students but leave prior to graduation course designed based on the Affinity Research Groups (ARG) modeldue to a lack of interest in the general coursework and an Paper presented at ASEE Zone 1 Conference - Spring 2023, State College,, Pennsylvania. 10.18260/1-2-45064inability to adjust to the "college process." Research shows [2] Carberry, Adam & Lee, Hee-Sun & Ohland, Matthew. (2010).that these and other underrepresented students are often busy Measuring Engineering Design Self-Efficacy. Journal of Engineeringwith outside obligations, so engaging in research
, 0.79 and 0.72 for Factor 1, Factor 2, and Factor 3, respectively.We examine correlations between the three factors of the ARS-30 and three factors on the CD-RISC scale. The factor analysis for the CD-RISC yielded three resilience factors based on theresilience literature (in measure of Self- efficacy, Faith and Tenacity). The results showed thatthe all three factors from the ARS-30 were significantly correlated (r = 0.24 ~0.69) to the factorsderived from the CD-RISC measure (see Table 2).Table 2…. Correlations between factors extracted from ARS-30 and CD-RISC 1 2 3 4 5 6ARS-30 1. Persevera 1 -.38** .55** .66** .39** .61
years, researchers have explored the possibility of incorporating maker activities informal school classrooms [1]. In a year-long study with 121 middle-school students (ages 8-11)who participated in weekly maker activities incorporated into school days, Chu et al., foundsignificant impacts on students’ science self-efficacy and identity, as well as, making self-efficacy and interest. The researchers developed a series of survey instruments for the projectthat they deployed in a pretest-posttest mode to measure youth’s interest, self-efficacy and self-identity with respect to making and science [1].In addition to the type of assessment and the specific tools used, the mode of deployment canalso impact results. The majority of previous studies in
methodsperformed in a satisfactory manner.From educational perspective, this project has provided invaluable graduate researchexperience. Student engagement is an important concept to the learning process, even asa graduate student [8]. The skills and self-efficacy gained from this project have helpedprepare the author for his pursuit of higher education at Purdue University and hisensuing career in the engineering field.References[1] Pledgie, Stephen. Barner, Kenneth E. Agrawal, Sunil K. (2000, March). Rahman, Tariq. Tremor Suppression Through Impedance Control [Electronic Version]. IEEE Transactions on Rehabilitation Engineering, 8(1), 53-59.[2] Chwaleba, Augustyn. Jakubowski, Jacek. Kwiatos, Krzystof. The measuring set and signal
hypothesis were tinkering self-efficacy (three items, Cronbach alpha value0.89), engineering recognition (3 items, Table 1 Out-of-school STEM exposureCronbach alpha value 0.85), and engineering Categories listed on Survey Yes Noagency beliefs (seven items, Cronbach alpha Science fair 6 12value 0.87; [50]–[53] and one item to examine Robotics competition 1 17 Engineering competition 1 17understanding, i.e., I know what engineering After school STEM 4 14is. All survey questions were measured using program/cluba Likert scale of 0
not be surprising. There are a total of15 subscales in the MSLQ, but each subscale can be used alone or in conjunction withany other scale depending on need. The subscales of interest in the present study are asfollows: ● Intrinsic goal orientation (a measure that focuses on learning and mastery) ● Control of learning beliefs (beliefs that outcomes are the result of effort rather than luck) ● Self-efficacy (beliefs about competence and ability)Ideally, as the semester progress students will increase intrinsic goal orientation – thebelief that outcomes are the result of effort rather than luck, and increase self-efficacy.The Academic Entitlement Scale17 is also used as an assessment tool. Even with therecent development of
reviewed for data for fall 2014 freshman. Quantitativeanalysis, using Excel, identified academic indicators which occurring most frequently amongststudents who left the university after their freshman year.Phase 2: This phase includes both quantitative and qualitative data analysis.o A survey will be administered to all advisors (n=41). Survey participation is voluntary. The survey includes both quantitative and qualitative measures (see Appendix C). The quantitative data is in the form of Likert-scale questions assessing the advisor’s knowledge of advising approaches and his/her self-efficacy in working with at-risk students. SPSS will be utilized to analyze the data. The quantitative data is in the form of open
measures focus on student learning outcomes, as well as student attitudestoward science and engineering and self-efficacy. This paper examines the overall STEM-Inc project design and outcomes, especially the yearover year changes in project implementation based on both research needs and findings fromprior year. Results from three years of project implementation showed positive indicators in bothformative and summative data, which supported the use of business entrepreneurship practicesfor engaging middle school students, especially those from underrepresented groups, in STEMlearning.IntroductionSTEM workers drive America’s innovation and competitiveness by generating new ideas,companies and industries. The National Science Board (2010) cites
relational. Conversely, graduatingengineers tend to be primarily analytical despite industry demand for greater diversity. This aspectis spurred by research indicating diverse teams produce better results. Therefore, new elementswere integrated into selected C&A courses to better engage and retain students in all HBDIquadrants, such as: Experiential workshops Service-learning Kinesthetic "hands-on" activities Group discussion and cooperative learning Brainstorming and visualization Industrial site visits Engineering design case studies Teaming Engineering synthesis and historical perspectivesResults of student typology and self-efficacy assessment about student professional developmentand curricular
embarked on the design, implementation, and testing of amobile application (app) that offers an alternative venue for FBD practice. The app providesstudents with asynchronous opportunities for training, varied tasks that target specific FBDissues, and several levels of immediate feedback. We hypothesize that the gamifiedenvironment and puzzle-based gameplay will improve student skill and self-efficacy in drawingFBDs, particularly for women, who may feel less confident in their spatial skills. Data collected todescribe student experiences may also provide additional insight into how to improve FBDinstruction generally.In this paper, we detail the process for designing and implementing the app and provide initialdata regarding student impressions
students (URES) suffer 60% attrition in their freshmencohort leading to only 40% earning a B.S. degree in engineering. Three key reasons are poorteaching and advising; the difficulty of the engineering curriculum; and a lack of “belonging” withinengineering. Each, in some way, erodes a student’s self-efficacy, or confidence in his or her ability toperform [1]. The American Society of Engineering Educators conducted two recent national studieson freshmen engineering cohort retention: Going the Distance and reported the following B.S.degree completion outcomes by ethnicity: Asian Americans-66.5%, Caucasian-59.7% /Hispanic/Latino-44.4% , Native American-38.6%, African American-38.3%, and All Females-61%. [2]The attrition problem is concentrated in
anintroduction to that career, 3) highlight the completion of a degree (e.g. associates, bachelors,masters, etc.), 4) be reasonable for one class period, and 5) include related photos, figures, tables,etc. Participants completed a working draft of their module asynchronously during the evening ofDay 2 and then presented their modules at the beginning of Day 3 for feedback from their peers.Methodology A total of six teachers participated in the virtual workshop. Each participant was asked tocomplete the Teaching Engineering Self-Efficacy Scale (TESS) survey [3] before the workshopbegan and after the participant presentations on Day 3. The TESS survey is a tool that wasdeveloped to measure teacher preparedness in regard to engineering related
. Turner, J. E., Husman, J., & Schallert, D. L. (2002). The Importance of Students' Goals in Their Emotional Experience of Academic Failure: Investigating the Precursors and Consequences of Shame. Educational Psychologist, 37(2), 79-89. doi:10.1207/S15326985EP3702_3 18. Carberry, A. R., Lee, H., & Ohland, M. W. (2010). Measuring engineering design self-efficacy. Journal of Engineering Education, 99(1), 71-79. 19. Hutchison, M. A., Follman, D. K., Sumpter, M., & Bodner, G. M. (2006). Factors influencing the self- efficacy beliefs of first-year engineering students. Journal of Engineering Education, 95(1), 39-47. doi:10.1002/j.2168-9830.2006.tb00876.x 20. Marra, R. M., Rodgers, K. A
exercises. In the lecture time, the instructor focused on the subjectsthat were problems to students from their quiz results and questions raised after groupdiscussion. Then the instructor used question sets for group activities and discussions. Thestudent group discussion was led by the assigned group leaders. Pre- and post-tests wereconducted for the AFL. The survey results were analyzed to compare students’ learningengagement, empowerment, self-efficacy, and satisfaction between the traditional classroomand with the AFL. It was found that the AFL model, by taking advantage of advancedtechnology, is a convenient and professional avenue for engineering students to strengthentheir academic confidence and self-efficacy in Engineering Mechanics by
(MathEngineering Science Achievement) Community College Program (MCCP) at six colleges in two 1states, examining student experiences via a survey, focus groups, and statistical data analysis.The research explores MCCP influence on student self-efficacy, interest, perception, andpersistence in relation to STEM majors and careers. While none of what follows will come as a surprise to readers, it is worthreviewing the stubborn and troubling gaps in the numbers of underrepresented minorities(URM’s) with majors and careers in STEM fields. URM’s represent over 40% of K-12 students(National Research Council, 2011; National Academy of Sciences, 2016
success of the new school. “IntroductoryMathematics for Engineering Applications” is an integral part of the model which has aproven success rate of not only improving retention and consequently graduation rate butalso improving self-efficacy of students with above average high school GPA’s. It is believedthat, “The hard workers make it through because the course helps them believe they can doit.”4 This was especially true for females who, “Felt more strongly that the course hadincreased their chances of success in engineering than did males. It helped them believe thatthey had chosen the right major, and the result was an even greater impact on ultimategraduation rates.”4Therefore, the purpose of implementing this course for the student is to
-building exercises designed to emphasize the team-oriented approach to engineering. The participants were able to get to know one-another througha number of ice breaker-type exercises.TEAMS was held for the first time in June, 1996, and hosted 38 participants, 31% of whom wereminorities. Participant evaluations were extremely positive, and a pre/post questionnaireincluding the Math/Science Interest Inventory14 and the Mathematics Self-Efficacy Scale15indicated that the girls were more interested in math and science, and much more confident intheir math abilities, upon completion of the program. In 1996 TEAMS was funded by a one-timeSeized Asset Community Action (SACA) grant through the City of Tempe. TEAMS will befunded by Intel Corporation in
the median for each EVT prompt and mean for each of the EVT constructs werecalculated. Paired T-tests were used to determine if there were any statistical significance of thedifferences (p value equal or less than 0.05) between the motivation constructs (i.e., interest, attainment, 2utility, self-efficacy, and cost) of students in the pre-writing and writing phase. Lastly, Cohen’s d wasdetermined to measure the effect size of the possible differences.LimitationsThe greatest limitation in this study is the low number of participants due to the limited number ofstudents enrolled in the CEE program under study. The sampling distribution
self-efficacy,sense of belonging and increased self-care. In general, having a strong sense of belonging andself-efficacy within STEM is strongly linked to academic success [8] and increases motivation topursue STEM education [9]. The researchers adapted measures form the Prematriculation Inventory (PMI) developedat and for the University of Illinois at Chicago. The PMI measures noncognitive assets that havebeen found to correlate to academic success for first year undergraduate students [10]. The PMIis administered at UIC to first year students prior to starting their first semester (i.e. pre-matriculation). The PMI includes a battery of items focused on what it terms noncognitive assets.Noncognitive assets include skills, strategies
may have had adifferent level of understanding of trusses than students in the control section, but the CATS didnot include any questions specific to trusses. Future assessment efforts would benefit from usingadditional tools to measure content knowledge.Social Cognitive Career Theory (SCCT)Social Cognitive Career Theory19 has been adapted from the more general Social CognitiveTheory20 to specifically consider the way that the social cognitive variables (self-efficacy,outcome expectations, and goals) interact with other variables in the environment to describecareer development. SCCT is composed of three overlapping models that describe how people1) develop interests in specific careers, 2) make choices about and take actions in pursuit
our research group include a more detailed synthesis of these frameworks and thedevelopment and validation of a measure that can be used across different outreach programs.Conclusion The current body of literature suggests the presence of common impacts onundergraduate engineering students who participate in outreach. Communication and technicalskills were frequently included as an area of improvement, along with motivational and identity-related constructs such as identification with engineering and self-efficacy for professionalbehaviors. Although research and evaluation of engineering outreach has increased over the past20 years, further efforts must more clearly theorize, assess, and compare the impact of varioustypes and
Consensus-Building Skills, (3) Dispositions– Valuing Community Engagement,Self-Efficacy, Social Trustee of Knowledge, and (4) Behavioral Intentions.Interpersonal Reactivity IndexThe Interpersonal Reactivity Index [15] is a self-report psychometric instrument that measuresself-reported empathic tendencies via four subscales. In this study, we utilized only twosubscales from the Interpersonal Reactivity Index: (1) Perspective-Taking and (2) EmpathicConcern. Perspective-Taking represents one’s tendency to consider the perspectives of another orothers in general (i.e., non-engineering or science specific) everyday interactions. We describeperspective-taking as cognitive, meaning its focus is on mental processes and rational thought, aswell as other
in sense of belonging were also reported between domestic and international STEMdoctoral students [10],[13], in turn underscoring the need for increased understanding sense ofbelonging from the international student perspective, particularly in the context of engineeringdoctoral education.Our earlier work [1] related to understanding international doctoral students’ sense of belongingis a first step in responding to this identified need. We investigated students’ perception of theirinterpersonal interactions with peers and faculty and the associated relationships on their sense ofbelonging. The findings include a conceptual model that demonstrates the different constructs ofbelongingness, (e.g., engineering self-efficacy, academic sense of
should be provided by the OIR. Goal three includes activitiesOffice of Institutional Research. As for the HOME partici- that support the student’s personal and professional develop-pants, out of the 189 students, only six have changed majors ment. Future measurements should include data to measureand 18 have not completed a degree in engineering or com- the student’s self-efficacy. No measurements were taken toputer science. assess Goal four. However, future measurements should in- clude the level of engagement for members in the community. TABLE II
Well-being to produce effective outcomes. For example, according toRyff and Singer, there are six dimensions of Well-being [11]. The first dimension is self-acceptance, which predominantly targets increasing self-efficacy and creating a strongersense of self among teachers. Faculty development programs have been shown to increaseteachers’ self-efficacy [12], which in turn improves student learning, motivation andcontentment [13], and improve teaching practices [14] as an outcome. The second dimensionis the positive relationship with others, which articulates the need for social support amongteachers to exhibit Well-being [15]. Various research has shown that learning as a groupduring faculty development programs has a significant impact on the
c Society for Engineering Education, 2020 Studying the Factors affecting Women Recruitment and Retention in Engineering Alissa Papernik, Amanda Dias-Liebold, Anu Osta, Jennifer Kadlowec Rowan University, Glassboro, NJAbstractWomen in engineering face different challenges than men in engineering programs due toengineering being a male dominated field. This impacts their recruitment, retention, and futurecareer paths. Women often face issues such as lowered sense of self-efficacy, poorer groupexperiences, and less stable support networks. The goal of this multi-semester study was to findthe factors that help recruit and retain women engineering
% lower than males at LSU. The same confidence issues that ethnicminorities feel might explain this small decrease. The stigma that engineering is a maledominated career field can subconsciously affect female students by reducing their confidenceand self-efficacy, and a correlation clearly exists between self-efficacy and success in STEMfields (11, 12).2.3 The LSES Minority Students of low socioeconomic status (LSES) have to overcome many barriers to gettingan education that other students do not face. These students are often solely responsible forpaying their own way through college, having to work full-time jobs while taking a full load ofdifficult classes. These students often have additional financial burdens that can make the path
EEPs – entrepreneurial self-efficacy, desirability, entrepreneurial intent, life transitions,information and resources, opportunities and barriers. Recommendations for engineeringeducation researchers and implications for entrepreneurship education research are offered.IntroductionWith the advent of a technology-driven global economy, institutions of higher educations areincreasingly investing in providing undergraduate engineering students with learningenvironments that assist in their professional formation. In addition to technical skills, academiahas recognized the importance of developing domain-general skills needed to solve futureproblems [1]. Engineering entrepreneurship education has been noted as a platform fordeveloping 21st century
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
engineering,while the lowest, 14 %, in computer-science in 2014 [4]. Some prior studies indicatedthat the low representation of females in engineering program was closely associatedwith gender differences observed in students’ learning experience, self-efficacy andlearning outcomes [5][6][7]. Others, moreover, observed that gender differences in termsof students’ self-efficacy, engagement level and performance presented significantchallenges to the teaching and learning process in engineering education [7].Particular challenges for female students have been observed in the team-workingenvironment of a project-based learning process [8]. Project-based Teaching, as one ofthe core teaching methods, has been widely adopted in engineering education