Paper ID #33241Creative Self-Efficacy of Undergraduate Women Engineering MajorsDr. Christine Delahanty, Bucks County Community College Dr. Delahanty is the Area Coordinator of Science and Engineering, and Professor of Engineering and Physics at Bucks County Community College (Bucks). She worked as an electrical engineer at General Electric Co. for nine years in both military and commercial communication satellite operations. Her research interests include investigating creativity within STEM education as a factor in cultivating diver- sity. She establishes technical, college level, programs of study for modernized
materials to help facilitate rapid prototyping activities.After survey completion, student data were grouped into two categories based on response to questionsrelated to engineering self-efficacy. The highest responders on the engineering skills scales greater than 4on a 5-point Likert Scale were grouped as high-engineering self-efficacy, or high-ESE, and compared tothose responders that scored less than 4 on a 5-point Likert Scale as low-engineering self-efficacy, or low-ESE.Student perceptions towards different design activities were also measured. To examine the reliability ofthe scales for engineering self-efficacy, rapid prototyping, CAD, and 3D printing, the set of questionsassociated with each scale were assessed using Cronbach’s alpha test
.[3] May, Vicki (2014). “Broadening the Path to Engineering,” Huffington Post. http://www.huffingtonpost.com/vicki-may/broadening-the-path-to- engineering_b_4941739.html. March 2014.[4] Mamaril, Natasha A., Usher, Ellen L., Li, Caihong R., Economy, D. Ross, and Kennedy, Marian, S. (2016). “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study.’ Journal of Engineering Education. Vol. 105, No. 2, pp. 366-395.[5] Hsieh, P., Sullivan, J. R., Sass, D. A., & Guerra, N. S. (2012). Undergraduate engineering students’ beliefs, coping strategies, and academic performance: An evaluation of theoretical models. Journal of Experimental Education, 80, 196–218. http://dx.doi.org
retainingwomen engineering students? Do the virtual measures foster the same levels of self-efficacy inwomen engineering students as the previously offered face-to-face interactions? Do womenengineering students feel additional isolation from their peer group and perhaps question theircareer path when faced with an increased amount of online presence and the removal of criticalprograms aimed at increasing retention?While it is impossible to know the long-term impact on women engineering students due to thepandemic, it is possible to measure the immediate change in self-efficacy, sense of belonging andconfidence in program of study. This study measured changes in self-efficacy, belonging andconfidence of undergraduate women engineering students at a
-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
Loyola University Chicago and is currently holds the Walter P. Krolikowski, SJ Endowed Chair in the School of Education at Loyola University Chicago. He is an Associate Editor of the Journal of Counseling Psychology and his research interests span four related areas: multiculturalism, vocational psychology, social justice engagement, and applied psychological measurement. American c Society for Engineering Education, 2021 Exploring the validity of the engineering design self-efficacy scale for secondary school students (Research to Practice)Introduction and BackgroundPre-college engineering education efforts and associated research has seen a
University in Ghana. Pre and post surveys were administered tounderstand changes in students’ self-efficacy as a result of the intervention. The project scopewas to design, build, and fly a quadcopter drone to simulate surveying a mining area inZimbabwe and transporting items between two sites. This scope was significantly morechallenging than anything most of them had done before, as evidenced by less than half of thestudents reporting prior experience designing and building any product, and nearly a thirddescribing the project as “impossible” at first. Significant (p < 1.04 E-2) increases with mediumto large effect sizes (|g| = 0.653 to 1.427) were measured for five of six self-efficacy measures,capturing how students’ belief in their own
otherhands-on learning opportunities increase student self-efficacy and have positive effects onretention of minority students, particularly into postgraduate studies. Here we focus on assessingthe short-term effects of “Making” activities. Assessment included pre- and post-student self-efficacy surveys with three distinct areas of measurement: general self-efficacy, self-efficacy incourse outcomes, and self-efficacy in EM-related constructs.Preliminary data suggests that inclusive PSS activities resulted in positive student motivationalresponses comprising high levels of identified regulation and external regulation, with moderatelevels of intrinsic motivation. Relative to the average motivational response of the entire class,underrepresented
. [15]We hypothesize that increased participation in co-curricular activities, especially engineeringstudent organizations, will provide positive experiences that will be a driving force to pursuemore activities and more responsibilities. The more students experience positive outcomes whenperforming responsibilities could lead to increased self-efficacy and increased academic success.[16] The compounding reward system proposes that participation in co-curricular activitiesincreases self-efficacy and academic success in college. Student GPA, time to degree completion,and internships will be used to measure student success. A survey and case study interview willbe used to assess self-efficacy. Figure 1 shows the possible scenarios between self
CT awareness among leaders andpractitioners, builds traction by relating CT to local goals, educational initiatives, or reformefforts, connects teachers to help them explore grade-appropriate implementation, and createsopportunities to practice CT learning activities.Related WorkMalallah investigated complications associated with adopting a U.S.-based STEM outreachprogram into the Kuwaiti educational system. The program focused on teaching CT viaArduino and Scratch to students in grades 6–9. Malallah used pre-post self-efficacy surveys todetermine increased CT awareness. Survey results revealed that, although students wereconfused about some CT concepts, their overall CT knowledge improved after the STEMoutreach program [19]. In a
Articles which did not focus on McConnell and Dickerson (2017) Engineering undergraduate engineering students consider student arguments about or undergraduate engineering subject the function of external structures matter. on animals for survival. The subjects are fourth-grade students. Examine Process Articles which examined the process Purzer (2011) studied student rather than of argumentation, rather than the arguments, self-efficacy and Product products of argumentation (e.g. a individual student achievements. writing
Attrition: Lessons from Four Departments. The Journal of Higher Education, 76(6), 669–700. https://doi.org/10.1080/00221546.2005.11772304Holbrook, A., Shaw, K., Scevak, J., Bourke, S., Cantwell, R., & Budd, J. (2014). PhD candidate expectations: Exploring mismatch with experience. International Journal of Doctoral Studies, 9, 329–346.Holloway-Friesen, H. (2019). The Role of Mentoring on Hispanic Graduate Students’ Sense of Belonging and Academic Self-Efficacy. Journal of Hispanic Higher Education, 153819271882371. https://doi.org/10.1177/1538192718823716Jaeger, A. J., Mitchall, A., O’Meara, K. A., Grantham, A., Zhang, J., Eliason, J., & Cowdery, K. (2017). Push and pull: The influence of race
instrumentality in the motivationliterature [2]. Both of the frameworks in this study measure different aspects of students' beliefsabout their abilities in math and engineering and are utilized as they can shift due to educationalexperiences [20], [21]. The operationalization of these constructs, along with our population andstudy design, are outlined below.Research QuestionBy building off the body of available literature about student mathematics and the role ofengineering in fostering positive beliefs, we sought to implement an integrated engineering,science, and mathematics unit and answer the following research question:How do 5th-grade students' mathematics and engineering self-efficacy and perceived usefulnessfor abstract mathematics concepts
]. Students who ultimately leave engineeringbefore their second year often begin their engineering journey with unrealistic views of theirability and the difficulty of the journey. Typically, they underestimate the demands of the major(and career) and overestimate their ability to succeed in the major with little extra effort [2], [3],[5]. This paper compares pre- and post-measures of characteristics believed to be influential orrelated to academic success and student retention in STEM fields for three cohorts (2017, 2018,and 2019) of the AcES program.2.0 MethodologyThree survey instruments: the Grit assessment [6], [7], the Longitudinal Assessment ofEngineering Self-Efficacy (LAESE) survey [8], [9], and the Motivated Strategies for
demographics were effect coded as dichotomous variables:gender (female = 1 vs. male = -1; other genders were present in very small numbers and wereeliminated from the analysis) and international status (U.S. citizen or permanent resident = -1 vs.international student = 1). Instructional modality was also effect coded as a dichotomous variable(remote = -1 vs. traditional = 1).Additional scales used in this study included those associated with task value, self-efficacy,participation, TA support, faculty support, and positive emotional engagement. Sample items,primary scales as well as the source of these scales are noted in Table 1.Table 1: Independent and Dependent Variables(𝛼 =Cronbach's Alpha measure of internal consistency) References Primary
of URG students [13],[14].We hypothesize that PLSGs will effectively provide engineering transfer students with socialsupport that, in turn, promotes institutional and major persistence in ways consistent with socialcognitive career theory (SCCT).Study DesignTreisman’s approach has been implemented at several institutions [15], [16], [17]. Our projectdiffers in four critical ways: we (1) utilize the PEERSIST model in an engineering context, (2)extend beyond student achievement to also measure self-efficacy beliefs, (3) employ a virtualplatform to accommodate the unique work and personal circumstances of transfer students and(4) compare PLSG results to a TA-led study group.After piloting the method with four students in Spring 2020, the
measures to determine mismatches between how efficacious a woman in engineeringthinks she is versus the strategy she chooses and if it depends on the type of HC or who thecommunicator of the HC is. Our future work will compare the strategies used by people withother gender identities in engineering to see how:(1) others work to overcome HC inengineering, and (2) see how different others’ strategies are to those that women employ. We alsoplan to analyze responses to a self-advocacy item to determine how women extend their self-efficacy into advocating for themselves and others in engineering. With these findings, we aredeveloping professional development workshops to support women engineers’ advocacymentoring capacity within engineering
science teacher fellows. Gunning presents her research on science teacher self-efficacy, vertical learning communities for teacher professional develop- ment and family STEM learning at international conferences every year since 2009 and is published. She is the Co-Director and Co-Founder of Mercy College’s Center for STEM Education.Dr. Meghan E. Marrero, Mercy College Dr. Meghan Marrero is a Professor of Secondary Education at Mercy College, where she also co-directs the Mercy College Center for STEM Education, which seeks to provide access to STEM experiences for teachers, students, and families. Dr. Marrero was a 2018 Fulbright Scholar to Ireland, during which she implemented a science and engineering program for
domain during the pre-college yearsthat is one of the strongest predictors of intent to pursue or persist in a STEM major in college.This exploratory case study examined the lived experiences of eight high school girls whoexhibited strong STEM identities. This work reports on the role that all-female STEM spacesinfluenced participants’ intent to pursue STEM majors in college. Eight junior and senior girlswere interviewed over the course of an eight-week period during fall 2019 regarding theirperceived feelings of self-efficacy, their feelings of recognition in STEM, and their interest inSTEM domains. This qualitative research was framed using Godwin’s 2016 Engineering IdentityFramework, adapting it to accommodate a broader STEM Identity and
, including student scoreon the pretest three-dimensional modeling self-efficacy (3DSE) assessment, gender, age, andwhether or not the student had a parent with professional engineering backgrounds. The three-dimensional self-efficacy instrument consisted of nine questions, each being a 7-point Likerttype item, designed to measure students’ self-efficacy related to modeling three-dimensionalobjects [11]. Logistic regression could not identify for which subgroups of students the variableswere most significant. For these reasons, machine learning analytics software was used toexamine the predictors, and their interactions, that led to persistence in engineering degreeprograms. Machine learning has gained popularity over recent years due to its ability
, extrinsic goal orientation, task value, control of learning beliefs, self-efficacy forlearning and performance, critical thinking, and metacognitive self-regulation; 2) the Change-Readiness Assessment [10] which assess 7 subscales, including adventurousness, confidence,adaptability, drive, optimism, resourcefulness, and tolerance for ambiguity; 3) PersistenceMeasures [11] which measures 3 responses including graduate study, career, and intent to changemajor; and 4) the Longitudinal Assessment in Engineering Self-Efficacy [12] which providesresults in six subscales, including self-efficacy, sense of belonging, and career expectations. Allof the questions are related to the course and/or learning environment. These questionnairesemploy 7-point Likert
, to estimate the expected total numberof delayed months, including: 1-3 months, 4-6 months, 7-9 months, 10-12 months, and morethan one year. In terms of the career outcome, we evaluated students’ job search self-efficacy byasking three questions [25]: “Since the COVID-19 outbreak occurred, how confident have youbecome in finding (1) the job for which you are qualified? (2) a job in a company/institution thatyou prefer? (3) the job for which you are prepared?” The 5-point Likert scale was from -2 (muchless confident) to 2 (much more confident). The Cronbach’s alpha for these three job search self-efficacy items is .906. The measure for mental health outcome, which focused on symptoms ofdepression and anxiety, asked students if in the last 7
participants to report these findings. The remainder of theanalyses focused on gender.Similar rates of persistence existed for women and men, even though when they began theprogram there were statistically significant difference between mean scale scores for freshmenwomen and men on some measures of self-efficacy. For the Self-Efficacy Scale II, t(66) = 2.63,p = .011; Career Success Scale, t(66) = 3.03, p = .004, and Math Scale t(66) = 2.49, p = .015,men averaged higher scores than women (see Table 2 for averages). Although men scored higherthan women on the Self-Efficacy I Scale and Coping Self-Efficacy Scale, these results were notsignificantly different. Women and men scored similarly on the Inclusion Scale. The means onself-efficacy scales at the
students to enter graduate school. Quantitative measurableoutcomes will include increased student retention; increased cohort self-efficacy and identitystatistics; higher-than-average graduation rate for the cohorts through evidence-based programs;and successful placement in industry or graduate school. CREATE will have a broad impact onlow-income, academically talented students in two key ways (1) Support of 32 students withscholarships; and (2) Implementation and assessment of academic and professional developmentsupport mechanisms that are tuned to the needs of these students. Both impacts achievestate/federal strategic workforce diversification goals. Qualitative measurable outcomes willinclude attaining academic and personal goals; increased
including the Society of Women Engineers (SWE), the Society of Hispanic Professional Engineers (SHPE), the Society of Asian Scientists and Engineers (SASE), the National Society of Black Engineers (NSBE) and nine times Outstanding Chapter Awardee, the American Chemical Society-Wright College Chapter. Doris promotes collaboration between K-12 schools, other community colleges, 4-year institutions, non-profit organizations, and industries. Doris’ current research is to design and implement practices that develop Community of Practice (CoP), Professional Identity, and Self-Efficacy to increase diversity in Engineering and Computer Science and to streamline transfer from community colleges to 4-year institutions.Bridget
Through After-School STEM Activities. Journal of Science Education and Technology, 25(6), 889–897. https://doi.org/10.1007/s10956-016-9643-3[10] Gibbons, M. M., & Borders, L. D. (2010). A measure of college-going self-efficacy for middle school students. 234–243.[11] U.S. Department of Education. Institute of Education Sciences, National Center for Education Statistics. (2019). Digest of Education Statistics, 2019. Retrieved February 20, 2021, from https://nces.ed.gov/programs/digest/d19/tables/dt19_219.57.asp?refer=dro.asp[12] Roeser, R. W., & Lau, S. (2002). On academic identity formation in middle school settings during early adolescence: A motivational-contextual perspective. In T. M. Brinthaupt & R. P
guidanceand support to students throughout their tenure at the university. Using a mix-method assessment, students were initially asked to participate in theEngineering State of Mind Instrument (ESMI), a recently tested and developed tool, at UMBC.The ESMI provides immediate evaluation to the student, assisting them in understanding theirattitudes, perceptions, motivations, and self-efficacy in pursuing an engineering degree. Studentscan use the results and recommended interventions to improve any mindset deficiencies. AfricanAmerican/Black students, who participated in the instrument, were asked to engage in a follow-up interview providing a more detailed explanation of their current mindset about theengineering field. Additionally, scholar
own words.This instrument was developed to measure indicators of impact on the SCCT constructs ofoutcome expectations and self-efficacy. Figure 2: Outcomes and Subscales of the Pre/Post Test. Note: * indicates significant differences favoring Academy Cadets.To supplement the pre/post assessment we collected qualitative data through interviews andstudent reflection journals. At the end of each day of the Academy, students were givenreflection prompts about the day’s activities. Students kept an electronic journal which captureda record of all their responses to each prompt. These journals were analyzed and comparedagainst the findings from the pre/post survey to better understand student attitudes towardSTEM, big ideas students took
the northeastern US. The survey is administered twiceeach academic year to explore self-efficacy, belongingness, preparedness, and engagement, bothlongitudinally and cross-sectionally. In March 2020, our university quickly pivoted to remotelearning in response to the outbreak of COVID-19 and in the fall of 2020 our campus re-openedfor hybrid learning. The abrupt changes in higher education, brought on by the current publichealth crisis, affect students’ learning and mental health, in ways that will likely be long lasting.To measure the impacts of the pandemic on engineering students, twenty Likert-type screenerquestions were added to the survey, which was re-administered in June 2020 and again inSeptember 2020. This paper shares findings from
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