undergraduate degree. As shebegan to integrate more fully into campus life and the engineering center, she realized that herhome life, in which she was raised with a single, feminist mother who was the provider in thefamily, contrasted with the patriarchal nature of the atmosphere at the university. This caused herto experience cultural shock and felt pressured as a woman to suppress parts of herself inengineering spaces. Reflecting on this pattern prompted her desire to push for change to improvethe experiences of underrepresented student groups in engineering. She identifies as an ally forLGBTQ+ people, and the lack of emphasis on LGBTQ+ students in the STEM research literaturetroubled her and motivated her to take part in this research.Bailey Bond
(54.9%) opted to respond to the Compassion toOthers sub-scale. 38 shared their demographic information. Of these, 58% self-identified asmales, 37% as females, 2% as non-binary, and 3% preferred not to say. The participants wereundergraduate students (n=21) and graduate students (n=17), mainly from the U.S. (n=25).Engagement with others' distressThe responses suggest that the participants self-identify as individuals who are sensitive todistress and motivated to help those experiencing distress. This includes accepting andresponding empathetically to others' distress and being motivated to continue the relationshipwith them (Figure 5).Figure 5. Results pertaining to the Compassion to Others subscale - Engagement I reflect on and
, contextual, and perception-based phenomena of interest, asemi-structured approach was used when collecting data [51]. Focus groups consisted of four tofive participants, lasted about one hour, and were conducted at the end of each semester. Thefirst author led all focus groups, with the second or last author as a secondary interviewer andnotetaker. At the end of each focus group, the first author compiled these notes, information onhow the focus group went, and initial impressions of the data into summarized memos.Guiding questions prompted participants to reflect on their interest in their current majors andminors (if applicable) as well as how this interest has changed since the previous focus group.The guiding questions targeting interest were
wasrepresentative of the cohort and that the outcomes can be treated as an accurate reflection ofthe participants’ opinions. Confidence intervals for the surveys were all lower than 3.5% at a95% level of confidence.In each year, the pre-participation response sets facilitate “a consideration of the knowledgebase of the CC transfer students in the summer bridge program as the students were asked torate their level of experience” [22] with as many as 27 different topics. “A ten-point scale wasused and informants were instructed to submit a rating of zero for ‘no experience/ability’ and arating of ten for being ‘well informed/very capable’ in the area” [22]. “The responses facilitateda rank ordering of ratings by topic, with the highest mean as the primary
studyattitudes for face-to-face classes, but it appears that our model is at least somewhat effective atengaging groups of minority students who, according to literature, may not prefer peer activities.VI. AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.(2122442). 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.VII. References[1] A. P. Carnevale and N. Smith, ‘Working Learners-The New Normal’, 2018. [Online]. Available: http://proquest.umi.com/pqdlink?did=842878281&Fmt=7&clientId=10461&RQT=309& VName=PQD[2] D. A. Santiago
literature, while table 2 has three based on the foundational knowledge anddistinctions discussed between self-concept and self-efficacy. This re-classification focuses onthe variables that are task-specific in regard to the assessment of outcomes essentially. Forinstance, academic self-description was used to measure self-efficacy in the paper it was pickedup from [20]. However, because Marsh [43] used academic self-description questionnaire toassess self-concept, it was adapted and reflected in this review. It was an added advantage thatMarsh [43] had used the academic self-description questionnaire to assess self-concept in theoriginal paper.Table 2: Re-classification of variables as pertaining to either academic or non-academicself-concept, or
share remain, while a group of teams repeat [7] through all presentations. This is presentations their presentations as they rotate repeated for another group of through breakout rooms. presentations until all teams have presented to every team. Self-reflection to a prompt (1 min.), Breakout rooms for each grouping paired discussion (2 min.), group 1-2-4-all and PollEv to help
Chapter 7 (Collaborate) Students draw “core valuealigning core values with Chapter 8 (Align actions with trees” to identify and reflect onactions; key-takeaways from Goals and Values) their core values and align withthe workshop series actions (adaptation of B.Carr’s “Live your Core Values” exercise [25]). The workshop series concludes with a spontaneous talent show and
students from across campus build professional skills,gain experience in teaching and research, and develop relationships across disciplines and degreeprograms [12].Two of these cohort programs focus specifically on leadership development: the GraduateStudent Leadership Academy [13] is an eight-week exercise in self-reflection, skill development,and teamwork to solve problems and build community on campus. The Graduate LeadershipFellows program is a year-long experience that encourages “graduate student leaders to engagein change-oriented projects. Fellows aim to increase belonging and community within theircollege or specific populations of students, and their projects increase graduate student well-being, inclusion, and ultimately success” [14
of applications that were introduced in the workshop.Upon completion of the workshop, the participants were given an eight-question exit post-trainingsurvey shown in Figure 2. There were six quantitative questions using a five point or a three-pointLikert scale as well as two qualitative questions. The two qualitative questions were also used aspedagogical tools based on experiential learning best practices. Question 7’s goal was to elicit apositive self-reflection while Question 8 reinforced learning through internalization andsummarization. 1. Exiting this workshop, I learned something new about AI concepts, applications, and ethics (1 - strongly disagree to 5 - strongly agree). 2. I have a better understanding of AI and how to
region and beyond. Many of our citizens, however, AfricanAmericans in particular, were left behind as de jure segregation prevented African Americansfrom enrolling into ETSU. Only court orders, especially Brown v. Board of Education, finallyopened the door to integration. African American faculty did not exist on the campus prior to themid-to-late 1970s. And the institution struggled to hire and retain faculty into the 1990s. ETSU,by the end of the 20th century, increasingly reflected a world that was rapidly changing. Thoseadvancements began with racial diversity but increasingly included gender diversity, sexualdiversity, differing abilities, religious diversity, and ethnic diversity. ETSU is more diverse todaythan at any other time in its
Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] D. Verdin, A. Godwin, A. Kirn, L. Benson, and G. Potvin, “Understanding How Engineering Identity and Belongingness Predict Grit for First-Generation College Students,” Collaborative Network for Engineering and Computing Diversity (CoNECD) Conference, Crystal City, VA, 2018. Available: https://docs.lib.purdue.edu/enegs/75[2] H.B. Carlone and A. Johnson, “Understanding the science experiences of successful women of color: Science identity as an analytic lens,” Journal of Research in Science Teaching
– including programs for the future engineering professoriate, and leveraging institutional data to support reflective teaching practices. She has degrees in Electrical Engineering (B.S., M.Eng.) from the Ateneo de Davao University in Davao City, Philippines, where she previously held appointments as Assistant Professor and Department Chair for Electrical Engineering. She also previously served as Director for Communications and International Engagement at the Department of Engineering Education at Virginia Tech, Lecturer at the Department of Engineering Education at The Ohio State University, and Assistant Professor at the Department of Inte- grated Engineering at Minnesota State University, Mankato. She holds a Ph.D. in
/sgd0000603L.K. Fung, T.L. Ulrich, K.T. Fujimoto, and M. Taheri, “Neurodiversity: An invisible strength,” JOM, vol. 74, No. 9, pp. 3200-3202, 2022. https://doi.org/10.1007/s11837-022-05454-2P. Houdek, “Neurodiversity in (Not Only) public organizations: An untapped opportunity?” Adm. Soc., vol. 54, no. 9, pp. 1848-1871, 2022.P. Jaarsma, S. Welin, “Autism as a Natural Human Variation: Reflections on the Claims of the Neurodiversity Movement,” Health Care Anal., 20, pp. 20–30, 2012. https://doi.org/10.1007/s10728-011-0169-9A. Kirby and T. Smith, “Neurodiversity at work: Drive innovation, performance and productivity with a neurodiverse workforce,” Pers. Psychol., 2021. https://doi.org/10.1111/peps.12566B. X. Lin-Siegler, C. S
% of the variance in performance. The greatest weight inexplaining performance is given by academic self-efficacy, thus the perceived confidence inthe ability to learn, demonstrate, and apply course content should be strengthened. The results lead to reflect that the academic environment should promote activities thatcan strengthen students' self-efficacy so that they can confidently enjoy the course and, thus,succeed in school and professionally. Important limitations of the study are highlighted, the main one being the sample, whichcame from a single institution and was not very diverse in terms of where the students camefrom age and engineering course. The specificity of the instrument used in the research. Thefive dimensions
organizations. However,participation in the STEM workforce still does not reflect population demographics.The research literature provides an evidence-base that early STEM experiences canimpact K-12 students intention to enroll in STEM degree programs. Over the last twodecades pre-college engineering programs and pathways have been developed toprepare K-12 students for engineering degree programs at the post-secondary level. Asecondary goal of these pathways was to broaden interest in engineering professionsand diversify the engineering pipeline. Pre-college programs that provide a positiveSTEM experience may increase the pipeline and diversity of students interested inpursuing STEM at the postsecondary level. The Project Lead the Way Program(PLTW) is
. Although data was reviewed from theU.S. Department of Education’s National Center for Education Statistics (NCES) IntegratedPostsecondary Education Data System (IPEDS) databases in addition to data provided by thesubject schools, the data analyzed for this study did not include enrollment or retention ratesbecause the schools did not report or publish those rates specifically for their constructionmanagement programs. Exploration of the existence of a relationship between minority enrollmentand minority graduation rates could prove useful as it is unknown if the number of minoritygraduates reflects low participation or low completion in the subject programs.The Louisiana Workforce Commission estimates that the need for construction managers
chapters one, two, four, five, seven, and ten. Final course grades were based on threecomponents: completing (1) course readings and reflection exercises; (2) in-classexercises/attendance; (3) a case-study assignment. The course was an elective but counted forcredit in international education. Student at Shandong University are required to take at least 2credits in international education to graduate.Out of a total of 70 students who ultimately enrolled in the course, 73 students completed thesurvey on the first day of class – students subsequently dropped the course – and 47 studentscompleted the survey on the last day of class. After excluding the responses of participants whodid not consent to have their responses used for research purposes, as
identify as female, and 8% of students identify as Black, African American,Hispanic, American Indian, Native Hawaiian, or Pacific Islander.Results & Discussion: A total of 18 groups of students participated in the escape room, of which 6 groups were ableto successfully escape. A 30% success rate suggests that the escape room activity provided achallenge for the students at an appropriate difficulty. This is also comparable to commercialescape rooms which have reported a similar success rate of 26% [3].Effect of experience on communication and collaboration: Students were asked to reflect and rate the effectiveness of their teamwork andcommunication. The responses in the survey were divided by students who reported succeedingin the escape
as the average of all items. Previous research efforts have shown that thismeasure of outcome expectations is directly related to social cognitive outcomes, includingpersistence intentions [36], [45]. Good internal reliability for the three items was obtained withCronbach’s 𝛼 = .90. Engineering Identity. The Identity as a Scientist instrument developed by Chemers andcolleagues (2010) was adopted and modified specifically for engineering to reflect a student’sself-identification as an engineer. Participants’ engineering identity was measured using three ofChemers and colleagues’ [46] original six identity items. Items were rated on a scale 7-pointLikert scale (1-strongly disagree to 7-strongly agree). Participants indicated their
by the National Science Foundation (NSF) underGrant No 1564768. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NSF.References[1] National Science Foundation, "Sophomore fast-forward: A summer bridge program to support retention in engineering," [Online]. Available: https://www.nsf.gov/awardsearch/showAward?AWDID = 1564768HistoricalAwards = false. [Accessed 10 5 2021].[2] K. Evans, M. K. Orr, D. E. Hall and M. Desselles, "S-STEM summer scholarship for a sophomore bridge: Year 1 in review," ASEE Annual Conference and Exposition, 2018.[3] K. Evans, M. Desselles and M. K. Orr, "Year 2 of an S-STEM Summer Scholarship for a
thatsocially categorizes individuals, recognizes biological differentiation, creates social and culturaldifferences in behaviours, mannerisms, trait characteristics, and so on [13], [14]. Members ofgender groups form a set of social norms for evaluating the grouped individuals andstandardizing a set of beliefs about them (i.e., gender stereotypes) [14]. Gender stereotypes notonly reflect the general expectations about group members (e.g., boys, girls, men, and women),but also influence who they should be, how they perceive differences among each other, and howthey should behave [15].The concept of gender identity varies throughout the literature (e.g., [10], [14], [16], [17], [18]),with some researchers arguing that it is a stable concept and others
components: socialand economic sustainability. As a result, the lack of social justice in infrastructure systemsunequally impacts various communities through a variety of processes, including eviction,exposure to environmental danger, and lack of access to essential services. While engineers andpoliticians base their choices on technical and engineering criteria, stakeholders' decisions—which reflect present economic and political frameworks—exacerbate social and racial inequities[8]. In order to solve these issues and build sustainable, resilient, and equitable infrastructures,project team members must be appropriately qualified with the required competencies. Thisstudy advises that all students in construction management (CM) including students
SHPE’s Virtual STEM Labs: Engaging and inspiring Hispanic youth to pursue STEM degrees and careers.Background/MotivationSolving the world’s most pressing and complex issues, including the recent pandemic, climateand environmental challenges, and sustainable economic development, is dependent on scientificinnovation. This need is reflected in Science, Technology, Engineering and Mathematics(STEM) occupation growth which has increased 79% since 1990 and is projected to grow by10.8 percent by 2031 [1]. To meet these labor market demands, the United States hasconsistently invested over $500 million dollars in STEM education specifically since 2019 withan emphasis on programs that increase participation of
]. Eudaimonic well-being refers to self-realization, choosing to engage inchallenging activities and continuously seeking opportunities for personal growth [5]. Thesethree forms of well-being have been shown to correlate highly with one another [8] and clusteronto a higher order latent construct. Based on the literature, this study considers the full extent ofwellbeing by creating a composite measure that consists of constructs such as satisfaction withlife, positive affect, and self-efficacy-resilience.PISA evaluation considers wellbeing as a multidimensional construct consisting of subjective aswell as material components that should reflect students’ lifestyle and quality of life [9]. Thisstudy specifically focuses on three main elements in PISA
assesses the five motivation constructs as averages and allowsus to examine the scores relative to one another. Generally, scores from 4.5-6 are consideredindicators of positive learning environments. The scale is most effective when comparing acrossthe same sample because individuals can have different perceptions of scale in the Likert-styleanswers. The overall results can be seen below in Figure 2 and reflect positive learningenvironments across all constructs.Figure 2. MUSIC Model Results for the SOAR Internship Program MUSIC Model of Motivation Empowerment Success Interest Usefulness Mentor Caring DOOR
reflect students’ lived experiences?RQ2: How can serious games like Next Stop provide an opportunity for students to experiencecomplex transportation engineering and urban design collaborative problem solving?RQ3: What is the role of playful experiences in engaging students into difficult conversationsabout complex engineering problems that affect their communities?We intend to conduct interviews with bilingual students about their experiences with the gameand how they identify as an engineer through self-efficacy STEM student measures [28]. Thesedata sources will help us explore the ways that games can shift students into the mindset of anengineer and how best to meet the educational materials needs of multilingual students. We willalso video
presents a reflective view of ten-years of performance in engineering at a singleinstitution. Although there are more than four thousand students represented in the dataset, itshould be noted that a single institution may limit the direct transfer of conclusions to otherinstitutions. Likewise, engineering is a unique test bed for this analysis due to the lack ofrepresentation of non-White and non-male students. This duality in minoritization can result inunique trends specific to engineering. However, the authors hypothesize that these data may betransferrable to other institutions and disciplines due to the nature of higher education andchallenges in the first-to-second year transition that are documented in literature [9], [10].Furthermore, the
more duct tape! Institutionalization of ADVANCE initiatives. American Society for Engineering Education Annual Conference Proceedings, Columbus, OH. https://peer.asee.org/28706[10] Padden, C., & Humphries, T. (1988). Deaf in America: Voices from a Culture. Harvard University Press.[11] National Association of the Deaf. (2019). Community and Culture – Frequently Asked Questions. https://www.nad.org/resources/american-sign-language/community-and-culture- frequently-asked-questions/[12] Najarian, C. G. (2008). Deaf Women: Educational Experiences and Self-Identity. Disability and Society 23(2), 117-128.[13] Burke, T. B., & Nicodemus, B. (2013). Coming Out of the Hard of Hearing Closet: Reflections on a Shared Journey