 in diameter was tested, as shown in Figure 5, to find the lift and drag forcesacting on a 3D-printed body. This was done with a flow velocity of 10.06 m/s, considering laminarflow conditions
without anyexternal disturbances, allowing them to take the test in a restful setting. All the sessions werevideo recorded with the consent of the participants.As each student completed the ping pong ball launcher design task, s/he was video recordedvia zoom. The recording of each participant was then analyzed using the following sequence: a) transcription – verbal protocol was transcribed from the video recording. b) segmentation – dividing the verbal textual data into units that could be coded using a pre-defined coding scheme [21]; c) coding – using the previously established coding scheme, a design step was chosen to describe each student’s “location” in the overall design process [22].Two coders coded each segment of the
dynamics in the construction sector. It is also vital toexplore how team performance and project outcomes are affected by the personalities ofindividuals and the entire team.References[1] M. S. Prewett, A. A. Walvoord, F. R. Stilson, M. E. Rossi, and M. T. Brannick, “The Team Personality-Team Performance Relationship Revisited: The Impact of Criterion Choice, Pattern of Workflow, and Method of Aggregation,” Human Performance, 22(4), 273–296, 2009.[2] E. Salas, E., D. L. Reyes, and A. L. Woods, “The Assessment of Team Performance: Observations and Needs,” Innovative Assessment of Collaboration, 21-36, 2017.[3] J. E. Mathieu, J. R. Hollenbeck, D. V. Knippenberg, and D. R. Ilgen, “A Century of Work Teams in the
Kristine Denman is the Director of the New Mexico Statistical Analysis Center. She has over 20 years of experience in both applied research and program evaluation, including multiple evaluation projects focused on STEM internship experiences. ©American Society for Engineering Education, 2023An Engineering/Computer Science Project with Community Service FocusAbstract:This conference paper informs about a S-STEM (Scholarships in STEM) project awarded to theUniversity of New Mexico (UNM) School of Engineering (SOE). This NSF project is focused onproviding scholarships to students with merit who also demonstrate financial need. Thisparticular NSF project was focused on professional development activities as well as
approach (Social Psychology Series). Boulder, CO: Westview Press, 1996.[6] M. H. Davis, "Measuring individual differences in empathy: Evidence for a multidimensional approach," Journal of Personality and Social Psychology, vol. 44, no. 1, pp. 113-126, 1983.[7] J. C. Oxley, The moral dimensions of empathy: Limits and applications in ethical theory and practice. New York, NY: Palgrave Macmillan, 2011.[8] S. Baron-Cohen, The science of evil: On empathy and the origins of cruelty. New York: Basic Books, 2011.[9] M. A. Clark, M. M. Robertson, and S. Young, "“I feel your pain”: A critical review of organizational research on empathy," Journal of Organizational Behavior, vol. 40, no. 2, pp. 166-192