-Middle and High School Students [5]will assess students’ attitudes about STEM-related academic course work, STEM-related careers,personal interests and professional contacts, growth mindset and self-efficacy. The survey is partof a set of STEM outreach measurement resources available for educational purposes from TheFriday Institute for Educational Innovation at North Carolina State University College ofEducation.The items assessing attitudes about STEM-related academic courses ask students to rateagreement, using a 5-point Likert scale, with statements related to math courses (3 items), andscience courses (3 items). Students are also asked to indicate agreement with statements assessinginterest in activities related to engineering and
StudentsAbstractFirst-year engineering students at Loyola Marymount University (LMU), a primarily liberal artsprivate undergraduate institution, can participate in service-learning projects through anengineering living-learning community. In addition, service-learning projects were recentlyoffered at LMU for first-year engineering students not participating in this living-learningcommunity. The impact of service-learning on students’ engineering design self-efficacy andengineering learning outcomes were assessed. An instrument was adapted from a combination ofpreviously validated instruments that measure engineering design self-efficacy and interventionalimpacts on technical and professional engineering learning outcomes. The instrument alsoincludes a
Appendix A.2.Innovation Self-Efficacy (ISE.5) – This self-efficacy construct involves specific behaviors thatcharacterize innovative people and is designed to measure a students’ confidence in his/herability to innovate. The included items are adapted from Dyer, Gregersen, and Christensen(2008). The original Dyer items were piloted and factor-analyzed as part of the EMS surveydevelopment process. The emergent five factors corresponded to Dyer’s innovative behaviordomains of questioning, observing, experimenting, and idea networking, as well as the relateddomain of associative thinking. These items each have a Likert scale of (0-4), have an acceptableCronbach 𝛼 (.78), and have been averaged to form the ISE.5 construct variable (Schar,Gilmartin
to take ‘gatekeeper’ courses such as Pre-Calculus and Calculus (NCES, 2016).Purpose StatementAlthough, only in the preliminary stages of data collection, the primary goal of this work is toaddress the challenge of broadening participation in STEM, particularly among UR boys bybuilding on a pilot afterschool STEM program for UR boys. Specifically, this project proposesthe STEM Engagement through Mentoring (SEM) model as a way to address the followingquestions:1) In what ways do fathers/mentors motivate students to become aware of, interested in, and prepared for STEM careers?2) To what extent does involvement in SEM shape the students’ STEM identity?3) What impact does working with the SEM program have on the self-efficacy of pre-service
,understanding engineering, self-efficacy, and hands-on activities/structure and virtual format. Toincrease validity in the coding, multiple researcher triangulation was conducted. The statementsset forth in Table 1 below are representative responses of students to each of the emergingthemes. Representation "I enjoyed hearing about different engineers and black and women excellence.” “It was an amazing experience to meet so many women from all different backgrounds who are so successful.” “I really liked when the women from [manufacturing company] came and spoke to us about what they did. And, when the women came and spoke her computer science journey.” “My favorite part was hearing from the speakers and their wisdom. It opened job opportunities that I
them. Insome instances, the lack of engagement might be because students are not aware of the HIEP theycan participate in during their program. Acknowledgments This material is based upon work supported by the National Science Foundation underGrant No. 1927218. Any opinion, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.REFERENCES[1] Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.[2] French, B. F., Immekus, J. C., & Oakes, W. C. (2005). An Examination of Indicators of Engineering
primarily designed and implemented byMerrimack College’s STEM Education majors – college students studying to be STEM teachersat the elementary and middle school level. The engineering students therefore support the STEMEducation majors and the local youth.Through participation in this program, engineering majors practice their technical skills, discoverthat they HAVE technical skills, and practice their communication skills at the same time -developing higher self-efficacy and seeing the community’s need for the skills they already have.Meanwhile, middle school students are mentored by college students, gaining insight into what itwill take to be on that path, and being inspired to take up a career in STEM. Finally, STEMEducation majors provide
shared understanding by organizational members regarding organizationalgoals, values, and general structures and procedures. When members are acculturated, theyusually have accepted the general goals and values of the organization, and are willing tointegrate into the culture. Familiarity with other individuals from the organization (i.e., get toknow the colleagues and establish relationships with members) can foster relationships (in bothmicro and macro-levels) bond individuals to their organizations, and become a way to increaseperceptions of self-efficacy and commitment toward the organization (Cheney et al, 2014).Recognition from others (i.e., perceiving one’s value to the organization and feeling recognized)can also link to job satisfaction
-value theory to explain persistence. Eccles’ theory factors in genderand ethnic differences in STEM participation (Eccles, 2005). They hypothesized thateducational, vocational, and avocational choices would be most directly related to person’sexpectations for success and the value they attach to the available options. Simply put, theEccles’ theory suggests that choices to engage in activities are shaped by competence and valuebeliefs. Competence is about acquiring skills and applying them. Competence beliefs have beenstudied more widely than value beliefs among K-12 and engineering students. They are mostlybased on the self-efficacy theory (Bandura, 1997). Self-efficacy is enhanced by positivefeedback, better performance, and social comparisons
is Power Award” [3].Post-event media coverage and following through with opportunities are the primary wayshackathons can create material benefits towards these issues and for participants [3]. Therefore,eliminating single winners can reduce solutionist mindsets and increase self-efficacy for moreparticipants, ideally increasing access to resources to those who may also be impactedstakeholders. Experiential prizes over monetary ones sponsored by corporations, nonprofits, andfoundations can also help further dialogue and offer opportunities such as presenting at aconference that may be inaccessible otherwise [3]. With increased awareness on the topic oftenbeing a large takeaway, it is crucial for hosting institutions with more influence to
]. Stout etal. found that by exposing girls to female experts in STEM, they were able to foster strongeridentification with STEM, more self-efficacy, and increased effort on STEM tests. They foundthat even if negative stereotypes remained in girls’ minds with respect to gender and STEM, thattheir own self perception benefited from contact with female experts in STEM [6]. Interventionsto increase interest, expectations, performance and self-esteem in STEM in young girls havebeen shown to be effective.How can Girl Scouts help close the gender gap? Royse found that the Girl Scouts curriculum hasa significantly positive impact on the self-esteem of adolescents [7]. From a report entitled“How Girl Scout STEM Programs Benefit Girls” published in 2016 by
of social responsibility. Resultsshowed that, irrespective of the weighting system, volunteerism had poor to moderate correlationwith social responsibility attitudes. Looking specifically at the eight dimensions of the PSRDM,the strongest correlations existed between volunteerism and how engineering students weightedthe costs and benefits of volunteering and how they saw their professional obligation to helpothers as engineers or through their profession; though these had only weak correlations (0.3).BackgroundEngaging in volunteer activities has been shown to be very beneficial to students, not only intheir development of personal values and self-efficacy, but also having positive effects onacademic performance measures1. When tied to
difficulties can consist of negative beliefs or thoughts that may“decrease the individual’s self-esteem and perceived self-efficacy, [and thus] …decrease theindividual’s confidence in his or her ability to make decisions” (Kleiman, 2004). Gati (1996)developed a taxonomy of career decision-making difficulties to explain possible sources ofvocational indecision. Examples of difficulties include lack of information about occupations,lack of information about oneself, internal conflicts, external conflicts, and dysfunctional beliefs,such as irrational expectations about the career-decision making process itself.Dysfunctional career thinking appears to have a large impact on STEM career choice in females.In a meta-analysis of literature exploring the
, 2021 Community Designers: A Pilot Virtual Community Co-Design Symposium1. Introduction: Who Controls the Power of Design?What if you did not get to select your clothes? What if, instead, certain sizes, colors and styleswere assigned to you based on what’s typical for your demographic identities? Not only wouldyour clothes not fit your shape or your taste, they might even cause further social andprofessional problems. At an even deeper level, not having the autonomy to make thesedecisions would undermine your self-efficacy and your trust in the institutions that are supposedto help and support you.This scenario illustrates, by analogy, what happens to communities all the time. Policies