importance of lessening thebarrier of location and socioeconomics is important to continue to provide equal opportunity inSTEM.Educational System:Informal learning environments serve as supplemental classrooms for students across the globe.The types of supplemental programs have a diversity in focus interest and demographics. Thecontent is generally more applied and practically focused. The types of program directlyinfluence interest in STEM careers and boost self-efficacy in STEM based content. [4]The classroom education system has a curriculum dictated by state and federal educationalstandards such as Common Core. This leaves less time and flexibility to teach subjects outside ofthe planned semester. While students learn STEM in the classroom
experimentation takes more time, and may be moreappropriate for IE courses that seek to develop students’ abilities as process designers, ratherthan managers and engineers who are knowledgeable about processes.Student LearningOur assessment plan calls for experimental studies that evaluate how both behavioral and contentoutcomes of student learning are affected by the new curriculum materials. Behavioral outcomesinclude increased self-efficacy, i.e. a personal judgment of one’s capability to perform aparticular activity. This is a particularly important affective measure for tasks perceived to bedifficult, because it is highly correlated with the amount of effort individuals are willing toexpend and their determination to complete tasks1,2. Self-efficacy
of Missouri. His main research interests are program evaluation and education policy. c American Society for Engineering Education, 2017 The Role of High School Math and Science Course Access in Student College Engineering Major Choice and Degree AttainmentI. IntroductionPrevious research has documented numerous factors that impede the progress of women andunderrepresented minorities in engineering fields, which can be broadly categorized into sixfactors: “classroom and academic climate, grades and conceptual understanding, self-efficacy andself-confidence, high school preparation, interest and career goals, and race and gender” (Geisingerand Raman, 2013). While high school
constructs that are prevalent in engineering education literature related to careerchoices --namely identity (Ross, Godwin, 2016) and self-efficacy (Hofacker, 2014, 2015)-- arethe topics shared among studies on industry and government. Academia Industry Government Mentoring Workplace Experiences Recruitment, Retention, & Representation Engineering Identity Career Self-Efficacy Career Development & Advancement Pay EquityTable 1. Topical Themes Among Workforce Studies There is last
continued to rise andmost first year engineering students were presenting SAT scores well above the nationalaverage, across gender and ethnicities. In addition, the college used validatedinstruments to assess psychological predisposition, which revealed that 95% of the 1styear students in this study consider themselves to be “gritty” and 86% reported verystrong self-efficacy (belief) in their ability and high school math preparation to studyengineering.However, in contradiction to their above average SAT scores, half of the first yearstudents entering Temple Engineering in Fall 2014 and Fall 2015 tested below Calculus I,only 33% had experienced a high school engineering course or activity, less than 33%had a family member in a STEM field, and only
first-time student retention at a public Midwest community college (Published doctoral dissertation)., Saint Louis University, USA., 2013.[14] P. K. Roberts, Perceived changes in career decidedness following completion of a for- credit career class (Published doctoral dissertation), University of Northern Colorado, USA, 2004.[15] R. Reese and C. Miller, "Effects of a university career development course on career decision-making self-efficacy," Journal of Career Assessment, vol. 14, no. 2, pp. 252-266, 2006.[16] A. Scott and K. CIani, "Effects of an undergraduate career class on men’s and women’s career decision-making self-efficacy and vocational identity," Journal of Career Development, vol. 34, no. 3, pp. 263
implementationEvaluation activities were designed for each of the three principal components of the project andthe retreat. • Scholars study groups: An online survey collected data on the senior and emerging leaders’ motivation for committing three years to the project and baseline data on their personal and professional goals and leadership self-efficacy. The groups met monthly for facilitated discussions and work on their projects, and each of the first two years of the grant ended with an appreciative inquiry session for each group. (Appreciative inquiry is an evaluation technique to gain insight into the strengths of a project directly from the people involved and have them identify ways to build on those strengths.5
experiences. In a 2001study, Besterfield-Sacre et al. found incoming male students rated themselves higher in terms of Page 23.924.2basic knowledge, problem-solving, and engineering abilities6, and a 2003 study by Bell et al.found that stereotype threat had negative consequences on test performance for womenengineering students7. Wolfe and Powell also found significant biases against feminine speechpatterns in design teams8. But in a 2005 study, Marra and Bogue report differences in self-efficacy between male and female engineering students only for math, where women reportedhigher scores9, confirming findings of other studies associated with self
utilization and application of their STEM knowledge. Networking with their peers - bothwithin their program and the national network - amplifies the experience and has the potential tocontribute to future career development. Participants, in the work itself, are given the opportunityto take ownership in the development of curriculum development and classroom management,building potential for self-efficacy development. Finally, the three interconnected strands holdmany connections to the Actua Future Skills Framework; “delivering results” requiresintellectual development, “working with others” draws from networking skills and institutionalknowledge; and future readiness draws from the three strands and makes connections to theparticipant’s future
benchmark tocompare the attitudes and self-efficacy of our students. Based on the assumption that studentswith high self-perception of capabilities display high motivation and attain high achievement, 16- 20 data are being collected from students of teachers in the STEM partnership grant and acomparable group of students. Some of the TIMSS self-efficacy questions (“I like Math, I amgood at math”, etc) have also been asked of students in the K-12 PBLP program for several yearsand preliminary data are available for the students who just completed the extracurricular VEXrobotics competition. Figure 3 illustrates the responses of our Partnership students incomparison with the 1999 national averages. 21 It is clear that the students who completed
Control refers to a participant’s perception that they have the ability toparticipate and succeed in entrepreneurship if they so choose, or their self-efficacy with regard toentrepreneurship (Carr & Sequeira, 2007). We measured Perceived Behavioral Control usingthree questions from Ajzen (2002) as cited in Solesvik (2013) (“If I wanted to, I could easilybecome an entrepreneur”, “As an entrepreneur I would have sufficient control over mybusiness”, “It is entirely up to me whether or not I become an entrepreneur”). Question “PBC3”from Solesvik (2013) was left out per Solesvik (2013). We believe that Perceived BehavioralControl is an important topic for research in this field, connected to self-efficacy, but it appearedthat many students
well as their beliefs about others’ behavior (i.e., do they believe that their friendsor family would seek help for themselves?). Finally, personal agency is a person’s evaluation ofwhether they will be able to seek help, given their beliefs about barriers and facilitators to seekinghelp and their self-efficacy beliefs (i.e., confidence in their ability to seek help). These sixcategories of beliefs are influenced by background variables such as demographic characteristics,culture, socioeconomic status, environment, and personality. A strength of the IBM is that it allowsfor identification of the beliefs that drive behavior. Identifying the specific beliefs that drive mentalhealth related help-seeking behavior in undergraduate engineering
disadvantage, the symbolic meanings entwined with disabilitystatus are often expressed and experiences as positive, self-efficacious senses of identity [18] andcan be the foundation of disability community subcultures (e.g., the ASL Deaf community’sconnections through shared linguistic and cultural similarities) that work to suppress deficit-based narratives and advocate for their inclusion in policy and social change conversations [13,18].This paper focuses on three potential domains of disadvantage experienced by engineeringstudents and engineering professionals with disabilities: social marginalization, professionaldevaluation, and persistence intentions. I discuss these in detail below. As much of the attentionon the experiences of engineers with
Many studies also note a lack of self-efficacy (self-confidence specific to thetasks of engineering) among students who leave.11,12 This low self-efficacy is often a poorrepresentation of real ability, as measured by objective evidence.13Much current effort is also dedicated to assessment of existing intervention programs. In order totranslate such work to new settings, it would first be necessary to identify how the students (andtheir reasons for persisting in or leaving engineering) are similar at different schools and indifferent types of programs (or engineering departments). This strategy requires having a way tomeasure both the characteristics that correlate with persistence as well as factors that areassociated with the context in which
maturity, self-reliance, social skills, and confidence in theirabilities to set goals and to achieve them. They generally have a well-developed sense of purpose, bothas to their career choice and their place in that career. Upon graduation they appreciate the advantagesthat their internship experience and learning has provided as they face their impending job demands. Theirself-confidence and demonstrable knowledge of the "real world" are significant benefits during jobinterviews, with those students who have interned usually gaining the preferred job offers.A particularly significant benefit from internship experience is the development of the student's sense of self-efficacy. Self-efficacy is defined as “people’s judgments of their capabilities
models and mentors who come from similarethnic backgrounds as the students [26] and who may have the potential to promote a sense ofengineering identity, defined as the interface between academic performance, institutionalconnectedness, gender role and mentors in engineering [27]. Ethnically matched mentors androle models have been promoted in an effort to facilitate students’ ability to envision themselvesoccupying these positions, instill a sense of academic self-efficacy [28] and enhance students’academic self-concept in mathematics and science [29].In recent years, there has been strong interest on the impact of personal improvement onperformance in a variety of domains ranging from growth mindsets to growth goals. Growthmindsets focus on an
and low-income students are least likely to matriculate withengineering degrees [3], suggesting these populations may demonstrate decreased self-efficacy.Self-efficacy beliefs are significant predictors of academic success, where STEM-specific self-efficacy beliefs relate to entry and retention in STEM majors [4]. Moreover, it has been foundthat women and minority students are less likely to report interest in STEM fields [4]. Thesefindings are important, because students who express measured interest in STEM are more likelyto major in science and engineering, and are more likely to persist in those majors [1]. The purpose of the current study is to examine the engineering interests held by a diversesample of high school students
, “An investigation of self‐efficacy crossover between mentorsand protégés within mentoring dyads,” Annals of the New York Academy of Sciences, 1483(1),80-97, 2021.[20] Anon. “2023-2023 Criteria for accrediting engineering programs,” ABET, 2021[21] L. Hubbard, P. Mente, and S. Blanchard, “Student internships: A rich source of data forassessment of program outcomes,” in 2004 ASEE Annual Conference. Salt Lake City, Utah,June 2004.[22] R. Guardiola, L. Hanneman, S. Mickelson, and T. Brumm, “Development of workplacecompetencies sufficient to measure ABET outcomes,” in 2001 ASEE Annual Conference.Albuquerque, New Mexico, June 2001.[23] K. L. Biasca and S. Hill, “Assessment of ABET student outcomes during industrialinternships,” in 2011 ASEE Annual
increases persistence in STEM fields, particularly among URM students[28]–[30], and increases students’ sense of self-efficacy [30]–[33], science identity [34],academic skills [32], and views of the nature of science [33], with distinct benefits forunderrepresented populations [31], [35], [36].These benefits are more substantial for research projects that last multiple years [37], which isfacilitated when students can engage in early research experiences. CUREs are common vehiclesfor introducing early stage students to research [37]. Because they are often highly structured –incorporating journal clubs, lectures, and group work – CUREs provide more support forstudents who have less experience and improved opportunities to develop conceptual skills
Page 25.886.2discovery based approach and a hands-on robotics program will improve students‟ STEMattitudes, math performance, and intentions to pursue STEM education and careers. The theoryof planned behavior5 was used to guide the measurement of students‟ STEM educationoutcomes.A Guided Discovery Approach to STEM EducationTraditional approaches to STEM education can result in disinterested students who may notpursue college-level STEM education and a competitive and hostile educational environment.6We propose that a guided discovery approach is more effective in engaging diverse students inlearning STEM concepts. This engagement will result in increased STEM knowledge andacademic self-efficacy among diverse elementary students.Bruner‟s7
their work, andemphasizes non-confrontational feedback processes in which the presenter chooses what kind ofcritique they would like to hear 36. In terms of physical space, the chairs and tables would be setup by instructor and GTAs when students arrived, then students would be able to restructurespace according to the activity planned for the day. As in the first introductory course, studentsoften worked with their groups using supplies from the art cabinet at their tables and on thewhiteboards. Although we did not employ Gerber’s survey to measure Innovation Self-Efficacy(ISE)12, in many ways the students dispositions reflect signs of low self-efficacy. However, theISE indicators reflect the types of activities taught in the class, and
. Does IL instruction result in increasedPhillips & United An undergraduate undergraduateZwicky (1) 2018 States of mechanical engineering 84 engineering technology ✔ ABET[54] America technology design course. student IL learning and self-efficacy United The development of twoPurzer et al. 2014 States of n/a n/a valid and reliable IL ABET[55
to their abilities, while the women were more likely to attribute successto outside help.Consistent with this finding, much of the recent research suggests that women’s persistence inengineering is tied to their self-efficacy in the field. Self-efficacy “refers to beliefs in one’scapabilities to organize and execute the courses of action required to produce givenattainments.”2 This includes dimensions of confidence in one’s abilities, commitment to a chosenpath, and positive feedback with respect to accomplishments. It is based on an individual’sperception, not always in agreement with an objective assessment, of one’s performance. Thewebsite of the Assessing Women in Engineering Project provides a wealth of references in thisarea
belongingness score.The growth mindset scales were obtained from the Stanford University Project on EducationResearch that Scales (PERTS) website22. It is comprised of three questions which proberespondents’ level of agreement to the fixed mindset. We implemented a 5-point Likert scale (1= strongly agree to 5 = strongly disagree). Responses to the items were found to be internallyreliable (Cronbach’s α = 0.83), and the responses across the three items were averaged to form asingle growth mindset score.Scales measuring happiness, self-perceived health, and self-efficacy were also included from thispaper. While not the immediate focus of this study, they obscured the objective of the study toparticipants.Academic performance measures were collected in
, NY, 2016.[8] M. K. Ponton, J. H. Edmister, L. S. Ukeiley, and J. M. Seiner. Understanding the role of self- efficacy in engineering education. Journal of Engineering Education, 90(2):247–251, 2001.[9] N. E. Betz and R. S. Schifano. Evaluation of an intervention to increase realistic self- efficacy and interests in college women. Journal of Vocational Behavior, 56(1):35–52, 2000.[10] J.J. Froh and G. Bono. Gratitude in youth: A review of gratitude interventions and some ideas for applications. Communique, 39(5):26–28, 2011.[11] J. Kabat-Zinn. Mindfulness-based interventions in context: Past, present, and future. Clinical Psychology: Science and Practice, 10(2):144–156, 2003.[12] M. Hoffman, J. Richmond, J. Morrow, and K
the self-efficacy to function in a complex solutionspace. Research literature suggests that a continuum of intellectual understanding of the worldviewexists. This continuum varies from a dualistic worldview on one end of the spectrum to a more 1 © American Society for Engineering Education, 2019 2019 ASEE 126th National Conferenceflexible pluralistic worldview on the other end. It is expected that students develop a more nuancedunderstanding of the problem spaces through their progression in college. However, movementalong this spectrum is usually far from expectations. The problems to
are encouraged to draw out the situation when problemsolving rather than hold all the details mentally or in writing. Additionally, having applied theknowledge students learned during lectures and independent study, their observed self-efficacywill be set appropriately. This refers to an individual’s belief in their ability to learn or perform aspecific task and is an important indicator of motivation. Students with higher self-efficacy aremore willing to engage in learning actively, and thus have a higher chance of success. As for the latter point, according to Bandura’s social cognitive theory, learning happensbest as a social activity where information is more readily retained with other individualspresent.3,4 The reason for this is
scope of aproblem—a skill highly desired for its potential in innovation and entrepreneurship—fills a uniquecurricular gap. The survey of learning experiences showed statistically significant differencesbetween pre- and post-course scores in self-efficacies, which suggests that students sawimprovement in the ratings of their learning in five target areas: (A) background research skills,(B) critical thinking and ideation, (C) project management and teamwork, (D) technicalcommunication skills, and (E) interest in medical engineering.1. Introduction Current engineering education has well-established curricula that covers domain knowledge,mathematic skills, and engineering tools. Although education content and format have evolved,the general
]. Metacognitive and self-regulation strategies can help students be moreeffective learners. The affective element of learning refers to student attitudes and mindsets thatcan influence their thinking and behaviors, ultimately impacting their learning and academicperformance.Learning and persistence in higher education, and engineering education specifically, areinfluenced by many internal and external factors [5], [6], [7]. For example, Geisinger and Raman[7] identify six factors driving students to leave engineering: classroom and academic climate,grades and conceptual understanding, self-efficacy and self-confidence, high school preparation,interest and career goals, and race and gender. The first three items are fundamental to theclassroom experience
comfortable they felt about certain topics or situations on aLikert scale of 1-5. The content domains were then mapped and correlated to the dimensions ofglobal competence from the PISA framework, shown in Table 1.Table 1: Mapping Content Domains to Global Competency Dimensions from the PISA global competencyframework Q# Content Domain Dimension of Global Competence 1 Self-efficacy regarding global issues 1 2 Awareness of global issues 1 3 Perspective-taking 2 4 Respect for people from other