imaginepossible situations and respective outcomes for performing successfully and unsuccessfully; 3) aperson’s ability to learn though observing others; 4) a person’s influence by verbal persuasionsfrom external sources; 5) psychological states; and 6) emotional states 3.In the early 1980s and into 1990s, the self-efficacy construct was taken from Bandura’s initialdefinition and tied to a person’s confidence in passing a course, finishing an engineering degreeprogram, or one’s confidence in finding a job that he or she will like. In 1981, Betz and Hackett4, 5 established field of occupational self-efficacy research, where a person’s confidence in careerrelated pursuits. Lent 6 established the first academic milestones measure of self-efficacy, a
attempts to correct minority underrepresentation in the engineering disciplines,educational researchers, cognitive psychologists, and scholars in related fields have since the1980s developed many studies centered on the notion of student self-efficacy. 1-6 These studiesseek to measure the degree to which under-represented minority or otherwise marginalizedstudents experience a sense of self-confidence or feeling that they are able to counter "barrierconditions." Those conditions might include discrimination or other challenging social andintellectual situations encountered in college. While such studies are certainly preferable to adenial of differences between minority and majority experiences, they intentionally or otherwisesupport the notion
3 2 122 Sophomore 14 94 3 0 111 Junior 8 83 4 1 96 Senior 14 49 2 0 65 Total 53 326 12 3 394Table 1: Distribution of sample size my class and ethnicityInstrumentThe LAESE (Longitudinal Assessment of Engineering Self-efficacy) and APPLES(Academic Pathways of People Learning Engineering Survey) instruments werecombined and revised into an 86 item survey that would serve the needs of this researchstudy. The LAESE instrument was created, tested, and validated to measure self-efficacy,inclusion, and outcome expectations8. The APPLES
attainment and career opportunity, as suggested by social cognitive careertheory11. However, no data on the career self-efficacy of engineers in the workplace exists.During this study, career self-efficacy of black engineers was measured using an adapted 25-question Career Decision Self-efficacy Short Form2 (CDSE-SF) instrument, assessing careerself-efficacy subscales of self-appraisal, occupational information gathering, goal setting,planning, and problem solving. The results of a survey of 131 black engineers in a largegovernment engineering organization indicate that the career self-efficacy of black engineers ishigh. While the CDSE-SF is highly respected and widely used, the recommendation is made tofurther develop and validate the career self
data was collected across three instruments. Thedemographic questionnaire collected data about participants’ demographic information andacademic background. The Doctoral Student and Development and Outcomes Survey, createdusing the research of Nettles and Millet (2006) and Lovitts (2001), was used to assess thesatisfaction and scholarly engagement of the students’ academic experience20,21. The CareerDecision Self-Efficacy Scale (CDSEC), which was originally derived from the Competence Testportion of the Career Maturity Inventory, included five sub-scales measuring self-appraisal(knowing yourself), occupational information (knowing about careers), goal selection (selectinga job), planning (looking ahead to the future) and problem solving (what
Paper ID #6156Evaluating the ”Impacts” Section of the Engineering Self-Efficacy, Interest,and Perception SurveyDr. Cameron Denson, North Carolina State UniversityChandra Y Austin Ph.D, Auburn UniversityDr. Christine E. Hailey, Utah State University Dr. Christine Hailey is a Senior Associate Dean in the College of Engineering and a Professor of Mechan- ical and Aerospace Engineering. Her teaching responsibilities include Thermodynamics I and the Women in Engineering Seminar. She is the Principal Investigator of an NSF-funded project entitled ”The Influ- ence of MESA Activities on Underrepresented Students.” The Math
significantly related to persistence. Their research showed reliableimprovement in persistence (p < 0.05) when motivation was included as a factor. Vogt et al. (28)measured self-variables including academic self-confidence and self-efficacy, as well as otherenvironmental and behavior variables to learn what influences a student’s academic achievement.They found that academic achievement was influenced by self-efficacy (p <= 0.01) and academicself-confidence (p <= 0.01). The results of these studies lead to a common conclusion. Self-regulation is essential inthe persistence of not only underrepresented minority students in engineering, but also allstudents. Self-regulation has also been found to result in improved student self
Engineering Students Through an Intersectional LensAbstractHigh-impact academic experiences, particularly research and internship experiences, havepositive impacts for engineering students on engineering task self-efficacy (ETSE), a measure ofstudents’ perception of their ability to perform technical engineering tasks. However, under-represented racial/ethnic minority students (URM) and women in engineering are found to haverelatively lower self-perceptions across several academic and professional self-efficacymeasures. Previous studies examined the impact of research and internship experiences on ETSEfor students categorized by gender and URM status separately. The current study explores theimpact of these experiences on ETSE for the intersection
careers.3 The expressed purpose of URPs is criticallyimportant given that minorities tend to have lower self-efficacy, lower confidence in their mathand science skills, and less access to scientific courses and highly technical learning experiencescompared to their majority peers.4 And while previous research has focused on the intendedpurpose and general nature of URPs, as well as sex differences in URP participants’ perceptionsof the program,5 no studies were readily uncovered that measured the influence of URPparticipation on specific learning outcomes such as research self-efficacy. This is the gapaddressed by the present study.PurposeThe purpose of this study was to measure the influence of background traits and research-relatedexperiences
participate in the program from the same cohorts. The study investigatesthe relationship between self-efficacy, pre-college academic preparedness measures and theeffect of these factors on early college success outcomes (e.g., term GPA) for URM students whoparticipated in STP as well as URM students who did not participate.LITERATURE REVIEWSelf-efficacy is defined as confidence in one’s ability to perform specific tasks or courses ofaction necessary to attain a specific goal or function in a specific capacity. (Bandura, 1997).When measuring self-efficacy respondents are asked to rate their level of confidence forattaining a specific goal. A student’s self-efficacy has an influence on the decisions that he/shemakes regarding their demonstrated efforts
Computer Science Education. 6. Goode, J. 2008. Computer science segregation: Missed opportunities. The Voice. 4(2). 7. Graham, J. M., & Caso, R. (2002). Measuring engineering freshman attitudes and perceptions of their first year academic experience: The continuing development of two assessment instruments. In the Proceedings of the 32nd Annual Frontiers in Education Conference. 8. Gushue, G.V. and Whitson, M.L. (2006). The relationship among support, ethnic identity, career decisions and self-efficacy, and outcome expectations in African-American high school students. Journal of Career Development, 33(2), 112-124. 9. Hilpert, J. C., Stump, G., & Husman, J. (2010). Pittsburgh engineering
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
persistence in engineering by way of self-regulation theauthors point to two influential studies. French et al. note several cognitive (high school rank,SAT scores, cumulative grade point average) and noncognitive variables (academic motivationand institutional integration) that influence students’ persistence in engineering, with motivationbeing significantly related to persistence3. Vogt et al. measured self-variables including academicself-confidence and self-efficacy, as well as other environmental and behavior variables to learnwhat influences a student’s academic achievement4. They found that academic achievement wasinfluenced by self-efficacy and academic self-confidence.The results of these studies support social cognitive theory and provide
relationship betweenoutcome expectations and other behavior factors such as self-efficacy and interest. SCT is basedupon the assumption that human ability is a dynamic attribute, and that competence in complextasks requires both well-developed skills and a strong sense of efficacy to deploy one’s resourceseffectively. Social Cognitive Career Theory (SCCT) provides a base for exploring the interactionamong personal, environmental, and behavioral influences in career development.7 SCCTemphasizes the role of self-efficacy, beliefs, outcome expectation and goals in career selection.The instrument was designed to measure three constructs related to engineering: self-efficacy,interest, and perceptions. Self-efficacy refers to the composite beliefs about
, and White men and women engineering majors enrolled at 11 partnerinstitutions (6 HSIs and 5 PWIs). All Latinx and White engineering majors enrolled at thepartner institutions in the 2014-2015 academic year were invited to participate in an onlinesurvey, which included measures (see Table 1 for a list of all measures with citations, totalnumber of items, and internal consistency reliabilities) to assess demographic data, engineeringlearning experiences, engineering perceived supports, engineering perceived barriers,engineering self-efficacy, engineering positive outcome expectations, engineering negativeoutcome expectations, engineering interests, engineering academic satisfaction, engineeringacademic engagement, engineering persistence
fields likescience, technology, engineering, and math (STEM). As the U.S. experiences a decline in skilledSTEM workers and a growing number of racial/ethnic minorities, it is critical that more attentionbe paid to the college success of underrepresented populations majoring in STEM. While somestrategies for increasing STEM student success have focused on social-psychological factorssuch as academic self-efficacy and resilience, little attention has been given to these factorsamong specific minority groups in STEM such as Black men. To extend the current literature,interviews with 27 Black male collegians majoring in engineering or engineering-related fieldswere analyzed through the lens of the ‘buoyant believers’ framework. Based on the model
.” Page 13.171.2This research will use a hybrid approach in which quantitative data related to self-efficacy,learning preferences, and structured interviews will be combined in an attempt to identify traitsof successful female students enrolled in Engineering Technology programs at a large land-grantuniversity in the Midwest. Hazzan and colleagues (10) writing about the advantages of usingqualitative research in some studies, notably computer science education, noted that: … in many cases, CSE research deals with topics related to learners’ mental, cultural and social processes. Such processes, by nature, are rich, consisting of many details and perspectives. Accordingly, it is reasonable to assume that if we approach
studied acrosseducation and psychology literature. As an example, Australian high school students’ academicself-efficacy is a significant predictor of academic resilience.27 Similarly, low-income Blackcollege students with high academic confidence who were also able to “bounce back” fromacademic challenges and setbacks in college (i.e., students labeled as “buoyant believers”)achieve greater academic success, as measured by grade-point average.29Using findings from the aforementioned study of low-income Black students, Strayhorn createdthe ‘buoyant believers’ framework. The framework positions students in four categoriesrepresenting the intersection of various degrees of academic self-efficacy and resilience. Thefour categories include (a
activities” (CareerExploration Skills).The SCDI has been used in studies of adolescent, college student, and post-high school youngadult career development [e.g., 27, 28, 29], including studies of the career development of NativeAmerican young people. Career exploration, as measured by the SCDI, has been positivelyrelated to interests and efficacy among Native American young people [30].The Career-Related Parent Support Scale [31] is a 27-item instrument that was used to measurestudents’ self-reports of their parents’ support in the four areas of self-efficacy information(Instrumental Assistance (IA), Career-Related Role Modeling (CM), Emotional Support (ES),and Verbal Encouragement (VE)) identified by Bandura [32]. IA is the tangible help provided
present its results, and discusssuggestions for improvement.Literature reviewEngineering Students with Disabilities: Because disability is not always visible and becausecollege students must self-identify as disabled, it is difficult to know the true number ofengineering students with disabilities. This section will review literature about students withdisabilities’ commitment to the engineering major and career, their extracurricular engagement,their feelings of self-efficacy in engineering, and their perceptions of “otherness.”Commitment to the engineering major and career: According to the National Science Foundation[8], students with disabilities enroll in undergraduate science and engineering fields at similarrates to their non-disabled
. The program seeksto improve students’ competence and self-efficacy in science and engineering, stimulate an interestin pursuing STEM-related careers, and provide engaging “hands-on/mind-on activities.” Theprogram is divided into two initiatives which include an academic year and weekend academy. Atotal of 45 middle school students have participated in a 1-week Girls in Science Lab Camp andfive half-day Girls in Science and Engineering Weekend Academy activities. For the Girls inScience Lab program, the participants were divided into teams and assigned an environmentalscience and engineering themed case study to solve during guided laboratory experience. Studentswere taught how to collect and analyze water samples using university laboratory
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
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
attention is focused on institutional characteristics and peer perceptions. This isthe missing piece that will be examined.Another limiting factor for women and minority students to achieving degrees in STEM fields istheir individual perception of their ability to succeed in a given situation, known as self efficacy,influences their thoughts, feelings, motivation, and behavior [7]. Four factors contribute to thedevelopment of self efficacy: mastery experiences, vicarious experiences, social persuasion, andphysiological states. Vicarious experiences include peer comparisons, social comparisons withothers, and the impact of models. The vicarious experience of women and minority students canprove to have a strong effect on their individual self
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
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
addressidentification with specific domains (e.g. engineering, math, history).Results from studies of identification consistently show statistically significant positive Page 25.710.3correlations between level of academic identification and desired academic outcomes such asstrong self-efficacy,11 higher overall GPA,12 lower absenteeism,6 and decreased cheating.13However, Osborne also found that the correlation between academic identification andachievement scores varies among different racial/ethnic groups, and also varies by gender withingroups.8 In all cases, though, decreases in identification were linked to decreases in academicperformance.8 Later work by
individually and in small groups.Students spend up to six hours a day for five days working on improving their math skills. Veryseldom do students get the opportunity to concentrate all of their efforts on math during theregular semester. To that end, in an effort to describe the effect of Math Jam on participant self-efficacy (the participant’s belief in their capability to complete specific tasks or goals) a self-efficacy instrument was administered as part of the pre- and post-program surveys. Studentswere asked 18 of the 34 question Mathematics Self Efficacy Scale developed by Nancy Betz andGail Hackett to measure student self-efficacy related to math both at the very beginning of MathJam and again on the last day of the program. The questions
, leadership skills, and contentknowledge, contributing to an increase in their computing self-efficacy. No statisticallysignificant differences were found based on gender or ethnicity, intersectional relationships werenot explored. The increase in self-efficacy seems to be directly related to the teachingexperience, a key part of the “performance outcome” measure of self-efficacy theory [41] inwhich having positive mastery experiences in a given topic increases your self-efficacy in thatspace.The second article presented a case study focused on a Latina CS transfer student (Juliet)attending a Hispanic Serving Institutions, who almost left CS due to “ability hierarchies” sheperceived within her introductory CS course [43]. Ability hierarchies are
studies were a very positive experience in their learning ofengineering principles. They found the case studies to be informative, interesting, and enjoyable.One student said, “If you can find more case studies like this online, it would be worthwhile togive them to us.” Another applauded the fact that the case studies merged engineering principleswith information from other majors, such as business, architecture, and law. Their commentsranged from “overall it was a good experience” to “this is one of my most enjoyable classes.”Based upon the pre and post surveys that address the perceptual measures (gain in higher-ordercognitive skills, improvement in self-efficacy and improvement in team working skills), we findthat both the experimental