supportresources. These items, and several subsequent items about engineering attitudes and beliefs, areadapted from the POWER study [6], which investigated women’s persistence in engineeringcareers. The POWER survey was derived from SCCT [10], which lends the ability to comparethe proposed to previous literature. Although the POWER survey includes a measurement ofengineering self-efficacy, in this study we operationalize a self-efficacy scale relating to theABET student outcomes [25]. This tie between self-efficacy and accreditation student outcomescan offer insight into the actual tasks that engineering graduates use professionally. In addition toattitude and belief measures based in SCCT, we also include engineering beliefs factors relatedto
administered to both S-STEM scholar and non-affiliated S-STEM mechanical engineering students. Using a 6-itemLikert survey, students were asked to assed their perceptions and attitudes regarding each of theconstructs. At the end of the Spring 2019 semester, a post-survey will be administered to thepopulation for comparison.Survey Instrument In partnership with the psychology department, a survey was developed containingmeasurable items regarding their attitudes, perspectives, science/engineering identity, andresearch self-efficacy. Below are the measurable constructs and their items showing reliability. 1. Research Self- Efficacy: Measured by six items from the Scientific Self-Efficacy Scale [10] that assesses students’ ability to
is important to understand which beliefs arerelevant to academic performance and how these frameworks of thought differ betweenadvantaged and disadvantaged students. These beliefs that students have relevant to theireducation are related to academic performance. If disadvantaged students enter college withmaladaptive beliefs, they may act as compounding obstacles in addition to financial strains andother external variables.A. Self efficacy Self-efficacy, or the beliefs about one’s ability to successfully complete a task, is criticalfor student retention and persistence through adversity [9]. Even when an individual possessesthe abilities necessary for success, their beliefs in personal capability to perform the taskinfluence their
SWE member who zealously engages in community service work. ©American Society for Engineering Education, 2023 Full Paper: Impact of Inclusion of Makerspace and Project Types on Student Comfort with Additive Manufacturing and Three-Dimensional Modeling in First-Year Engineering ProgramAbstractThe following evidence-based practice study investigates the impact of utilizing a makerspace onthe exposure to additive manufacturing and three-dimensional modeling practices for first-yearstudents. This document builds upon recent literature which illustrated statistically significantgains in a plethora of self-efficacy and sense of belonging metrics over an academic year inwhich a makerspace was
their engineering workplace. DEIconcepts can be incorporated in first-year engineering curriculum to enhance student design andexposure to diverse cultures during this unique design for additive manufacturing (DfAM)teaching module. This paper describes the development of a DfAM workshop that incorporateshistorical and cultural themes. Students’ perception of the design experience will be measuredusing an engineering self-efficacy validated tool, pre- and post-workshop survey, and measureddesign outcomes (CAD model) after engaging in a DfAM workshop. The workshop uses activitiesguided by the Kern Engineering Entrepreneurial Network (KEEN) framework which includescuriosity, connections, and creating value. The workshop introduces the
on the unique challenges of underrepresentedstudent populations in rural parts of the U.S. Results from this study will go into furtherinforming the current mentoring model utilized in Botswana. In addition, this study will provideinsight into the best practices for facilitating a virtual-mentoring experience through the use of asoftware application in facilitating long-distance mentoring relationships. Researchers willinvestigate its viability to serve as a mentoring tool in Botswana. Finally, this research study willdevelop formative and summative evaluation tools that will help investigate the impact of theBotswana mentorship program on female students’ self-efficacy, interests, and perceptions ofSTEM careers. NC State is uniquely
-regulated dimension highlights self-initiated actions and processes aimed at acquiring and applying information or skills that involve settinggoals, self-monitoring, managing time, and regulating one's efforts as well as physical and socialenvironment for goal fulfillment12. However, the most robust factors for motivation and learning Page 26.1172.3strategies could be self-efficacy and effort regulation. Motivational strategies are closely related to thegrades of university students.Research methodology:Participants: The targeted population included male and female freshmen, sophomores, juniors and seniorsfrom both private and
used to examine whether students’ learningoutcomes differed between boys and girls. On the first day of the camp, there was no difference instudents’ perceptions of competence, homework motivation, and school engagement betweenboys and girls, ts < 1.47, ps > .148. Likewise, a month after the conclusion of the camp, therewas no statistically reliable difference between boys and girls on the outcome measures,ts < 1.10, ps > .283. Hence, the camp experiences were similarly effective in these domains oflearning for both boys and girls.6 DiscussionResults show that the code camp is an effective informal learning activity, as it can facilitatestudents’ self-efficacy and engagement in both computing as well as learning in
, and lectures.from various engineering disciplines. The course Previously, an engineering graphics and “fundamentals”presented a great breadth of topics through a series of style intro sequence was required of all students and thetutorials, laboratory experiments, and lectures. When faculty led the programs through a change to thereflecting and commenting on the course, students aforementioned model in 2008. In 2012, the author started hisexpressed frustration with a “lack of accomplishment” faculty career at Norwich and was immediately tasked withand “jumping around”—indicators of low self-efficacy “fixing” this introductory course, which was in its infancy. Abeliefs. Further
school. In fact, Cass, Hazari, Sadler, andSonnert [10] found that only 280 out of 6,860 engineering students were interested in pursuing anengineering career at the beginning of high school. As the nation’s need for highly qualified engineering professionals grows, policymakersand educators have focused their efforts in increasing recruitment and retention of womenpursuing post-secondary engineering degrees and engineering careers. While self-efficacy hasbeen found to be a significant factor in predicting academic success of women pursuing non-traditional career paths, such as engineering [11] the exact nature of how engineering curriculumand engineering contexts impacts self-efficacy for women remains unclear [9]. Exploring thefactors
University of Colorado Boulder.Twenty-five survey items were used to measure four sub-components of sustainable engineeringmotivation, single items were used to measure global interests and interdisciplinary value, andnine items evaluated consideration for others. Sustainable engineering self-efficacy, value, andnegative attitudes were similar among students in all three majors. Environmental engineeringstudents had higher scores than civil and architectural engineering majors in sustainableengineering affect and overall motivation. Interest in working on projects outside the U.S. washigh, without significant differences between environmental, civil, and architectural engineeringstudents. Interdisciplinary value was the higher among environmental
; Ohland, 2012]. Includes phrases for innovation [33] and innovation self-efficacy [34] as a conception of self that express intrigue, interest, and excitement for observing and experimenting with new approaches. An overlap between achievement motivation and innovation exists since individuals with a high need to achieve also demonstrate a visionary sense and gain a sense of self-worth from excelling and doing something new. Dissimilar to achievement motivation, however, innovators have a creative competence [32] and a comfort with ambiguity [2]. Affiliation It tracks the extent to which a participant is personally capable of understanding the emotional make-up of other people and
interaction, network density, network bridging, and networkreach at the school, district, state, and national/international community level, using 18statements. This instrument uses social network analysis (SNA) with visual network scales(VNS) to visualize and quantify characteristics of the CoP and then relates this to the constructsof self-efficacy and identity [24]. Preliminary results measured before and after the PD areshown below from our initial group of TRAILS 2.0 teachers (COP) Network Survey (n = 7). • Overall CoP Network size increased at the 95% confidence level (p < 0.05). • CoP Network size at the national/international level increased at the 95% confidence level (p < 0.05) • CoP Network sizes at the school
a measure of self-efficacy (1 = not at all true, 4 = exactly true). The final sectionasks students about their career plans and uses the same scale as the second section. Theinstrument was developed by the Georgia Tech Office of Assessment and uses an externallyvalidated General Self-Efficacy Scale to assess an individual’s ability to cope with stressful lifeevents.405.0 ResultsMean scores from the GITIIS were computed for both programs, and independent anddependent samples t-tests were conducted in order to assess between and within group meandifferences, respectively. The complete results are reported in the appendix, but this paper willfocus on the student responses to items measuring perceived level of preparation at the end oftheir
-Camp Surveys. The quantitative surveys included measures of science andengineering interest and self-efficacy developed for this age group. [33] [34] Example items areprovided in Table 3. The scale for each ranged from 1 (not at all true) to 3 (somewhat true) to 5(very true). Given the limited sample, we used the Wilcoxon signed-rank test for a paired samplecomparison. [35] This nonparametric test compares the magnitude of pre-to-post changes acrossparticipants to determine if the positive changes are consistently larger than any negativechanges.At the beginning of camp, students also rated their career and life values on a survey instrumentcommonly used for career planning. [36] Examples are included in Table 3. The scale rangedfrom 1 to 4: 1
engineering.ConclusionIn engineering, HC is not well understood, including its mechanisms or potential constructs. Toour knowledge, there is no research that has attempted to explore the mechanisms and potentialconstructs behind HC in engineering. In this work, the authors have summarized some potentialconsiderations and constructs that can be measured for the exploration of HC in engineering.Collectively, the considerations posit that HC identification is central and could be tied to anindividual’s emotions, self-efficacy, and self-advocacy. It is believed that when individualsexperience scenarios, via vignettes, that center around HC in engineering, they can identify the HCthrough a frame of reference that can enable them to respond and react to the witnessed
persistence and retention in the field [28], [29]. Godwin [30]dissociates identity into three separate factors: recognition from others, interest in engineering,and performance/competence, which is tied closely with self-efficacy. Similar measures are thusused in the survey instrument for this work. Also tied to engineering interest is the exposure ofstudents to seeing the ways in which engineers contribute to society, how they change the world,and how they make it a better place. Explicitly showing this can help encourage futureengineering interest and broaden participation in the field [31].The literature shows that much has already been implemented in the way of promoting equity inengineering and science. Much of what has been done has been in the
and mentors.Evaluating Impacts of Trained Participants on the Bioengineering CommunityWhile we hypothesize that our course empowers participants to accomplish the learning goalsand develop greater self-efficacy as educators while taking the class, we aim to further evaluatethe longer-term impacts of our course participants within the bioengineering departmentcommunity by measuring their effectiveness as TAs. We will design our data collection alongthree key dimensions: (1) Sampling a greater proportion of graduate students in Bioengineeringincluding non-course participants as a control, (2) Evaluating content mastery of pedagogicalknowledge covered in the course via written and/or oral assessment, and (3) implementinglongitudinal surveys to
insights into these findings. One possible explanation may be stereotypethreat, which Steele and Aronson [10] first described as being at risk of conforming to negativestereotypes within one's own group (e.g., men are better engineers, boys are better at math).Stereotype threat has been shown to inhibit performance and self-efficacy, which isinterdependent on self-regulated learning [11], [12]. However, research has also found thatfemale engineers can experience a “stereotype boost”, where they are motivated by the presenceof unfavorable stereotypes [13]. Female students in this study could be motivated by stereotypethreat to overcome negative stereotypes, especially since they were able to compare themselveswith peers, largely male, within
, observation b) Significantly more positive self-efficacy when faced with a STEM-related problem. i) Pre/post attitudinal survey; key interviews, observation c) Significantly improved intentions to take STEM-related courses after the program. i) Pre/post attitudinal survey; key interviews, observation d) Significantly improved self-efficacy in regard to 21st century skills 62) SystemsGo’s participants will finish the program with significantly improved 21st century skills, including teamwork and collaboration, communication, leadership, and problem solving. (reaching some pre-determined criterion) a) Exhibit significantly more positive
engineeringidentity, sense of belonging, and self-efficacies.The survey instrument was designed with validated scales to measure engineering self-efficacy[19], design self-efficacy [20], and students’ sense of belonging [21]. The first survey also askedstudents to self-report demographic items, such as gender identity, sexual orientation,race/ethnicity, nationality, status as first-generation college students, estimated family income,plans to work during the academic year, and if they would identify as having a disability. Theinstrument also asked students what forms of making they had previous experience with, forexample, woodworking or making with textiles. Students’ perceived attitudes towardmakerspaces were also collected through the form of Likert-type
becoming a critical job skill of the future. When one learns coding, it can help lay out aplan, evaluate the methodology, troubleshoot problems, and implement a strategy. STEM Confidence Albert Bandura’s self-efficacy theory will be used to define STEM confidence. AlbertBandura’s self-efficacy theory is developed in the field of behavioral change and he states that“…cognitive processes mediate change but that cognitive events are induced and altered mostreadily by experience of mastery arising from effective performance” [11]. The mastery that arisesfrom this effective performance is defined as confidence. Confidence is the self-belief in people’scompetence or chance to successfully complete a task [12
conducting mixed methodsresearch. Thousand Oaks, CA: Sage Publications, Inc.[14] Merriam, S. B. (1998). Qualitative research and case study applications in education. SanFrancisco, CA: Jossey-Bass. [15] D. Chachra and D. Kilgore, “Exploring gender and self-confidence in engineering students:A multi-method approach,” Cent. Adv. Eng. Educ., Washington, USA, Tech Rep. Apr. 2009.[16] H. Chen, K. Donaldson, O. Eriş, D. Chachra, G. Lichtenstein, S. D. Sheppard, and G. Toye,“From PIE to APPLES: The evolution of a survey instrument to explore engineering studentpathways,” in 2008 ASEE Proceedings.[17] D. Baker, S. Krause, and S. Y. Purzer, “Developing an instrument to measure tinkering andtechnical self-efficacy in engineering,” presented at the 2008 ASEE
accessing therequired technical information either through the library or online platforms; and, Questionnaire#2 (Fig. 2) which focused on the students’ communication and collaboration self-efficacy(adapted from one author’s previous work). Cronbach’s Alphas for Questionnaire #1 was 0.832,N=30, and for Questionnaire #2 was 0.794, N=29, respectively.Questionnaire #1 aligns with ABET Criterion 3, Outcome (1) “an ability to apply knowledge,techniques, skills and modern tools of mathematics, science, engineering, and technology tosolve broadly-defined engineering problems appropriate to the discipline”. Questionnaire #2aligns with Criterion 3 Outcome (5) “an ability to function effectively as a member as well as aleader on technical teams”. The
the 25 girlsin the FEMME program, 18 had attended the 4th grade FEMME program, 5 had attended the 4thgrade mixed-gender program, and there were 2 new students. One of the girls who hadpreviously attended the 4th grade FEMME program attended one of the mixed-gender programs.Except for the FEMME programs which had approximately 70% returning students, each of theother programs had approximately 40% returning students.The positive effects on female students acquired during the summer of 2015 were sustainedthrough the school year and were still evident from pre-measures for girls who returned duringthe summer of 2016. At the beginning of the 2016 program, the girls who had attendedFEMME4 showed higher levels of self-efficacy and demonstrated a
]. 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
projects. Across two years, 32 teachers from two cohorts provided post-fairsurvey data from participating and non-participating students. We received data from 1,257students at the beginning of the year, but just 982 at the end of the year. Our matching effortsidentified 795 complete cases, which is the data we focus on here. See Table 1 for a breakdownof demographic information by teacher.MeasuresThe evaluation team developed these surveys to assess student attitudes towards science andengineering as well as experiences being involved in S&E fairs. Measures of science attitudes(value and self-efficacy for science) as well as science and engineering interest were drawn fromthe MSP-MAP project[12] that developed theoretically grounded measures
participation rates relatedto academic cohort (e.g., junior, senior), gender, underrepresented minority (URM) status, first-generation, and low-income status, as well as a subset of identities at the intersection of thesegroups (gender + URM; first-generation + low-income). A logistic regression model furtherexamined factors such as GPA, engineering task self-efficacy, field of engineering, andinstitution type.We found that amongst the students in our dataset, 64.8% of the seniors had “worked in aprofessional engineering environment as an intern/co-op” (41.1% of juniors, 64.7% of 5th years).Significantly less likely (p<0.05) to have internship experiences were men compared to women(52.9% vs 58.3%), URM students compared to their majority
specific and complex challenges.8,10Inductive teaching methods truly cover a large variety of instructional methods, from inquirylearning, problem-based learning, and project based learning. Often, these methods are deemed“student centered”, as the mastery of the concepts falls on the students to understand theimportance of the material from the problems or projects.11 Overall, inductive teaching styleshave more student benefits than deductive teaching methods. Inductive teaching methods offermore combinations to reach the learning style needs of the classroom and engage students moreactively in the subject matter.Student Perceptions in the ClassroomSatisfaction, self-efficacy, motivation, and classroom environment are the main factors in
entrepreneurial action.With respect to entrepreneurial interest, Lent, Brown, Sheu, Schmidt,and Brenner posited that aperson’s interest in a given activity is based on two concepts: 1) self-efficacy or beliefs aboutone’s own personal capabilities; and 2) outcome expectations or beliefs about the outcomes ofengaging in a particular course of action.10 We propose that alumni who have shown highinterest are more likely to pursue entrepreneurship, since interest will result in a higherlikelihood of entrepreneurial action.We hypothesized that alumni who have expressed high intentions to pursue entrepreneurialactivities are more likely to seek out these activities. This included constructing a model toidentify which are the important factors that predict