students assigned no mentor. A survey was sent out at threepoints throughout the year to monitor the students’ experiences and a fourth survey was sent oneyear after the program ended. The survey measured self-efficacy, feelings of threat andchallenge, and career goals. College transcripts also were collected to monitor students gradesand retention information. The study concluded same-gender peer mentoring increasesconfidence, motivation, and retention for women in engineering. Pairing a female student with afemale mentor had a greater impact with 100% retention than pairing a female student with amale mentor with 82% retention. However, there was no indication that the mentoring programincreased average GPA’s. Although there is limited
, innovation and member college engagement. Prior to joining UNCF, Dr. Reid was Associate Dean of Undergraduate Education and Director of the Office of Minority Education at the Massachusetts Institute of Technology (MIT). Dr. Reid earned both his Bachelor’s and Master’s of Science degrees in Materials Science and Engineering from MIT, and his Doctorate of Education from the Harvard Graduate School of Education. His research interests include exploring the relationships between racial identity and self-efficacy, and their influence on the academic achievement of African American males in higher education.Dr. Trina L. Fletcher, University of Arkansas at Pine Bluff Dr. Fletcher is currently an Assistant Professor at the
capital in rural development, networking and decision-making in rural areas," Journal of Alpine Research, vol. 95, no. 4, pp. 43-56, 2007.[27] C. C. Chen, P. G. Greene, and A. Crick, "Does entrepreneurial self-efficacy distinguish entrepreneurs from managers?," Journal of Business Venturing vol. 13, pp. 295-316, 1998.[28] J. Cheng, "Intrapreneurship and exopreneurship in manufacturing firms: An empirical study of performance implications," Journal of Enterprising Culture, vol. 9, no. 2, pp. 153-171, 2001.[29] E. J. Douglas and J. R. Fitzsimmons, "Intrapreneurial intentions vs.entrepreneurial intentions: Distinct constructs with different antecedents," Small Business Economics, vol. 41, no. 1
, and A. Crick, "Does entrepreneurial self-efficacy distinguish entrepreneurs from managers?," Journal of Business Venturing vol. 13, pp. 295-316, 1998.[29] J. Cheng, "Intrapreneurship and exopreneurship in manufacturing firms: An empirical study of performance implications," Journal of Enterprising Culture, vol. 9, no. 2, pp. 153-171, 2001.[30] E. J. Douglas and J. R. Fitzsimmons, "Intrapreneurial intentions vs.entrepreneurial intentions: Distinct constructs with different antecedents," Small Business Economics, vol. 41, no. 1, pp. 115-149[Online]. Available: http://www98.griffith.edu.au/dspace/bitstream/handle/10072/55296/80979_1.pdf?sequen ce=1[31] Enterprise Florida. (2008). Statewide
. ‘Non-persisting’ students are those leaving engineering because of the academic climate, grades, self-efficacy, high school preparation, career goals, and gender or race [20]. Moreover, students leave STEM because of a lack of belonging [3], [24], “chilly” climate [25], microaggressions [26], conflicting identities [26]–[28], and not identifying with the field [29]–[31]. This literature on student perceptions highlights how their decisions are influenced by how they see themselves as being capable. This suggests how students’ perceptions affect their decisions which can be influenced by several cognitive and non-cognitive factors. Therefore, students’ observations in school inform the actions they take, and what they see as
is the S-SMART Summer Internship Program, which offerscommunity college students who have limited previous research experience meaningfulopportunities to engage in engineering research with close mentorship from faculty and peermentors, as well as gain hands-on teamwork experience. Research has shown that closementorship and teamwork can enhance academic performance, increase retention and persistenceto graduation, improve confidence and self-efficacy, and enhance career preparation, particularlyamong URM students [13]–[15]. The eight-week summer internship program aims to have ten totwelve community college students from diverse backgrounds in group research projects acrossseveral engineering disciplines within research labs at SFSU School
., 2010, “Measuring engineering design self-efficacy,” Journal ofEngineering Education, 99, pp. 71-79. Page 26.1074.11 AppendixThe rubric used for peer evaluation to determine individual contributions is shown below. Peer Rating of Team Members: ENGR 350 In the table below, write down the names of the individual members of the group in which you worked for the project as part of ENGR 350 this semester. Rate your participation and the participation of each group member. You have to rate the degree to which each member fulfilled his
population of the engineering students and retaining them to the end of their educationaljourney, and toward the ultimate goal of professional licensure.Service leaning has been proven to be an invaluable tool to recruit and retain engineering students, a studyconducted by Astin et al (2000) found that in a study of 22,000 students, integrating service learning hadsignificant positive effects on 11 outcome measurements including critical thinking skills, values,leadership and self-efficacy. Eyles & Giles (1999) studied 20 universities and the effect of a service-learning based curriculum on over 1500 students. The results indicated an increased positive impact in the
Learning Questionnaire (MSLQ) is a self-report instrumentdesigned to assess college students’ motivational orientation and their use of different learningstrategies for a college course. According to [14], the instrument is a measure of student self-efficacy, intrinsic value, test anxiety, self-regulation, and use of learning strategies. Constructsfrom this survey center on measures of the types of learning strategies and academic motivationused by college students. This instrument uses 44-items with a 7-point likert-type scale withstatements focused on student motivation, cognitive strategy use, metacognitive strategy use, andmanagement of effort. Additionally, a number of researchers have also utilized the MSLQ toexamine whether there is a
students interests towards pursuing a graduate degree.The physical and psychological impacts of student involvement, such as attending social events,giving oral presentations, being part of a group, club, organization, etc., have been studied widelyby scholars [31][32][33][34]. They have shown a major role in students’ self-efficacy andpersistence and positively impact students’ academic autonomy, career, and lifestyle planning[32][35][36][37]. “Academic involvement, involvement with faculty, and peer involvement” arethe three most powerful involvement forms according to the literature [31]. Likewise, learning ina group is an effective practice in promoting greater academic achievement, promising attitudestoward learning, and increasing
students’ digital literacies and assessment. Recently, Dr. Hsu has received a seed grant at UML to investigate how undergradu- ate engineering students’ digital inequalities and self-directed learning characteristics (e.g., self-efficacy) affect their learning outcomes in a virtual laboratory environment during the COVID-19 pandemic. Dr. Hsu’s research interests include advanced quantitative design and analysis and their applications in STEM education, large-scale assessment data (e.g., PISA), and engineering students’ perception of faculty en- couragement and mentoring.Dr. Yanfen Li, University of Massachusetts Lowell Yanfen Li is an Assistant Teaching Professor at the University of Massachusetts Lowell. She received
conducted a study comparing the performance of students who did and did not useavailable forms of SI and correlated performance outcomes with factors deterring students fromusing the offered forms of SI. Our focus this year is to identify statistically significant trends inour data from this year’s and last year’s classes and assess the impact of level of participation inSI on student self-efficacy and attitude towards SI for freshmen enrolled in a required generalchemistry course.To understand a student’s choice to participate in SI and to determine correlations with courseassessments and grades, students enrolled in a required general chemistry course were surveyedat the beginning and at the end of the semester. This year (fall 2014) 524 students
, they are more likely to overcome obstacles in their academic journey, allowingthemtobuildresilience.Academicresilienceissignificantlyassociatedwithenhanced performance and a greater likelihood of achieving educational goals, as resilient students are better able to overcome challenges and maintain motivation [17]. Research supports that self-efficacy,orbeliefinone'sabilities,enhancesmotivationandengagement,whicharecrucialf oracademicsuccess[18].Higherself-efficacyisassociatedwiththeuseofdeepercognitiveand metacognitive strategies, ultimately resulting in better academic
highschool internships that engage students in authentic STEM environments [2], [3]. High schoolinternships are especially impactful for underrepresented minority (URM) female students inSTEM [1]. Prior research has shown that these internship opportunities can increase students’sense of self-efficacy in STEM fields, give students insight into career paths they might nototherwise be exposed to, and increase students’ interest in and pursuit of STEM-related majorsand careers.The home environment can also provide opportunity for students to increase and strengthenSTEM identity and the consideration of STEM careers. A model for STEM identity has beendeveloped as a framework building on disciplinary studies and includes the interplay of threeelements
ongoing research, implementing favorable employmentlaws, and ensuring women's voices are heard in decision-making [11]. According to Howe-Walsh et al. [17], women in the United Arab Emirates (UAE) prioritizework prestige in their career choices, regardless of whether they work for a public or privatecompany. This preference for work prestige may challenge women who value balancing theirprofessional and personal goals, as it could limit their career opportunities [17]. Researchers have identified several factors and challenges that affect women's entry,persistence, or departure from STEM fields. For instance, one study found that these factorsincluded the relationship between self-efficacy and competence, religious and personal
Education, vol. 34, no. 4, 2012.[40] J. E. Dowd et al., “Student learning dispositions: Multidimensional profiles highlight important differences among undergraduate stem honors thesis writers,” CBE Life Sci Educ, vol. 18, no. 2, Jun. 2019, doi: 10.1187/cbe.18-07-0141.[41] M. Sumpter, D. Follman, and M. Hutchison, “2006-1812: WHAT AFFECTS STUDENT SELF-EFFICACY IN AN HONORS FIRST-YEAR ENGINEERING COURSE? What Affects Student Self-Efficacy in an Honors First-Year Engineering Course?,” in ASEE Annual Conference and Exposition, 2006.[42] S. Conrad, S. S. Canetto, D. Macphee, and S. Farro, “What attracts high-achieving, socioeconomically-disadvantaged students to the physical sciences and engineering?,” Coll Stud
permission to work with PhD Balance and their posts for this project. Werecognize her support and assistance in moving this project forward.Bibliography[1] Nature Editorials, “Being a PhD student shouldn’t be bad for your health,” Nature, vol. 569, no. 7756, pp. 307–307, May 2019.[2] K. Levecque, F. Anseel, A. De Beuckelaer, J. Van der Heyden, and L. Gisle, “Work organization and mental health problems in PhD students,” Res. Policy, vol. 46, no. 4, pp. 868–879, May 2017.[3] C. Liu et al., “Prevalence and associated factors of depression and anxiety among doctoral students: the mediating effect of mentoring relationships on the association between research self-efficacy and depression/anxiety,” Psychol. Res
) Least Strongest Mean 1 2 3 4 5 As 5 being very successful, how successful was the research experience overall learning new materials 4.89 0.0% 0.0% 0.0% 11.1% 88.9% and methods? Again 5 being strongest, how much the research experience increased your self efficacy towards 4.67 0.0% 0.0% 0.0% 33.3% 66.7% research and continuous learning? As 5 being very likely, given chance and you continue at the College, how likely you would like to continue 4.67 0.0% 0.0% 0.0% 33.3% 66.7% research on this or similar topics? As 5 being strongest, how this
student’s self-efficacy beliefs [24], is itpossible that exposure to SI prior to college has a measurable effect during the freshman year ofcollege and beyond? This question brings up an important follow-up: what role does genderhave, if any, in these effects?Study contextTo learn more about the impact of prior experience with SI and the effect of perceptions andattitudes towards utilization of SI and course subject, data for students enrolled in a requiredfirst-semester general chemistry course for engineering students during the fall 2016 semester atNortheastern University were collected and analyzed. Lecture sections of 70-120 students,meeting three times weekly in 65-minute blocks, were taught by an instructor. These lecturesalso were divided
, the research team is made up of two junior tenure-track faculty membersfrom the departments of architectural (structural) engineering and computer science. The facultyadvisors collaborate to set overarching goals and outcomes of the project, but more or less,independently lead a team of students in their respective fields. The teaching institutionadvocates applied learning opportunities that promote student initiative and self-efficacy. As aresult, students are involved in project development including presenting suggestions fordeliverables and participating in research dissemination.This paper focuses on the educational outcomes of the multidisciplinary research. Specifically, itsummarizes the research roles, learning gains, and unique
pursue a professional computing industry careerpathway [11]. Factors hindering computing students from pursuing internships are studentinterest in internships include, lower self-efficacy, the challenging application process forinternships, and other priorities such as family, focusing on their GPA, etc. [12]. Less frequently,students may consider going into business for themselves as an entrepreneurship pathway. Jobmarket conditions and socioeconomic status are primary factors influencing the students’decision to pursue entrepreneurship [4], [13]. Finally, though perhaps not exhaustively, studentscan consider attending graduate school and conducting research through a master’s or Ph.D.degree. Students’ interest and actual enrollment in graduate
affects students in these majors negatively.Instructor characteristics such warmth and encouragement are associated with a strong sense ofbelonging [30] and these are typically absent in the traditional teaching methods employed inengineering [7]. Additionally, sense of belonging is directly related to a student's self-efficacy tosucceed and their value of their coursework [30]. In return this lack of value in their curriculumcan support the perception of a poor campus climate as they feel as they are not supported tosucceed.In terms of the elements related to diversity and inclusion, engineering students showed a higherknowledge of campus programs, policies, and efforts than the other two groups; however, theyhad a significantly lower levels of
biomedicalengineering. After cleaning up with attention checks, we have in total 158 Japanese engineeringstudents (7 female, 149 male, mean age = 19.96) and 209 American engineering students (80female, 128 male, 1 other, mean age = 24.3) who have completed the survey. Amongst theAmerican participants were White American: 56%, African American: 10%, Latino American:14% , Asian American: 27%, Native Americans: 2 and Pacific Islander: 1. Based on a singlesubjective socioeconomic status measure (0 - worst off to 10 - best off), we retrieved the subjectivesocioeconomic status, which was comparable between Japanese participants (mean = 6.39, SD =1.94) and American participants (mean = 6.35, SD = 1.72). The participants took the survey in2020 after the COVID-19
engineering; what it takes to be successful inthe engineering program; and their advice to incoming minority students. A fourth questionasked for their assessment of the effectiveness of seven academic support program components.Major student responses were coded for thematic content or tabulated and then entered intoregression equations against four measures of achievement, including students’ GPA, longevityin the program, average SAT/ACT scores of minority students in the school of matriculation, andtheir school's effectiveness in graduating minority students as assessed by 6-year graduationrates. Responses positively associated with achievement indices were then factor analyzed toisolate common clusters associated with success in engineering
% 55.0% 50.0% No Intervention Design Intervention Early Career Intervention Non First Gen Retained First Gen Retained Figure 4: First Generation vs. Non-First Generation Retention Rates by Intervention TypeFirst generational students are at a higher risk of not being retained in any college major, let alonein engineering, citing their lack of preparedness, lack of integration into postsecondary education,and lower self-efficacy than their non-first generational peers [19-20]. While the original purposeof this study was not to increase first-generational retention rates, the prospective results ofintervention were enticing enough to warrant further
realistic Page 26.848.2problems. Engaging in PBL is challenging for both teachers and students, but when compared totraditional learning methods, has been shown to lead to improved attitudes, self-efficacy, andlearning gains on both traditional subject matter and problem-solving skills11. Underrepresentedminorities specifically have also been found to benefit in these ways from PBL curricula andtraining for their teachers12.Efficacy StudyThe intent of an efficacy study is to test whether an educational innovation, implemented underideal conditions, has a causal effect on student outcomes13. Resources should be ample andfidelity carefully monitored
enhancing collaboration between peers andpotentially easing the difficulty of the engineering curriculum for some students. Strategies thathave been found to be effective for learning in engineering classrooms and promoting community-building amongst students include cooperative learning activities, model-eliciting activities,problem-based learning, inquiry-based laboratories, and learning communities.3 The use of studentself-assessment tools can help students to increase self-efficacy and confidence in theirengineering-related abilities.11 Many universities are currently utilizing multi-pronged approachesthat include improvements to mentoring and academic advising, the development of a communityof belonging, and improvements to teaching in the
number of students that fail to complete the coursewith a C or better, a requirement to avoid retaking the course. The impact of the supervisionswas measured through the use of final course grades, student performance on summativeassessments, and surveys. The results show that supervisions positively impacted student successand persistence, but there is some concern with its effects on student self-efficacy. In addition, itwas found that supervisions did not affect student use of crutches.SupervisionsCambridge and Oxford Universities both assign problems to students that become the focus ofsmall group discussions called supervisions. The discussions are facilitated by a supervisor.Typically, the supervisor a graduate student, post-doctoral
college andstudent demographic characteristics, as well as aspects of the college environment and otherexperiences during college that also affect development. The review of the literature on factorsthat affect leadership development, presented next, is organized according to this framework.Demographics and leadershipStudents arrive to college with a variety of characteristics and experiences shown to influence theirleadership development before college. Gender in particular has been shown to affect leadershipattributes in a number of ways and is a source of extensive research [32], even if findings in thisareas are not entirely uniform [33]. For example, male leaders report greater self-efficacy, whilefemale leaders demonstrate higher competency